A proteogenomic approach to understand splice isoform functions through sequence and expression-based computational modeling.

Abstract:

:The products of multi-exon genes are a mixture of alternatively spliced isoforms, from which the translated proteins can have similar, different or even opposing functions. It is therefore essential to differentiate and annotate functions for individual isoforms. Computational approaches provide an efficient complement to expensive and time-consuming experimental studies. The input data of these methods range from DNA sequence, to RNA selection pressure, to expressed sequence tags, to full-length complementary DNA, to exon array, to RNA-seq expression, to proteomic data. Notably, RNA-seq technology generates quantitative profiling of transcript expression at the genome scale, with an unprecedented amount of expression data available for developing isoform function prediction methods. Integrative analysis of these data at different molecular levels enables a proteogenomic approach to systematically interrogate isoform functions. Here, we briefly review the state-of-the-art methods according to their input data sources, discuss their advantages and limitations and point out potential ways to improve prediction accuracies.

journal_name

Brief Bioinform

authors

Li HD,Omenn GS,Guan Y

doi

10.1093/bib/bbv109

subject

Has Abstract

pub_date

2016-11-01 00:00:00

pages

1024-1031

issue

6

eissn

1467-5463

issn

1477-4054

pii

bbv109

journal_volume

17

pub_type

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