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Comprehensive proteomics and functional annotation of mouse brown adipose tissue
Knowledge about the mouse brown adipose tissue (BAT) proteome can provide a deeper understanding of the function of mammalian BAT. Herein, a comprehensive analysis of interscapular BAT from C57BL/6J female mice was conducted by 2DLC and high-resolution mass spectrometry to construct a comprehensive...
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Published in: | PloS one 2020-05, Vol.15 (5), p.e0232084-e0232084 |
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creator | Li, Jing Li, Juan Zhao, Wei-Gang Sun, Hai-Dan Guo, Zheng-Guang Liu, Xiao-Yan Tang, Xiao-Yue She, Zhu-Fang Yuan, Tao Liu, Shuai-Nan Liu, Quan Fu, Yong Sun, Wei |
description | Knowledge about the mouse brown adipose tissue (BAT) proteome can provide a deeper understanding of the function of mammalian BAT. Herein, a comprehensive analysis of interscapular BAT from C57BL/6J female mice was conducted by 2DLC and high-resolution mass spectrometry to construct a comprehensive proteome dataset of mouse BAT proteins. A total of 4949 nonredundant proteins were identified, and 4495 were quantified using the iBAQ method. According to the iBAQ values, the BAT proteome was divided into high-, middle- and low-abundance proteins. The functions of the high-abundance proteins were mainly related to glucose and fatty acid oxidation to produce heat for thermoregulation, while the functions of the middle- and low-abundance proteins were mainly related to protein synthesis and apoptosis, respectively. Additionally, 497 proteins were predicted to have signal peptides using SignalP4 software, and 75 were confirmed in previous studies. This study, for the first time, comprehensively profiled and functionally annotated the BAT proteome. This study will be helpful for future studies focused on biomarker identification and BAT molecular mechanisms. |
doi_str_mv | 10.1371/journal.pone.0232084 |
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Herein, a comprehensive analysis of interscapular BAT from C57BL/6J female mice was conducted by 2DLC and high-resolution mass spectrometry to construct a comprehensive proteome dataset of mouse BAT proteins. A total of 4949 nonredundant proteins were identified, and 4495 were quantified using the iBAQ method. According to the iBAQ values, the BAT proteome was divided into high-, middle- and low-abundance proteins. The functions of the high-abundance proteins were mainly related to glucose and fatty acid oxidation to produce heat for thermoregulation, while the functions of the middle- and low-abundance proteins were mainly related to protein synthesis and apoptosis, respectively. Additionally, 497 proteins were predicted to have signal peptides using SignalP4 software, and 75 were confirmed in previous studies. This study, for the first time, comprehensively profiled and functionally annotated the BAT proteome. This study will be helpful for future studies focused on biomarker identification and BAT molecular mechanisms.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0232084</identifier><identifier>PMID: 32374735</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adenosine ; Adipocytes ; Adipose tissue ; Adipose tissue (brown) ; Adipose Tissue, Brown - chemistry ; Adipose Tissue, Brown - metabolism ; Animal tissues ; Animals ; Annotations ; Apoptosis ; Biology and Life Sciences ; Biomarkers ; Body fat ; Chromatography ; Chromatography, High Pressure Liquid ; Chromatography, Liquid ; Cytokines ; Databases, Protein ; Diabetes ; Endocrinology ; Fatty acids ; Female ; Future predictions ; Glucose ; Hospitals ; House mouse ; Kinases ; Laboratories ; Mammals ; Mass spectrometry ; Mass spectroscopy ; Medical schools ; Medicine ; Medicine and Health Sciences ; Methods ; Mice ; Mice, Inbred C57BL ; Molecular modelling ; Molecular Sequence Annotation - methods ; Oxidation ; Oxidation-reduction reactions ; Peptides ; Phosphorylation ; Physiological aspects ; Protein biosynthesis ; Protein synthesis ; Proteins ; Proteome - analysis ; Proteome - metabolism ; Proteomes ; Proteomics ; Proteomics - methods ; R&D ; Research & development ; Scientific imaging ; Signal peptides ; Spectroscopy ; Studies ; Tandem Mass Spectrometry ; Thermogenesis ; Thermoregulation ; Time ; Type 2 diabetes</subject><ispartof>PloS one, 2020-05, Vol.15 (5), p.e0232084-e0232084</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Li et al 2020 Li et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-3334e26ae53f7548ad8678ce48f5f88be58e2973b5d997136a5c950e8ff9093f3</citedby><cites>FETCH-LOGICAL-c692t-3334e26ae53f7548ad8678ce48f5f88be58e2973b5d997136a5c950e8ff9093f3</cites><orcidid>0000-0003-1120-6832</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2399252433/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2399252433?