Highly Conserved, Large, Non-Coding Transcripts and Their Role in the Development of Breast Cancer

Abstract

The sequencing of the human genome has revealed that only 2% of the genome actually codes for protein. However, the remainder of the genome is not junk and it has recently been revealed that most of the genome is transcriptionally active. We utilized a tiling array approach to examine the entire genome for transcriptional activity and found a large number of non-coding transcripts. When we originally proposed the work in this Concept Award, we were proposing to study a group of long, highly conserved, non-coding transcripts which had altered expression and sometimes mutations in breast cancer. We have subsequently found that many of these highly conserved transcripts are either part of known genes or highly homologous to known genes. However, we ve now identified two new groups of novel non-coding transcripts which are not part of genes. The first group are non-coding transcripts that have increased expression in response to the DNA damage induced by the carcinogen NNK. The second group were identified by analyzing breast cancer cell lines with tiling arrays searching for non-coding transcripts that had consistently altered expression. We have requested and obtained a no-cost extension for this work and will begin to characterize these transcripts exactly as proposed in our original Concept Award to determine the role they play in the development of breast cancer.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2008
Accession Number
ADA493371

Entities

People

  • David I. Smith

Organizations

  • Mayo Clinic

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Carcinogens
  • Cell Line
  • Cells
  • Chromosomes
  • Coding
  • Department Of Defense
  • Dna Sequence Analysis
  • Epithelial Cells
  • Genome
  • Human Genome
  • Neoplasms
  • Sequence Analysis
  • Tissues

Fields of Study

  • Biology

Readers

  • Molecular Genetics
  • Molecular and genetic basis of cancer.