The DOI matches its Crossref record; 195 of the 195 references it cites were found in a registry or an index.
Advances in targeted proteomics and applications to biomedical research
Open accessAbstract
Targeted proteomics technique has emerged as a powerful protein quantification tool in systems biology, biomedical research, and increasing for clinical applications. The most widely used targeted proteomics approach, selected reaction monitoring (SRM), also known as multiple reaction monitoring (MRM), can be used for quantification of cellular signaling networks and preclinical verification of candidate protein biomarkers. As an extension to our previous review on advances in SRM sensitivity (Shi et al., Proteomics, 12, 1074–1092, 2012) herein we review recent advances in the method and technology for further enhancing SRM sensitivity (from 2012 to present), and highlighting its broad biomedical applications in human bodily fluids, tissue and cell lines. Furthermore, we also review two recently introduced targeted proteomics approaches, parallel reaction monitoring (PRM) and data‐independent acquisition (DIA) with targeted data extraction on fast scanning high‐resolution accurate‐mass (HR/AM) instruments. Such HR/AM targeted quantification with monitoring all target product ions addresses SRM limitations effectively in specificity and multiplexing; whereas when compared to SRM, PRM and DIA are still in the infancy with a limited number of applications. Thus, for HR/AM targeted quantification we focus our discussion on method development, data processing and analysis, and its advantages and limitations in targeted proteomics. Finally, general perspectives on the potential of achieving both high sensitivity and high sample throughput for large‐scale quantification of hundreds of target proteins are discussed.
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Self-citationSex estimation using sexually dimorphic amelogenin protein fragments in human enamel
Parker, G. J., Yip, J. M., Eerkens, J. W., Salemi, M., Durbin-Johnson, B., Kiesow, C., Haas, R., Buikstra, J. E., Klaus, H., Regan, L. A., et al. (2019) · Journal of Archaeological Science · doi:10.1016/j.jas.2018.08.011 · Cited by 138
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Metadata
- Authors
- Shi, T., Song, E., Nie, S., Rodland, K. D., Liu, T., Qian, W., & Smith, R. D.
- Venue
- PROTEOMICS
- Publisher
- Wiley
- Published
- 2016-08
- Volume
- 16
- Issue
- 15-16
- Pages
- 2160-2182
- ISSN
- 1615-9853 (ISSN-L)
- 1615-9861
- OpenAlex
- W2430794023
- Cited by
- 257
- References
- 195
- FWCI
- 12.17
- Type
- journal article
- Language
- en
- Open access
- green
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