Integration of omic networks in a developmental atlas of maize

Author:

Walley Justin W.12,Sartor Ryan C.1,Shen Zhouxin1,Schmitz Robert J.34,Wu Kevin J.1,Urich Mark A.34,Nery Joseph R.4,Smith Laurie G.1,Schnable James C.5,Ecker Joseph. R.346,Briggs Steven P.1

Affiliation:

1. Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.

2. Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA 50011, USA.

3. Plant Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.

4. Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.

5. Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE 68583, USA.

6. Howard Hughes Medical Institute, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA.

Abstract

Patterns of development regulation within tissues Expression of a given gene at the RNA level does not always correlate with expression at the protein level for many organisms. Walley et al. have built an integrated atlas of gene expression and regulatory networks in developing maize, using the same tissue samples to measure the transcriptome, proteome, and phosphoproteome. Coexpression networks from the transcriptome and proteome showed little overlap with each other, even though they showed enrichment of similar pathways. Integration of mRNA, protein, and phosphoprotein data sets improved the predictive power of the gene regulatory networks. Science , this issue p. 814

Funder

NSF

NIH National Research Service Award Postdoctoral Fellowship

Howard Hughes Medical Institute

Gordon and Betty Moore Foundation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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