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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Acta Biochim. Pol.</journal-id>
<journal-title-group>
<journal-title>Acta Biochimica Polonica</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Acta Biochim. Pol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1734-154X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">16122</article-id>
<article-id pub-id-type="doi">10.3389/abp.2026.16122</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The yields of nucleic acids and proteins extracted from various murine tissue types</article-title>
<alt-title alt-title-type="left-running-head">Chen et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/abp.2026.16122">10.3389/abp.2026.16122</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Chen</surname>
<given-names>Yifan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Dong</surname>
<given-names>Xixuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xue</surname>
<given-names>Lixiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yin</surname>
<given-names>Zhongnan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3326435"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Institute of Medical Innovation and Research, Peking University Third Hospital</institution>, <city>Beijing</city>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Cancer Center, Peking University Third Hospital</institution>, <city>Beijing</city>, <country country="CN">China</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Biobank, Peking University Third Hospital</institution>, <city>Beijing</city>, <country country="CN">China</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>National Human Genetic Resources Center, National Research Institute for Family Planning</institution>, <city>Beijing</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Lixiang Xue, <email xlink:href="mailto:lixiangxue@hsc.pku.edu.cn">lixiangxue@hsc.pku.edu.cn</email>; Zhongnan Yin, <email xlink:href="mailto:yinzhongnan2016@163.com">yinzhongnan2016@163.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-07-29">
<day>29</day>
<month>07</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>73</volume>
<elocation-id>16122</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>21</day>
<month>05</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>07</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Chen, Dong, Xue and Yin.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Chen, Dong, Xue and Yin</copyright-holder>
<license>
<ali:license_ref start_date="2026-07-29">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>To characterize deoxyribonucleic acid (DNA), ribonucleic acid (RNA), and protein yields extracted from tissue of fourteen&#xa0;mouse organ types to establish baseline yield estimates for these biomolecules and provide guidance for tissue sample usage and storage in biomedical studies.</p>
</sec>
<sec>
<title>Methods</title>
<p>Six wild-type C57BL/6J and six BALB/c nude mice were euthanized and fresh tissues were collected for extracting total DNA, RNA, and protein. The concentration, purity, and quality of nucleic acids were measured with NanoDrop&#x2122; One spectrophotometer, gel electrophoresis or capillary electrophoresis. Protein concentration was determined using the bicinchoninic acid (BCA) method.</p>
</sec>
<sec>
<title>Results</title>
<p>DNA yields were highest in the colorectum and lowest in bone. RNA yields were highest in the colorectum and spleen of C57BL/6J and BALB/c nude mice, respectively, and lowest in bone. Protein yields were highest in the kidney and liver of C57BL/6J and BALB/c nude mice, respectively, and lowest in bone. The tissue quantities required to obtain 10&#xa0;&#x3bc;g of DNA, 10&#xa0;&#x3bc;g of RNA, and 1&#xa0;mg of protein were calculated and presented along with corresponding tissue sizes.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>DNA, RNA, and protein yields varied significantly across different mouse tissue types. These findings provide a reference for estimating tissue sample sizes needed for downstream assays and optimizing the preservation of mouse tissues.</p>
</sec>
</abstract>
<kwd-group>
<kwd>biobank</kwd>
<kwd>DNA yield</kwd>
<kwd>mouse tissue samples</kwd>
<kwd>protein yield</kwd>
<kwd>RNA yield</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by grants from the Non-profit Central Research Institute Fund of National Research Institute for Family Planning (2025GJPY03).</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="25"/>
<page-count count="14"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>DNA, RNA, and proteins are fundamental to biomedical research. Advances in high-throughput technologies, such as whole-genome sequencing, RNA sequencing, and metabolomics, have increased the demand for high-quality tissue samples (<xref ref-type="bibr" rid="B3">Bagger et al., 2024</xref>; <xref ref-type="bibr" rid="B25">Zhao et al., 2023</xref>; <xref ref-type="bibr" rid="B8">Eldjarn et al., 2023</xref>; <xref ref-type="bibr" rid="B18">Smail and Montgomery, 2024</xref>; <xref ref-type="bibr" rid="B21">Want et al., 2012</xref>). These approaches enable molecular profiling of diseases and facilitate the discovery of biomarkers and disease mechanisms (<xref ref-type="bibr" rid="B10">Kalia, 2015</xref>; <xref ref-type="bibr" rid="B16">Ross, 2011</xref>). Appropriate preservation of tissue samples, especially those that are rare or difficult to acquire, is essential to maximize their research value (<xref ref-type="bibr" rid="B23">Yu and Zhu, 2010</xref>).</p>
<p>Often, the same original sample is allocated for multiple assays, requiring aliquoting into smaller portions for different types of analyses. This poses a challenge for biobanks, where storage space is limited. Thus, it is critical to determine optimal sample amounts that ensure sufficient material for future studies while conserving storage resources. However, systematic data on DNA, RNA, and protein yields from fresh tissues are lacking. Previous studies have reported yields from autopsy-derived or formalin-fixed tissues (<xref ref-type="bibr" rid="B14">Pearce et al., 2024</xref>; <xref ref-type="bibr" rid="B2">Austin et al., 2016</xref>; <xref ref-type="bibr" rid="B17">Siuta et al., 2023</xref>; <xref ref-type="bibr" rid="B19">Stroh et al., 2021</xref>), but long-term storage or chemical treatment can degrade nucleic acids and proteins, making those estimates inapplicable to fresh or short-term cryopreserved tissues. Certain applications, such as metabolic profiling or DNA methylation analysis, specifically require fresh or non-formalin-fixed tissues (<xref ref-type="bibr" rid="B7">Dumenil et al., 2014</xref>; <xref ref-type="bibr" rid="B21">Want et al., 2012</xref>). Previous studies have demonstrated that nucleic acid and protein yields vary across tissue types and mouse strains. For instance, plasma protein concentrations differ substantially between C57BL/6J and BALB/cJ mice (<xref ref-type="bibr" rid="B12">Michaud et al., 2018</xref>), and protocols for RNA extraction from challenging tissues such as bone have been established using column-based methods (<xref ref-type="bibr" rid="B11">Marek et al., 2019</xref>). Commercial technologies now enable simultaneous stabilization and purification of DNA, RNA, and protein from a single tissue sample, underscoring the feasibility of multi-analyte yield assessments. However, a systematic baseline for DNA, RNA, and protein yields across fresh tissues from multiple murine strains remains lacking.</p>
<p>In this study, we quantified DNA, RNA, and protein yields from fresh tissues of fourteen organ types across two&#xa0;mouse strains. Our results provide baseline yield values for these biomolecules, facilitating better planning of tissue storage and use in downstream applications.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Animals</title>
<p>Female wild-type C57BL/6J mice (9&#x2013;10 weeks old, 18&#x2013;22&#xa0;g) and BALB/c nude mice (7&#x2013;8 weeks old, 18&#x2013;20&#xa0;g) were obtained from the Animal Center of Peking University Health Science Center. All procedures were approved by the Institutional Animal Care and Use Committee of Peking University (PUIRB-LA2023330). All the methods and experimentation were performed according to the relevant regulations and guidelines, including the ARRIVE guidelines. Mice were housed under standard conditions with <italic>ad libitum</italic> access to food and water. After a two-day acclimatization period, mice were euthanized through cervical dislocation, and the following tissues were collected: bone (from the tibia and femur excluding bone marrow), colorectum, heart, kidney, liver, lung, lymph node (from the inguinal and axillary regions), muscle (from the gastrocnemius and tibialis anterior muscles of the leg), ovary, skin, spleen, stomach, thymus, and uterus from C57BL/6J mice; since the thymus and lymph nodes are absent or minimally developed in BALB/c nude mice, only the other twelve types of tissue were collected. Cervical dislocation was performed without prior anesthesia, as the use of anesthetics may interfere with downstream molecular analyses; this method is accepted for rapid euthanasia by trained personnel (AVMA Guidelines for the Euthanasia of Animals: 2020 Edition). Tissue weights ranged from 6 to 45&#xa0;mg. Larger tissues were divided into small pieces and homogenized using a Mixer Mill (Retsch, 30&#xa0;Hz, 3&#xa0;min) in appropriate lysis buffer until no visible lumps remained.</p>
</sec>
<sec id="s2-2">
<title>Extraction of DNA, RNA, and protein</title>
