The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Less label, more free: Approaches in label‐free quantitative mass spectrometry
Abstract
In this review we examine techniques, software, and statistical analyses used in label‐free quantitative proteomics studies for area under the curve and spectral counting approaches. Recent advances in the field are discussed in an order that reflects a logical workflow design. Examples of studies that follow this design are presented to highlight the requirement for statistical assessment and further experiments to validate results from label‐free quantitation. Limitations of label‐free approaches are considered, label‐free approaches are compared with labelling techniques, and forward‐looking applications for label‐free quantitative data are presented. We conclude that label‐free quantitative proteomics is a reliable, versatile, and cost‐effective alternative to labelled quantitation.
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Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Ong, S.-E., Blagoev, B., Kratchmarova, I., Kristensen, D. B., Steen, H., Pandey, A., & Mann, M. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m200025-mcp200 · Cited by 5,574
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683
Ross, P. L., Huang, Y. N., Marchese, J. N., Williamson, B., Parker, K., Hattan, S., Khainovski, N., Pillai, S., Dey, S., Daniels, S., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m400129-mcp200 · Cited by 4,401
Global analysis of protein expression in yeast
Ghaemmaghami, S., Huh, W.-K., Bower, K., Howson, R. W., Belle, A., Dephoure, N., O'Shea, E. K., & Weissman, J. S. (2003) · Nature · doi:10.1038/nature02046 · Cited by 3,750
Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS
Gerber, S. A., Rush, J., Stemman, O., Kirschner, M. W., & Gygi, S. P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0832254100 · Cited by 1,733
Mass spectrometry–based proteomics turns quantitative
Ong, S.-E., & Mann, M. (2005) · Nature Chemical Biology · doi:10.1038/nchembio736 · Cited by 1,572 · cited 3×
“D A V ID (i ) M ic ro a rr a y [1 5 2 , 1 5 3 ]”
BackgroundAbsolute Quantification of Proteins by LCMSE
Silva, J. C., Gorenstein, M. V., Li, G.-Z., Vissers, J. P. C., & Geromanos, S. J. (2006) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m500230-mcp200 · Cited by 1,529
Proteomic characterization of the human centrosome by protein correlation profiling
Andersen, J. S., Wilkinson, C. J., Mayor, T., Mortensen, P., Nigg, E. A., & Mann, M. (2003) · Nature · doi:10.1038/nature02166 · Cited by 1,319
Lu, P., Vogel, C., Wang, R., Yao, X., & Marcotte, E. M. (2007) · Nature Biotechnology · doi:10.1038/nbt1270 · Cited by 1,139
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Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present
Bantscheff, M., Lemeer, S., Savitski, M. M., & Kuster, B. (2012) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-012-6203-4 · Cited by 801
Nanoparticle toxicity by the gastrointestinal route: evidence and knowledge gaps
Bergin, I. L., & Witzmann, F. A. (2013) · International Journal of Biomedical Nanoscience and Nanotechnology · doi:10.1504/ijbnn.2013.054515 · Cited by 412
Integrated analysis of shotgun proteomic data with PatternLab for proteomics 4.0
Carvalho, P. C., Lima, D. B., Leprevost, F. V., Santos, M. D. M., Fischer, J. S. G., Aquino, P. F., Moresco, J. J., Yates, J. R., & Barbosa, V. C. (2016) · Nature Protocols · doi:10.1038/nprot.2015.133 · Cited by 283
Phosphoproteomics in the Age of Rapid and Deep Proteome Profiling
Riley, N. M., & Coon, J. J. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.5b04123 · Cited by 265
Critical assessment of proteome‐wide label‐free absolute abundance estimation strategies
Ahrné, E., Molzahn, L., Glatter, T., & Schmidt, A. (2013) · PROTEOMICS · doi:10.1002/pmic.201300135 · Cited by 247
Metadata
- Authors
- Neilson, K. A., Ali, N. A., Muralidharan, S., Mirzaei, M., Mariani, M., Assadourian, G., Lee, A., van Sluyter, S. C., & Haynes, P. A.
- Venue
- PROTEOMICS
- Publisher
- Wiley
- Published
- 2011-01-17
- Volume
- 11
- Issue
- 4
- Pages
- 535-553
- ISSN
- 1615-9853 (ISSN-L)
- 1615-9861
- OpenAlex
- W2011061591
- Cited by
- 704
- References
- 14
- FWCI
- 31.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Neilson, K. A., Ali, N. A., Muralidharan, S., Mirzaei, M., Mariani, M., Assadourian, G., Lee, A., van Sluyter, S. C., & Haynes, P. A. (2011). Less label, more free: Approaches in label‐free quantitative mass spectrometry. PROTEOMICS. https://doi.org/10.1002/pmic.201000553
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