PXD002877
PXD002877 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Transcriptome and proteome derived networks reveal distinct and complementary gene relationships - additional phosphoproteomics data |
Description | Co-expression networks and gene regulatory networks (GRNs) are emerging as important tools for predicting the functional roles of individual genes at a system-wide scale. To enable network reconstructions we built a large-scale gene expression atlas comprised of 62,547 mRNAs, 17,862 non-modified proteins, and 6,227 phosphoproteins harboring 31,595 phosphorylation sites quantified across maize development. There was little edge conservation in co-expression and GRNs reconstructed using transcriptome versus proteome data yet networks from either data type were enriched in ontological categories and effective in predicting known regulatory relationships. This integrated gene expression atlas provides a valuable community resource. The networks should facilitate plant biology research and they provide a conceptual framework for future systems biology studies highlighting the importance of studying gene regulation at several levels. |
HostingRepository | MassIVE |
AnnounceDate | 2016-09-12 |
AnnouncementXML | Submission_2016-09-12_10:07:42.xml |
DigitalObjectIdentifier | |
ReviewLevel | Non peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | zhouxin shen |
SpeciesList | scientific name: Zea mays; NCBI TaxID: 4577; |
ModificationList | Phospho |
Instrument | LTQ Velos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2015-09-08 10:24:10 | ID requested | |
⏵ 1 | 2016-09-12 10:07:43 | announced |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: gene regulatory network, Maize, phosphoproteomics, proteomics, RNA-seq, co-expression network |
Contact List
Steven P. Briggs | |
---|---|
lab head | |
zhouxin shen | |
contact affiliation | UCSD |
contact email | z1shen@ucsd.edu |
dataset submitter |
Full Dataset Link List
MassIVE dataset URI |
Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive.ucsd.edu/MSV000079303 |