The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Molecular Biologist's Guide to Proteomics
Open accessAbstract
SUMMARY: The emergence of proteomics, the large-scale analysis of proteins, has been inspired by the realization that the final product of a gene is inherently more complex and closer to function than the gene itself. Shortfalls in the ability of bioinformatics to predict both the existence and function of genes have also illustrated the need for protein analysis. Moreover, only through the study of proteins can posttranslational modifications be determined, which can profoundly affect protein function. Proteomics has been enabled by the accumulation of both DNA and protein sequence databases, improvements in mass spectrometry, and the development of computer algorithms for database searching. In this review, we describe why proteomics is important, how it is conducted, and how it can be applied to complement other existing technologies. We conclude that currently, the most practical application of proteomics is the analysis of target proteins as opposed to entire proteomes. This type of proteomics, referred to as functional proteomics, is always driven by a specific biological question. In this way, protein identification and characterization has a meaningful outcome. We discuss some of the advantages of a functional proteomics approach and provide examples of how different methodologies can be utilized to address a wide variety of biological problems.
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Cites
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“This method is known as isotope-coded affinity tags (ICAT) and relies on the labeling of protein samples from two different sources with two chemically identical reagents that differ only in mass as a result of isotope composition (66).”
MethodGlobal Analysis of Protein Activities Using Proteome Chips
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Cited by
Abiotic stress responses in plant roots: a proteomics perspective
Ghosh, D., & Xu, J. (2014) · Frontiers in Plant Science · doi:10.3389/fpls.2014.00006 · Cited by 294
Application of Proteomics in Cancer: Recent Trends and Approaches for Biomarkers Discovery
Kwon, Y. W., Jo, H.-S., Bae, S., Seo, Y., Song, P., Song, M., & Yoon, J. H. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.747333 · Cited by 268
Missing data in multi-omics integration: Recent advances through artificial intelligence
Flores, J. E., Claborne, D. M., Weller, Z. D., Webb-Robertson, B.-J. M., Waters, K. M., & Bramer, L. M. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1098308 · Cited by 181
“Proteomics instrumentation can measure the relative abundance of proteins that are produced from gene expression and transcript translation (Graves and Haystead, 2002).”
BackgroundZuccoli, G. S., Saia-Cereda, V. M., Nascimento, J. M., & Martins-de-Souza, D. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00493 · Cited by 157
Proteins and Proteoforms: New Separation Challenges
Regnier, F. E., & Kim, J. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.7b05007 · Cited by 36
Metadata
- Authors
- Graves, P. R., & Haystead, T. A. J.
- Venue
- Microbiology and Molecular Biology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2002-03
- Volume
- 66
- Issue
- 1
- Pages
- 39-63
- ISSN
- 1092-2172 (ISSN-L)
- 1098-5557
- OpenAlex
- W2132901471
- Cited by
- 691
- References
- 7
- FWCI
- 2.24
- Type
- journal article
- Language
- en
- Open access
- green
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