Alternative polyadenylation links RNA processing to iron metabolism in human erythropoiesis
Shan Yu, Xianyan Zeng, Jing Chen, Zheqi Lou, Tinghui Jiang, Yangxin Ou, Peizhen Du, Jiyao Rao, Xinyan Dai, Ming Gong, Jing Xu, Ping Yi, Fang Wang, Xiaoshuang Wang, Yong Zhu

TL;DR
This study shows how RNA processing, specifically alternative polyadenylation, connects to iron metabolism during red blood cell formation and how it may be linked to a blood disorder called polycythemia vera.
Contribution
The study identifies a novel regulatory axis involving CPSF6, APA, and iron metabolism in erythropoiesis and links its dysregulation to polycythemia vera.
Findings
Seven distinct APA dynamic patterns were identified during erythropoiesis, with genes involved in iron metabolism showing stage-specific APA changes.
CPSF6 depletion impaired heme synthesis and caused intracellular iron deficiency by shortening 3′UTRs of iron metabolism regulators.
CPSF6 and APA-regulated iron metabolism genes were upregulated in polycythemia vera patients, correlating with erythroid hyperproliferation.
Abstract
Erythropoiesis requires precise coordination of transcriptional and co-/post-transcriptional programs, yet the role of alternative polyadenylation (APA) in this process remains poorly understood. Here, we profiled the genome-wide dynamic APA landscape during erythropoiesis using single-cell RNA sequencing (scRNA-seq). Through clustering and functional enrichment analysis, seven distinct APA dynamic patterns were identified, with genes showing stage-specific APA changes enriched in erythroid lineage differentiation, heme synthesis, and iron metabolism. Combining motif analysis near polyadenylation sites (PASs) and APA regulators expression profiling, we observed that cleavage and polyadenylation specificity factor 6 (CPSF6), a critical APA regulator, exhibited significant variation. Functional assays demonstrated that CPSF6 facilitates erythropoiesis, as its depletion impaired heme…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMyeloproliferative Neoplasms: Diagnosis and Treatment · RNA Research and Splicing · Acute Myeloid Leukemia Research
