期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 110, 期 34, 页码 E3206-E3215出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1304048110
关键词
lymphocytes; T-cell receptor; gene regulation
资金
- National Cancer Institute Cancer Center [P30 CA91842]
- ICTS/CTSA from the National Center for Research Resources, a component of the National Institutes of Health (NIH) [UL1RR024992]
- NIH Roadmap for Medical Research
- NIH [AI 079732, AI 081224, CA 156690, AI 082918]
- NATIONAL CANCER INSTITUTE [P30CA091842, R01CA156690] Funding Source: NIH RePORTER
- NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES [UL1TR000448] Funding Source: NIH RePORTER
- NATIONAL CENTER FOR RESEARCH RESOURCES [UL1RR024992] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [R01AI079732, R01AI082918, R21AI081224] Funding Source: NIH RePORTER
The primary antigen receptor repertoire is sculpted by the process of V(D)J recombination, which must strike a balance between diversification and favoring gene segments with specialized functions. The precise determinants of how often gene segments are chosen to complete variable region coding exons remain elusive. We quantified V beta use in the preselection Tcrb repertoire and report relative contributions of 13 distinct features that may shape their recombination efficiencies, including transcription, chromatin environment, spatial proximity to their D beta J beta targets, and predicted quality of recombination signal sequences (RSSs). We show that, in contrast to functional V beta gene segments, all pseudo-V beta segments are sequestered in transcriptionally silent chromatin, which effectively suppresses wasteful recombination. Importantly, computational analyses provide a unifying model, revealing a minimum set of five parameters that are predictive of V beta use, dominated by chromatin modifications associated with transcription, but largely independent of precise spatial proximity to D beta J beta clusters. This learned model-building strategy may be useful in predicting the relative contributions of epigenetic, spatial, and RSS features in shaping preselection V repertoires at other antigen receptor loci. Ultimately, such models may also predict how designed or naturally occurring alterations of these loci perturb the preselection use of variable gene segments.
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