Linked Life Data

18948079

Source:http://linkedlifedata.com/resource/pubmed/id/18948079

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-11-14
pubmed:abstractText
Terminal differentiation of skin keratinocytes is a vertically directed multi-step process that is tightly controlled by the sequential expression of a variety of genes. We previously investigated the gene expression profile and found that many of differentiation-related genes expressed in a temporally regulated manner. In this study, we attempted to find the hub-molecules and their intracellular signaling networks during keratinocyte differentiation using in silico analysis of data obtained from previous studies. We used protein-protein interaction prediction software called PSIMAP, and drew a hypothetical signaling network. We chose one candidate hub-molecule SHC1 that were predicted to link EGFR and MAPK signal, and then evaluated the protein-protein interactions experimentally. As predicted, SHC1 bound to the MEK1 in an EGF-regulated manner. Furthermore, SHC1 bound to the MEK1 and p38 MAPK in a keratinocyte differentiation dependent manner. These results demonstrate that in silico protein-protein interaction prediction system can be used to efficiently and cost-effectively select the experimental candidates.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1090-2104
pubmed:author
pubmed:issnType
Electronic
pubmed:day
12
pubmed:volume
377
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
662-7
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Prediction and evaluation of protein-protein interaction in keratinocyte differentiation.
pubmed:affiliation
Department of Dermatology and Research Institute for Medical Sciences, School of Medicine, Chungnam National University, 55 Munhwa-ro, Daejeon 301-747, Republic of Korea.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't