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Analysis of alternative cleavage and polyadenylation by 3' region extraction and deep sequencing

ABSTRACT: Alternative cleavage and polyadenylation (APA) generates diverse mRNA isoforms. We developed 3' region extraction and deep sequencing (3'READS) to address mispriming issues that commonly plague poly(A) site (pA) identification, and we used the method to comprehensively map pAs in the mouse genome. Thorough annotation of gene 3' ends revealed over 5,000 previously overlooked pAs (~8% of total) flanked by A-rich sequences, underscoring the necessity of using an accurate tool for pA mapping. About 79% of mRNA genes and 66% of long noncoding RNA genes undergo APA, but these two gene types have distinct usage patterns for pAs in introns and upstream exons. Quantitative analysis of APA isoforms by 3'READS indicated that promoter-distal pAs, regardless of intron or exon locations, become more abundant during embryonic development and cell differentiation and that upregulated isoforms have stronger pAs, suggesting global modulation of the 3' endM-bM-^@M-^Sprocessing activity in development and differentiation. 3'READS to map pAs in mouse genome

ORGANISM(S): Mus musculus

SUBMITTER: Zhe Ji

PROVIDER: E-GEOD-42398 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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RNA polyadenylation landscape in human and mouse cells

Project description:Alternative polyadenylation (APA) of mRNAs has emerged as an important mechanism for post-transcriptional gene regulation in higher eukaryotes. Although microarrays have recently been used to characterize APA globally, they have a number of serious limitations that prevents comprehensive and highly quantitative analysis. To better characterize APA and its regulation, we have developed a deep sequencing-based method called Poly(A) Site Sequencing (PAS-Seq) for quantitatively profiling RNA polyadenylation at the transcriptome level. PAS-Seq not only accurately and comprehensively identifies poly(A) junctions in mRNAs and noncoding RNAs, but also provides quantitative information on the relative abundance of polyadenylated RNAs. We first analyzed HeLa cell transcriptome using PAS-Seq to demonstrate that PAS-Seq not only accurately and comprehensively identifies poly(A) junctions, but also provide quantitative information on the relativel abundance of APA isoforms. Next we analyzed the mouse embryonic stem cells, neural stem/progenitor cells, and neurons by PAS-Seq to characterize the dynamic changes of mRNA polyadenylation during stem cell differentiation.

2011-02-26 | E-GEOD-25450 | biostudies-arrayexpress

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