Systematic Comparative Evaluation of Methods for Investigating the TCRβ Repertoire
High-throughput sequencing has recently been applied to profile the high diversity of antibodyome/B cell receptors (BCRs) and T cell receptors (TCRs) among immune cells. To date, Multiplex PCR (MPCR) and 5'RACE are predominately used to enrich rearranged BCRs and TCRs. Both approaches have adva...
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creator | Liu, Xiao Zhang, Wei Zeng, Xiaojing Zhang, Ruifang Du, Yuanping Hong, Xueyu Cao, Hongzhi Su, Zheng Wang, Changxi Wu, Jinghua Nie, Chao Xu, Xun Kristiansen, Karsten |
description | High-throughput sequencing has recently been applied to profile the high diversity of antibodyome/B cell receptors (BCRs) and T cell receptors (TCRs) among immune cells. To date, Multiplex PCR (MPCR) and 5'RACE are predominately used to enrich rearranged BCRs and TCRs. Both approaches have advantages and disadvantages; however, a systematic evaluation and direct comparison of them would benefit researchers in the selection of the most suitable method. In this study, we used both pooled control plasmids and spiked-in cells to benchmark the MPCR bias. RNA from three healthy donors was subsequently processed with the two methods to perform a comparative evaluation of the TCR β chain sequences. Both approaches demonstrated high reproducibility (R2 = 0.9958 and 0.9878, respectively). No differences in gene usage were identified for most V/J genes (>60%), and an average of 52.03% of the CDR3 amino acid sequences overlapped. MPCR exhibited a certain degree of bias, in which the usage of several genes deviated from 5'RACE, and some V-J pairings were lost. In contrast, there was a smaller rate of effective data from 5'RACE (11.25% less compared with MPCR). Nevertheless, the methodological variability was smaller compared with the biological variability. Through direct comparison, these findings provide novel insights into the two experimental methods, which will prove to be valuable in immune repertoire research and its interpretation. |
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To date, Multiplex PCR (MPCR) and 5'RACE are predominately used to enrich rearranged BCRs and TCRs. Both approaches have advantages and disadvantages; however, a systematic evaluation and direct comparison of them would benefit researchers in the selection of the most suitable method. In this study, we used both pooled control plasmids and spiked-in cells to benchmark the MPCR bias. RNA from three healthy donors was subsequently processed with the two methods to perform a comparative evaluation of the TCR β chain sequences. Both approaches demonstrated high reproducibility (R2 = 0.9958 and 0.9878, respectively). No differences in gene usage were identified for most V/J genes (>60%), and an average of 52.03% of the CDR3 amino acid sequences overlapped. MPCR exhibited a certain degree of bias, in which the usage of several genes deviated from 5'RACE, and some V-J pairings were lost. In contrast, there was a smaller rate of effective data from 5'RACE (11.25% less compared with MPCR). Nevertheless, the methodological variability was smaller compared with the biological variability. Through direct comparison, these findings provide novel insights into the two experimental methods, which will prove to be valuable in immune repertoire research and its interpretation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0152464</identifier><identifier>PMID: 27019362</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Amino acids ; Bias ; Biology ; Biology and Life Sciences ; Cloning ; Complementarity Determining Regions - genetics ; Complementarity-determining region 3 ; Deoxyribonucleic acid ; DNA ; Evaluation ; Experimental methods ; Female ; Genes ; High-Throughput Nucleotide Sequencing ; Humans ; Immune system ; Immunology ; Laboratories ; Lymphocytes ; Lymphocytes B ; Lymphocytes T ; Male ; Medicine and Health Sciences ; Methods ; Multiculturalism & pluralism ; Multiplex Polymerase Chain Reaction ; Multiplexing ; Mutation ; Next-generation sequencing ; Nucleic Acid Amplification Techniques ; Plasmids ; Race ; Receptors ; Receptors, Antigen, T-Cell, alpha-beta - genetics ; Receptors, Antigen, T-Cell, alpha-beta - metabolism ; Reproducibility ; Reproducibility of Results ; Research and Analysis Methods ; Ribonucleic acid ; RNA ; RNA - chemistry ; RNA - isolation & purification ; RNA - metabolism ; Sequence Analysis, RNA ; T cell receptors ; T-cell receptor ; Variability</subject><ispartof>PloS one, 2016-03, Vol.11 (3), p.e0152464-e0152464</ispartof><rights>2016 Liu 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>2016 Liu et al 2016 Liu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4414-155315b17b45a9d6b3eb6ccb0c15b3ce2781dbb1b9aed435a41d3264157f48833</citedby><cites>FETCH-LOGICAL-c4414-155315b17b45a9d6b3eb6ccb0c15b3ce2781dbb1b9aed435a41d3264157f48833</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4809601/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4809601/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2104,2930,23873,27931,27932,53798,53800</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27019362$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chang, Yung-Fu</contributor><creatorcontrib>Liu, Xiao</creatorcontrib><creatorcontrib>Zhang, Wei</creatorcontrib><creatorcontrib>Zeng, Xiaojing</creatorcontrib><creatorcontrib>Zhang, Ruifang</creatorcontrib><creatorcontrib>Du, Yuanping</creatorcontrib><creatorcontrib>Hong, Xueyu</creatorcontrib><creatorcontrib>Cao, Hongzhi</creatorcontrib><creatorcontrib>Su, Zheng</creatorcontrib><creatorcontrib>Wang, Changxi</creatorcontrib><creatorcontrib>Wu, Jinghua</creatorcontrib><creatorcontrib>Nie, Chao</creatorcontrib><creatorcontrib>Xu, Xun</creatorcontrib><creatorcontrib>Kristiansen, Karsten</creatorcontrib><title>Systematic Comparative Evaluation of Methods for Investigating the TCRβ Repertoire</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>High-throughput sequencing has recently been applied to profile the high diversity of antibodyome/B cell receptors (BCRs) and T cell receptors (TCRs) among immune cells. To date, Multiplex PCR (MPCR) and 5'RACE are predominately used to enrich rearranged BCRs and TCRs. Both approaches have advantages and disadvantages; however, a systematic evaluation and direct comparison of them would benefit researchers in the selection of the most suitable method. In this study, we used both pooled control plasmids and spiked-in cells to benchmark the MPCR bias. RNA from three healthy donors was subsequently processed with the two methods to perform a comparative evaluation of the TCR β chain sequences. Both approaches demonstrated high reproducibility (R2 = 0.9958 and 0.9878, respectively). No differences in gene usage were identified for most V/J genes (>60%), and an average of 52.03% of the CDR3 amino acid sequences overlapped. MPCR exhibited a certain degree of bias, in which the usage of several genes deviated from 5'RACE, and some V-J pairings were lost. In contrast, there was a smaller rate of effective data from 5'RACE (11.25% less compared with MPCR). Nevertheless, the methodological variability was smaller compared with the biological variability. Through direct comparison, these findings provide novel insights into the two experimental methods, which will prove to be valuable in immune repertoire research and its interpretation.</description><subject>Adult</subject><subject>Amino acids</subject><subject>Bias</subject><subject>Biology</subject><subject>Biology and Life Sciences</subject><subject>Cloning</subject><subject>Complementarity Determining Regions - genetics</subject><subject>Complementarity-determining region 3</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Evaluation</subject><subject>Experimental methods</subject><subject>Female</subject><subject>Genes</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Humans</subject><subject>Immune system</subject><subject>Immunology</subject><subject>Laboratories</subject><subject>Lymphocytes</subject><subject>Lymphocytes B</subject><subject>Lymphocytes T</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Multiculturalism & pluralism</subject><subject>Multiplex Polymerase Chain Reaction</subject><subject>Multiplexing</subject><subject>Mutation</subject><subject>Next-generation