reproducibility and reuse of adaptive immune receptor repertoire data

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2017
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Abstract
High-throughput sequencing (HTS) of immunoglobulin (B-cell receptor, antibody) and T-cell receptor repertoires has increased dramatically since the technique was introduced in 2009 (1–3). This experimental approach explores the maturation of the adaptive immune system and its response to antigens, pathogens, and disease conditions in exquisite detail. It holds significant promise for diagnostic and therapy-guiding applications. New technology often spreads rapidly, sometimes more rapidly than the understanding of how to make the products of that technology reliable, reproducible, or usable by others. As complex technologies have developed, scientific communities have come together to adopt common standards, protocols, and policies for generating and sharing data sets, such as the MIAME protocols developed for microarray experiments. The Adaptive Immune Receptor Repertoire (AIRR) Community formed in 2015 to address similar issues for HTS data of immune repertoires. The purpose of this perspective is to provide an overview of the AIRR Community’s founding principles and present the progress that the AIRR Community has made in developing standards of practice and data sharing protocols. Finally, and most important, we invite all interested parties to join this effort to facilitate sharing and use of these powerful data sets (join@airr-community.org).
Reference Key
breden2017frontiersreproducibility Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Felix Breden;Eline T. Luning Prak;Bjoern Peters;Florian Rubelt;Chaim A. Schramm;Christian E. Busse;Jason A. Vander Heiden;Scott Christley;Syed Ahmad Chan Bukhari;Adrian Thorogood;Frederick A. Matsen IV;Yariv Wine;Uri Laserson;David Klatzmann;Daniel C. Douek;Marie-Paule Lefranc;Andrew M. Collins;Tania Bubela;Steven H. Kleinstein;Corey T. Watson;Lindsay G. Cowell;Jamie K. Scott;Thomas B. Kepler;Thomas B. Kepler
Journal sudebno-meditsinskaia ekspertiza
Year 2017
DOI
10.3389/fimmu.2017.01418
URL
http://journal.frontiersin.org/article/10.3389/fimmu.2017.01418/full
Keywords
data sharing immunogenetics allergy high-throughput sequencingimmunologic diseases

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