一个来自自然和合成暴露于新冠病毒（SARS-CoV-2）的T细胞受体β（TCRβ）序列及结合关联的大规模数据库。
A large-scale database of T-cell receptor beta (TCRβ) sequences and binding associations from natural and synthetic exposure to SARS-CoV-2.
作者信息
Nolan Sean, Vignali Marissa, Klinger Mark, Dines Jennifer N, Kaplan Ian M, Svejnoha Emily, Craft Tracy, Boland Katie, Pesesky Mitch, Gittelman Rachel M, Snyder Thomas M, Gooley Christopher J, Semprini Simona, Cerchione Claudio, Mazza Massimiliano, Delmonte Ottavia M, Dobbs Kerry, Carreño-Tarragona Gonzalo, Barrio Santiago, Sambri Vittorio, Martinelli Giovanni, Goldman Jason D, Heath James R, Notarangelo Luigi D, Carlson Jonathan M, Martinez-Lopez Joaquin, Robins Harlan S
机构信息
Adaptive Biotechnologies.
Microsoft Research.
出版信息
Res Sq. 2020 Aug 4:rs.3.rs-51964. doi: 10.21203/rs.3.rs-51964/v1.
We describe the establishment and current content of the ImmuneCODE™ database, which includes hundreds of millions of T-cell Receptor (TCR) sequences from over 1,400 subjects exposed to or infected with the SARS-CoV-2 virus, as well as over 135,000 high-confidence SARS-CoV-2-specific TCRs. This database is made freely available, and the data contained in it can be downloaded and analyzed online or offline to assist with the global efforts to understand the immune response to the SARS-CoV-2 virus and develop new interventions.
我们描述了ImmuneCODE™数据库的建立过程及其当前内容，该数据库包含来自1400多名接触或感染过SARS-CoV-2病毒的受试者的数亿条T细胞受体（TCR）序列，以及超过135,000条高可信度的SARS-CoV-2特异性TCR。该数据库可免费获取，其中包含的数据可在线或离线下载和分析，以助力全球了解对SARS-CoV-2病毒免疫反应及开发新干预措施的努力。
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