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Related Experiment Videos

Large-scale analysis of the human and mouse transcriptomes.

Andrew I Su1, Michael P Cooke, Keith A Ching

  • 1Department of Chemistry, The Scripps Research Institute, La Jolla, CA 92037, USA.

Proceedings of the National Academy of Sciences of the United States of America
|March 21, 2002
PubMed
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This study presents a comprehensive gene expression dataset from 91 normal human and mouse samples. The data offers insights into the mammalian transcriptome and aids in understanding gene function and disease.

Area of Science:

  • Genomics
  • Transcriptomics
  • Bioinformatics

Background:

  • High-throughput gene expression profiling is crucial for studying transcriptional activity.
  • Previous studies often focused on specific biological processes or perturbations.

Purpose of the Study:

  • To generate and analyze a broad gene expression dataset from normal mammalian samples.
  • To provide a resource for understanding the normal mammalian transcriptome.
  • To illustrate data mining methods and reveal biological insights.

Main Methods:

  • Generated and analyzed gene expression data from 91 human and mouse samples.
  • Included diverse tissues, organs, and cell lines representing normal physiological states.
  • Developed a publicly accessible website for data access and visualization.

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Main Results:

  • Created a substantial dataset describing the normal mammalian transcriptome.
  • Demonstrated methods for mining gene expression data.
  • Revealed insights into gene function, transcriptional regulation, disease, and comparative genomics.

Conclusions:

  • The generated dataset serves as a valuable resource for the scientific community.
  • Public accessibility of the data facilitates further research in various biological fields.
  • The findings contribute to a deeper understanding of mammalian gene expression and its implications.