Back to Search
Start Over
Reproducible quantitative proteotype data matrices for systems biology
- Source :
- Molecular Biology of the Cell, Molecular Biology of the Cell, 26 (22)
- Publication Year :
- 2015
-
Abstract
- Historically, many mass spectrometry–based proteomic studies have aimed at compiling an inventory of protein compounds present in a biological sample, with the long-term objective of creating a proteome map of a species. However, to answer fundamental questions about the behavior of biological systems at the protein level, accurate and unbiased quantitative data are required in addition to a list of all protein components. Fueled by advances in mass spectrometry, the proteomics field has thus recently shifted focus toward the reproducible quantification of proteins across a large number of biological samples. This provides the foundation to move away from pure enumeration of identified proteins toward quantitative matrices of many proteins measured across multiple samples. It is argued here that data matrices consisting of highly reproducible, quantitative, and unbiased proteomic measurements across a high number of conditions, referred to here as quantitative proteotype maps, will become the fundamental currency in the field and provide the starting point for downstream biological analysis. Such proteotype data matrices, for example, are generated by the measurement of large patient cohorts, time series, or multiple experimental perturbations. They are expected to have a large effect on systems biology and personalized medicine approaches that investigate the dynamic behavior of biological systems across multiple perturbations, time points, and individuals.<br />Molecular Biology of the Cell, 26 (22)<br />ISSN:1939-4586<br />ISSN:1059-1524
- Subjects :
- Proteomics
business.industry
Systems biology
Systems Biology
Protein level
Computational Biology
Reproducibility of Results
Sample (statistics)
Cell Biology
Computational biology
Biology
Bioinformatics
Field (geography)
Mass Spectrometry
Data Accuracy
Proteome
Enumeration
Humans
Personalized medicine
business
Molecular Biology
Perspectives
Subjects
Details
- ISSN :
- 19394586 and 10591524
- Volume :
- 26
- Issue :
- 22
- Database :
- OpenAIRE
- Journal :
- Molecular biology of the cell
- Accession number :
- edsair.doi.dedup.....92aec5a7a47018df1ac8d2468074ab7b