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Tissue gene expression analysis using arrayed normalized cDNA libraries.

H Eickhoff1, J Schuchhardt, I Ivanov

  • 1Max-Planck-Institut für Molekulare Genetik, 14195 Berlin, Germany. eickhoff@molgen.mpg.de

Genome Research
|August 25, 2000
PubMed
Summary
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Researchers created a normalized mouse gene expression dataset from 5,376 complementary DNA (cDNA) clones. This digital resource reveals tissue-specific gene expression profiles for mouse embryonic development and adult tissues.

Area of Science:

  • * Genomics
  • * Molecular Biology
  • * Bioinformatics

Background:

  • * Gene expression analysis is crucial for understanding biological processes.
  • * Large-scale complementary DNA (cDNA) libraries are valuable resources for transcriptomic studies.
  • * Normalization of cDNA libraries is essential for accurate gene expression profiling.

Purpose of the Study:

  • * To establish a normalized complementary DNA (cDNA) clone set from mouse embryonic stages.
  • * To create a digital gene expression reference for mouse tissues.
  • * To identify tissue-specific gene expression patterns.

Main Methods:

  • * Oligonucleotide fingerprinting of 60,000 cDNA clones.
  • * Polymerase chain reaction (PCR) amplification and array generation.

Related Experiment Videos

  • * Hybridization with mRNA probes from six adult mouse tissues.
  • * Hierarchical clustering for expression profile analysis.
  • * Radioactive detection for sensitivity and robustness.

    • Main Results:

    • * A normalized set of 5,376 cDNA clones representing distinct genes was established.
    • * Tissue-specific expression profiles were identified using clustering algorithms.
    • * Genes specifically expressed in investigated adult mouse tissues were detected.

    Conclusions:

    • * The normalized cDNA clone set provides a valuable digital expression reference.
    • * The study successfully identified tissue-specific gene expression patterns in mice.
    • * Publicly available data facilitates further research in mouse genomics and transcriptomics.