Department of Pathology and Immunology, Washington University School of Medicine in St Louis, St Louis, MO 63110, USA.
Proc Natl Acad Sci U S A. 2013 Aug 20;110(34):E3206-15. doi: 10.1073/pnas.1304048110. Epub 2013 Aug 5.
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 Vβ 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 DβJβ targets, and predicted quality of recombination signal sequences (RSSs). We show that, in contrast to functional Vβ gene segments, all pseudo-Vβ 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 Vβ use, dominated by chromatin modifications associated with transcription, but largely independent of precise spatial proximity to DβJβ 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.
主要抗原受体库是通过 V(D)J 重组过程塑造的,该过程必须在多样化和有利于具有特殊功能的基因片段之间取得平衡。基因片段选择完成可变区编码外显子的频率的精确决定因素仍然难以捉摸。我们定量了预选 Tcrb 库中的 Vβ 使用情况,并报告了可能影响其重组效率的 13 个不同特征的相对贡献,包括转录、染色质环境、与 DβJβ 靶标的空间接近度以及预测的重组信号序列 (RSS) 质量。我们表明,与功能 Vβ 基因片段相反,所有假 Vβ 片段都被隔离在转录沉默的染色质中,这有效地抑制了浪费性重组。重要的是,计算分析提供了一个统一的模型,揭示了五个可预测 Vβ 使用的参数,这些参数主要由与转录相关的染色质修饰主导,但在很大程度上独立于与 DβJβ 簇的精确空间接近度。这种经过学习的模型构建策略可能有助于预测在其他抗原受体基因座塑造预选 V 库时,表观遗传、空间和 RSS 特征的相对贡献。最终,这些模型还可以预测这些基因座的设计或自然发生的改变如何干扰可变基因片段的预选使用。