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Nat Methods. 2014 Nov;11(11):1107-13. doi: 10.1038/nmeth.3138.

Onco-proteogenomics: cancer proteomics joins forces with genomics.

Author information

1
1] Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. [2] Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada. [3] Informatics &Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
2
1] Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. [2] Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.
3
1] Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. [2] Informatics &Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada. [3] Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.

Abstract

The complexities of tumor genomes are rapidly being uncovered, but how they are regulated into functional proteomes remains poorly understood. Standard proteomics workflows use databases of known proteins, but these databases do not capture the uniqueness of the cancer transcriptome, with its point mutations, unusual splice variants and gene fusions. Onco-proteogenomics integrates mass spectrometry-generated data with genomic information to identify tumor-specific peptides. Linking tumor-derived DNA, RNA and protein measurements into a central-dogma perspective has the potential to improve our understanding of cancer biology.

PMID:
25357240
DOI:
10.1038/nmeth.3138
[Indexed for MEDLINE]

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