The DOI matches its Crossref record; 156 of the 156 references it cites were found in a registry or an index.
A Critical Review of Bottom-Up Proteomics: The Good, the Bad, and the Future of This Field
Open accessAbstract
Proteomics is the field of study that includes the analysis of proteins, from either a basic science prospective or a clinical one. Proteins can be investigated for their abundance, variety of proteoforms due to post-translational modifications (PTMs), and their stable or transient protein–protein interactions. This can be especially beneficial in the clinical setting when studying proteins involved in different diseases and conditions. Here, we aim to describe a bottom-up proteomics workflow from sample preparation to data analysis, including all of its benefits and pitfalls. We also describe potential improvements in this type of proteomics workflow for the future.
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Cited by
Non-standardized protein background in IVF media linked to serum-derived albumin supplementation
Nezvedová, M., Porokh, V., Bočková, T., Pustka, V., Kyjovská, D., Maierová, B., Kloudová, S., Otevřel, P., & Holubcová, Z. (2025) · Journal of Assisted Reproduction and Genetics · doi:10.1007/s10815-025-03616-0 · Cited by 6
(2025) · doi:10.1016/j.mcpro.2025.101501 · Cited by 4
Metadata
- Authors
- Dupree, E. J., Jayathirtha, M., Yorkey, H., Mihasan, M., Petre, B. A., & Darie, C. C.
- Venue
- Proteomes
- Publisher
- MDPI AG
- Published
- 2020-07-06
- Volume
- 8
- Issue
- 3
- Pages
- 14
- ISSN
- 2227-7382 (ISSN-L)
- OpenAlex
- W3039939852
- Cited by
- 353
- References
- 156
- FWCI
- 14.31
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