<p>DNA and RNA were extracted from separate tissue aliquots using the QIAamp DNA Mini Kit and RNeasy Plus Universal Mini Kit (Qiagen), respectively. All procedures were performed strictly in accordance with the manufacturer&#x2019;s instructions using manual procedures performed individually per analyte. Elution volumes were 50&#xa0;&#x3bc;L for DNA and 40&#xa0;&#x3bc;L for RNA. Concentration and purity (260/280&#xa0;nm ratio) were determined using a NanoDrop&#x2122; One spectrophotometer. DNA integrity was evaluated by agarose gel electrophoresis; approximately 1&#xa0;&#x3bc;g of genomic DNA was mixed with 2&#xa0;&#x3bc;L of 0.25% bromophenol blue solution and separated at 16&#xa0;V/cm for 30&#xa0;min on a 1% agarose gel in Tris-borate-EDTA (TBE) buffer. DNA bands were visualized under ultraviolet (UV) light and photographed using the Tanon System. RNA quality was assessed using capillary electrophoresis (Fragment Analyzer 5200).</p>
<p>For protein extraction, tissues (except bone) were homogenized in radioimmunoprecipitation assay (RIPA) buffer (Thermo Scientific, 25&#xa0;mM Tris-HCl pH 7.6, 150&#xa0;mM NaCl, 1% NP-40, 1% sodium deoxycholate, 0.1% sodium dodecyl sulfate (SDS) supplemented with Protease Inhibitor Cocktail (AMRESCO), incubated on ice for 30&#xa0;min, and centrifuged at 13,600&#xa0;g for 20&#xa0;min at 4&#xa0;&#xb0;C. The supernatant was collected as total protein, as previously reported (<xref ref-type="bibr" rid="B6">Chen et al., 2025</xref>). Bone tissue was processed using a Bone Tissue Protein Extraction Kit (Aidisheng): Fresh bone tissue samples were soaked in phosphate-buffered saline (PBS) buffer at 4&#xa0;&#xb0;C twice. The bones were then washed with distilled water to remove any residual red blood cells. The bone tissue was cut into small pieces, weighed, and placed into a mortar filled with liquid nitrogen, where it was ground into a fine powder. 500&#xa0;&#x3bc;L of Protein Extract A, along with 2&#xa0;&#x3bc;L of protease inhibitor and 2&#xa0;&#x3bc;L of protein stabilizer, was added to 200&#xa0;mg of bone tissue. The mixture was shaken at 4&#xa0;&#xb0;C for 30&#xa0;min and subjected to ultrasound at 80&#x2013;100&#xa0;W for 20 cycles in an ice bath (5s ultrasound/5s interval). Subsequently, the mixture was centrifuged at 4&#xa0;&#xb0;C at 12,000&#xa0;g for 10&#xa0;min. The supernatant was collected as the total protein extract from the bone tissue. Protein concentrations were measured using the bicinchoninic acid (BCA) Protein Assay kit (Thermo Scientific). A total of 25&#xa0;&#x3bc;L of protein sample and 200&#xa0;&#x3bc;L of BCA working solution were added to a 96-well plate, followed by incubation at 37&#xa0;&#xb0;C for 30&#xa0;min. The absorbance was then measured at 570&#xa0;nm using a microplate reader (Tecan). A standard curve (y &#x3d; 1.2416x - 0.1685, R<sup>2</sup> &#x3d; 0.996) was generated based on the absorbance values of various concentrations of bovine serum protein standards (0&#xa0;&#x3bc;g/mL, 25&#xa0;&#x3bc;g/mL, 125&#xa0;&#x3bc;g/mL, 250&#xa0;&#x3bc;g/mL, 500&#xa0;&#x3bc;g/mL, 750&#xa0;&#x3bc;g/mL, 1,000&#xa0;&#x3bc;g/mL, 1,500&#xa0;&#x3bc;g/mL, and 2000&#xa0;&#x3bc;g/mL).</p>
</sec>
<sec id="s2-3">
<title>Statistical analysis</title>
<p>For each tissue type, six biological replicates (n &#x3d; 6 per strain) were used. Data are now presented as mean &#xb1; standard deviation. Data were analyzed using GraphPad Prism 9.3.0. One-way ANOVA with <italic>post hoc</italic> tests (Newman-Keuls, Tukey, or Kruskal-Wallis) was used for multiple comparisons. A p-value &#x3c;0.05 was considered significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Purity of DNA extracted from tissues of different organ types</title>
<p>DNA was extracted from mouse tissues of various organs, including bone, colorectum, heart, kidney, liver, lung, lymph node, muscle, ovary, skin, spleen, stomach, thymus, and uterus. The optical density (OD) ratios at 260/280&#xa0;nm of DNA from each group were measured using a NanoDrop&#x2122; One microvolume spectrophotometer (<xref ref-type="fig" rid="F1">Figure 1A</xref>). In C57BL/6J mice, the average 260/280 ratios across the fourteen tissue groups ranged from 1.91 &#xb1; 0.03 to 2.02 &#xb1; 0.04, with no statistically significant differences among groups (P &#x3e; 0.05). Similarly, in BALB/c nude mice, the average ratios across twelve groups ranged from 2.00 &#xb1; 0.06 to 2.13 &#xb1; 0.02, also with no significant intergroup differences (P &#x3e; 0.05). Nearly all DNA samples exhibited purity within the accepted range of 1.8&#x2013;2.1 (<xref ref-type="bibr" rid="B1">Ahlberg et al., 2021</xref>; <xref ref-type="bibr" rid="B15">Qian et al., 2017</xref>), indicating that high-purity DNA can be consistently extracted from different organ types using the same method.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Purity, yields, and quality of DNA extracted from tissue of different types of organs. <bold>(A)</bold> The ratios of OD 260&#xa0;nm to OD 280&#xa0;nm of the DNA extracted from bone, colorectum, heart, kidney, liver, lung, lymph node, muscle, ovary, skin, spleen, stomach, thymus, and uterus in C57BL/6J (fourteen organ types) and BALB/c nude mice (twelve organ types). The results were shown as boxplots, n &#x3d; 6. <bold>(B)</bold> Yields of the DNA extracted from tissue of twelve (BALB/c nude) to fourteen (C57BL/6J) organ types. The results were shown as boxplots (n &#x3d; 6). <bold>(C)</bold> Gel electrophoresis of the extracted DNA from C57BL/6J mice. <bold>(D)</bold> Gel electrophoresis of the extracted DNA from BALB/c nude mice. M: DNA marker.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="abp-73-16122-g001.tif">
<alt-text content-type="machine-generated">Figure composed of four panels labeled A through D comparing nucleic acid extraction from various mouse tissues. Panel A shows two scatter plots of OD 260/280 ratios for C57BL/6J and BALB/c nude mice, with similar values across tissues. Panel B shows DNA yields in micrograms per milligram of tissue for each strain, revealing more variation between tissue types. Panels C and D display agarose gel electrophoresis images for genomic DNA integrity from different tissues; each gel has labeled lanes for tissue types with molecular weight marker (M) and bands of varying intensity and size.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2">
<title>Yields and quality of DNA extracted from tissues of different organ types</title>
<p>DNA yields were compared across organ types. Concentrations were measured using the NanoDrop&#x2122; One, and yields were calculated based on the tissue weight used for extraction as previously studies did by normalizing yields to tissue weight (<xref ref-type="bibr" rid="B9">Hofstetter et al., 1997</xref>; <xref ref-type="bibr" rid="B14">Pearce et al., 2024</xref>; <xref ref-type="bibr" rid="B2">Austin et al., 2016</xref>; <xref ref-type="bibr" rid="B19">Stroh et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Zeng et al., 2024</xref>; <xref ref-type="bibr" rid="B17">Siuta et al., 2023</xref>) (<xref ref-type="fig" rid="F1">Figure 1B</xref>; <xref ref-type="table" rid="T1">Table 1</xref>). Yields were normalized to tissue weight by dividing the total amount of DNA (&#xb5;g) by the tissue mass (mg) used for extraction. In C57BL/6J mice, the highest DNA yields were obtained from kidney (1.98 &#xb1; 0.33&#xa0;&#x3bc;g/mg), spleen (2.03 &#xb1; 0.26&#xa0;&#x3bc;g/mg), and colorectum (2.45 &#xb1; 0.61&#xa0;&#x3bc;g/mg), while the lowest yields were from bone (0.22 &#xb1; 0.07&#xa0;&#x3bc;g/mg) and muscle (0.38 &#xb1; 0.12&#xa0;&#x3bc;g/mg). In BALB/c nude mice, the highest yields came from colorectum (4.50 &#xb1; 1.19&#xa0;&#x3bc;g/mg), stomach (4.60 &#xb1; 0.69&#xa0;&#x3bc;g/mg), and uterus (3.82 &#xb1; 0.71&#xa0;&#x3bc;g/mg), and the lowest from bone (0.51 &#xb1; 0.13&#xa0;&#x3bc;g/mg), heart (0.76 &#xb1; 0.14&#xa0;&#x3bc;g/mg), and muscle (0.59 &#xb1; 0.05&#xa0;&#x3bc;g/mg). Coefficients of variation (CV%) for DNA yields per organ type are presented in <xref ref-type="table" rid="T4">Table 4</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>The yields of DNA extracted from tissue of fourteen organ types.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Types of organs</th>
<th colspan="3" align="center">C57BL/6J</th>
<th colspan="3" align="center">BALB/c nude</th>
</tr>
<tr>
<th align="center">Yield (ug/mg tissue)</th>
<th align="center">Adjusted P (vs. colorectum)</th>
<th align="center">Adjusted P (vs. bone)</th>
<th align="center">Yield (ug/mg tissue)</th>
<th align="center">Adjusted P (vs. colorectum)</th>
<th align="center">Adjusted P (vs. bone)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Bone</td>
<td align="center">0.22 &#xb1; 0.07</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x2014;</td>
<td align="center">0.51 &#xb1; 0.13</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">Colorectum</td>
<td align="center">2.45 &#xb1; 0.61</td>
<td align="center">&#x2014;</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">4.50 &#xb1; 1.19</td>
<td align="center">&#x2014;</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Heart</td>
<td align="center">0.58 &#xb1; 0.25</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.5025</td>
<td align="center">0.76 &#xb1; 0.14</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.9976</td>
</tr>
<tr>
<td align="center">Kidney</td>
<td align="center">1.98 &#xb1; 0.33</td>
<td align="center">0.2103</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">1.29 &#xb1; 0.23</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.3373</td>
</tr>
<tr>
<td align="center">Liver</td>
<td align="center">1.41 &#xb1; 0.21</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">3.09 &#xb1; 1.25</td>
<td align="center">0.0086</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Lung</td>
<td align="center">1.69 &#xb1; 0.25</td>
