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Single-cell landscape of alternative polyadenylation in human lymphoid hematopoiesis
Jiaqi Qiang1,2,3,4,† , Shan Yu1,2,5,† , Jun Li6,† , Yu Rong1,2 , Xiaoshuang Wang1,2,* , Yong Zhu7,* , Fang Wang1,2,*
1State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Un ion Medical College, Beijing 100005, China
2The Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing 100005, China
3Eight-Year Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Un ion Medical College, Beijing 100730, China
4Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Uni on Medical College Hospital, Chinese Academy of Medical Science and Peking Unio n Medical College, Beijing 100730, China
5Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou 310030, China
6Department of Cardiovascular Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing 400014, China
7College of Basic Medicine, Chongqing Medical University, Chongqing 400016, China
These authors contributed equally to this work
*Correspondence to:Fang Wang , Email:wo_wfang@hotmail.com Yong Zhu , Email:yongz59@cqmu.edu.cn Xiaoshuang Wang , Email:cattle1131@163.com
J Mol Cell Biol, Volume 16, Issue 7, July 2024, mjae027,  https://doi.org/10.1093/jmcb/mjae027
Keyword: alternative polyadenylation, hematopoiesis, lymphoid differentiation, post-transcription, single-cell

Alternative polyadenylation (APA) is an essential post-transcriptional process that produces mature mRNA isoforms by regulating the usage of polyadenylation sites (PASs). APA is involved in lymphocyte activation; however, its role throughout the entire differentiation trajectory remains elusive. Here, we analyzed single-cell 3′-end transcriptome data from healthy subjects to construct a dynamic-APA landscape from hematopoietic stem and progenitor cells (HSPCs) to terminally differentiated lymphocytes. This analysis covered 19973 cells of 12 clusters from five lineages (B cells, CD4+ T cells, CD8+ T cells, natural killer cells, and plasmacytoid dendritic cells). A total of 2364 genes exhibited differential 3′-untranslated region (3′UTR) PAS usage, and 3021 genes displayed differential intronic cleavage during lymphoid differentiation. We observed a global trend of 3′UTR shortening during lymphoid differentiation. Nevertheless, specific events of both 3′UTR shortening and lengthening were also identified within each cluster. The APA patterns delineated three differentiation stages: HSPCs, precursor cells, and mature cells. Moreover, we demonstrated that the conversion of naïve T cells to memory T cells was accompanied by dynamic APA in transcription factor-encoding genes (TCF7 and NFATC2IP), immune function-related genes (BCL2, CD5, CD28, GOLT1B, and TMEM59), and protein ubiquitination-related genes (UBE2G1, YPEL5, and SUMO3). These findings expand our understanding of the underlying molecular mechanisms of APA and facilitate studies on the regulatory role of APA in lymphoid hematopoiesis.