Nature Communications (Jun 2020)
Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing
- 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
Affiliations
- Igor Mandric
- Department of Computer Science, University of California, Los Angeles
- Jeremy Rotman
- Department of Computer Science, University of California, Los Angeles
- Harry Taegyun Yang
- Department of Computer Science, University of California, Los Angeles
- Nicolas Strauli
- Biomedical Sciences Graduate Program, University of California, San Francisco
- Dennis J. Montoya
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles
- William Van Der Wey
- Department of Computer Science, University of California, Los Angeles
- Jiem R. Ronas
- Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles
- Benjamin Statz
- Department of Computer Science, University of California, Los Angeles
- Douglas Yao
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles
- Velislava Petrova
- Wellcome Trust Sanger Institute
- Alex Zelikovsky
- Department of Computer Science, Georgia State University
- Roberto Spreafico
- Institute for Quantitative and Computational Biosciences, University of California, Los Angeles
- Sagiv Shifman
- Department of Genetics, The Institute of Life Sciences, The Hebrew University of Jerusalem
- Noah Zaitlen
- Department of Medicine, University of California, San Francisco
- Maura Rossetti
- Immunogenetics Center, Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles
- K. Mark Ansel
- Sandler Asthma Basic Research Center, Department of Microbiology and Immunology, University of California, San Francisco
- Eleazar Eskin
- Department of Computer Science, University of California, Los Angeles
- Serghei Mangul
- Department of Computer Science, University of California, Los Angeles
- DOI
- https://doi.org/10.1038/s41467-020-16857-7
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 14
Abstract
Information on immune receptor repertoire provides important insights on disease progression and therapy development, but can be expensive and time-consuming to obtain. Here the authors report ImReP, a computational method that can extract detailed immune repertoire information from existing tissue-specific RNA sequencing data.
