Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing

被引:0
作者
Igor Mandric
Jeremy Rotman
Harry Taegyun Yang
Nicolas Strauli
Dennis J. Montoya
William Van Der Wey
Jiem R. Ronas
Benjamin Statz
Douglas Yao
Velislava Petrova
Alex Zelikovsky
Roberto Spreafico
Sagiv Shifman
Noah Zaitlen
Maura Rossetti
K. Mark Ansel
Eleazar Eskin
Serghei Mangul
机构
[1] University of California,Department of Computer Science
[2] Los Angeles,Department of Clinical Pharmacy
[3] School of Pharmacy,Bioinformatics Interdepartmental Ph.D. Program
[4] University of Southern California,Biomedical Sciences Graduate Program
[5] University of California,Department of Molecular, Cell, and Developmental Biology
[6] Los Angeles,Department of Microbiology, Immunology, and Molecular Genetics
[7] University of California,Program in Bioinformatics and Integrative Genomics
[8] San Francisco,Department of Computer Science
[9] University of California,The Laboratory of Bioinformatics
[10] Los Angeles,Department of Genetics
[11] University of California,Department of Medicine
[12] Los Angeles,Immunogenetics Center, Department of Pathology and Laboratory Medicine
[13] Harvard Medical School,Sandler Asthma Basic Research Center, Department of Microbiology and Immunology
[14] Wellcome Trust Sanger Institute,Department of Human Genetics
[15] Georgia State University,Department of Computational Medicine
[16] I.M. Sechenov First Moscow State Medical University,undefined
[17] Institute for Quantitative and Computational Biosciences,undefined
[18] University of California,undefined
[19] Los Angeles,undefined
[20] The Institute of Life Sciences,undefined
[21] The Hebrew University of Jerusalem,undefined
[22] University of California,undefined
[23] San Francisco,undefined
[24] David Geffen School of Medicine,undefined
[25] University of California,undefined
[26] Los Angeles,undefined
[27] University of California,undefined
[28] San Francisco,undefined
[29] David Geffen School of Medicine at UCLA,undefined
[30] David Geffen School of Medicine at UCLA,undefined
来源
Nature Communications | / 11卷
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摘要
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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