{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T17:59:20Z","timestamp":1787507960429,"version":"build-2736575974"},"reference-count":26,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T00:00:00Z","timestamp":1776038400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007606","name":"Aarhus University Hospital","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007605","name":"Aarhus University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007605","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biochemistry and Biophysics Reports"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.bbrep.2026.102592","type":"journal-article","created":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T03:04:49Z","timestamp":1776567889000},"page":"102592","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Immune profiling of T cells: A comparative analysis of single-cell TCR sequencing using 10X Genomics and Parse Biosciences platforms"],"prefix":"10.1016","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4128-7816","authenticated-orcid":false,"given":"Nanna","family":"Kristj\u00e1nsd\u00f3ttir","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kasper","family":"Thorsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1613-9587","authenticated-orcid":false,"given":"Nicolai J.","family":"Birkbak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lars","family":"Dyrskj\u00f8t","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.bbrep.2026.102592_bib1","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1586\/14789450.2016.1111141","article-title":"Immunocapture strategies in translational proteomics","volume":"13","author":"Fredolini","year":"2016","journal-title":"Expert Rev. Proteomics"},{"key":"10.1016\/j.bbrep.2026.102592_bib2","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1038\/s41423-019-0214-4","article-title":"Revolutionizing immunology with single-cell RNA sequencing","volume":"16","author":"Chen","year":"2019","journal-title":"Cell. Mol. Immunol."},{"key":"10.1016\/j.bbrep.2026.102592_bib3","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1146\/annurev-bioeng-070909-105238","article-title":"Microfluidic platforms for single-cell analysis","volume":"12","author":"Zare","year":"2010","journal-title":"Annu. Rev. Biomed. Eng."},{"key":"10.1016\/j.bbrep.2026.102592_bib4","doi-asserted-by":"crossref","first-page":"14049","DOI":"10.1038\/ncomms14049","article-title":"Massively parallel digital transcriptional profiling of single cells","volume":"8","author":"Zheng","year":"2017","journal-title":"Nat. Commun."},{"key":"10.1016\/j.bbrep.2026.102592_bib5","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1016\/j.cell.2015.05.002","article-title":"Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets","volume":"161","author":"Macosko","year":"2015","journal-title":"Cell"},{"key":"10.1016\/j.bbrep.2026.102592_bib6","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1016\/j.cell.2015.04.044","article-title":"Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells","volume":"161","author":"Klein","year":"2015","journal-title":"Cell"},{"key":"10.1016\/j.bbrep.2026.102592_bib7","doi-asserted-by":"crossref","first-page":"e55","DOI":"10.1002\/cpmb.55","article-title":"The use of the fluidigm C1 for RNA expression analyses of single cells","volume":"122","author":"DeLaughter","year":"2018","journal-title":"Curr. Protoc. Mol. Biol."},{"key":"10.1016\/j.bbrep.2026.102592_bib8","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/978-1-0716-2756-3_5","article-title":"Full-length single-cell RNA-sequencing with FLASH-seq","volume":"2584","author":"Hahaut","year":"2023","journal-title":"Methods Mol. Biol."},{"key":"10.1016\/j.bbrep.2026.102592_bib9","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1186\/s13059-016-0938-8","article-title":"CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq","volume":"17","author":"Hashimshony","year":"2016","journal-title":"Genome Biol."},{"key":"10.1016\/j.bbrep.2026.102592_bib10","doi-asserted-by":"crossref","first-page":"776","DOI":"10.1126\/science.1247651","article-title":"Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types","volume":"343","author":"Jaitin","year":"2014","journal-title":"Science"},{"key":"10.1016\/j.bbrep.2026.102592_bib11","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1038\/nbt.2282","article-title":"Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells","volume":"30","author":"Ramsk\u00f6ld","year":"2012","journal-title":"Nat. Biotechnol."},{"key":"10.1016\/j.bbrep.2026.102592_bib12","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1038\/s41587-020-0497-0","article-title":"Single-cell RNA counting at allele and isoform resolution using Smart-seq3","volume":"38","author":"Hagemann-Jensen","year":"2020","journal-title":"Nat. Biotechnol."