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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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