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Integrative single-cell chromatin and transcriptome analysis of human plasma cell differentiation

生物 表观遗传学 细胞分化 转录组 转录因子 染色质 细胞生物学 遗传学 人口 计算生物学 基因表达 基因 人口学 社会学
作者
Elina Alaterre,Sara Ovejero,Caroline Bret,Laure Dutrieux,Dassou Sika,Raúl F. Pérez,Marion Espéli,Thierry Fest,Michel Cogné,José I. Martı́n-Subero,Pierre Milpied,Giacomo Cavalli,Jérôme Moreaux
出处
期刊:Blood [Elsevier BV]
卷期号:144 (5): 496-509 被引量:16
标识
DOI:10.1182/blood.2023023237
摘要

Plasma cells (PCs) are highly specialized cells representing the end stage of B-cell differentiation. We have shown that PC differentiation can be reproduced in vitro using elaborate culture systems. The molecular changes occurring during PC differentiation are recapitulated in this in vitro differentiation model. However, a major challenge exists to decipher the spatiotemporal epigenetic and transcriptional programs that drive the early stages of PC differentiation. We combined single cell (sc) RNA sequencing (RNA-seq) and assay for transposase-accessible chromatin with high throughput sequencing (scATAC-seq) to decipher the trajectories involved in PC differentiation. ScRNA-seq experiments revealed a strong heterogeneity of the preplasmablastic and plasmablastic stages. Among genes that were commonly identified using scATAC-seq and scRNA-seq, we identified several transcription factors with significant stage specific potential importance in PC differentiation. Interestingly, differentially accessible peaks characterizing the preplasmablastic stage were enriched in motifs of BATF3, FOS and BATF, belonging to activating protein 1 (AP-1) transcription factor family that may represent key transcriptional nodes involved in PC differentiation. Integration of transcriptomic and epigenetic data at the single cell level revealed that a population of preplasmablasts had already undergone epigenetic remodeling related to PC profile together with unfolded protein response activation and are committed to differentiate in PC. These results and the supporting data generated with our in vitro PC differentiation model provide a unique resource for the identification of molecular circuits that are crucial for early and mature PC maturation and biological functions. These data thus provide critical insights into epigenetic- and transcription-mediated reprogramming events that sustain PC differentiation.
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