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32374735$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Peterson, Jonathan M</contributor><creatorcontrib>Li, Jing</creatorcontrib><creatorcontrib>Li, Juan</creatorcontrib><creatorcontrib>Zhao, Wei-Gang</creatorcontrib><creatorcontrib>Sun, Hai-Dan</creatorcontrib><creatorcontrib>Guo, Zheng-Guang</creatorcontrib><creatorcontrib>Liu, Xiao-Yan</creatorcontrib><creatorcontrib>Tang, Xiao-Yue</creatorcontrib><creatorcontrib>She, Zhu-Fang</creatorcontrib><creatorcontrib>Yuan, Tao</creatorcontrib><creatorcontrib>Liu, Shuai-Nan</creatorcontrib><creatorcontrib>Liu, Quan</creatorcontrib><creatorcontrib>Fu, Yong</creatorcontrib><creatorcontrib>Sun, Wei</creatorcontrib><title>Comprehensive proteomics and functional annotation of mouse brown adipose tissue</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Knowledge about the mouse brown adipose tissue (BAT) proteome can provide a deeper understanding of the function of mammalian BAT. Herein, a comprehensive analysis of interscapular BAT from C57BL/6J female mice was conducted by 2DLC and high-resolution mass spectrometry to construct a comprehensive proteome dataset of mouse BAT proteins. A total of 4949 nonredundant proteins were identified, and 4495 were quantified using the iBAQ method. According to the iBAQ values, the BAT proteome was divided into high-, middle- and low-abundance proteins. The functions of the high-abundance proteins were mainly related to glucose and fatty acid oxidation to produce heat for thermoregulation, while the functions of the middle- and low-abundance proteins were mainly related to protein synthesis and apoptosis, respectively. Additionally, 497 proteins were predicted to have signal peptides using SignalP4 software, and 75 were confirmed in previous studies. This study, for the first time, comprehensively profiled and functionally annotated the BAT proteome. This study will be helpful for future studies focused on biomarker identification and BAT molecular mechanisms.</description><subject>Adenosine</subject><subject>Adipocytes</subject><subject>Adipose tissue</subject><subject>Adipose tissue (brown)</subject><subject>Adipose Tissue, Brown - chemistry</subject><subject>Adipose Tissue, Brown - metabolism</subject><subject>Animal tissues</subject><subject>Animals</subject><subject>Annotations</subject><subject>Apoptosis</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Body fat</subject><subject>Chromatography</subject><subject>Chromatography, High Pressure Liquid</subject><subject>Chromatography, Liquid</subject><subject>Cytokines</subject><subject>Databases, Protein</subject><subject>Diabetes</subject><subject>Endocrinology</subject><subject>Fatty acids</subject><subject>Female</subject><subject>Future predictions</subject><subject>Glucose</subject><subject>Hospitals</subject><subject>House mouse</subject><subject>Kinases</subject><subject>Laboratories</subject><subject>Mammals</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Medical schools</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Mice</subject><subject>Mice, Inbred C57BL</subject><subject>Molecular modelling</subject><subject>Molecular Sequence Annotation - methods</subject><subject>Oxidation</subject><subject>Oxidation-reduction reactions</subject><subject>Peptides</subject><subject>Phosphorylation</subject><subject>Physiological aspects</subject><subject>Protein biosynthesis</subject><subject>Protein synthesis</subject><subject>Proteins</subject><subject>Proteome - analysis</subject><subject>Proteome - metabolism</subject><subject>Proteomes</subject><subject>Proteomics</subject><subject>Proteomics - methods</subject><subject>R&D</subject><subject>Research & development</subject><subject>Scientific imaging</subject><subject>Signal peptides</subject><subject>Spectroscopy</subject><subject>Studies</subject><subject>Tandem Mass Spectrometry</subject><subject>Thermogenesis</subject><subject>Thermoregulation</subject><subject>Time</subject><subject>Type 2 