Expression Profiling of Tyrosine Kinase Genes

Abstract

The expression of genes involved in signal transduction (e.g. protein kinases) is often altered in tumors. The aberrant expression of several of these genes typically parallels the progression toward a more malignant phenotype. We developed a cDNA micro-array based screening system to measure the level of expression of tyrosine kinase (tk) genes. The hardware for preparation of cDNA micro-arrays and basic protocols for hybridization were developed in the first year. In the second year, we finished isolating RNA and cDNA synthesis from 16 breast cancer cell lines and 10 frozen tissues. We optimized protocols for tk-specific PCR amplification and cloning. We continued our DNA sequencing effort and added additional targets to our micro-arrays. Using well-characterized breast cancer cell lines, the system delivered reproducible results about tk gene expression during cell transformation and progression toward a more malignant phenotype. Comparing the absolute expression levels from cDNA micro-arrays with data from Northern blot analyses suggested that our initial approach using mixed-based oligonucleotide primers led to lowered representation of highly abundant transcripts. This problem has been addressed with a new oligonucleotide primer design based on known gene sequences and a two step DNA amplification protocol that now allows to investigate the tk gene expression in small tissue samples.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2003
Accession Number
ADA423672

Entities

People

  • Heinz-ulrich Weier

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Amino Acids
  • Amplification
  • Biomedical Research
  • Breast Cancer
  • Cell Line
  • Cell Physiological Processes
  • Cells
  • Dna Microarrays
  • Gene Expression
  • Genes
  • Genetic Structures
  • Genetics
  • Medical Personnel
  • Neoplasms
  • Phenotypes
  • Prostate Cancer
  • Spreadsheet Software

Fields of Study

  • Biology

Readers

  • Molecular Biology and Genetics
  • Molecular Genetics
  • Oncology and Biomarker-Based Cancer Detection.