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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...

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Isolation and Flow Cytometric Analysis of Human Endocervical Gamma Delta T Cells
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Comprehensive serial analysis of gene expression of the cervical transcriptome.

Ashleen Shadeo1, Raj Chari, Greg Vatcher

  • 1Cancer Genetics & Developmental Biology, British Columbia Cancer Research Centre, Vancouver, BC, Canada. ashadeo@bccrc.ca

BMC Genomics
|June 5, 2007
PubMed
Summary

Researchers established a gene expression baseline for normal cervical tissue, identifying key genes and HPV 16 tags in precancerous lesions (CIN III). This aids in understanding early cervical cancer development.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Oncology

Background:

  • Cervical cancer affects over 500,000 women globally, with high mortality.
  • Understanding gene expression in precancerous lesions is crucial for early detection.
  • A baseline of normal cervical tissue gene expression is needed to identify disease-related changes.

Purpose of the Study:

  • To establish a baseline of gene expression in normal cervical tissue.
  • To compare gene expression in normal tissue with cervical intraepithelial neoplasia grade III (CIN III).
  • To identify genes with aberrant expression in CIN III and investigate HPV 16 presence.

Main Methods:

  • Utilized Long Serial Analysis of Gene Expression (L-SAGE) to analyze normal cervical tissue.
  • Sequenced 691,390 tags from four L-SAGE libraries.
  • Compared gene expression profiles of normal tissue with CIN III samples.

Main Results:

  • Identified 118 unique highly expressed tags in normal cervical tissue, mapping to ribosomal, calcium-binding, and keratinizing genes.
  • Found five genes with significantly altered expression in CIN III compared to normal tissue.
  • Detected twelve unique HPV 16 SAGE tags in CIN III libraries, absent in normal tissue.

Conclusions:

  • Established a critical gene expression baseline for normal cervical tissue.
  • Demonstrated the utility of this baseline in identifying aberrant gene expression in CIN III.
  • Provided insights into the molecular differences between normal and precancerous cervical tissue.