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细胞周期耦合转录网络调控人类B细胞命运分化。

Cell cycle-coupled transcriptional network orchestrates human B cell fate bifurcation.

作者信息

Pease Nicholas A, Fan Jingyu, Keshari Swapnil, Stratton Jered, Gerges Peter, Varghese Betsy Ann, Nampoothiri Narayanan Vp, McGinnis Christopher S, Zhang Wenxi, Gierlack Steven B, Swaminathan Tanush, Sachan Akanksha, Vijay Godhev Manakkat, Hernandez Luis Mena, Rarani Zarifeh Heidari, Macedo Camila, Metes Diana, Satpathy Ansuman T, Jain Abhinav K, Sahni Nidhi, Stallaert Wayne, Das Jishnu, Singh Harinder

机构信息

Center for Systems Immunology and Departments of Immunology and Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA.

The Joint CMU-Pitt Ph.D. Program in Computational Biology, Carnegie Mellon University and University of Pittsburgh, Pittsburgh, PA.

出版信息

bioRxiv. 2025 Jun 25:2025.04.23.649973. doi: 10.1101/2025.04.23.649973.

Abstract

Antibody responses are determined by activated B cells bifurcating into plasmablasts (PBs) and germinal center B cells (GCBCs). Gene regulatory networks (GRNs) underlying human B cell fate choice remain uncharted. Temporally resolved single-cell multi-omics, computational modeling and CRISPR-based perturbations were used to assemble, simulate and test high-resolution GRNs underlying PB and GC fates. The results converged with orthogonal predictions of transcription factor (TF) action at single-nucleotide resolution, revealing dominant and reciprocal actions of IRF4 and its binding partners at simple and composite IRF motifs. Single-cell perturbation analysis of these TFs demonstrated multiple reciprocal negative feedback loops controlling the bifurcation. Additionally, IRF4 and BLIMP1, co-repressed the cell cycle regulators and . G0/G1 lengthening accelerated the switching of cells to an IRF4BLIMP1 regulatory state and enhanced the probability of PB specification, thereby uncovering a self-reinforcing regulatory module that couples cell cycle dynamics to B cell fate choice.

摘要

抗体反应由活化的B细胞分化为浆母细胞(PBs)和生发中心B细胞(GCBCs)所决定。人类B细胞命运选择背后的基因调控网络(GRNs)仍未被揭示。利用时间分辨单细胞多组学、计算建模和基于CRISPR的扰动来组装、模拟和测试PB和GC命运背后的高分辨率GRNs。结果与转录因子(TF)在单核苷酸分辨率下作用的正交预测结果一致,揭示了IRF4及其结合伙伴在简单和复合IRF基序上的主导和相互作用。对这些TF的单细胞扰动分析表明,多个相互负反馈环控制着细胞分化。此外,IRF4和BLIMP1共同抑制细胞周期调节因子 和 。G0/G1期延长加速了细胞向IRF4BLIMP1调节状态的转变,并提高了PB分化的概率,从而揭示了一个将细胞周期动态与B细胞命运选择相耦合的自我强化调节模块。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/163d/12262194/e386bf00a7f6/nihpp-2025.04.23.649973v2-f0001.jpg

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