Mutation-oriented analysis of chemical response and gene expression in cancer cell lines
MACE provides interactive tools for a huge amount of chemical response and gene expression data on cancer cell lines. Individual GI50 data of chemicals against NCI60 cell lines were normalized and organized to statistically identify mutation- or lineage-specific chemical response. Likewise, DNA microarray data on NCI60 cell lines were processed to analyze mutation- or lineage-specific expression signatures.
*Current MACE includes totals of 50,839 chemicals (48,616 structures) and 54,613 gene probes data.
Search chemical response profile

Ex) 741078

Ex) 98-77-1

2D or 3D structure search


Similarity Substructure Superstructure
Search gene expression profile
Ex)1555505_a_at

Ex) TYR
Find category-specific chemical response or gene expression

fold change p <

log2(fold change) p <


Cell line information

Ex) A549

Ex) Lung, STK11, etc


References
(Please cite the following papers when publishing your work using MACE.)
  1. MACE: Mutation-oriented profiling of chemical response and gene expression in cancers. Euna Jeong*, Ningning He*, Hyerin Park, Mee Song, Nayoung Kim, Seongjoon Lee and Sukjoon Yoon. Bioinformatics accepted (2014) (* co-first authors)

  2. 3D shape-based analysis of cell line-specific compound response in cancers. Ningning He, Xiaoqi Wang, Nayoung Kim, Jong-Seok Lim and Sukjoon Yoon. Journal of Molecular Graphics and Modelling 43:41-46, (2013)

  3. Somatic mutation patterns and compound response in cancers. Ningning He, Nayoung Kim and Sukjoon Yoon. BMB Reports 46(2):97-102, (2013)

  4. Systematic analysis of genotype-specific drug responses in cancer. Nayoung Kim, Ningning He, Changsik Kim, Fan Zhang, Yiling Lu, Qinghua Yu, Katherine Hale, Joel Greshock, Richard Wooster, Sukjoon Yoon and Gordon B Mills. International Journal of Cancer 131(10):2456-2464, (2012)

Last update: July 2017