Transcriptomic and proteomic data integration and two- dimensional molecular maps with regulatory and functional linkages: application to cell proliferation and invasion networks in glioblastoma

Gupta, Manoj Kumar and Jayaram, Savita (2015) Transcriptomic and proteomic data integration and two- dimensional molecular maps with regulatory and functional linkages: application to cell proliferation and invasion networks in glioblastoma. Journal of Proteome Research, 14. pp. 5017-5027.

[img] PDF
Publications_1_Manoj Kumar Gupta.pdf - Published Version
Restricted to Registered users only

Download (6MB) | Request a copy

Abstract

Glioblastoma multiforme (GBM), the most aggressive primary brain tumor, is characterized by high rates of cell proliferation, migration, and invasion. New therapeutic strategies and targets are being continuously explored with the hope for better outcome. By overlaying transcriptomic and proteomic data from GBM clinical tissues, we identified 317 differentially expressed proteins to be concordant with the messenger RNAs (mRNAs). We used these entities to generate integrated regulatory information at the level of microRNAs (miRNAs) and their mRNA and protein targets using prediction programs or experimentally verified miRNA target mode in the miRWalk database. We observed 60% or even more of the miRNA−target pairs to be consistent with experimentally observed inverse expression of these molecules in GBM. The integrated view of these regulatory cascades in the contexts of cell proliferation and invasion networks revealed two-dimensional molecular interactions with regulatory and functional linkages (miRNAs and their mRNA−protein targets in one dimension; multiple miRNAs associated in a functional network in the second dimension). A total of 28 of the 35 differentially expressed concordant mRNA−protein entities represented in the proliferation network, and 51 of the 59 such entities represented in the invasion network, mapped to altered miRNAs from GBM and conformed to an inverse relationship in their expression. We believe the two-dimensional maps of gene expression changes enhance the strength of the discovery datasets derived from omics-based studies for their applications in GBM as well as tumors in general.

Item Type: Article
Uncontrolled Keywords: Glioblastoma; microRNA; proteomics; transcriptomics; 2D molecular maps; cell proliferation; cell invasion.
Subjects: Research > Research Center - Health Sciences
Depositing User: KMC Library
Date Deposited: 11 Jul 2017 03:57
Last Modified: 11 Jul 2017 03:57
URI: http://eprints.manipal.edu/id/eprint/149311

Actions (login required)

View Item View Item