Close
Help
Need Help?





JOURNAL

Cancer Informatics

856,958 Journal Article Views | Journal Analytics

In silico Analysis of Human Telomerase Reverse Transcriptase (hTERT ) Gene: Identification of a Distant Homolog of Melanoma Antigen Family Gene (MAGE)

Submit a Paper



Publication Date: 24 Nov 2009

Type: Hypothesis

Journal: Cancer Informatics

Citation: Cancer Informatics 2009:7 171-181

Abstract

Melanoma antigen family (MAGE) genes are widely expressed in various tumor types but silent in normal cells except germ-line cells lacking human leukocyte antigen (HLA) expression. Over 25 MAGE genes have been identified in different tissues, mostly located in Xq28 of human chromosome and some of them in chromosome 3 and 15, containing either single or multiple-exons. This in silico study predicted the genes on hTERT location and identified a distant relative of MAGE gene located on chromosome 5. The study identified a single exon coding ∼850 residues polypeptide sharing ∼30% homology with Macfa-MAGE E1 and hMAGE-E1. dbEST search of the predicted transcript matches 5' and 3' flanking ESTs. The predicted protein showed sequence homology within the MAGE homology domain 2 (MHD2). UCSC genome annotation of CpG Island around the coding region reveals that this gene could be silent by methylation. Affymetrix all-exon track indicates the gene could be expressed in different tissues particularly in cancer cells as they widely undergo a genome wide demethylation process.


Downloads

PDF  (7.79 MB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

Supplementary Files 1  (99.74 KB ZIP FORMAT)

BibTex citation   (BIBDESK, LATEX)

XML




Our Service Promise

  • Prompt Processing (3 Weeks to Editorial Decision)
  • Fair, Independent Peer Review
  • High Visibility & Extensive Indexing
What Your Colleagues Say About Cancer Informatics
Cancer Informatics has become an increasingly important source for research in the methodology of cancer genomics and the novel use of informatics technology. I have been impressed by the journal's contents and have been very gratified by the number of accesses to my recent publication. Cancer Informatics has filled an important gap in cancer research journals.
Dr Richard Simon (Chief, Biometric Research Branch, National Cancer Institute, USA )
More Testimonials

Quick Links




Follow Us We make it easy to find new research papers.




SUBJECT HUBS
Author Survey Results
author_survey_results
All authors are surveyed after their articles are published. Authors are asked to rate their experience in a variety of areas, and their responses help us to monitor our performance. Presented here are their responses in some key areas. No 'poor' or 'very poor' responses were received; these are represented in the 'other' category.
See Our Results