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Cell Specific Gene Expression01:58

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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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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

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Published on: June 17, 2012

Challenges in plant cellular pathway reconstruction based on gene expression profiling.

Peter van Baarlen1, H Peter van Esse, Roland J Siezen

  • 1Nijmegen Centre for Molecular Life Sciences, UMC Radboud University, Geert Grooteplein 26-28, 6525 GA Nijmegen, the Netherlands.

Trends in Plant Science
|December 25, 2007
PubMed
Summary
This summary is machine-generated.

This study evaluates in silico tools for reconstructing plant cellular pathways from gene expression data. These tools aid in understanding plant cell biology and generating new research hypotheses.

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Area of Science:

  • Plant biology
  • Bioinformatics
  • Systems biology

Background:

  • Microarrays provide global transcriptional insights but interpreting plant data is challenging due to unknown gene functions and lack of homologs.
  • Numerous in silico tools have been developed to aid plant scientists in analyzing complex biological data.

Purpose of the Study:

  • To evaluate available in silico tools for reconstructing cellular pathways (metabolic, biochemical, signal transduction) from plant gene expression datasets.
  • To demonstrate how pathway-level expression profile comparison can generate novel, experimentally verifiable hypotheses.

Main Methods:

  • Systematic evaluation of existing in silico tools for pathway reconstruction.
  • Analysis of plant gene expression datasets using selected tools.
  • Comparison of expression profiles at the cellular pathway level.

Main Results:

  • Identification of effective in silico tools for plant pathway reconstruction.
  • Demonstration of pathway-based analysis for hypothesis generation.
  • Highlighting the utility of comparative expression profiling for uncovering cellular process elements.

Conclusions:

  • In silico tools are valuable for interpreting plant gene expression data and reconstructing cellular pathways.
  • Pathway-level analysis facilitates the generation of novel hypotheses in plant systems biology.
  • Experimental verification of hypotheses derived from pathway analysis provides deeper insights into cellular processes.