The role of EGF/EGFR dynamic interaction networks has been studied recently with either computational approaches [ 43], or by integration of molecular profiling, database and literature mining, mechanistic modeling, and cell culture experiments, demonstrating that EGF (among other growth factors) plays an important role in communication networks regulating blood stem cell fate decisions [ 44].
These morphological phenotypes are consistent with the molecular profile of gene set enrichment using GO and KEGG pathway databases.
Annotations for each project, along with associated metadata on the samples and datasets, are stored in a MySQL database and linked to the molecular profile data.
CellMiner is a relational database tool for storing, querying, integrating, and downloading molecular profile data on the NCI-60 and other cancer cell types.
11, DP11 A14 Molecular profile no. 12, DP12 A15 Molecular profile no.
13, DP13 A16 Molecular profile no.
The objective of the present project is to create a manually annotated database where the relevant data are gathered in a formal representation that can be computationally analyzed for the identification of therapeutic hypotheses based on the available evidence and for ranking treatments based on the molecular profile of single patients.
One recently available molecular profile is BluePrint.
However, with many more samples coming to be analysed in the MGC, and thereby increasing the reference database of molecular profiles, the third (combined) option appears to be adequate and is currently being tested.
The database of molecular profiles keeps growing with every new sample passing through the analytical pipeline, resulting in stepwise improvement in the grouping, and consequently increasing the chance of finding an exact match for unknown samples.
