Online μSEC 2 -nRPLC-MS for Improved Sensitivity of Intact Protein Detection of IEF-Separated Nonhuman Primate Cerebrospinal Fluid Proteins
Open accessPublished version of a preprint
Abstract
ABSTRACT Proteoform-resolved information, obtained by top-down (TD) “intact protein” proteomics, is expected to contribute substantially to the understanding of molecular pathogenic mechanisms and in turn, identify novel therapeutic and diagnostic targets. However, the robustness of mass spectrometry (MS) analysis of intact proteins in complex biological samples is hindered by high dynamic range in protein concentration and mass, protein instability, and buffer complexity. Here, we describe an evolutionary step for intact protein investigations through the online implementation of tandem microflow size exclusion chromatography with nanoflow reversed-phase liquid chromatography and MS (μSEC 2 -nRPLC-MS). Online serial high-/low-pass SEC filtration overcomes the aforementioned hurdles to intact proteomic analysis through automated sample desalting/cleanup and enrichment of target mass ranges (5-155 kDa) prior to nRPLC-MS. The coupling of μSEC to nRPLC is achieved through a novel injection volume control (IVC) strategy of inserting protein trap columns pre- and post-μSEC columns to enable injection of dilute samples in high volumes without loss of sensitivity or resolution. Critical characteristics of the approach are tested via rigorous investigations on samples of varied complexity and chemical background. Application of the platform to cerebrospinal fluid (CSF) pre-fractionated by OFFGEL isoelectric focusing drastically increases the number of intact mass tags (IMTs) detected within the target mass range (5-30 kDa) in comparison to one-dimensional nRPLC-MS with approximately 100x less CSF than previous OFFGEL studies. Furthermore, the modular design of the μSEC 2 -nRPLC-MS platform is robust and promises significant flexibility for large-scale TDMS analysis of diverse samples either directly or in concert with other multidimensional fractionation steps.
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Cites
How many human proteoforms are there?
Aebersold, R., Agar, J. N., Amster, I. J., Baker, M. S., Bertozzi, C. R., Boja, E. S., Costello, C. E., Cravatt, B. F., Fenselau, C., Garcia, B. A., et al. (2018) · Nature Chemical Biology · doi:10.1038/nchembio.2576 · Cited by 907 · see citing works
Self-citationTop-down proteomics: challenges, innovations, and applications in basic and clinical research
Brown, K. A., Melby, J. A., Roberts, D. S., & Ge, Y. (2020) · Expert Review of Proteomics · doi:10.1080/14789450.2020.1855982 · Cited by 152 · see citing works
Quantitation and Identification of Thousands of Human Proteoforms below 30 kDa
Durbin, K. R., Fornelli, L., Fellers, R. T., Doubleday, P. F., Narita, M., & Kelleher, N. L. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00997 · Cited by 111 · see citing works
Proton Transfer Charge Reduction Enables High-Throughput Top-Down Analysis of Large Proteoforms
Huguet, R., Mullen, C., Srzentić, K., Greer, J. B., Fellers, R. T., Zabrouskov, V., Syka, J. E. P., Kelleher, N. L., & Fornelli, L. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.9b03925 · Cited by 94 · see citing works
Takemori, A., Butcher, D. S., Harman, V. M., Brownridge, P., Shima, K., Higo, D., Ishizaki, J., Hasegawa, H., Suzuki, J., Yamashita, M., et al. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00303 · Cited by 90 · see citing works
Evaluation of the Compact High-Field Orbitrap for Top-Down Proteomics of Human Cells
Ahlf, D. R., Compton, P. D., Tran, J. C., Early, B. P., Thomas, P. M., & Kelleher, N. L. (2012) · Journal of Proteome Research · doi:10.1021/pr3004216 · Cited by 89 · see citing works
Tucholski, T., Knott, S. J., Chen, B., Pistono, P., Lin, Z., & Ge, Y. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.8b04082 · Cited by 49 · see citing works
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- Authors
- Cline, E. N., Alvarez, C., Duan, J., & Patrie, S. M.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Patrie, Steven M.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-12-09
- Volume
- 93
- Issue
- 50
- Pages
- 16741-16750
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- PMC
- PMC10476446
- OpenAlex
- W4226090807
- Cited by
- 8
- References
- 7
- Citations by year
- 2026: 2 · 2024: 1 · 2023: 2 · 2022: 3
- FWCI
- 0.55
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Analytical Chemistry (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- University of Texas System (363027)
- Multiple Sclerosis Society (PP-1503-04034)
- University of Texas at Dallas
- National Institute of General Medical Sciences (1R01GM115739-01A1, R01GM115739-04S1)
- Darrel K. Royal Research Fund for Alzheimer???s Disease (48680-DKR)
- Texas Alzheimer???s Research and Care Consortium (354091)
- 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 › Metabolomics and Mass Spectrometry Studies
- Keywords
- top-down proteomics, cerebrospinal fluid protein, non-human primates, isoelectric focusing
- MeSH terms
- Animals, Cerebrospinal Fluid Proteins, Isoelectric Focusing, Primates, Mass Spectrometry, Proteomics
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