sequencing</subject><subject>Nucleic Acid Amplification Techniques</subject><subject>Plasmids</subject><subject>Race</subject><subject>Receptors</subject><subject>Receptors, Antigen, T-Cell, alpha-beta - genetics</subject><subject>Receptors, Antigen, T-Cell, alpha-beta - metabolism</subject><subject>Reproducibility</subject><subject>Reproducibility of Results</subject><subject>Research and Analysis Methods</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA - chemistry</subject><subject>RNA - isolation & purification</subject><subject>RNA - metabolism</subject><subject>Sequence Analysis, RNA</subject><subject>T cell receptors</subject><subject>T-cell receptor</subject><subject>Variability</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptUttu1DAQjRCIlsIfIIjECy-7-O7kBQmtCqzUqlJbnq2xM9nNKomDnazU3-qH9Jtw2bRqES_2aM6ZMxedLHtPyZJyTb_s_BR6aJeD73FJqGRCiRfZMS05WyhG-Msn8VH2JsYdIZIXSr3OjpgmCVPsOLu6uokjdjA2Ll_5boCQwj3mp3topxT6Pvd1fo7j1lcxr33I1_0e49hsEthv8nGL-fXq8u42v8QBw-ibgG-zVzW0Ed_N_0n26_vp9ern4uzix3r17WzhhKBiQaXkVFqqrZBQVspytMo5S1zKcodMF7SyltoSsBJcgqAVZ0pQqWtRFJyfZB8PukPro5nvEQ0tC8UUTU9irA-MysPODKHpINwYD435m_BhYyCk1Vs0BaIAWhArnRMAZYm2YpVkCDLNUUPS-jp3m2yHlcN-DNA-E32O9M3WbPzeiIKUitAk8HkWCP73lG5ouiY6bFvo0U9pbq010SUrdKJ--of6_-3EgeWCjzFg_TgMJebeIw9V5t4jZvZIKvvwdJHHogdT8D_Jm7vO</recordid><startdate>20160301</startdate><enddate>20160301</enddate><creator>Liu, Xiao</creator><creator>Zhang, Wei</creator><creator>Zeng, Xiaojing</creator><creator>Zhang, Ruifang</creator><creator>Du, Yuanping</creator><creator>Hong, Xueyu</creator><creator>Cao, Hongzhi</creator><creator>Su, Zheng</creator><creator>Wang, Changxi</creator><creator>Wu, Jinghua</creator><creator>Nie, Chao</creator><creator>Xu, Xun</creator><creator>Kristiansen, Karsten</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>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>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160301</creationdate><title>Systematic Comparative Evaluation of Methods for Investigating the TCRβ Repertoire</title><author>Liu, Xiao ; Zhang, Wei ; Zeng, Xiaojing ; Zhang, Ruifang ; Du, Yuanping ; Hong, Xueyu ; Cao, Hongzhi ; Su, Zheng ; Wang, Changxi ; Wu, Jinghua ; Nie, Chao ; Xu, Xun ; Kristiansen, Karsten</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4414-155315b17b45a9d6b3eb6ccb0c15b3ce2781dbb1b9aed435a41d3264157f48833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Amino acids</topic><topic>Bias</topic><topic>Biology</topic><topic>Biology and Life Sciences</topic><topic>Cloning</topic><topic>Complementarity Determining Regions - genetics</topic><topic>Complementarity-determining region 3</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Evaluation</topic><topic>Experimental methods</topic><topic>Female</topic><topic>Genes</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Humans</topic><topic>Immune system</topic><topic>Immunology</topic><topic>Laboratories</topic><topic>Lymphocytes</topic><topic>Lymphocytes B</topic><topic>Lymphocytes T</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Multiculturalism & pluralism</topic><topic>Multiplex Polymerase Chain Reaction</topic><topic>Multiplexing</topic><topic>Mutation</topic><topic>Next-generation sequencing</topic><topic>Nucleic Acid Amplification Techniques</topic><topic>Plasmids</topic><topic>Race</topic><topic>Receptors</topic><topic>Receptors, Antigen, T-Cell, alpha-beta - genetics</topic><topic>Receptors, Antigen, T-Cell, alpha-beta - metabolism</topic><topic>Reproducibility</topic><topic>Reproducibility of Results</topic><topic>Research and Analysis Methods</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA - chemistry</topic><topic>RNA - isolation & purification</topic><topic>RNA - metabolism</topic><topic>Sequence Analysis, RNA</topic><topic>T cell receptors</topic><topic>T-cell