<td align="center">0.0061</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">1.76 &#xb1; 0.35</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0259</td>
</tr>
<tr>
<td align="center">Lymph node</td>
<td align="center">1.10 &#xb1; 0.32</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0009</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">Muscle</td>
<td align="center">0.38 &#xb1; 0.12</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.9951</td>
<td align="center">0.59 &#xb1; 0.05</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3e;0.9999</td>
</tr>
<tr>
<td align="center">Ovary</td>
<td align="center">0.62 &#xb1; 0.26</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.3728</td>
<td align="center">1.39 &#xb1; 0.46</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.2121</td>
</tr>
<tr>
<td align="center">Skin</td>
<td align="center">0.50 &#xb1; 0.32</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.7876</td>
<td align="center">3.42 &#xb1; 0.52</td>
<td align="center">0.0739</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Spleen</td>
<td align="center">2.03 &#xb1; 0.26</td>
<td align="center">0.3358</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">1.91 &#xb1; 0.53</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0093</td>
</tr>
<tr>
<td align="center">Stomach</td>
<td align="center">1.03 &#xb1; 0.49</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0025</td>
<td align="center">4.60 &#xb1; 0.69</td>
<td align="center">&#x3e;0.9999</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Thymus</td>
<td align="center">1.75 &#xb1; 0.44</td>
<td align="center">0.0153</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">Uterus</td>
<td align="center">0.62 &#xb1; 0.33</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.3834</td>
<td align="center">3.82 &#xb1; 0.71</td>
<td align="center">0.4976</td>
<td align="center">&#x3c;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data were shown as mean &#xb1; standard deviation, n &#x3d; 6.</p>
</fn>
<fn>
<p>NA: Not available.</p>
</fn>
<fn>
<p>Colorectum was selected as the reference tissue because it showed the highest DNA, yield in C57BL/6J mice, providing a consistent baseline for pairwise comparisons. For BALB/c nude mice, stomach showed similarly high yield, but colorectum was retained as reference for cross-strain consistency.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>DNA quality was evaluated by gel electrophoresis (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>). Most extracts showed intact bands around 20&#xa0;kb, though mild degradation was observed in DNA from colorectum, spleen, stomach, and thymus. These findings demonstrate that DNA yield varies by tissue type when using a standardized extraction protocol.</p>
</sec>
<sec id="s3-3">
<title>Tissue quantity required for 10&#xa0;&#x3bc;g DNA extraction</title>
<p>To facilitate biobank sample handling, we determined the amount of tissue needed to obtain 10&#xa0;&#x3bc;g of DNA, a typical requirement for applications such as PCR (While a single qPCR reaction requires only 10&#x2013;100&#xa0;ng of DNA, the total amount needed for a comprehensive experiment (including multiple targets, replicates, and standard curves) can reach 10&#x2013;100&#xa0;&#xb5;g) and whole-genome sequencing (WGS). Correlation analysis confirmed a positive relationship between starting tissue weight and DNA yield within the same tissue type using the same extraction method (<xref ref-type="sec" rid="s12">Supplementary Figure S1A</xref>). The tissue masses required to extract 10&#xa0;&#x3bc;g DNA are then calculated and summarized in <xref ref-type="table" rid="T5">Table 5</xref>. Since weighing tissue manually is often impractical, we also provided visual references comparing tissue sizes to common seeds (e.g., sesame, rice, mung bean; <xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="sec" rid="s12">Supplementary Figures S1B&#x2013;M</xref>). For example, in C57BL/6J mice, 5.71&#xa0;mg of thymus is comparable to a sesame seed, and 9.08&#xa0;mg of lymph node tissue approximates three lymph nodes, each smaller than a sesame seed.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>The amounts and sizes of tissue needed for the extraction of 10 &#x03BC;g of DNA in C57BL/6J mice. <bold>(A-N)</bold> Each figure presents the relative sizes of tissue for the extraction of 10 &#x03BC;g of DNA (middle), the corresponding intact organ (left, except for lymph node and bone; Muscle was obtained from both thighs; Skin was from the back of the mouse), and the referenced seed (right, sesame, rice, and mung bean).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="abp-73-16122-g002.tif">
<alt-text content-type="machine-generated">Fifteen labeled panels (A&#x2013;N) display various mouse organs and tissues next to similarly sized food items and a ruler for scale. Each panel shows a labeled organ sample with its mass in milligrams, next to a reference food (rice, sesame, or mung bean) of comparable size. The images facilitate visual comparison of organ sizes with familiar foods, aiding non-expert interpretation of sample scale.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4">
<title>Purity of RNA extracted from tissues of different organ types</title>
<p>RNA was extracted from the same set of organ types. The 260/280&#xa0;nm ratios were measured using a NanoDrop&#x2122; One (<xref ref-type="fig" rid="F3">Figure 3A</xref>). In C57BL/6J mice, average ratios per group ranged from 1.95 &#xb1; 0.14 to 2.08 &#xb1; 0.03; in BALB/c nude mice, they ranged from 1.88 &#xb1; 0.09 to 2.10 &#xb1; 0.03. No significant differences were found among groups (P &#x3e; 0.05). Nearly all values fell within the accepted purity range of 1.8&#x2013;2.1 (<xref ref-type="bibr" rid="B1">Ahlberg et al., 2021</xref>; <xref ref-type="bibr" rid="B15">Qian et al., 2017</xref>), confirming that the extraction method consistently yields high-purity RNA across organ types.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Purity, yields, and quality of RNA extracted from tissue of different types of organs. <bold>(A)</bold> The ratios of OD 260&#xa0;nm to OD 280&#xa0;nm of the RNA extracted from bone, colorectum, heart, kidney, liver, lung, lymph node, muscle, ovary, skin, spleen, stomach, thymus, and uterus in C57BL/6J (fourteen organ types) and BALB/c nude mice (twelve organ types). The results were shown as boxplots, n &#x3d; 6. <bold>(B)</bold> Yields of the RNA extracted from tissue of twelve (BALB/c nude) to fourteen (C57BL/6J) organ types. The results were shown as boxplots (n &#x3d; 6). <bold>(C)</bold> RNA integrity measured by capillary electrophoresis with Fragment Analyzer 5200. The results were shown as boxplots (n &#x3d; 6). RQN: RNA Quality Number.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="abp-73-16122-g003.tif">
<alt-text content-type="machine-generated">Figure displays three grouped scatter plots comparing RNA quality (OD 260/280 ratio), RNA yield, and RQN across multiple tissues from C57BL/6J and BALB/c nude mice. Each tissue is identified by different colored data points with error bars, shown along the x-axis labels. Panel A shows OD 260/280 nm measurements, panel B shows yields of RNA per milligram, and panel C shows RQN values for each tissue and strain.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-5">
<title>Yields and quality of RNA extracted from tissues of different organ types</title>
<p>RNA concentrations were measured, and yields were normalized to tissue weight by dividing the total amount of RNA (&#xb5;g) by the tissue mass (mg) used for extraction (<xref ref-type="fig" rid="F3">Figure 3B</xref>; <xref ref-type="table" rid="T2">Table 2</xref>). In C57BL/6J mice, the highest RNA yields were from colorectum (3.46 &#xb1; 0.28&#xa0;&#x3bc;g/mg), kidney (2.96 &#xb1; 0.39&#xa0;&#x3bc;g/mg), and liver (2.80 &#xb1; 0.50&#xa0;&#x3bc;g/mg), while the lowest were from bone (0.16 &#xb1; 0.05&#xa0;&#x3bc;g/mg), muscle (0.34 &#xb1; 0.10&#xa0;&#x3bc;g/mg), and skin (0.25 &#xb1; 0.07&#xa0;&#x3bc;g/mg). In BALB/c nude mice, the highest yields were from spleen (3.79 &#xb1; 0.73&#xa0;&#x3bc;g/mg), liver (2.63 &#xb1; 0.71&#xa0;&#x3bc;g/mg), and colorectum (2.24 &#xb1; 0.65&#xa0;&#x3bc;g/mg), and the lowest from bone (0.13 &#xb1; 0.06&#xa0;&#x3bc;g/mg), muscle (0.37 &#xb1; 0.07&#xa0;&#x3bc;g/mg), and skin (0.53 &#xb1; 0.18&#xa0;&#x3bc;g/mg). CV values are provided in <xref ref-type="table" rid="T4">Table 4</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The yields of RNA extracted from tissue of fourteen organ types.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Types of organs</th>
<th colspan="3" align="center">C57BL/6J</th>
<th colspan="3" align="center">BALB/c nude</th>
</tr>
<tr>
<th align="center">Yield (ug/mg tissue)</th>
<th align="center">Adjusted P (vs. colorectum)</th>
<th align="center">Adjusted P (vs. bone)</th>
<th align="center">Yield (ug/mg tissue)</th>
<th align="center">Adjusted P (vs. spleen)</th>
<th align="center">Adjusted P (vs. bone)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Bone</td>
<td align="center">0.16 &#xb1; 0.05</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x2014;</td>
<td align="center">0.13 &#xb1; 0.06</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">Colorectum</td>
<td align="center">3.46 &#xb1; 0.28</td>
<td align="center">&#x2014;</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">2.24 &#xb1; 0.65</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Heart</td>
<td align="center">0.60 &#xb1; 0.17</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.1139</td>
<td align="center">1.03 &#xb1; 0.20</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0388</td>
</tr>
<tr>
<td align="center">Kidney</td>
<td align="center">2.96 &#xb1; 0.39</td>
