Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/36432
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Llorens Torres, Franc | - |
dc.contributor.author | Hummel, Manuela | - |
dc.contributor.author | Pastor Durán, Xavier | - |
dc.contributor.author | Ferrer, Anna | - |
dc.contributor.author | Pluvinet Ortega, Raquel | - |
dc.contributor.author | Vivancos, Ana | - |
dc.contributor.author | Castillo, Ester | - |
dc.contributor.author | Iraola Guzmán, Susana | - |
dc.contributor.author | Mosquera, Ana M. | - |
dc.contributor.author | González Barca, Eva | - |
dc.contributor.author | Lozano Salvatella, Juan José | - |
dc.contributor.author | Ingham, Matthew | - |
dc.contributor.author | Dohm, Juliane C. | - |
dc.contributor.author | Noguera, Marc | - |
dc.contributor.author | Kofler, Robert | - |
dc.contributor.author | Río Fernández, José Antonio del | - |
dc.contributor.author | Bayés Colomer, Mònica | - |
dc.contributor.author | Himmelbauer, Heinz | - |
dc.contributor.author | Sumoy, Lauro | - |
dc.date.accessioned | 2013-04-30T14:00:16Z | - |
dc.date.available | 2013-04-30T14:00:16Z | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 1471-2164 | - |
dc.identifier.uri | http://hdl.handle.net/2445/36432 | - |
dc.description.abstract | Abstract Background: Epidermal Growth Factor (EGF) is a key regulatory growth factor activating many processes relevant to normal development and disease, affecting cell proliferation and survival. Here we use a combined approach to study the EGF dependent transcriptome of HeLa cells by using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer. Results: By applying a procedure for cross-platform data meta-analysis based on RankProd and GlobalAncova tests, we establish a well validated gene set with transcript levels altered after EGF treatment. We use this robust gene list to build higher order networks of gene interaction by interconnecting associated networks, supporting and extending the important role of the EGF signaling pathway in cancer. In addition, we find an entirely new set of genes previously unrelated to the currently accepted EGF associated cellular functions. Conclusions: We propose that the use of global genomic cross-validation derived from high content technologies (microarrays or deep sequencing) can be used to generate more reliable datasets. This approach should help to improve the confidence of downstream in silico functional inference analyses based on high content data. | - |
dc.format.extent | 19 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | BioMed Central | - |
dc.relation.isformatof | Reproducció del document publicat a: http://www.biomedcentral.com/1471-2164/12/326 | - |
dc.relation.ispartof | Bmc Genomics, 2011, vol. 12, p. 326-330 | - |
dc.rights | cc-by (c) Llorens, Franc et al., 2011 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es | - |
dc.source | Articles publicats en revistes (Biologia Cel·lular, Fisiologia i Immunologia) | - |
dc.subject.classification | Factor de creixement epidèrmic | - |
dc.subject.classification | Genètica humana | - |
dc.subject.classification | Microxips d'ADN | - |
dc.subject.other | Epidermal growth factor | - |
dc.subject.other | Human genetics | - |
dc.subject.other | DNA microarrays | - |
dc.title | Multiple platform assessmant of the EGF dependent transcritpome by microarrays and deep TAG sequencing analysis | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 612826 | - |
dc.date.updated | 2013-04-30T14:00:16Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Biologia Cel·lular, Fisiologia i Immunologia) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
612826.pdf | 2.52 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License