2015
Huang, P. -J.; Lee, C. -C.; Tan, B. C. -M.; Yeh, Y. -M.; Chu, L. J.; Chen, T. -W.; Chang, K. -P.; Lee, C. -Y.; Gan, R. -C.; Liu, H.; Tang, P.
CMPD: Cancer mutant proteome database Journal Article
In: Nucleic Acids Research, 43 (D1), pp. D849-D855, 2015, ISSN: 03051048, (cited By 7).
Abstract | Links | BibTeX | 標籤: Cell Line, mutant protein; proteome; tumor protein, Protein; Humans; Internet; Mutant Proteins; Mutation; Neoplasm Proteins; Neoplasms; Proteome, Tumor; Databases
@article{Huang2015D849,
title = {CMPD: Cancer mutant proteome database},
author = {P. -J. Huang and C. -C. Lee and B. C. -M. Tan and Y. -M. Yeh and L. J. Chu and T. -W. Chen and K. -P. Chang and C. -Y. Lee and R. -C. Gan and H. Liu and P. Tang},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946093959&doi=10.1093%2fnar%2fgku1182&partnerID=40&md5=e9f054780369a9855f45e1efd21754bf},
doi = {10.1093/nar/gku1182},
issn = {03051048},
year = {2015},
date = {2015-01-01},
journal = {Nucleic Acids Research},
volume = {43},
number = {D1},
pages = {D849-D855},
publisher = {Oxford University Press},
abstract = {Whole-exome sequencing, which centres on the protein coding regions of disease/cancer associated genes, represents the most cost-effective method to-date for deciphering the association between genetic alterations and diseases. Large-scale whole exome/genome sequencing projects have been launched by various institutions, such as NCI, Broad Institute and TCGA, to provide a comprehensive catalogue of coding variants in diverse tissue samples and cell lines. Further functional and clinical interrogation of these sequence variations must rely on extensive cross-platforms integration of sequencing information and a proteome database that explicitly and comprehensively archives the corresponding mutated peptide sequences. While such data resource is a critical for the mass spectrometrybased proteomic analysis of exomic variants, no database is currently available for the collection of mutant protein sequences that correspond to recent large-scale genomic data. To address this issue and serve as bridge to integrate genomic and proteomics datasets, CMPD (http://cgbc.cgu.edu.tw/cmpd) collected over 2 millions genetic alterations, which not only facilitates the confirmation and examination of potential cancer biomarkers but also provides an invaluable resource for translational medicine research and opportunities to identify mutated proteins encoded by mutated genes. © The Author(s) 2014.},
note = {cited By 7},
keywords = {Cell Line, mutant protein; proteome; tumor protein, Protein; Humans; Internet; Mutant Proteins; Mutation; Neoplasm Proteins; Neoplasms; Proteome, Tumor; Databases},
pubstate = {published},
tppubtype = {article}
}
Whole-exome sequencing, which centres on the protein coding regions of disease/cancer associated genes, represents the most cost-effective method to-date for deciphering the association between genetic alterations and diseases. Large-scale whole exome/genome sequencing projects have been launched by various institutions, such as NCI, Broad Institute and TCGA, to provide a comprehensive catalogue of coding variants in diverse tissue samples and cell lines. Further functional and clinical interrogation of these sequence variations must rely on extensive cross-platforms integration of sequencing information and a proteome database that explicitly and comprehensively archives the corresponding mutated peptide sequences. While such data resource is a critical for the mass spectrometrybased proteomic analysis of exomic variants, no database is currently available for the collection of mutant protein sequences that correspond to recent large-scale genomic data. To address this issue and serve as bridge to integrate genomic and proteomics datasets, CMPD (http://cgbc.cgu.edu.tw/cmpd) collected over 2 millions genetic alterations, which not only facilitates the confirmation and examination of potential cancer biomarkers but also provides an invaluable resource for translational medicine research and opportunities to identify mutated proteins encoded by mutated genes. © The Author(s) 2014.