<td align="center">0.0497</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">2.43 &#xb1; 0.39</td>
<td align="center">0.0004</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Liver</td>
<td align="center">2.80 &#xb1; 0.50</td>
<td align="center">0.0037</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">2.63 &#xb1; 0.71</td>
<td align="center">0.0035</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Lung</td>
<td align="center">1.49 &#xb1; 0.08</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">1.17 &#xb1; 0.27</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0119</td>
</tr>
<tr>
<td align="center">Lymph node</td>
<td align="center">0.71 &#xb1; 0.21</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0273</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">Muscle</td>
<td align="center">0.34 &#xb1; 0.10</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.9413</td>
<td align="center">0.37 &#xb1; 0.07</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.9874</td>
</tr>
<tr>
<td align="center">Ovary</td>
<td align="center">0.41 &#xb1; 0.23</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.7116</td>
<td align="center">1.06 &#xb1; 0.70</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0304</td>
</tr>
<tr>
<td align="center">Skin</td>
<td align="center">0.25 &#xb1; 0.07</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.9999</td>
<td align="center">0.53 &#xb1; 0.18</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.7703</td>
</tr>
<tr>
<td align="center">Spleen</td>
<td align="center">2.07 &#xb1; 0.29</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">3.79 &#xb1; 0.73</td>
<td align="center">&#x2014;</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Stomach</td>
<td align="center">2.46 &#xb1; 0.48</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">1.98 &#xb1; 0.65</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Thymus</td>
<td align="center">1.21 &#xb1; 0.24</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">Uterus</td>
<td align="center">1.15 &#xb1; 0.32</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">1.71 &#xb1; 0.41</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data were shown as mean &#xb1; standard deviation, n &#x3d; 6.</p>
</fn>
<fn>
<p>NA: Not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>RNA quality was assessed by capillary electrophoresis (<xref ref-type="fig" rid="F3">Figure 3C</xref>; <xref ref-type="sec" rid="s12">Supplementary Figures S2, S3</xref>). The RNA quality number (RNA quality number (RQN)) ranged from 6 to 10 across all organ types except stomach, indicating good integrity. Thus, RNA yield also varies substantially across tissues under standardized extraction conditions.</p>
</sec>
<sec id="s3-6">
<title>Tissue quantity required for 10&#xa0;&#x3bc;g RNA extraction</title>
<p>We next determined the tissue mass required to obtain 10&#xa0;&#x3bc;g of RNA, a common amount needed for real-time PCR or RNA-seq. A positive correlation was observed between tissue input and RNA yield within the same tissue group using the same extraction method (<xref ref-type="sec" rid="s12">Supplementary Figure S4A</xref>). The tissue masses required to extract 10&#xa0;&#x3bc;g RNA are then calculated and summarized in <xref ref-type="table" rid="T5">Table 5</xref>. Visual size comparisons using common seeds are provided in <xref ref-type="fig" rid="F4">Figure 4</xref> and <xref ref-type="sec" rid="s12">Supplementary Figures S4B&#x2013;M</xref>. For instance, in C57BL/6J mice, 6.73&#xa0;mg of lung tissue is roughly equivalent to a sesame seed, and 14.17&#xa0;mg of lymph node tissue corresponds to four lymph nodes, each smaller than a sesame seed.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>The amounts and sizes of tissue needed for the extraction of 10 &#x03BC;g of RNA in C57BL/6J mice. <bold>(A-N)</bold> Each figure presents the relative sizes of tissue for the extraction of 10 &#x03BC;g of RNA (middle), the corresponding intact organ (left, except for lymph node and bone. Muscle was obtained from both thighs. Skin was from the back of the mouse), and the referenced seed (right, sesame, rice, mung bean, and soybean).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="abp-73-16122-g004.tif">
<alt-text content-type="machine-generated">Panel figure displaying small samples of various mouse organs and tissues including bone, colorectum, heart, kidney, liver, lung, lymph node, muscle, ovary, skin, spleen, stomach, thymus, and uterus, each labeled with tissue name, sample mass in milligrams, and a common food seed for size comparison, all positioned adjacent to a millimeter ruler for scale.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-7">
<title>Yields of total protein extracted from tissues of different organ types</title>
<p>Total protein was extracted from all organ types using RIPA buffer (or a specialized kit for bone). Protein concentration was determined via BCA assay, and yields were normalized to tissue weight by dividing the total amount of protein (&#xb5;g) by the tissue mass (mg) used for extraction. (<xref ref-type="fig" rid="F5">Figure 5A</xref>; <xref ref-type="table" rid="T3">Table 3</xref>). In C57BL/6J mice, the highest protein yields were from kidney (124.39 &#xb1; 12.06&#xa0;&#x3bc;g/mg) and liver (120.18 &#xb1; 8.44&#xa0;&#x3bc;g/mg), and the lowest from bone (18.69 &#xb1; 5.91&#xa0;&#x3bc;g/mg). In BALB/c nude mice, the highest yields were from liver (192.31 &#xb1; 4.90&#xa0;&#x3bc;g/mg), lung (169.50 &#xb1; 8.83&#xa0;&#x3bc;g/mg), and heart (168.10 &#xb1; 15.89&#xa0;&#x3bc;g/mg), and the lowest from bone (43.34 &#xb1; 17.22&#xa0;&#x3bc;g/mg). Coefficients of variation (CV%) for protein yields per organ type are presented in <xref ref-type="table" rid="T4">Table 4</xref>. These results indicate that protein yield is also highly tissue-dependent when using the same extraction method.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Yields of protein extracted from tissue of different types of organs. <bold>(A)</bold> Yields of the protein extracted from bone, colorectum, heart, kidney, liver, lung, lymph node, muscle, ovary, skin, spleen, stomach, thymus, and uterus in C57BL/6J (fourteen organ types) and BALB/c nude mice (twelve organ types). The results were shown as boxplots (n &#x3d; 6). <bold>(B&#x2013;O)</bold> Each figure presents the relative sizes of tissue for the extraction of 1&#xa0;mg of protein (middle), the corresponding intact organ (left, except for lymph node and bone. Muscle was obtained from both thighs. Skin was from the back of the mouse), and the referenced seed (right, sesame, rice, mung bean, and red bean).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="abp-73-16122-g005.tif">
<alt-text content-type="machine-generated">Figure composed of two scatter plots and multiple labeled photographs. Scatter plots at the top compare protein yields from various mouse tissues in C57BL/6J and BALB/c nude strains, with individual points and colored categories for each tissue type. Below, labeled panels B to O display photographs of dissected mouse organs with their respective protein yields in milligrams, alongside various seeds or beans for size comparison, all positioned against metric rulers to illustrate relative sizes.</alt-text>
</graphic>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>The yields of protein extracted from tissue of fourteen organ types.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Types of organs</th>
<th colspan="3" align="center">C57BL/6J</th>
<th colspan="3" align="center">BALB/c nude</th>
</tr>
<tr>
<th align="center">Yield (ug/mg tissue)</th>
<th align="center">Adjusted P (vs. Kidney)</th>
<th align="center">Adjusted P (vs. bone)</th>
<th align="center">Yield (ug/mg tissue)</th>
<th align="center">Adjusted P (vs. liver)</th>
<th align="center">Adjusted P (vs. bone)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Bone</td>
<td align="center">18.69 &#xb1; 5.91</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x2014;</td>
<td align="center">43.34 &#xb1; 17.22</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">Colorectum</td>
<td align="center">66.23 &#xb1; 12.1</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">113.31 &#xb1; 6.24</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Heart</td>
<td align="center">96.44 &#xb1; 9.50</td>
<td align="center">0.0002</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">168.10 &#xb1; 15.89</td>
<td align="center">0.0123</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Kidney</td>
<td align="center">124.39 &#xb1; 12.06</td>
<td align="center">&#x2014;</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">158.30 &#xb1; 7.27</td>
<td align="center">0.0002</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Liver</td>
<td align="center">120.18 &#xb1; 8.44</td>
<td align="center">0.9979</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">192.31 &#xb1; 4.90</td>
<td align="center">&#x2014;</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Lung</td>
<td align="center">75.33 &#xb1; 7.40</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">169.50 &#xb1; 8.83</td>
<td align="center">0.0211</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Lymph node</td>
<td align="center">47.01 &#xb1; 11.71</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0002</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">Muscle</td>
<td align="center">51.31 &#xb1; 4.38</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">87.96 &#xb1; 6.71</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Ovary</td>
<td align="center">47.09 &#xb1; 6.45</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0002</td>
<td align="center">85.19 &#xb1; 8.14</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Skin</td>
