Proteome and transcriptome profiles of a Her2/Neu-driven mouse model of breast cancer.
Proteomics Clin Appl
; 5(3-4): 179-88, 2011 Apr.
Article
in En
| MEDLINE
| ID: mdl-21448875
ABSTRACT
PURPOSE:
We generated extensive transcriptional and proteomic profiles from a Her2-driven mouse model of breast cancer that closely recapitulates human breast cancer. This report makes these data publicly available in raw and processed forms, as a resource to the community. Importantly, we previously made biospecimens from this same mouse model freely available through a sample repository, so researchers can obtain samples to test biological hypotheses without the need of breeding animals and collecting biospecimens. EXPERIMENTALDESIGN:
Twelve datasets are available, encompassing 841 LC-MS/MS experiments (plasma and tissues) and 255 microarray analyses of multiple tissues (thymus, spleen, liver, blood cells, and breast). Cases and controls were rigorously paired to avoid bias.RESULTS:
In total, 18,880 unique peptides were identified (PeptideProphet peptide error rate ≤1%), with 3884 and 1659 non-redundant protein groups identified in plasma and tissue datasets, respectively. Sixty-one of these protein groups overlapped between cancer plasma and cancer tissue. CONCLUSIONS AND CLINICAL RELEVANCE These data are of use for advancing our understanding of cancer biology, for software and quality control tool development, investigations of analytical variation in MS/MS data, and selection of proteotypic peptides for multiple reaction monitoring-MS. The availability of these datasets will contribute positively to clinical proteomics.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Transcription, Genetic
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Breast Neoplasms
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Receptor, ErbB-2
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Proteome
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Gene Expression Profiling
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Disease Models, Animal
Limits:
Animals
Language:
En
Journal:
Proteomics Clin Appl
Journal subject:
BIOQUIMICA
Year:
2011
Document type:
Article
Affiliation country:
United States