Top‐down proteomics in health and disease: Challenges and opportunities
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Proteomics is essential for deciphering how molecules interact as a system and for understanding the functions of cellular systems in human disease; however, the unique characteristics of the human proteome, which include a high dynamic range of protein expression and extreme complexity due to a plethora of PTMs and sequence variations, make such analyses challenging. An emerging “top‐down” MS‐based proteomics approach, which provides a “bird's eye” view of all proteoforms, has unique advantages for the assessment of PTMs and sequence variations. Recently, a number of studies have showcased the potential of top‐down proteomics for the unraveling of disease mechanisms and discovery of new biomarkers. Nevertheless, the top‐down approach still faces significant challenges in terms of protein solubility, separation, and the detection of large intact proteins, as well as underdeveloped data analysis tools. Consequently, new technological developments are urgently needed to advance the field of top‐down proteomics. Herein, we intend to provide an overview of the recent applications of top‐down proteomics in biomedical research. Moreover, we will outline the challenges and opportunities facing top‐down proteomics strategies aimed at understanding and diagnosing human diseases.
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Mutations and differential expression of protein isoforms drive molecular mechanisms underlying disease phenotypes.
“Moreover, mutations and differential expression of protein isoforms have been shown to drive molecular mechanisms underlying disease phenotypes, necessitating their in-depth characterization [5,7].”
From Top-down proteomics: challenges, innovations, and applications in basic and clinical research (2020) · cites this paper as [5]
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A Common Property of Amyotrophic Lateral Sclerosis-associated Variants
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Zhang, J., Dong, X., Hacker, T. A., & Ge, Y. (2010) · Journal of the American Society for Mass Spectrometry · doi:10.1016/j.jasms.2010.02.005 · Cited by 66 · see citing works
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Collier, T. S., Sarkar, P., Rao, B. M., & Muddiman, D. C. (2010) · Journal of the American Society for Mass Spectrometry · doi:10.1016/j.jasms.2010.01.031 · Cited by 66 · see citing works
Zhang, L., Freitas, M. A., Wickham, J., Parthun, M. R., Klisovic, M. I., Marcucci, G., & Byrd, J. C. (2003) · Journal of the American Society for Mass Spectrometry · doi:10.1016/j.jasms.2003.10.001 · Cited by 63 · see citing works
Precursor ion independent algorithm for top-down shotgun proteomics
Tsai, Y. S., Scherl, A., Shaw, J. L., Mackay, C. L., Shaffer, S. A., Langridge‐Smith, P. R. R., & Goodlett, D. R. (2009) · Journal of the American Society for Mass Spectrometry · doi:10.1016/j.jasms.2009.07.024 · Cited by 59 · see citing works
Simpson, D. C., Ahn, S., Paša‐Tolić, L., Bogdanov, B., Mottaz, H. M., Vilkov, A. N., Anderson, G., Lipton, M. S. W., & Smith, R. D. (2006) · Electrophoresis · doi:10.1002/elps.200600037 · Cited by 57 · see citing works
Chen, X., Westphall, M. S., & Smith, L. M. (2003) · Analytical Chemistry · doi:10.1021/ac030127h · Cited by 54 · see citing works
Solis, R. S., Ge, Y., & Walker, J. W. (2008) · Journal of Muscle Research and Cell Motility · doi:10.1007/s10974-009-9168-y · Cited by 50 · see citing works
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Park, J., Qin, H., Scalf, M., Hilger, R. T., Westphall, M. S., Smith, L. M., & Blick, R. H. (2011) · Nano Letters · doi:10.1021/nl201645u · Cited by 44 · see citing works
Top-down Targeted Proteomics for Deep Sequencing of Tropomyosin Isoforms
Peng, Y., Chen, X., Zhang, H., Xu, Q., Hacker, T. A., & Ge, Y. (2012) · Journal of Proteome Research · doi:10.1021/pr301054n · Cited by 44 · see citing works
Self-citationThéberge, R., Infusini, G., Tong, W., McComb, M. E., & Costello, C. E. (2010) · International Journal of Mass Spectrometry · doi:10.1016/j.ijms.2010.08.012 · Cited by 44 · see citing works
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Desiderio, C., D’Angelo, L., Rossetti, D. V., Iavarone, F., Giardina, B., Castagnola, M., Massimi, L., Tamburrini, G., & Rocco, C. D. (2012) · PROTEOMICS · doi:10.1002/pmic.201100499 · Cited by 40 · see citing works
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Westfall, M. V., & Borton, A. R. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m305404200 · Cited by 36 · see citing works
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Drake, T. A., & Ping, P. (2006) · Journal of Lipid Research · doi:10.1194/jlr.r600027-jlr200 · Cited by 34 · see citing works
Mass Spectrometry as an Emerging Tool for Systems Biology
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Flagged first, then by citations
Research works printed but not linked: 3
- [82]Catherman AD Li M Tran JC Durbin KR Compton PD Early BP Top down proteomics of human membrane proteins from enriched mitochondrial fractions Anal Chem 2013 85 1880 8 23305238 PMC3565750
- [95]Doucette AA Tran JC Wall MJ Fitzsimmons S Intact proteome fractionation strategies compatible with mass spectrometry Expert Review of Proteomics 2011 8 787 800 22087661
- [99]Neverova I Van Eyk JE Role of chromatographic techniques in proteomic analysis Journal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences 2005 815 51 63 15652798
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Self-citation
- Authors
- Gregorich, Z. R., & Ge, Y.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Ge, Ying
- Venue
- PROTEOMICS
- Publisher
- Wiley
- Published
- 2014-05
- Volume
- 14
- Issue
- 10
- Pages
- 1195-1210
- ISSN
- 1615-9853 (ISSN-L)
- 1615-9861
- PMC
- PMC4100610
- OpenAlex
- W2078612085
- Cited by
- 217
- References
- 133
- Citations by year
- 2026: 15 · 2025: 7 · 2024: 15 · 2023: 13 · 2022: 17 · 2021: 17 · 2020: 16 · 2019: 23 · 2018: 20 · 2017: 28 · 2016: 22 · 2015: 19 · 2014: 5
- FWCI
- 2.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- PROTEOMICS (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (R01HL096971, R01HL109810, T32GM008688)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
- Keywords
- top-down proteomics, proteoforms, post-translational modification, sequence variation, human proteome, biomarker discovery, disease mechanisms, protein solubility, data analysis software
- MeSH terms
- Cardiovascular Diseases, Communicable Diseases, Diabetes Mellitus, Humans, Neoplasms, Protein Processing, Post-Translational, Mass Spectrometry, Biomarkers, Neurodegenerative Diseases, Proteome, Proteomics, Systems Biology
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