receptor</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Xiao</creatorcontrib><creatorcontrib>Zhang, Wei</creatorcontrib><creatorcontrib>Zeng, Xiaojing</creatorcontrib><creatorcontrib>Zhang, Ruifang</creatorcontrib><creatorcontrib>Du, Yuanping</creatorcontrib><creatorcontrib>Hong, Xueyu</creatorcontrib><creatorcontrib>Cao, Hongzhi</creatorcontrib><creatorcontrib>Su, Zheng</creatorcontrib><creatorcontrib>Wang, Changxi</creatorcontrib><creatorcontrib>Wu, Jinghua</creatorcontrib><creatorcontrib>Nie, Chao</creatorcontrib><creatorcontrib>Xu, Xun</creatorcontrib><creatorcontrib>Kristiansen, Karsten</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xiao</au><au>Zhang, Wei</au><au>Zeng, Xiaojing</au><au>Zhang, Ruifang</au><au>Du, Yuanping</au><au>Hong, Xueyu</au><au>Cao, Hongzhi</au><au>Su, Zheng</au><au>Wang, Changxi</au><au>Wu, Jinghua</au><au>Nie, Chao</au><au>Xu, Xun</au><au>Kristiansen, Karsten</au><au>Chang, Yung-Fu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Systematic Comparative Evaluation of Methods for Investigating the TCRβ Repertoire</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-03-01</date><risdate>2016</risdate><volume>11</volume><issue>3</issue><spage>e0152464</spage><epage>e0152464</epage><pages>e0152464-e0152464</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>High-throughput sequencing has recently been applied to profile the high diversity of antibodyome/B cell receptors (BCRs) and T cell receptors (TCRs) among immune cells. To date, Multiplex PCR (MPCR) and 5'RACE are predominately used to enrich rearranged BCRs and TCRs. Both approaches have advantages and disadvantages; however, a systematic evaluation and direct comparison of them would benefit researchers in the selection of the most suitable method. In this study, we used both pooled control plasmids and spiked-in cells to benchmark the MPCR bias. RNA from three healthy donors was subsequently processed with the two methods to perform a comparative evaluation of the TCR β chain sequences. Both approaches demonstrated high reproducibility (R2 = 0.9958 and 0.9878, respectively). No differences in gene usage were identified for most V/J genes (>60%), and an average of 52.03% of the CDR3 amino acid sequences overlapped. MPCR exhibited a certain degree of bias, in which the usage of several genes deviated from 5'RACE, and some V-J pairings were lost. In contrast, there was a smaller rate of effective data from 5'RACE (11.25% less compared with MPCR). Nevertheless, the methodological variability was smaller compared with the biological variability. Through direct comparison, these findings provide novel insights into the two experimental methods, which will prove to be valuable in immune repertoire research and its interpretation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27019362</pmid><doi>10.1371/journal.pone.0152464</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Amino acids Bias Biology Biology and Life Sciences Cloning Complementarity Determining Regions - genetics Complementarity-determining region 3 Deoxyribonucleic acid DNA Evaluation Experimental methods Female Genes High-Throughput Nucleotide Sequencing Humans Immune system Immunology Laboratories Lymphocytes Lymphocytes B Lymphocytes T Male Medicine and Health Sciences Methods Multiculturalism & pluralism Multiplex Polymerase Chain Reaction Multiplexing Mutation Next-generation sequencing Nucleic Acid Amplification Techniques Plasmids Race Receptors Receptors, Antigen, T-Cell, alpha-beta - genetics Receptors, Antigen, T-Cell, alpha-beta - metabolism Reproducibility Reproducibility of Results Research and Analysis Methods Ribonucleic acid RNA RNA - chemistry RNA - isolation & purification RNA - metabolism Sequence Analysis, RNA T cell receptors T-cell receptor Variability |
title | Systematic Comparative Evaluation of Methods for Investigating the TCRβ Repertoire |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-04T19%3A54%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Systematic%20Comparative%20Evaluation%20of%20Methods%20for%20Investigating%20the%20TCR%CE%B2%20Repertoire&rft.jtitle=PloS%20one&rft.au=Liu,%20Xiao&rft.date=2016-03-01&rft.volume=11&rft.issue=3&rft.spage=e0152464&rft.epage=e0152464&rft.pages=e0152464-e0152464&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0152464&rft_dat=%3Cproquest_plos_%3E1777079287%3C/proquest_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1986261862&rft_id=info:pmid/27019362&rft_doaj_id=oai_doaj_org_article_8ee4a180b5cc4aa99ebd2d52ea5781fa&rfr_iscdi=true |