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Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing
Profiling immunoglobulin (Ig) receptor repertoires with specialized assays can be cost-ineffective and time-consuming. Here we report ImReP, a computational method for rapid and accurate profiling of the Ig repertoire, including the complementary-determining region 3 (CDR3), using regular RNA sequen...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305308/ https://www.ncbi.nlm.nih.gov/pubmed/32561710 http://dx.doi.org/10.1038/s41467-020-16857-7 |
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author | Mandric, Igor Rotman, Jeremy Yang, Harry Taegyun Strauli, Nicolas Montoya, Dennis J. Van Der Wey, William Ronas, Jiem R. Statz, Benjamin Yao, Douglas Petrova, Velislava Zelikovsky, Alex Spreafico, Roberto Shifman, Sagiv Zaitlen, Noah Rossetti, Maura Ansel, K. Mark Eskin, Eleazar Mangul, Serghei |
author_facet | Mandric, Igor Rotman, Jeremy Yang, Harry Taegyun Strauli, Nicolas Montoya, Dennis J. Van Der Wey, William Ronas, Jiem R. Statz, Benjamin Yao, Douglas Petrova, Velislava Zelikovsky, Alex Spreafico, Roberto Shifman, Sagiv Zaitlen, Noah Rossetti, Maura Ansel, K. Mark Eskin, Eleazar Mangul, Serghei |
author_sort | Mandric, Igor |
collection | PubMed |
description | Profiling immunoglobulin (Ig) receptor repertoires with specialized assays can be cost-ineffective and time-consuming. Here we report ImReP, a computational method for rapid and accurate profiling of the Ig repertoire, including the complementary-determining region 3 (CDR3), using regular RNA sequencing data such as those from 8,555 samples across 53 tissues types from 544 individuals in the Genotype-Tissue Expression (GTEx v6) project. Using ImReP and GTEx v6 data, we generate a collection of 3.6 million Ig sequences, termed the atlas of immunoglobulin repertoires (TAIR), across a broad range of tissue types that often do not have reported Ig repertoires information. Moreover, the flow of Ig clonotypes and inter-tissue repertoire similarities across immune-related tissues are also evaluated. In summary, TAIR is one of the largest collections of CDR3 sequences and tissue types, and should serve as an important resource for studying immunological diseases. |
format | Online Article Text |
id | pubmed-7305308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73053082020-06-26 Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing Mandric, Igor Rotman, Jeremy Yang, Harry Taegyun Strauli, Nicolas Montoya, Dennis J. Van Der Wey, William Ronas, Jiem R. Statz, Benjamin Yao, Douglas Petrova, Velislava Zelikovsky, Alex Spreafico, Roberto Shifman, Sagiv Zaitlen, Noah Rossetti, Maura Ansel, K. Mark Eskin, Eleazar Mangul, Serghei Nat Commun Article Profiling immunoglobulin (Ig) receptor repertoires with specialized assays can be cost-ineffective and time-consuming. Here we report ImReP, a computational method for rapid and accurate profiling of the Ig repertoire, including the complementary-determining region 3 (CDR3), using regular RNA sequencing data such as those from 8,555 samples across 53 tissues types from 544 individuals in the Genotype-Tissue Expression (GTEx v6) project. Using ImReP and GTEx v6 data, we generate a collection of 3.6 million Ig sequences, termed the atlas of immunoglobulin repertoires (TAIR), across a broad range of tissue types that often do not have reported Ig repertoires information. Moreover, the flow of Ig clonotypes and inter-tissue repertoire similarities across immune-related tissues are also evaluated. In summary, TAIR is one of the largest collections of CDR3 sequences and tissue types, and should serve as an important resource for studying immunological diseases. Nature Publishing Group UK 2020-06-19 /pmc/articles/PMC7305308/ /pubmed/32561710 http://dx.doi.org/10.1038/s41467-020-16857-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mandric, Igor Rotman, Jeremy Yang, Harry Taegyun Strauli, Nicolas Montoya, Dennis J. Van Der Wey, William Ronas, Jiem R. Statz, Benjamin Yao, Douglas Petrova, Velislava Zelikovsky, Alex Spreafico, Roberto Shifman, Sagiv Zaitlen, Noah Rossetti, Maura Ansel, K. Mark Eskin, Eleazar Mangul, Serghei Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing |
title | Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing |
title_full | Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing |
title_fullStr | Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing |
title_full_unstemmed | Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing |
title_short | Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing |
title_sort | profiling immunoglobulin repertoires across multiple human tissues using rna sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305308/ https://www.ncbi.nlm.nih.gov/pubmed/32561710 http://dx.doi.org/10.1038/s41467-020-16857-7 |
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