research data . Dataset . 2016

Single-cell TCRseq: paired recovery of entire T-cell alpha and beta chain transcripts in T-cell receptors from single-cell RNAseq

Redmond, David; Poran, Asaf; Elemento, Olivier;
  • Published: 16 Dec 2016
  • Publisher: Figshare
Abstract
Abstract Accurate characterization of the repertoire of the T-cell receptor (TCR) alpha and beta chains is critical to understanding adaptive immunity. Such characterization has many applications across such fields as vaccine development and response, clone-tracking in cancer, and immunotherapy. Here we present a new methodology called single-cell TCRseq (scTCRseq) for the identification and assembly of full-length rearranged V(D)J T-cell receptor sequences from paired-end single-cell RNA sequencing reads. The method allows accurate identification of the V(D)J rearrangements for each individual T-cell and has the novel ability to recover paired alpha and beta se...
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doi: 10.6084/m9.figshare.c.3643922.v1 , 10.6084/m9.figshare.c.3643922
Subjects
free text keywords: Biophysics, 29999 Physical Sciences not elsewhere classified, Medicine, Microbiology, Cell Biology, Genetics, Molecular Biology, Biotechnology, Immunology, Developmental Biology, Cancer, Hematology, 110309 Infectious Diseases, Computational Biology, FOS: Physical sciences, FOS: Biological sciences, FOS: Clinical medicine, FOS: Health sciences, Infectious Diseases
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Dataset . 2016
Provider: Datacite
figshare
Dataset . 2016
Provider: Datacite
Figshare
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