alexa
Reach Us +44-1202-068036
Meta-analysis Of Metastatic Cancer Transcriptomes: A New Approach To Uncover Molecular Pathological Events In Different Cancer Tissues | 869
ISSN: 2153-0769

Metabolomics:Open Access
Open Access

Like us on:

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Meta-analysis of metastatic cancer transcriptomes: A new approach to uncover molecular pathological events in different cancer tissues

2nd International Conference and Exhibition on Metabolomics & Systems Biology

Aisha Naeem, Sundus Iqbal, Hira Ejaz and Muhammad Sulaman Nawaz

Accepted Abstracts: Metabolomics

DOI: 10.4172/2153-0769.S1.022

Abstract
To spill secrets of metastatic cancers, individual expression of true sets of respective genes must spread across the tissue. During this study, meta-analysis for transcriptional profiles of metastatic cancers was performed to explore the genes or gene regulatory elements that can possibly serve as signature elements for the initiation and progression of metastatic cancers. In the analysis, transcriptional profiles of lung, liver, spleen, colorectal, colon, breast, bladder, blood, and kidney cancerous and normal tissue were extracted from Gene Expression Omnibus (GEO; an online source). A newly developed bioinformatics approach, Dynamic Impact Analysis (DIA) was applied for enrichment analysis of transcriptional profiles using freely available online resource Database for Annotation Visualization and Integrated Discovery (DAVID). For an in-depth analysis of differentially expressed transcription factors (TFs) and regulatory gene networks, oPOSSUM and Cytoscape (v. 2.8.2) were used. An ANOVA using a MIXED model in SAS was conducted on all microarray data with a multiple comparison correction and false discovery rate (FDR) to extract lists of differentially expressed genes (DEGs P value < 0.01) in all of the samples. The DAVID analysis uncovered the most significantly enriched pathways in molecular functions. The molecular functions ?Ubiquitin thiol esterase activity? and ?Structural constituent of ribosome? were up regulated in bladder, colorectal, lung, spleen, and prostate cancer. ?Transforming growth factor beta receptor activity? was inhibited in all cancers except colon, blood, and liver. oPOSSUM further revealed highly over-represented TFs comprising Broad-complex_3, Broad-complex_4, and Foxd3 except for blood and bladder cancer. These findings can help to identify those genes or networks that play a crucial role in the progression of cancer. Therefore, these transcription factors can be the potential candidates for the therapeutic drug targets that can hinder the deadly spread.
Biography
Aisha Naeem has completed her Ph.D. from University of Illinois at Urbana-Champaign, USA (Aug, 2009-Aug, 2011). Currently, she is serving as an assistant professor in COMSATS Institute of information Technology, Islamabad, Pakistan.
Leave Your Message 24x7
Top