Literature DB >> 23676619

Global detection and identification of developmental stage specific transcripts in mouse brain using subtractive cross-screening algorithm.

Yi Lv1, Zhixiang Zuo, Xiao Xu.   

Abstract

BACKGROUND: Pre-mRNA splicing is a crucial step for genetic regulation and accounts largely for downstream translational diversity. The current time of biological research is characterized by advances in functional genomics study and the understanding of the pre-mRNA splicing process has thus become a major portal for biologists to gain insights into the complex gene regulatory mechanism. The intranuclear alternative splicing process can form a variety of genomic transcripts that modulate the growth and development of an organism, particularly in the immune and neural systems.
METHODS: In the current study, we investigated and identified alternative splicing transcripts at different stages of embryonic mouse brain morphogenesis using subtractive cross-screening algorithm.
RESULTS: A total of 195 candidate transcripts were found during organogenesis; 1629 identified at fetus stage, 116 in juvenile and 148 transcripts from adulthood. To document our findings, we developed a database named DMBAS, which can be accessed through the link: http://173.234.48.5/DMBAS. We further investigated the alternative splicing products obtained in our experiment and noted the existence of chromosome preference between prenatal and postnatal transcripts. Additionally, the distribution of splicing sites and the splicing types were found to have distinct genomic features at varying stages of brain development. The majority of identified alternative splices (72.3%) at fetus stage were confirmed later using separate RNA-seq data sets.
CONCLUSION: This study is a comprehensive profiling of alternative splicing transcripts of mouse brain morphogenesis using advanced computational algorithm. A series of developmental stage specific transcripts, as well as their splicing sites and chromosome preferences were revealed in the current study. Our findings and the related online database would form a solid foundation for studies of broader biological significance and paved the way for future investigations in relevant human brain diseases.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AS; Alternative splicing; EST; NCBI; National Center for Biotechnology Information; Nervous system development; Splice database; Splice sites; alternative splicing; expressed sequence tag; mRNA; message RNA

Mesh:

Substances:

Year:  2013        PMID: 23676619     DOI: 10.1016/j.ygeno.2013.05.001

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  5 in total

1.  Identifying splicing regulatory elements with de Bruijn graphs.

Authors:  Eman Badr; Lenwood S Heath
Journal:  J Comput Biol       Date:  2014-12       Impact factor: 1.479

Review 2.  The analytical landscape of static and temporal dynamics in transcriptome data.

Authors:  Sunghee Oh; Seongho Song; Nupur Dasgupta; Gregory Grabowski
Journal:  Front Genet       Date:  2014-02-20       Impact factor: 4.599

3.  Computational Identification of Tissue-Specific Splicing Regulatory Elements in Human Genes from RNA-Seq Data.

Authors:  Eman Badr; Mahmoud ElHefnawi; Lenwood S Heath
Journal:  PLoS One       Date:  2016-11-18       Impact factor: 3.240

4.  CoSREM: a graph mining algorithm for the discovery of combinatorial splicing regulatory elements.

Authors:  Eman Badr; Lenwood S Heath
Journal:  BMC Bioinformatics       Date:  2015-09-04       Impact factor: 3.169

5.  Alternative splicing during Arabidopsis flower development results in constitutive and stage-regulated isoforms.

Authors:  Haifeng Wang; Chenjiang You; Fang Chang; Yingxiang Wang; Lei Wang; Ji Qi; Hong Ma
Journal:  Front Genet       Date:  2014-02-12       Impact factor: 4.599

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.