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Review
. 2010 Feb;152(2):402-10.
doi: 10.1104/pp.109.150433. Epub 2009 Dec 11.

Gene expression analysis, proteomics, and network discovery

Affiliations
Review

Gene expression analysis, proteomics, and network discovery

Sacha Baginsky et al. Plant Physiol. 2010 Feb.
No abstract available

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Figures

Figure 1.
Figure 1.
Relationships between supracellular components (biological systems), intracellular components, and the function and behavior of these components are revealed by the interaction of individual components. Systems biological approaches aim at modeling these interactions to find primary relationships and to distinguish causality and effect. The understanding of how these interactions are regulated allows making predictions on function, behavior, and survival.
Figure 2.
Figure 2.
Correlation analysis of transcript and protein abundance in Arabidopsis leaves based on 345 genes from various primary and secondary metabolism pathways. Transcript abundance was calculated as a representative expression vector derived from multiple Affymetrix ATH1 array measurements from leaf samples (data from Genevestigator, Hruz et al., 2008). The proteome data was obtained from distinct leaf samples. Approximately 20% of these genes/proteins had ratios of protein to transcript abundance deviating strongly from 1.

References

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