TY - JOUR
T1 - Integrated functional networks of process, tissue, and developmental stage specific interactions in Arabidopsis thaliana
AU - Pop, Ana
AU - Huttenhower, Curtis
AU - Iyer-Pascuzzi, Anjali
AU - Benfey, Philip N.
AU - Troyanskaya, Olga G.
N1 - Funding Information:
The authors would like to thank the other members of the Troyanskaya lab for valuable feedback. This work was supported by NSF CAREER award DBI-0546275; NIH grants R01 GM071966 and T32 HG003284; and NIGMS Center of Excellence grant P50 GM071508.
PY - 2010/12/31
Y1 - 2010/12/31
N2 - Background: Recent years have seen an explosion in plant genomics, as the difficulties inherent in sequencing and functionally analyzing these biologically and economically significant organisms have been overcome. Arabidopsis thaliana, a versatile model organism, represents an opportunity to evaluate the predictive power of biological network inference for plant functional genomics.Results: Here, we provide a compendium of functional relationship networks for Arabidopsis thaliana leveraging data integration based on over 60 microarray, physical and genetic interaction, and literature curation datasets. These include tissue, biological process, and development stage specific networks, each predicting relationships specific to an individual biological context. These biological networks enable the rapid investigation of uncharacterized genes in specific tissues and developmental stages of interest and summarize a very large collection of A. thaliana data for biological examination. We found validation in the literature for many of our predicted networks, including those involved in disease resistance, root hair patterning, and auxin homeostasis.Conclusions: These context-specific networks demonstrate that highly specific biological hypotheses can be generated for a diversity of individual processes, developmental stages, and plant tissues in A. thaliana. All predicted functional networks are available online at http://function.princeton.edu/arathGraphle.
AB - Background: Recent years have seen an explosion in plant genomics, as the difficulties inherent in sequencing and functionally analyzing these biologically and economically significant organisms have been overcome. Arabidopsis thaliana, a versatile model organism, represents an opportunity to evaluate the predictive power of biological network inference for plant functional genomics.Results: Here, we provide a compendium of functional relationship networks for Arabidopsis thaliana leveraging data integration based on over 60 microarray, physical and genetic interaction, and literature curation datasets. These include tissue, biological process, and development stage specific networks, each predicting relationships specific to an individual biological context. These biological networks enable the rapid investigation of uncharacterized genes in specific tissues and developmental stages of interest and summarize a very large collection of A. thaliana data for biological examination. We found validation in the literature for many of our predicted networks, including those involved in disease resistance, root hair patterning, and auxin homeostasis.Conclusions: These context-specific networks demonstrate that highly specific biological hypotheses can be generated for a diversity of individual processes, developmental stages, and plant tissues in A. thaliana. All predicted functional networks are available online at http://function.princeton.edu/arathGraphle.
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U2 - 10.1186/1752-0509-4-180
DO - 10.1186/1752-0509-4-180
M3 - Article
C2 - 21194434
AN - SCOPUS:78650647272
SN - 1752-0509
VL - 4
JO - BMC Systems Biology
JF - BMC Systems Biology
M1 - 180
ER -