<td align="center">40.85 &#xb1; 8.28</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0060</td>
<td align="center">77.60 &#xb1; 3.98</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">0.0001</td>
</tr>
<tr>
<td align="center">Spleen</td>
<td align="center">83.65 &#xb1; 12.24</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">128.43 &#xb1; 9.72</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Stomach</td>
<td align="center">88.20 &#xb1; 14.25</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">121.89 &#xb1; 14.78</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">Thymus</td>
<td align="center">69.96 &#xb1; 11.02</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">Uterus</td>
<td align="center">51.91 &#xb1; 5.28</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">111.22 &#xb1; 19.52</td>
<td align="center">&#x3c;0.0001</td>
<td align="center">&#x3c;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data were shown as mean &#xb1; standard deviation, n &#x3d; 6.</p>
</fn>
<fn>
<p>NA: Not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>The coefficients of variation (CV%) of the yields of DNA, RNA, and protein extracted from tissue of fourteen types of organs.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Coefficient of variation (%)</th>
<th colspan="2" align="center">DNA</th>
<th colspan="2" align="center">RNA</th>
<th colspan="2" align="center">Protein</th>
</tr>
<tr>
<th align="center">C57BL/6J</th>
<th align="left">BALB/c nude</th>
<th align="left">C57BL/6J</th>
<th align="left">BALB/c nude</th>
<th align="left">C57BL/6J</th>
<th align="left">BALB/c nude</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Bone</td>
<td align="center">36.05</td>
<td align="center">28.37</td>
<td align="center">34.28</td>
<td align="center">52.69</td>
<td align="center">34.65</td>
<td align="center">43.53</td>
</tr>
<tr>
<td align="center">Colorectum</td>
<td align="center">27.24</td>
<td align="center">28.96</td>
<td align="center">8.71</td>
<td align="center">31.87</td>
<td align="center">20.01</td>
<td align="center">6.03</td>
</tr>
<tr>
<td align="center">Heart</td>
<td align="center">48.18</td>
<td align="center">20.13</td>
<td align="center">30.77</td>
<td align="center">21.18</td>
<td align="center">10.79</td>
<td align="center">10.35</td>
</tr>
<tr>
<td align="center">Kidney</td>
<td align="center">18.02</td>
<td align="center">19.45</td>
<td align="center">14.32</td>
<td align="center">17.40</td>
<td align="center">10.62</td>
<td align="center">5.03</td>
</tr>
<tr>
<td align="center">Liver</td>
<td align="center">16.31</td>
<td align="center">44.33</td>
<td align="center">19.52</td>
<td align="center">29.71</td>
<td align="center">7.69</td>
<td align="center">2.79</td>
</tr>
<tr>
<td align="center">Lung</td>
<td align="center">16.12</td>
<td align="center">21.80</td>
<td align="center">5.83</td>
<td align="center">24.95</td>
<td align="center">10.76</td>
<td align="center">5.71</td>
</tr>
<tr>
<td align="center">Lymph node</td>
<td align="center">32.34</td>
<td align="center">NA</td>
<td align="center">32.53</td>
<td align="center">NA</td>
<td align="center">27.30</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">Muscle</td>
<td align="center">34.69</td>
<td align="center">9.86</td>
<td align="center">31.09</td>
<td align="center">21.20</td>
<td align="center">9.36</td>
<td align="center">8.35</td>
</tr>
<tr>
<td align="center">Ovary</td>
<td align="center">45.67</td>
<td align="center">36.35</td>
<td align="center">60.44</td>
<td align="center">72.43</td>
<td align="center">15.00</td>
<td align="center">10.47</td>
</tr>
<tr>
<td align="center">Skin</td>
<td align="center">70.73</td>
<td align="center">16.53</td>
<td align="center">29.18</td>
<td align="center">37.69</td>
<td align="center">22.20</td>
<td align="center">5.62</td>
</tr>
<tr>
<td align="center">Spleen</td>
<td align="center">14.06</td>
<td align="center">30.50</td>
<td align="center">15.30</td>
<td align="center">21.02</td>
<td align="center">16.03</td>
<td align="center">8.29</td>
</tr>
<tr>
<td align="center">Stomach</td>
<td align="center">51.53</td>
<td align="center">16.53</td>
<td align="center">21.39</td>
<td align="center">36.06</td>
<td align="center">17.70</td>
<td align="center">13.28</td>
</tr>
<tr>
<td align="center">Thymus</td>
<td align="center">27.42</td>
<td align="center">NA</td>
<td align="center">21.42</td>
<td align="center">NA</td>
<td align="center">17.26</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">Uterus</td>
<td align="center">57.85</td>
<td align="center">20.46</td>
<td align="center">30.50</td>
<td align="center">26.6</td>
<td align="center">11.15</td>
<td align="center">19.22</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NA: Not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-8">
<title>Tissue quantity required for 1&#xa0;mg protein extraction</title>
<p>We calculated the amounts of tissue from various organ types required to extract a specific quantity of protein. We first conducted the correlation analysis using data from the same tissue group and the results indicated that the yields of protein exhibited a positive correlation with the weight of the starting material (<xref ref-type="sec" rid="s12">Supplementary Figure S5A</xref>). Based on the results of correlation analysis, we calculated the amount of tissue needed to obtain 1&#xa0;mg of protein (<xref ref-type="table" rid="T5">Table 5</xref>). Size comparisons are illustrated in <xref ref-type="fig" rid="F5">Figures 5B&#x2013;O</xref> and <xref ref-type="sec" rid="s12">Supplementary Figures 5B&#x2013;M</xref>. For example, in C57BL/6J mice, 14.29&#xa0;mg of thymus is similar in size to a grain of rice, and 23.07&#xa0;mg of lymph node tissue corresponds to seven lymph nodes, each smaller than a sesame seed.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>The amount of tissue (mg) required for the extraction of 10&#xa0;&#xb5;g of DNA, 10&#xa0;&#xb5;g of RNA, and 1&#xa0;mg of protein.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Types of organs</th>
<th colspan="2" align="center">The amount of tissue (mg) needed for the extraction of 10&#xa0;&#x3bc;g of DNA</th>
<th colspan="2" align="center">The amount of tissue (mg) needed for the extraction of 10&#xa0;&#x3bc;g of RNA</th>
<th colspan="2" align="center">The amount of tissue (mg) needed for the extraction of 1&#xa0;mg of protein</th>
</tr>
<tr>
<th align="center">C57BL/6J</th>
<th align="center">BALB/c nude</th>
<th align="center">C57BL/6J</th>
<th align="center">BALB/c nude</th>
<th align="center">C57BL/6J</th>
<th align="left">BALB/c nude</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Bone</td>
<td align="center">46.14</td>
<td align="center">19.68</td>
<td align="center">62.92</td>
<td align="center">77.90</td>
<td align="center">53.51</td>
<td align="center">23.07</td>
</tr>
<tr>
<td align="center">Colorectum</td>
<td align="center">4.09</td>
<td align="center">2.22</td>
<td align="center">2.89</td>
<td align="center">4.47</td>
<td align="center">15.10</td>
<td align="center">8.83</td>
</tr>
<tr>
<td align="center">Heart</td>
<td align="center">17.28</td>
<td align="center">13.08</td>
<td align="center">16.54</td>
<td align="center">9.70</td>
<td align="center">10.37</td>
<td align="center">5.95</td>
</tr>
<tr>
<td align="center">Kidney</td>
<td align="center">5.06</td>
<td align="center">7.75</td>
<td align="center">3.38</td>
<td align="center">4.11</td>
<td align="center">8.04</td>
<td align="center">6.32</td>
</tr>
<tr>
<td align="center">Liver</td>
<td align="center">7.07</td>
<td align="center">3.24</td>
<td align="center">3.58</td>
<td align="center">3.81</td>
<td align="center">8.32</td>
<td align="center">5.20</td>
</tr>
<tr>
<td align="center">Lung</td>
<td align="center">5.93</td>
<td align="center">5.68</td>
<td align="center">6.73</td>
<td align="center">8.58</td>
<td align="center">13.28</td>
<td align="center">5.90</td>
</tr>
<tr>
<td align="center">Lymph node</td>
<td align="center">9.08</td>
<td align="center">NA</td>
<td align="center">14.17</td>
<td align="center">NA</td>
<td align="center">23.07</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">Muscle</td>
<td align="center">26.64</td>
<td align="center">16.86</td>
<td align="center">29.05</td>
<td align="center">27.12</td>
<td align="center">18.66</td>
<td align="center">11.37</td>
</tr>
<tr>
<td align="center">Ovary</td>
<td align="center">14.61</td>
<td align="center">7.17</td>
<td align="center">24.15</td>
<td align="center">9.43</td>
<td align="center">21.24</td>
<td align="center">11.74</td>
</tr>
<tr>
<td align="center">Skin</td>
<td align="center">20.09</td>
<td align="center">2.93</td>
<td align="center">40.05</td>
<td align="center">18.85</td>
<td align="center">24.48</td>
<td align="center">12.89</td>
</tr>
<tr>
<td align="center">Spleen</td>
<td align="center">4.93</td>
<td align="center">5.24</td>
<td align="center">4.84</td>
<td align="center">2.64</td>
<td align="center">11.95</td>
<td align="center">7.79</td>
</tr>
<tr>
<td align="center">Stomach</td>
<td align="center">9.68</td>
<td align="center">2.17</td>
<td align="center">4.07</td>
<td align="center">5.06</td>
<td align="center">11.34</td>
<td align="center">8.20</td>
</tr>
<tr>
<td align="center">Thymus</td>
<td align="center">5.71</td>
<td align="center">NA</td>
<td align="center">8.29</td>
<td align="center">NA</td>
<td align="center">14.29</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">Uterus</td>
<td align="center">16.24</td>
<td align="center">2.62</td>
<td align="center">8.73</td>
<td align="center">5.86</td>
<td align="center">19.26</td>
<td align="center">8.99</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NA, Not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-9">
