Wenjun Wang, Lei Zhou, Hui Li, Tingge Sun, Xue Wen, Wei Li, Miguel A. Esteban, Andrew R. Hoffman, Ji-Fan Hu, Jiuwei Cui
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引用次数: 0
Abstract
The N6-methyladenosine (m6A) RNA modification plays essential roles in multiple biological processes, including stem cell fate determination. To explore the role of the m6A modification in pluripotent reprogramming, we used RNA-seq to map m6A effectors in human iPSCs, fibroblasts, and H9 ESCs, as well as in mouse ESCs and fibroblasts. By integrating the human and mouse RNA-seq data, we found that 19 m6A effectors were significantly upregulated in reprogramming. Notably, IGF2BPs, particularly IGF2BP1, were among the most upregulated genes in pluripotent cells, while YTHDF3 had high levels of expression in fibroblasts. Using quantitative PCR and Western blot, we validated the pluripotency-associated elevation of IGF2BPs. Knockdown of IGF2BP1 induced the downregulation of stemness genes and exit from pluripotency. Proteome analysis of cells collected at both the beginning and terminal states of the reprogramming process revealed that the IGF2BP1 protein was positively correlated with stemness markers SOX2 and OCT4. The eCLIP-seq target analysis showed that IGF2BP1 interacted with the coding sequence (CDS) and 3’UTR regions of the SOX2 transcripts, in agreement with the location of m6A modifications. This study identifies IGF2BP1 as a vital pluripotency-associated m6A effector, providing new insight into the interplay between m6A epigenetic modifications and pluripotent reprogramming.
期刊介绍:
Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics.
Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.