Emerging affinity-based techniques in proteomics
Open accessAbstract
Proteomes of interest, such as the human proteome, have such complexity that no single technique is adequate for the complete analysis of the constituents. Depending on the goal (e.g., identification of a novel protein vs measurement of the level of a known protein), the tools required can vary significantly. While existing methods provide valuable information, their limitations drive the development of complementary, innovative methods to achieve greater breadth of coverage, dynamic range or specificity of analysis. We will discuss affinity-based methods and their applications, focusing on their unique advantages. In addition, we will describe emerging methods with potential value to proteomics, as well as the challenges that remain for proteomic studies.
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Front-end protein enrichment strategies are required to specifically capture and enrich low-abundance proteins from complex biological milieu prior to MS analysis.
“Front-end protein enrichment strategies are therefore required to specifically capture and enrich low-abundance proteins from the complex biological milieu prior to MS analysis9,11.”
From Nanoproteomics enables proteoform-resolved analysis of low-abundance proteins in human serum (2020) · cites this paper as [11]
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References 121 · Cited by 38
- Authors
- Xie, S., Moya, C., Bilgin, B., Jayaraman, A., & Walton, S. P.
- Affiliations
- Michigan State University (US)
- Texas A&M University (US)
- Corresponding author
- Walton, S Patrick
- Venue
- Expert Review of Proteomics
- Publisher
- Informa UK Limited
- Published
- 2009-10
- Volume
- 6
- Issue
- 5
- Pages
- 573-583
- ISSN
- 1478-9450 (ISSN-L)
- 1744-8387
- PMC
- PMC3967512
- OpenAlex
- W2152499159
- Cited by
- 38
- References
- 121
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 2 · 2022: 8 · 2021: 2 · 2020: 5 · 2019: 1 · 2018: 3 · 2013: 2 · 2012: 3
- FWCI
- 1.00
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Expert Review of Proteomics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R21CA126136)
- National Institute of General Medical Sciences (R01GM079688)
- National Center for Research Resources (R21RR024439)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
- Keywords
- proteomics, protein identification, protein quantification, human proteome, proteome coverage, dynamic range
- MeSH terms
- Affinity Labels, Proteomics
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