<title>Correlations among DNA, RNA, and protein yields between the two&#xa0;mouse strains</title>
<p>Finally, we analyzed the correlation between DNA, RNA, and protein yields of C57BL/6J mice and BALB/c nude mice based on the weight-normalized median data points per organ (<xref ref-type="fig" rid="F6">Figures 6A&#x2013;C</xref>). The results showed a weak (DNA) or strong (RNA and protein) positive correlation in the yields between the two strains, suggesting similarity at least in the RNA and protein yields of the two strains.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>The correlation between the DNA <bold>(A)</bold>, RNA <bold>(B)</bold>, and protein <bold>(C)</bold> yields of C57BL/6 mice with that of BALB/c nude mice. Linear regression was performed using GraphPad Prism 9.3.0, with yield per tissue type as individual data points.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="abp-73-16122-g006.tif">
<alt-text content-type="machine-generated">Three scatter plots labeled A, B, and C compare DNA, RNA, and protein content (&#x3BC;g/mg) between C57BL/6J and BALB/c nude mice across twelve organs. Each colored point represents a different organ, matched to a legend below. Panel A shows weak correlation in DNA (R = 0.346, P = 0.27, R squared = 0.12), panel B shows a moderate correlation in RNA (R = 0.790, P = 0.0022, R squared = 0.624), and panel C shows a strong correlation in protein (R = 0.903, P &#x3C; 0.0001, R squared = 0.815). Dashed black and red dotted lines indicate regression and the line of identity, respectively.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In this study, we analyzed the yields of DNA, RNA, and protein extracted from various mouse tissue types, establishing a general baseline for these biomolecules across fourteen organ types using well-established extraction methods, specifically, widely available commercial kits and standard protocols for nucleic acid and protein isolation. Our results indicated that DNA yields were higher in organ types such as the colorectum and lower in bone. Similarly, RNA yields were elevated in the colorectum and spleen but reduced in bone. Protein yields were notably higher in the liver and kidney, while lower levels were detected in bone.</p>
<p>Based on these findings, we can estimate the amount of tissue from C57BL/6J and BALB/c nude mice required for downstream analyses. We calculated the tissue quantities needed to obtain specific amounts of DNA, RNA, and protein, such as 10&#xa0;&#x3bc;g of DNA, 10&#xa0;&#x3bc;g of RNA, and 1&#xa0;mg of protein, from both mouse strains. The corresponding physical sizes of these tissue amounts were illustrated using common seeds like sesame and rice as reference, aiding in practical estimation of sample requirements.</p>
<p>This baseline information can also guide the storage of mouse tissue samples in biobanks. For organ types yielding higher amounts of DNA, RNA, and protein, both storage volume and physical size can be reduced. Conversely, for organ types with lower biomolecule yields, larger storage volumes and sample sizes are recommended. Our systematic analysis of extraction yields across murine tissues offers actionable insights to improve biobanking strategies. These yield metrics support evidence-based allocation of limited tissue resources, especially for small organ types. By defining tissue-specific minimum masses required for reliable extraction of each biomolecule, our data help minimize waste while ensuring adequate material for downstream applications.</p>
<p>It is important to note that several factors may influence nucleic acid and protein yields, including the physiological state of the tissue (e.g., healthy vs. diseased), extraction methodologies (including homogenization techniques), and storage conditions (e.g., cryopreservation vs. paraffin-embedding) and duration. Therefore, the conclusions of this study are most directly applicable to experimental systems and mouse strains similar to those used here. Nonetheless, our data may still serve as a useful reference in other contexts. For example, in disease models where necrosis is present, larger tissue amounts may be needed for extraction or storage. Additionally, fixatives such as formalin and Bouin&#x2019;s solution can adversely affect the yield and quality of DNA, RNA, and protein. Previous studies have shown that cryopreserved tissues generally yield more DNA than paraffin-embedded samples, and prolonged storage of paraffin sections leads to increased degradation of nucleic acids (<xref ref-type="bibr" rid="B13">Okojie et al., 2024</xref>; <xref ref-type="bibr" rid="B4">Baloglu et al., 2008</xref>; <xref ref-type="bibr" rid="B22">Yi et al., 2020</xref>). Hence, under such conditions, larger tissue samples would be required. Conversely, if more efficient extraction methods are used, such as the TRIzol&#x2122; method for RNA (<xref ref-type="bibr" rid="B5">Ban et al., 2013</xref>; <xref ref-type="bibr" rid="B20">Sultan et al., 2014</xref>), smaller initial tissue amounts or storage volumes may be sufficient.</p>
<p>This study has several limitations. The extraction methods employed here are commonly used in contemporary biomedical research and are suitable for various downstream applications, including PCR, WGS, and whole-genome bisulfite sequencing (WGBS). Future studies could benefit from including data derived from alternative extraction protocols. Secondly, based on our quality assessments, mild degradation was observed in DNA or RNA extracted from the colorectum, spleen, stomach, and thymus. Given the high nuclease activity in these tissues, incorporating nuclease inhibitors (e.g., RNAlater) or rapid freezing in liquid nitrogen is recommended to prevent biomolecule degradation. Thus, for freshly collected tissues intended for direct analysis, implementing such pretreatment steps should be considered in future workflows. Additionally, the sample size (six mice per group) is relatively small and may not fully capture biological variability. Certain tissue types (e.g., bone, skin) exhibited relatively high coefficients of variation (%CV) for DNA, RNA, or protein yields. This variability may stem from both biological and technical factors. Biologically, tissues such as bone and skin are inherently heterogeneous, containing variable proportions of mineralized matrix, connective tissue, and cellular components, which can lead to substantial inter-individual differences in extractable biomolecules. Technically, complete homogenization of these tough tissues is more challenging, and residual nuclease or protease activity may differ between samples. These factors likely contribute to the observed higher %CV values. Future studies with larger sample sizes and optimized tissue-processing protocols may help further reduce this variability. Finally, the elution volumes of 50&#xa0;&#xb5;L for DNA and 40&#xa0;&#xb5;L for RNA were selected to achieve sufficient concentration for downstream applications while minimizing sample dilution. These volumes are within the ranges recommended by the kit manufacturers (QIAamp DNA Mini Kit: 50&#x2013;200&#xa0;&#x3bc;L; RNEasy Plus Universal Mini Kit: 30&#x2013;50&#xa0;&#xb5;L). It should be noted that alternative elution volumes may affect yield and concentration.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>The rational and efficient preservation and management of biological samples are essential for supporting high-quality scientific research. In this study, we extracted DNA, RNA, and protein from multiple mouse organ types and compared the yields of these biomolecules across different tissue types. We established a general baseline for the extraction of DNA, RNA, and protein from fourteen types of mouse tissues, thereby providing a valuable foundation for the economical and efficient preservation of mouse tissue samples.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The animal study was approved by Institutional Animal Care and Use Committee of Peking University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>YC: Formal analysis, Investigation, Writing-original draft, Funding acquisition. XD: Formal analysis, Investigation. LX: Conceptualization, Writing-review and editing. ZY: Conceptualization, Writing-review and editing. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="supplementary-material" id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontierspartnerships.org/articles/10.3389/abp.2026.16122/full#supplementary-material">https://www.frontierspartnerships.org/articles/10.3389/abp.2026.16122/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material>
<label>SUPPLEMENTARY FIGURE 1</label>
<caption>
<p>
<bold>(A)</bold> The correlation between the yield of DNA with the weight of the starting material from the bone tissue of BALB/c nude mice. <bold>(B&#x2013;M)</bold> The amounts and sizes of tissue needed for the extraction of 10&#xa0;&#x3bc;g of DNA in BALB/c nude mice. Each figure presents the relative sizes of tissue for the extraction of 10&#xa0;&#x3bc;g of DNA (middle), the corresponding intact organ (left, except for bone. Muscle was obtained from both thighs. Skin was from the back of the mouse), and the referenced seed (right, sesame, rice, and mung bean).</p>
</caption>
</supplementary-material>
<supplementary-material>
<label>SUPPLEMENTARY FIGURE 2</label>
<caption>
<p>Exemplary electropherograms of RNA integrity measured by capillary electrophoresis with Fragment Analyzer 5200 in C57BL/6J mice.</p>
</caption>
</supplementary-material>
<supplementary-material>
<label>SUPPLEMENTARY FIGURE 3</label>
<caption>
<p>Exemplary electropherograms of RNA integrity measured by capillary electrophoresis with Fragment Analyzer 5200 in BALB/c nude mice.</p>
</caption>
</supplementary-material>
<supplementary-material>
