title: MACE: mutation-oriented profiling of chemical response and gene expression in cancers.
abstract: CONCLUSIONS
  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.
  
  
  METHODS
  The MACE web database is available at http://mace.sookmyung.ac.kr/.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
  
  
  BACKGROUND
  yoonsj@sookmyung.ac.kr.
authors.affiliation: Center for Advanced Bioinformatics and Systems Medicine and Department of Biological Sciences, Sookmyung Women's University, Seoul 140-742, Republic of Korea.
authors.forename: Euna
authors.initials: E
authors.lastname: Jeong
authors.affiliation: Center for Advanced Bioinformatics and Systems Medicine and Department of Biological Sciences, Sookmyung Women's University, Seoul 140-742, Republic of Korea.
authors.forename: Ningning
authors.initials: N
authors.lastname: He
authors.affiliation: Center for Advanced Bioinformatics and Systems Medicine and Department of Biological Sciences, Sookmyung Women's University, Seoul 140-742, Republic of Korea.
authors.forename: Hyerin
authors.initials: H
authors.lastname: Park
authors.affiliation: Center for Advanced Bioinformatics and Systems Medicine and Department of Biological Sciences, Sookmyung Women's University, Seoul 140-742, Republic of Korea.
authors.forename: Mee
authors.initials: M
authors.lastname: Song
authors.affiliation: Center for Advanced Bioinformatics and Systems Medicine and Department of Biological Sciences, Sookmyung Women's University, Seoul 140-742, Republic of Korea.
authors.forename: Nayoung
authors.initials: N
authors.lastname: Kim
authors.affiliation: Center for Advanced Bioinformatics and Systems Medicine and Department of Biological Sciences, Sookmyung Women's University, Seoul 140-742, Republic of Korea.
authors.forename: Seongjoon
authors.initials: S
authors.lastname: Lee
authors.affiliation: Center for Advanced Bioinformatics and Systems Medicine and Department of Biological Sciences, Sookmyung Women's University, Seoul 140-742, Republic of Korea Center for Advanced Bioinformatics and Systems Medicine and Department of Biological Sciences, Sookmyung Women's University, Seoul 140-742, Republic of Korea.
authors.forename: Sukjoon
authors.initials: S
authors.lastname: Yoon
mesh_terms: D000970:Antineoplastic Agents / Q000494:pharmacology*; D045744:Cell Line, Tumor; D062126:Databases, Chemical; D020869:Gene Expression Profiling; D006801:Humans; D009154:Mutation; D009369:Neoplasms / Q000235:genetics* / Q000378:metabolism; D020411:Oligonucleotide Array Sequence Analysis; D059467:Transcriptome / Q000187:drug effects*
chemical_list: D000970:Antineoplastic Agents