},{"key":"10.1016\/j.bbrep.2026.102592_bib13","doi-asserted-by":"crossref","first-page":"1096","DOI":"10.1038\/nmeth.2639","article-title":"Smart-seq2 for sensitive full-length transcriptome profiling in single cells","volume":"10","author":"Picelli","year":"2013","journal-title":"Nat. Methods"},{"key":"10.1016\/j.bbrep.2026.102592_bib14","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1038\/nmeth.4179","article-title":"Seq-well: portable, low-cost RNA sequencing of single cells at high throughput","volume":"14","author":"Gierahn","year":"2017","journal-title":"Nat. Methods"},{"key":"10.1016\/j.bbrep.2026.102592_bib15","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1126\/science.aam8999","article-title":"Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding","volume":"360","author":"Rosenberg","year":"2018","journal-title":"Science"},{"key":"10.1016\/j.bbrep.2026.102592_bib16","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1126\/science.aam8940","article-title":"Comprehensive single-cell transcriptional profiling of a multicellular organism","volume":"357","author":"Cao","year":"2017","journal-title":"Science"},{"key":"10.1016\/j.bbrep.2026.102592_bib17","doi-asserted-by":"crossref","DOI":"10.3390\/ijms25073828","article-title":"Comparative analysis of single-cell RNA sequencing methods with and without sample multiplexing","volume":"25","author":"Xie","year":"2024","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.bbrep.2026.102592_bib18","doi-asserted-by":"crossref","first-page":"1069","DOI":"10.1186\/s12864-024-10976-x","article-title":"Comparative transcriptomic analyses of thymocytes using 10x Genomics and parse scRNA-seq technologies","volume":"25","author":"Filippov","year":"2024","journal-title":"BMC Genom."},{"key":"10.1016\/j.bbrep.2026.102592_bib20","doi-asserted-by":"crossref","first-page":"102101","DOI":"10.1016\/j.xcrm.2025.102101","article-title":"Low T cell diversity associates with poor outcome in bladder cancer: a comprehensive longitudinal analysis of the T cell receptor repertoire","volume":"6","author":"Kj\u00e6r","year":"2025","journal-title":"Cell Rep. Med."},{"key":"10.1016\/j.bbrep.2026.102592_bib22","doi-asserted-by":"crossref","DOI":"10.1186\/s13059-017-1382-0","article-title":"SCANPY: large-scale single-cell gene expression data analysis","volume":"19","author":"Wolf","year":"2018","journal-title":"Genome Biol."},{"key":"10.1016\/j.bbrep.2026.102592_bib27","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1038\/s41576-023-00586-w","article-title":"Best practices for single-cell analysis across modalities","volume":"24","author":"Heumos","year":"2023","journal-title":"Nat. Rev. Genet."},{"key":"10.1016\/j.bbrep.2026.102592_bib24","doi-asserted-by":"crossref","first-page":"D948","DOI":"10.1093\/nar\/gkae1071","article-title":"Ensembl 2025","volume":"53","author":"Dyer","year":"2025","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.bbrep.2026.102592_bib23","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1038\/s41592-018-0229-2","article-title":"Deep generative modeling for single-cell transcriptomics","volume":"15","author":"Lopez","year":"2018","journal-title":"Nat. Methods"},{"key":"10.1016\/j.bbrep.2026.102592_bib25","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1038\/s41587-021-01206-w","article-title":"A python library for probabilistic analysis of single-cell omics data","volume":"40","author":"Gayoso","year":"2022","journal-title":"Nat. Biotechnol."},{"key":"10.1016\/j.bbrep.2026.102592_bib29","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1186\/s12864-024-10285-3","article-title":"Split pool Ligation-based single-cell transcriptome sequencing (SPLiT-seq) data processing pipeline comparison","volume":"25","author":"Kuijpers","year":"2024","journal-title":"BMC Genom."},{"key":"10.1016\/j.bbrep.2026.102592_bib30","series-title":"Pseudogenes. Comp. Funct. Genomics 2012","first-page":"424526","author":"Tutar","year":"2012"}],"container-title":["Biochemistry and Biophysics Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405580826001524?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405580826001524?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T23:45:46Z","timestamp":1781739946000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2405580826001524"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":26,"alternative-id":["S2405580826001524"],"URL":"https:\/\/doi.org\/10.1016\/j.bbrep.2026.102592","relation":{},"ISSN":["2405-5808"],"issn-type":[{"value":"2405-5808","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Immune profiling of T cells: A comparative analysis of single-cell TCR sequencing using 10X Genomics and Parse Biosciences platforms","name":"articletitle","label":"Article Title"},{"value":"Biochemistry and Biophysics Reports","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bbrep.2026.102592","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"102592"}}