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Subtractive hybridization techniques to study cellular senescence.

Michal Bassani Sternberg1, Shimon Gepstein

  • 1Faculty of Biology, Technion, Isreal Institute of Technology, Haifa, Isreal.

Methods in Molecular Biology (Clifton, N.J.)
|July 20, 2007
PubMed
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Suppression subtractive hybridization (SSH) effectively identifies genes involved in plant cellular senescence. This method generates a subtracted complementary DNA (cDNA) library to reveal differential gene expression during aging.

Area of Science:

  • Molecular Biology
  • Plant Science
  • Gene Expression Analysis

Background:

  • Cellular senescence involves complex molecular and cellular processes regulated by differential gene expression.
  • Identifying genes that change expression during senescence is crucial for understanding the aging process in plants.

Purpose of the Study:

  • To apply suppression subtractive hybridization (SSH) for generating a subtracted complementary DNA (cDNA) library from senescing plant leaves.
  • To demonstrate the utility of SSH for the global identification of differentially expressed genes during plant cellular senescence.

Main Methods:

  • Suppression subtractive hybridization (SSH) was employed to isolate genes with altered expression in senescing leaves.
  • The SSH method involves two key stages: normalization of cDNA abundance and subtraction of common sequences.

Related Experiment Videos

  • A subtracted cDNA library was constructed from senescing plant cells.

    • Main Results:

    • The SSH method successfully generated a subtracted cDNA library from senescing plant leaves.
    • The library contained a high number of both rare and abundant cDNA clones.
    • This indicates the effectiveness of SSH in capturing differentially expressed genes.

    Conclusions:

    • Suppression subtractive hybridization (SSH) is a powerful and applicable technique for identifying differentially expressed genes during plant cellular senescence.
    • The successful generation of the subtracted cDNA library validates SSH's capability for comprehensive gene discovery in senescence research.