EXpression2Kinases (X2K) Web: linking expression signatures to upstream cell signaling networks. Issue Volume 46:Issue W1(2018) (25th May 2018)
- Record Type:
- Journal Article
- Title:
- EXpression2Kinases (X2K) Web: linking expression signatures to upstream cell signaling networks. Issue Volume 46:Issue W1(2018) (25th May 2018)
- Main Title:
- EXpression2Kinases (X2K) Web: linking expression signatures to upstream cell signaling networks
- Authors:
- Clarke, Daniel J B
Kuleshov, Maxim V
Schilder, Brian M
Torre, Denis
Duffy, Mary E
Keenan, Alexandra B
Lachmann, Alexander
Feldmann, Axel S
Gundersen, Gregory W
Silverstein, Moshe C
Wang, Zichen
Ma'ayan, Avi - Abstract:
- Abstract: While gene expression data at the mRNA level can be globally and accurately measured, profiling the activity of cell signaling pathways is currently much more difficult. eXpression2Kinases (X2K) computationally predicts involvement of upstream cell signaling pathways, given a signature of differentially expressed genes. X2K first computes enrichment for transcription factors likely to regulate the expression of the differentially expressed genes. The next step of X2K connects these enriched transcription factors through known protein–protein interactions (PPIs) to construct a subnetwork. The final step performs kinase enrichment analysis on the members of the subnetwork. X2K Web is a new implementation of the original eXpression2Kinases algorithm with important enhancements. X2K Web includes many new transcription factor and kinase libraries, and PPI networks. For demonstration, thousands of gene expression signatures induced by kinase inhibitors, applied to six breast cancer cell lines, are provided for fetching directly into X2K Web. The results are displayed as interactive downloadable vector graphic network images and bar graphs. Benchmarking various settings via random permutations enabled the identification of an optimal set of parameters to be used as the default settings in X2K Web. X2K Web is freely available from http://X2K.cloud .
- Is Part Of:
- Nucleic acids research. Volume 46:Issue W1(2018)
- Journal:
- Nucleic acids research
- Issue:
- Volume 46:Issue W1(2018)
- Issue Display:
- Volume 46, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 46
- Issue:
- 1
- Issue Sort Value:
- 2018-0046-0001-0000
- Page Start:
- W171
- Page End:
- W179
- Publication Date:
- 2018-05-25
- Subjects:
- Nucleic acids -- Periodicals
Molecular biology -- Periodicals
572.805 - Journal URLs:
- http://nar.oxfordjournals.org/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/4 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/nar/gky458 ↗
- Languages:
- English
- ISSNs:
- 0305-1048
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6183.850000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12256.xml