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MACE: mutation-oriented profiling of chemical response and gene expression in cancersopen access

Authors
Jeong, EunaHe, NingningPark, HyerinSong, MeeKim, NayoungLee, SeongjoonYoon, Sukjoon
Issue Date
May-2015
Publisher
OXFORD UNIV PRESS
Citation
BIOINFORMATICS, v.31, no.9, pp 1508 - 1514
Pages
7
Journal Title
BIOINFORMATICS
Volume
31
Number
9
Start Page
1508
End Page
1514
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/10535
DOI
10.1093/bioinformatics/btu835
ISSN
1367-4803
1460-2059
Abstract
A Summary: The mutational status of specific cancer lineages can affect the sensitivity to or resistance against cancer drugs. The MACE database provides web-based interactive tools for interpreting large chemical screening and gene expression datasets of cancer cell lines in terms of mutation and lineage categories. GI50 data of chemicals against individual NCI60 cell lines were normalized and organized to statistically identify mutation- or lineage-specific chemical responses. Similarly, DNA microarray data on NCI60 cell lines were processed to analyze mutation- or lineage-specific gene expression signatures. A combined analysis of GI50 and gene expression data to find potential associations between chemicals and genes is also a capability of this system. This database will provide extensive, systematic information to identify lineage- or mutation-specific anticancer agents and related gene targets.
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