diabetes</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkk1r3DAQhk1paZJt_0FpDYXSHnYrS5YsXQph6cdCIKVfVyHbo10ttuVIcpr--8pZJ6xLDkUHaeRn3rFm3iR5kaFVRors_d4OrlPNqrcdrBAmGPH8UXKaCYKXDCPy-Oh8kpx5v0eIEs7Y0-SEYFLkBaGnyde1bXsHO-i8uYa0dzaAbU3lU9XVqR66Khgby8Sws0GNQWp12trBQ1o6-7tLVW16G6NgvB_gWfJEq8bD82lfJD8_ffyx_rK8uPy8WZ9fLCsmcFgSQnLATAEluqA5VzVnBa8g55pqzkugHLAoSElrIYqMMEUrQRFwrQUSRJNF8uqg2zfWy6kZXmIiBKY4j_qLZHMgaqv2snemVe6PtMrI2wvrtlK5YKoGJKas5AXLS56jnIIoc1SPe1ZBVlBOo9aHqdpQtlBX0AWnmpno_EtndnJrr2WBEWZxOovk7STg7NUAPsjW-AqaRnUQe3n735zwjI21Xv-DPvy6idqq-ADTaRvrVqOoPGcYc0YzxCO1eoCKq4Y45OgcbeL9LOHdLCEyAW7CVg3ey833b__PXv6as2-O2B2oJuy8bYbRUH4O5gewctZ7B_q-yRmSo_HvuiFH48vJ-DHt5fGA7pPunE7-Aie4_OQ</recordid><startdate>20200506</startdate><enddate>20200506</enddate><creator>Li, Jing</creator><creator>Li, Juan</creator><creator>Zhao, Wei-Gang</creator><creator>Sun, Hai-Dan</creator><creator>Guo, Zheng-Guang</creator><creator>Liu, Xiao-Yan</creator><creator>Tang, Xiao-Yue</creator><creator>She, Zhu-Fang</creator><creator>Yuan, Tao</creator><creator>Liu, Shuai-Nan</creator><creator>Liu, Quan</creator><creator>Fu, Yong</creator><creator>Sun, Wei</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-1120-6832</orcidid></search><sort><creationdate>20200506</creationdate><title>Comprehensive proteomics and functional annotation of mouse brown adipose tissue</title><author>Li, Jing ; Li, Juan ; Zhao, Wei-Gang ; Sun, Hai-Dan ; Guo, Zheng-Guang ; Liu, Xiao-Yan ; Tang, Xiao-Yue ; She, Zhu-Fang ; Yuan, Tao ; Liu, Shuai-Nan ; Liu, Quan ; Fu, Yong ; Sun, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-3334e26ae53f7548ad8678ce48f5f88be58e2973b5d997136a5c950e8ff9093f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adenosine</topic><topic>Adipocytes</topic><topic>Adipose tissue</topic><topic>Adipose tissue (brown)</topic><topic>Adipose Tissue, Brown - chemistry</topic><topic>Adipose Tissue, Brown - metabolism</topic><topic>Animal tissues</topic><topic>Animals</topic><topic>Annotations</topic><topic>Apoptosis</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Body fat</topic><topic>Chromatography</topic><topic>Chromatography, High Pressure Liquid</topic><topic>Chromatography, Liquid</topic><topic>Cytokines</topic><topic>Databases, Protein</topic><topic>Diabetes</topic><topic>Endocrinology</topic><topic>Fatty acids</topic><topic>Female</topic><topic>Future predictions</topic><topic>Glucose</topic><topic>Hospitals</topic><topic>House mouse</topic><topic>Kinases</topic><topic>Laboratories</topic><topic>Mammals</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Medical schools</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Mice</topic><topic>Mice, Inbred C57BL</topic><topic>Molecular modelling</topic><topic>Molecular Sequence Annotation - 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Herein, a comprehensive analysis of interscapular BAT from C57BL/6J female mice was conducted by 2DLC and high-resolution mass spectrometry to construct a comprehensive proteome dataset of mouse BAT proteins. A total of 4949 nonredundant proteins were identified, and 4495 were quantified using the iBAQ method. According to the iBAQ values, the BAT proteome was divided into high-, middle- and low-abundance proteins. The functions of the high-abundance proteins were mainly related to glucose and fatty acid oxidation to produce heat for thermoregulation, while the functions of the middle- and low-abundance proteins were mainly related to protein synthesis and apoptosis, respectively. Additionally, 497 proteins were predicted to have signal peptides using SignalP4 software, and 75 were confirmed in previous studies. This study, for the first time, comprehensively profiled and functionally annotated the BAT proteome. This study will be helpful for future studies focused on biomarker identification and BAT molecular mechanisms.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32374735</pmid><doi>10.1371/journal.pone.0232084</doi><tpages>e0232084</tpages><orcidid>https://orcid.org/0000-0003-1120-6832</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adenosine Adipocytes Adipose tissue Adipose tissue (brown) Adipose Tissue, Brown - chemistry Adipose Tissue, Brown - metabolism Animal tissues Animals Annotations Apoptosis Biology and Life Sciences Biomarkers Body fat Chromatography Chromatography, High Pressure Liquid Chromatography, Liquid Cytokines Databases, Protein Diabetes Endocrinology Fatty acids Female Future predictions Glucose Hospitals House mouse Kinases Laboratories Mammals Mass spectrometry Mass spectroscopy Medical schools Medicine Medicine and Health Sciences Methods Mice Mice, Inbred C57BL Molecular modelling Molecular Sequence Annotation - methods Oxidation Oxidation-reduction reactions Peptides Phosphorylation Physiological aspects Protein biosynthesis Protein synthesis Proteins Proteome - analysis Proteome - metabolism Proteomes Proteomics Proteomics - methods R&D Research & development Scientific imaging Signal peptides Spectroscopy Studies Tandem Mass Spectrometry Thermogenesis Thermoregulation Time Type 2 diabetes |
title | Comprehensive proteomics and functional annotation of mouse brown adipose tissue |
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