High-throughput pairing of T cell receptor α and β sequences-Reference-Cited by-同舟云学术

High-throughput pairing of T cell receptor α and β sequences

Published:2015-08-19 Issue:301 Volume:7 Page:
ISSN:1946-6234
Container-title:Science Translational Medicine
language:en
Short-container-title:Sci. Transl. Med.

Author:

Howie Bryan¹,Sherwood Anna M.¹,Berkebile Ashley D.¹,Berka Jan¹,Emerson Ryan O.¹,Williamson David W.¹,Kirsch Ilan¹,Vignali Marissa¹,Rieder Mark J.¹,Carlson Christopher S.²,Robins Harlan S.¹²

Affiliation:

1. Adaptive Biotechnologies, Seattle, WA 98102, USA.

2. Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.

Abstract

T cell receptor α and β sequences can be accurately paired from hundreds of thousands of T cell clones in parallel.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Reference40 articles.

1. T-cell antigen receptor genes and T-cell recognition

2. Genomic organization and sequence of T-cell receptor β-chain constant- and joining-region genes

3. The many important facets of T-cell repertoire diversity

4. The human t cell antigen receptor is encoded by variable, diversity, and joining gene segments that rearrange to generate a complete V gene

5. Organization and sequences of the diversity, joining, and constant region genes of the human T-cell receptor beta chain.

Cited by 186 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tissue-resident memory T cells in human kidney transplants have alloreactive potential;American Journal of Transplantation;2024-08

2. A Computational Strategy for the Rapid Identification and Ranking of Patient‐Specific T Cell Receptors Bound to Neoantigens;Macromolecular Rapid Communications;2024-06-12

3. Interpretable Prediction of SARS-CoV-2 Epitope-Specific TCR Recognition Using a Pre-Trained Protein Language Model;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2024-05

4. Unified cross-modality integration and analysis of T cell receptors and T cell transcriptomes by low-resource-aware representation learning;Cell Genomics;2024-05

5. Seq2MAIT: A Novel Deep Learning Framework for Identifying Mucosal Associated Invariant T (MAIT) Cells;2024-03-14