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Title

 

 

 

 

Identification and comparative analysis of novel alternatively spliced transcripts of RhoGEF domain encoding gene in C. elegans and C. briggsae

 

Authors

Luv Kashyap1, Mohammad Tabish1*, Subramaniam Ganesh2, Deepti Dubey2

 

Affiliation

1Department of Biochemistry, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, India; 2Department of biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, India

 

Email

tabish.biochem@gmail.com

 

Phone

+91 571 2700741; * Corresponding author

Article Type

Hypothesis

 

Date

received July 31, 2007; revised August 07, 2007; accepted August 11, 2007; published online August 16, 2007

 

Abstract

Y95B8A.12 gene of C. elegans encodes RhoGEF domain, which is a novel module in the Guanine nucleotide exchange factors (GEFs). Alternative splicing increases transcriptome and proteome diversification. Y95B8A.12 gene has two reported alternatively spliced transcripts by the C. elegans genome sequencing consortium. In the work presented here, we report the presence of four new spliced transcripts of Y95B8A.12 arising as a result of alternative splicing in the pre-mRNA encoded by Y95B8A.12 gene. Our methodology involved the use of various gene/exon finding programmes and several other bioinformatics tools followed by experimental validation. We have also studied alternative splicing pattern in RhoGEF domain encoding orthologues gene from C. briggsae and have obtained very similar results. These new unreported spliced transcripts, which were not detected through conventional approaches, not only point towards the extent of alternative splicing in C. elegans genes but also emphasize towards the need of analyzing genome data using a combinations of bioinformatics tools to delineate all possible gene products.

 

Keywords

 

RhoGEF domain; computational analysis; exon prediction; alternative splicing; C. elegans; C. briggsae

 

Citation

Kashyap et al., Bioinformation 2(2): 43-49 (2007)

Edited by

I. Roterman

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.