期刊
CANCER RESEARCH
卷 79, 期 7, 页码 1299-1301出版社
AMER ASSOC CANCER RESEARCH
DOI: 10.1158/0008-5472.CAN-19-0225
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- Ludwig Institute for Cancer Research
- University of Lausanne
- Swiss Institute of Bioinformatics
Deep sequencing of T-cell receptors enables the comprehensive profiling of lymphocyte populations and the characterization of the repertoire of T-cell responses against tumors, which could be applied to diagnose cancers. Ostmeyer and colleagues introduce a novel approach to characterize TCR patterns correlating with antigen recognition. By projecting the large TCR sequence space into a handful of biophysicochemical descriptors for key residues and seeking TCRs with similar antigen-binding capabilities even in the absence of identical amino acids, this approach presents several advantages over current methods. See related article by Ostmeyer et al., p. 1671
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