<label>SUPPLEMENTARY FIGURE 4</label>
<caption>
<p>
<bold>(A)</bold> The correlation between the yield of RNA with the weight of the starting material from the heart tissue of BALB/c nude mice. <bold>(B&#x2013;M)</bold> The amounts and sizes of tissue needed for the extraction of 10&#xa0;&#x3bc;g of RNA in BALB/c nude mice. Each figure presents the relative sizes of tissue for the extraction of 10&#xa0;&#x3bc;g of RNA (middle), the corresponding intact organ (left, except for bone. Muscle was obtained from both thighs. Skin was from the back of the mouse), and the referenced seed (right, sesame, rice, and mung bean).</p>
</caption>
</supplementary-material>
<supplementary-material>
<label>SUPPLEMENTARY FIGURE 5</label>
<caption>
<p>
<bold>(A)</bold> The correlation between the yield of protein with the weight of the starting material from the lymph node tissue of C57BL/6J mice. <bold>(B&#x2013;M)</bold> The amounts and sizes of tissue needed for the extraction of 1&#xa0;mg of protein in BALB/c nude mice. Each figure presents the relative sizes of tissue for the extraction of 1&#xa0;mg of protein (middle), the corresponding intact organ (left, except for bone. Muscle was obtained from both thighs. Skin was from the back of the mouse), and the referenced seed (right, sesame and rice).</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ahlberg</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Jenmalm</surname>
<given-names>M. C.</given-names>
</name>
<name>
<surname>Tingo</surname>
<given-names>L.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Evaluation of five column-based isolation kits and their ability to extract miRNA from human milk</article-title>. <source>J. Cell Mol. Med.</source> <volume>25</volume> (<issue>16</issue>), <fpage>7973</fpage>&#x2013;<lpage>7979</lpage>. <pub-id pub-id-type="doi">10.1111/jcmm.16726</pub-id>
<pub-id pub-id-type="pmid">34180134</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Austin</surname>
<given-names>M. C.</given-names>
</name>
<name>
<surname>Smith</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Pritchard</surname>
<given-names>C. C.</given-names>
</name>
<name>
<surname>Tait</surname>
<given-names>J. F.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>DNA yield from tissue samples in surgical pathology and minimum tissue requirements for molecular testing</article-title>. <source>Arch. Pathol. Lab. Med.</source> <volume>140</volume> (<issue>2</issue>), <fpage>130</fpage>&#x2013;<lpage>133</lpage>. <pub-id pub-id-type="doi">10.5858/arpa.2015-0082-OA</pub-id>
<pub-id pub-id-type="pmid">26098132</pub-id>
</mixed-citation>
</ref>
<ref id="B3">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bagger</surname>
<given-names>F. O.</given-names>
</name>
<name>
<surname>Borgwardt</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Jespersen</surname>
<given-names>A. S.</given-names>
</name>
<name>
<surname>Hansen</surname>
<given-names>A. R.</given-names>
</name>
<name>
<surname>Bertelsen</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Kodama</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2024</year>). <article-title>Whole genome sequencing in clinical practice</article-title>. <source>BMC Med. Genomics</source> <volume>17</volume> (<issue>1</issue>), <fpage>39</fpage>. <pub-id pub-id-type="doi">10.1186/s12920-024-01795-w</pub-id>
<pub-id pub-id-type="pmid">38287327</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baloglu</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Haholu</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Kucukodaci</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Yilmaz</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Yildirim</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Baloglu</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>The effects of tissue fixation alternatives on DNA content: A study on normal colon tissue</article-title>. <source>Appl. Immunohistochem. Mol. Morphol.</source> <volume>16</volume> (<issue>5</issue>), <fpage>485</fpage>&#x2013;<lpage>492</lpage>. <pub-id pub-id-type="doi">10.1097/PAI.0b013e31815dffa6</pub-id>
<pub-id pub-id-type="pmid">18594471</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ban</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Chae</surname>
<given-names>D. K.</given-names>
</name>
<name>
<surname>Song</surname>
<given-names>E. J.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Enhanced extraction efficiency of miRNA from cells by addition of triton X-100</article-title>. <source>Anal. Bioanal. Chem.</source> <volume>405</volume> (<issue>23</issue>), <fpage>7535</fpage>&#x2013;<lpage>7539</lpage>. <pub-id pub-id-type="doi">10.1007/s00216-013-7170-0</pub-id>
<pub-id pub-id-type="pmid">23842901</pub-id>
</mixed-citation>
</ref>
<ref id="B6">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Qiang</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Jin</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>F.</given-names>
</name>
<etal/>
</person-group> (<year>2025</year>). <article-title>The novel thioredoxin reductase inhibitor butaselen suppresses lung cancer by inducing oxidative stress</article-title>. <source>Redox Rep.</source> <volume>30</volume> (<issue>1</issue>), <fpage>2588086</fpage>. <pub-id pub-id-type="doi">10.1080/13510002.2025.2588086</pub-id>
<pub-id pub-id-type="pmid">41292488</pub-id>
</mixed-citation>
</ref>
<ref id="B7">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dumenil</surname>
<given-names>T. D.</given-names>
</name>
<name>
<surname>Wockner</surname>
<given-names>L. F.</given-names>
</name>
<name>
<surname>Bettington</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>McKeone</surname>
<given-names>D. M.</given-names>
</name>
<name>
<surname>Klein</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Bowdler</surname>
<given-names>L. M.</given-names>
</name>
<etal/>
</person-group> (<year>2014</year>). <article-title>Genome&#x2010;wide DNA methylation analysis of formalin&#x2010;fixed paraffin embedded colorectal cancer tissue</article-title>. <source>Genes, Chromosomes Cancer</source> <volume>53</volume> (<issue>7</issue>), <fpage>537</fpage>&#x2013;<lpage>548</lpage>. <pub-id pub-id-type="doi">10.1002/gcc.22164</pub-id>
<pub-id pub-id-type="pmid">24677610</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Eldjarn</surname>
<given-names>G. H.</given-names>
</name>
<name>
<surname>Ferkingstad</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Lund</surname>
<given-names>S. H.</given-names>
</name>
<name>
<surname>Helgason</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Magnusson</surname>
<given-names>O. T.</given-names>
</name>
<name>
<surname>Gunnarsdottir</surname>
<given-names>K.</given-names>
</name>
<etal/>
</person-group> (<year>2023</year>). <article-title>Large-scale plasma proteomics comparisons through genetics and disease associations</article-title>. <source>Nature</source> <volume>622</volume> (<issue>7982</issue>), <fpage>348</fpage>&#x2013;<lpage>358</lpage>. <pub-id pub-id-type="doi">10.1038/s41586-023-06563-x</pub-id>
<pub-id pub-id-type="pmid">37794188</pub-id>
</mixed-citation>
</ref>
<ref id="B9">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hofstetter</surname>
<given-names>J. R.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Mayeda</surname>
<given-names>A. R.</given-names>
</name>
<name>
<surname>Guscar</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Nurnberger</surname>
<given-names>J. I.</given-names>
</name>
<name>
<surname>Lahiri</surname>
<given-names>D. K.</given-names>
</name>
</person-group> (<year>1997</year>). <article-title>Genomic DNA from mice: a comparison of recovery methods and tissue sources</article-title>. <source>Biochem. Mol. Med.</source> <volume>62</volume>, <fpage>197</fpage>&#x2013;<lpage>202</lpage>. <pub-id pub-id-type="doi">10.1006/bmme.1997.2637</pub-id>
<pub-id pub-id-type="pmid">9441873</pub-id>
</mixed-citation>
</ref>
<ref id="B10">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kalia</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Biomarkers for personalized oncology: recent advances and future challenges</article-title>. <source>Metabolism</source> <volume>64</volume> (<issue>3 Suppl. 1</issue>), <fpage>S16</fpage>&#x2013;<lpage>S21</lpage>. <pub-id pub-id-type="doi">10.1016/j.metabol.2014.10.027</pub-id>
<pub-id pub-id-type="pmid">25468140</pub-id>
</mixed-citation>
</ref>
<ref id="B11">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Marek</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Schuler</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Satue</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Haigl</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Erben</surname>
<given-names>R. G.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>A laser capture microdissection protocol that yields high quality RNA from fresh-frozen mouse bones</article-title>. <source>J. Vis. Exp.</source> <volume>151</volume>. <pub-id pub-id-type="doi">10.3791/60197</pub-id>
<pub-id pub-id-type="pmid">31566615</pub-id>
</mixed-citation>
</ref>
<ref id="B12">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Michaud</surname>
<given-names>S. A.</given-names>
</name>
<name>
<surname>Sinclair</surname>
<given-names>N. J.</given-names>
</name>
<name>
<surname>Petrosova</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Palmer</surname>
<given-names>A. L.</given-names>
</name>
<name>
<surname>Pistawka</surname>
<given-names>A. J.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>S.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Molecular phenotyping of laboratory mouse strains using 500 multiple reaction monitoring mass spectrometry plasma assays</article-title>. <source>Commun. Biol.</source> <volume>1</volume>, <fpage>78</fpage>. <pub-id pub-id-type="doi">10.1038/s42003-018-0087-6</pub-id>
