Aysegul Guvenek1,2, Bin Tian1,3,4. 1. Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, NJ 07103, USA. 2. Rutgers School of Graduate Studies, Newark, NJ 07103, USA. 3. Rutgers Cancer Institute of New Jersey, Newark, NJ 07103, USA. 4. Rutgers Brain Health Institute, Newark, NJ 07103, USA.
Abstract
BACKGROUND: Most eukaryotic protein-coding genes exhibit alternative cleavage and polyadenylation (APA), resulting in mRNA isoforms with different 3' untranslated regions (3' UTRs). Studies have shown that brain cells tend to express long 3' UTR isoforms using distal cleavage and polyadenylation sites (PASs). METHODS: Using our recently developed, comprehensive PAS database PolyA_DB, we developed an efficient method to examine APA, named Significance Analysis of Alternative Polyadenylation using RNA-seq (SAAP-RS). We applied this method to study APA in brain cells and neurogenesis. RESULTS: We found that neurons globally express longer 3' UTRs than other cell types in brain, and microglia and endothelial cells express substantially shorter 3' UTRs. We show that the 3' UTR diversity across brain cells can be corroborated with single cell sequencing data. Further analysis of APA regulation of 3' UTRs during differentiation of embryonic stem cells into neurons indicates that a large fraction of the APA events regulated in neurogenesis are similarly modulated in myogenesis, but to a much greater extent. CONCLUSION: Together, our data delineate APA profiles in different brain cells and indicate that APA regulation in neurogenesis is largely an augmented process taking place in other types of cell differentiation.
BACKGROUND: Most eukaryotic protein-coding genes exhibit alternative cleavage and polyadenylation (APA), resulting in mRNA isoforms with different 3' untranslated regions (3' UTRs). Studies have shown that brain cells tend to express long 3' UTR isoforms using distal cleavage and polyadenylation sites (PASs). METHODS: Using our recently developed, comprehensive PAS database PolyA_DB, we developed an efficient method to examine APA, named Significance Analysis of Alternative Polyadenylation using RNA-seq (SAAP-RS). We applied this method to study APA in brain cells and neurogenesis. RESULTS: We found that neurons globally express longer 3' UTRs than other cell types in brain, and microglia and endothelial cells express substantially shorter 3' UTRs. We show that the 3' UTR diversity across brain cells can be corroborated with single cell sequencing data. Further analysis of APA regulation of 3' UTRs during differentiation of embryonic stem cells into neurons indicates that a large fraction of the APA events regulated in neurogenesis are similarly modulated in myogenesis, but to a much greater extent. CONCLUSION: Together, our data delineate APA profiles in different brain cells and indicate that APA regulation in neurogenesis is largely an augmented process taking place in other types of cell differentiation.
Entities:
Keywords:
RNA-seq; alternative polyadenylation; brain cells; scRNA-seq
Authors: Juan Ji An; Kusumika Gharami; Guey-Ying Liao; Newton H Woo; Anthony G Lau; Filip Vanevski; Enrique R Torre; Kevin R Jones; Yue Feng; Bai Lu; Baoji Xu Journal: Cell Date: 2008-07-11 Impact factor: 41.582
Authors: Steven W Flavell; Tae-Kyung Kim; Jesse M Gray; David A Harmin; Martin Hemberg; Elizabeth J Hong; Eirene Markenscoff-Papadimitriou; Daniel M Bear; Michael E Greenberg Journal: Neuron Date: 2008-12-26 Impact factor: 17.173
Authors: Eric T Wang; Rickard Sandberg; Shujun Luo; Irina Khrebtukova; Lu Zhang; Christine Mayr; Stephen F Kingsmore; Gary P Schroth; Christopher B Burge Journal: Nature Date: 2008-11-27 Impact factor: 49.962
Authors: Bongmin Bae; Hannah N Gruner; Maebh Lynch; Ting Feng; Kevin So; Daniel Oliver; Grant S Mastick; Wei Yan; Simon Pieraut; Pedro Miura Journal: RNA Date: 2020-06-10 Impact factor: 4.942
Authors: Callison E Alcott; Hari Krishna Yalamanchili; Ping Ji; Meike E van der Heijden; Alexander Saltzman; Nathan Elrod; Ai Lin; Mei Leng; Bhoomi Bhatt; Shuang Hao; Qi Wang; Afaf Saliba; Jianrong Tang; Anna Malovannaya; Eric J Wagner; Zhandong Liu; Huda Y Zoghbi Journal: Elife Date: 2020-04-22 Impact factor: 8.140
Authors: Nitika Kandhari; Calvin A Kraupner-Taylor; Paul F Harrison; David R Powell; Traude H Beilharz Journal: Int J Mol Sci Date: 2021-05-18 Impact factor: 5.923