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A novel strategy for quantitative proteomics using isotope‐coded protein labels
Abstract
Stable isotope labelling in combination with mass spectrometry has emerged as a powerful tool to identify and relatively quantify thousands of proteins within complex protein mixtures. Here we describe a novel method, termed isotope‐coded protein label (ICPL), which is capable of high‐throughput quantitative proteome profiling on a global scale. Since ICPL is based on stable isotope tagging at the frequent free amino groups of isolated intact proteins, it is applicable to any protein sample, including extracts from tissues or body fluids, and compatible to all separation methods currently employed in proteome studies. The method showed highly accurate and reproducible quantification of proteins and yielded high sequence coverage, indispensable for the detection of post‐translational modifications and protein isoforms. The efficiency (e.g. accuracy, dynamic range, sensitivity, speed) of the approach is demonstrated by comparative analysis of two differentially spiked proteomes.
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Cites
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
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Mass spectrometry–based proteomics turns quantitative
Ong, S.-E., & Mann, M. (2005) · Nature Chemical Biology · doi:10.1038/nchembio736 · Cited by 1,572
Protein Analysis by Shotgun/Bottom-up Proteomics
Zhang, Y., Fonslow, B. R., Shan, B., Baek, M.-C., & Yates, J. R. (2013) · Chemical Reviews · doi:10.1021/cr3003533 · Cited by 1,491
Selected reaction monitoring–based proteomics: workflows, potential, pitfalls and future directions
Picotti, P., & Aebersold, R. (2012) · Nature Methods · doi:10.1038/nmeth.2015 · Cited by 1,302
Proteomics of Integral Membrane ProteinsTheory and Application
Speers, A. E., & Wu, C. C. (2007) · Chemical Reviews · doi:10.1021/cr068286z · Cited by 325
Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis
Chen, C., Hou, J., Tanner, J. J., & Cheng, J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21082873 · Cited by 280
Metadata
- Authors
- Schmidt, A., Kellermann, J., & Lottspeich, F.
- Venue
- PROTEOMICS
- Publisher
- Wiley
- Published
- 2005-01
- Volume
- 5
- Issue
- 1
- Pages
- 4-15
- ISSN
- 1615-9853 (ISSN-L)
- 1615-9861
- OpenAlex
- W2097785509
- Cited by
- 507
- References
- 1
- FWCI
- 11.72
- Type
- journal article
- Language
- en
- Open access
- closed
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