<pub-id pub-id-type="pmid">30271959</pub-id>
</mixed-citation>
</ref>
<ref id="B13">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Okojie</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>O&#x27;Neal</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Burr</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Worley</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Packer</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Anderson</surname>
<given-names>D.</given-names>
</name>
<etal/>
</person-group> (<year>2024</year>). <article-title>DNA quantity and quality comparisons between cryopreserved and FFPE tumors from matched pan-cancer samples</article-title>. <source>Curr. Oncol.</source> <volume>31</volume> (<issue>5</issue>), <fpage>2441</fpage>&#x2013;<lpage>2452</lpage>. <pub-id pub-id-type="doi">10.3390/curroncol31050183</pub-id>
<pub-id pub-id-type="pmid">38785464</pub-id>
</mixed-citation>
</ref>
<ref id="B14">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pearce</surname>
<given-names>D. L.</given-names>
</name>
<name>
<surname>Edson</surname>
<given-names>J. E.</given-names>
</name>
<name>
<surname>Jennelle</surname>
<given-names>C. S.</given-names>
</name>
<name>
<surname>Walter</surname>
<given-names>W. D.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Evaluation of DNA yield from various tissue and sampling sources for use in single nucleotide polymorphism panels</article-title>. <source>Sci. Rep.</source> <volume>14</volume> (<issue>1</issue>), <fpage>11340</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-024-56128-9</pub-id>
<pub-id pub-id-type="pmid">38760358</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qian</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Geng</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Yin</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Meng-meng</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Shao-lan</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Jiang</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Significance of D260/D230 ratio of NanoDrop detection in quality assay of DNA in genome wide association study (in Chinese with English abstract)</article-title>. <source>Acad. J. Second Mil. Med. Univ.</source> <volume>38</volume> (<issue>11</issue>), <fpage>1444</fpage>&#x2013;<lpage>1448</lpage>. <pub-id pub-id-type="doi">10.16781/j.0258/879x.2017.11.1444</pub-id>
</mixed-citation>
</ref>
<ref id="B16">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ross</surname>
<given-names>J. S.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Cancer biomarkers, companion diagnostics and personalized oncology</article-title>. <source>Biomark. Med.</source> <volume>5</volume> (<issue>3</issue>), <fpage>277</fpage>&#x2013;<lpage>279</lpage>. <pub-id pub-id-type="doi">10.2217/bmm.11.29</pub-id>
<pub-id pub-id-type="pmid">21657836</pub-id>
</mixed-citation>
</ref>
<ref id="B17">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Siuta</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Dobosz</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Kawecki</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Dobosz</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>DNA content of various fluids and tissues of the human body</article-title>. <source>Genes (Basel)</source> <volume>15</volume> (<issue>1</issue>), <fpage>17</fpage>. <pub-id pub-id-type="doi">10.3390/genes15010017</pub-id>
<pub-id pub-id-type="pmid">38275599</pub-id>
</mixed-citation>
</ref>
<ref id="B18">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Smail</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Montgomery</surname>
<given-names>S. B.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>RNA sequencing in disease diagnosis</article-title>. <source>Annu. Rev. Genomics Hum. Genet.</source> <volume>25</volume> (<issue>1</issue>), <fpage>353</fpage>&#x2013;<lpage>367</lpage>. <pub-id pub-id-type="doi">10.1146/annurev-genom-021623-121812</pub-id>
<pub-id pub-id-type="pmid">38360541</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stroh</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Lynch</surname>
<given-names>C. E.</given-names>
</name>
<name>
<surname>Lester</surname>
<given-names>B. E.</given-names>
</name>
<name>
<surname>Minchev</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Chambers</surname>
<given-names>T. L.</given-names>
</name>
<name>
<surname>Montenegro</surname>
<given-names>C. F.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Human adipose and skeletal muscle tissue DNA, RNA, and protein content</article-title>. <source>J. Appl. Physiol. (1985)</source> <volume>131</volume> (<issue>4</issue>), <fpage>1370</fpage>&#x2013;<lpage>1379</lpage>. <pub-id pub-id-type="doi">10.1152/japplphysiol.00343.2021</pub-id>
<pub-id pub-id-type="pmid">34435508</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sultan</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Amstislavskiy</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Risch</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Schuette</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>D&#xf6;kel</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Ralser</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2014</year>). <article-title>Influence of RNA extraction methods and library selection schemes on RNA-seq data</article-title>. <source>BMC Genomics</source> <volume>15</volume> (<issue>1</issue>), <fpage>675</fpage>. <pub-id pub-id-type="doi">10.1186/1471-2164-15-675</pub-id>
<pub-id pub-id-type="pmid">25113896</pub-id>
</mixed-citation>
</ref>
<ref id="B21">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Want</surname>
<given-names>E. J.</given-names>
</name>
<name>
<surname>Masson</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Michopoulos</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Wilson</surname>
<given-names>I. D.</given-names>
</name>
<name>
<surname>Theodoridis</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Plumb</surname>
<given-names>R. S.</given-names>
</name>
<etal/>
</person-group> (<year>2012</year>). <article-title>Global metabolic profiling of animal and human tissues <italic>via</italic> UPLC-MS</article-title>. <source>Nat. Protoc.</source> <volume>8</volume> (<issue>1</issue>), <fpage>17</fpage>&#x2013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.1038/nprot.2012.135</pub-id>
<pub-id pub-id-type="pmid">23222455</pub-id>
</mixed-citation>
</ref>
<ref id="B22">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yi</surname>
<given-names>Q. Q.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Shi</surname>
<given-names>J. F.</given-names>
</name>
<name>
<surname>Zeng</surname>
<given-names>N. Y.</given-names>
</name>
<name>
<surname>Liang</surname>
<given-names>D. Y.</given-names>
</name>
<name>
<surname>Sha</surname>
<given-names>S.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Effect of preservation time of formalin-fixed paraffin-embedded tissues on extractable DNA and RNA quantity</article-title>. <source>Retrosp. Clin. Res. Rep.</source> <volume>48</volume> (<issue>6</issue>), <fpage>1</fpage>&#x2013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.1177/0300060520931259</pub-id>
<pub-id pub-id-type="pmid">32567435</pub-id>
</mixed-citation>
</ref>
<ref id="B23">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yu</surname>
<given-names>Y. Y.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>Z. G.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Significance of biological resource collection and tumor tissue bank creation</article-title>. <source>World J. Gastrointest. Oncol.</source> <volume>2</volume> (<issue>1</issue>), <fpage>5</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.4251/wjgo.v2.i1.5</pub-id>
<pub-id pub-id-type="pmid">21160810</pub-id>
</mixed-citation>
</ref>
<ref id="B24">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zeng</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Tang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Kang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Bai</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Optimizing total RNA extraction method for human and mice samples</article-title>. <source>Peerj</source> <volume>12</volume>, <fpage>e18072</fpage>. <pub-id pub-id-type="doi">10.7717/peerj.18072</pub-id>
<pub-id pub-id-type="pmid">39346072</pub-id>
</mixed-citation>
</ref>
<ref id="B25">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname>
<given-names>J. H.</given-names>
</name>
<name>
<surname>Stacey</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Eriksson</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Macdonald-Dunlop</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Hedman</surname>
<given-names>A. K.</given-names>
</name>
<name>
<surname>Kalnapenkis</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2023</year>). <article-title>Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets</article-title>. <source>Nat. Immunol.</source> <volume>24</volume> (<issue>9</issue>), <fpage>1540</fpage>&#x2013;<lpage>1551</lpage>. <pub-id pub-id-type="doi">10.1038/s41590-023-01588-w</pub-id>
<pub-id pub-id-type="pmid">37563310</pub-id>
</mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/200983/overview">Witold Norbert Nowak</ext-link>, University of Silesia, Poland</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2435877/overview">Alicja J&#xf3;zkowicz</ext-link>, Jagiellonian University, Poland</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3332614/overview">Ruwini D Rajapaksha</ext-link>, Lovelace Respiratory Research Institute, United States</p>
</fn>
</fn-group>
</back>
</article>