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A database of protein expression in lung cancer
Author(s) -
Oh Jane M. C.,
Brichory Franck,
Puravs Eric,
Kuick Rork,
Wood Chris,
Rouillard Jean Marie,
Tra John,
Kardia Sharon,
Beer David,
Hanash Samir
Publication year - 2001
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/1615-9861(200110)1:10<1303::aid-prot1303>3.0.co;2-2
Subject(s) - lung cancer , identification (biology) , computational biology , cancer , gene , rna , gene expression , biology , database , proteomics , dna microarray , protein expression , microarray , bioinformatics , computer science , genetics , medicine , oncology , botany
We have developed a comprehensive approach to identifying molecular changes in lung cancer that includes both genomic and proteomic analyses. The related effort has produced a large amount of data pertaining to gene expression at the RNA and protein levels. As a result, we have constructed a database that contains protein expression data on lung cancer as well as other relevant data including DNA microarray derived data. A large number of proteins that are expressed in different types of lung cancer have been identified and have been correlated with the expression measures for their corresponding genes at the RNA level. The database is intended to facilitate our effort at developing novel classification schemes for lung cancer and the identification of novel markers for early diagnosis.