1
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Kwan R, Das P, Gerrebos N, Li J, Wang XY, DeBoer G, Emnacen-Pankhurst V, Lin S, Feng R, Goodchild S, Sojo LE. Development and application of a multiple reaction monitoring method for the simultaneous quantification of sodium channels Na v 1.1, Na v 1.2, and Na v 1.6 in solubilized membrane proteins from stable HEK293 cell lines, rodents, and human brain tissues. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2024; 38:e9672. [PMID: 38211346 DOI: 10.1002/rcm.9672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 10/13/2023] [Accepted: 10/22/2023] [Indexed: 01/13/2024]
Abstract
RATIONALE Nav 1.1, 1.2, and 1.6 are transmembrane proteins acting as voltage-gated sodium channels implicated in various forms of epilepsy. There is a need for knowing their actual concentration in target tissues during drug development. METHODS Unique peptides for Nav 1.1, Nav 1.2, and Nav 1.6 were selected as quantotropic peptides for each protein and used for their quantification in membranes from stably transfected HEK293 cells and rodent and human brain samples using ultra-high-performance liquid chromatography-electrospray ionization tandem mass spectrometry. RESULTS Nav 1.1, 1.2, and 1.6 protein expressions in three stably individually transfected HEK293 cell lines were found to be 2.1 ± 0.2, 6.4 ± 1.2, and 4.0 ± 0.6 fmol/μg membrane protein, respectively. In brains, Nav 1.2 showed the highest expression, with approximately three times higher (P < 0.003) in rodents than in humans at 3.05 ± 0.57, with 3.35 ± 0.56 in mouse and rat brains and 1.09 ± 0.27 fmol/μg in human brain. Both Nav 1.1 and 1.6 expressions were much lower in the brains, with approximately 40% less expression in human Nav 1.1 than rodent Nav 1.1 at 0.49 ± 0.1 (mouse), 0.43 ± 0.3 (rat), and 0.28 ± 0.04 (humans); whereas Nav 1.6 had approximately 60% less expression in humans than rodents at 0.27 ± 0.09 (mouse), 0.26 ± 0.06 (rat), and 0.11 ± 0.02 (humans) fmol/μg membrane proteins. CONCLUSIONS Multiple reaction monitoring was used to quantify sodium channels Nav 1.1, 1.2, and 1.6 expressed in stably transfected HEK293 cells and brain tissues from mice, rats, and humans. We found significant differences in the expression of these channels in mouse, rat, and human brains. Nav expression ranking among the three species was Nav 1.2 ≫ Nav 1.1 > Nav 1.6, with the human brain expressing much lower concentrations overall compared to rodent brain.
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Affiliation(s)
- Rainbow Kwan
- Xenon Pharmaceuticals Inc., Burnaby, British Columbia, Canada
| | - Prerna Das
- Xenon Pharmaceuticals Inc., Burnaby, British Columbia, Canada
| | - Neelan Gerrebos
- Xenon Pharmaceuticals Inc., Burnaby, British Columbia, Canada
| | - Jenny Li
- Xenon Pharmaceuticals Inc., Burnaby, British Columbia, Canada
| | - Xin Yin Wang
- Xenon Pharmaceuticals Inc., Burnaby, British Columbia, Canada
| | - Gina DeBoer
- Xenon Pharmaceuticals Inc., Burnaby, British Columbia, Canada
| | | | - Sophia Lin
- Xenon Pharmaceuticals Inc., Burnaby, British Columbia, Canada
| | - Raymond Feng
- Xenon Pharmaceuticals Inc., Burnaby, British Columbia, Canada
| | - Sam Goodchild
- Xenon Pharmaceuticals Inc., Burnaby, British Columbia, Canada
| | - Luis E Sojo
- Xenon Pharmaceuticals Inc., Burnaby, British Columbia, Canada
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2
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Michaud SA, Pětrošová H, Sinclair NJ, Kinnear AL, Jackson AM, McGuire JC, Hardie DB, Bhowmick P, Ganguly M, Flenniken AM, Nutter LMJ, McKerlie C, Smith D, Mohammed Y, Schibli D, Sickmann A, Borchers CH. Multiple reaction monitoring assays for large-scale quantitation of proteins from 20 mouse organs and tissues. Commun Biol 2024; 7:6. [PMID: 38168632 PMCID: PMC10762018 DOI: 10.1038/s42003-023-05687-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 12/07/2023] [Indexed: 01/05/2024] Open
Abstract
Mouse is the mammalian model of choice to study human health and disease due to its size, ease of breeding and the natural occurrence of conditions mimicking human pathology. Here we design and validate multiple reaction monitoring mass spectrometry (MRM-MS) assays for quantitation of 2118 unique proteins in 20 murine tissues and organs. We provide open access to technical aspects of these assays to enable their implementation in other laboratories, and demonstrate their suitability for proteomic profiling in mice by measuring normal protein abundances in tissues from three mouse strains: C57BL/6NCrl, NOD/SCID, and BALB/cAnNCrl. Sex- and strain-specific differences in protein abundances are identified and described, and the measured values are freely accessible via our MouseQuaPro database: http://mousequapro.proteincentre.com . Together, this large library of quantitative MRM-MS assays established in mice and the measured baseline protein abundances represent an important resource for research involving mouse models.
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Affiliation(s)
- Sarah A Michaud
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada.
| | - Helena Pětrošová
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Nicholas J Sinclair
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Andrea L Kinnear
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Angela M Jackson
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Jamie C McGuire
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Darryl B Hardie
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Pallab Bhowmick
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Milan Ganguly
- The Center for Phenogenomics, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | - Ann M Flenniken
- The Center for Phenogenomics, Toronto, ON, Canada
- Sinai Health Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada
| | - Lauryl M J Nutter
- The Center for Phenogenomics, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | | | - Derek Smith
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Yassene Mohammed
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V, Dortmund, 44139, Germany
- Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada
| | - David Schibli
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Albert Sickmann
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V, Dortmund, 44139, Germany
| | - Christoph H Borchers
- Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada.
- Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, QC, Canada.
- Department of Experimental Medicine, McGill University, Montreal, QC, Canada.
- Department of Pathology, McGill University, Montreal, QC, Canada.
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3
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Kononikhin AS, Brzhozovskiy AG, Bugrova AE, Chebotareva NV, Zakharova NV, Semenov S, Vinogradov A, Indeykina MI, Moiseev S, Larina IM, Nikolaev EN. Targeted MRM Quantification of Urinary Proteins in Chronic Kidney Disease Caused by Glomerulopathies. Molecules 2023; 28:molecules28083323. [PMID: 37110557 PMCID: PMC10142111 DOI: 10.3390/molecules28083323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/28/2023] [Accepted: 04/07/2023] [Indexed: 04/29/2023] Open
Abstract
Glomerulopathies with nephrotic syndrome that are resistant to therapy often progress to end-stage chronic kidney disease (CKD) and require timely and accurate diagnosis. Targeted quantitative urine proteome analysis by mass spectrometry (MS) with multiple-reaction monitoring (MRM) is a promising tool for early CKD diagnostics that could replace the invasive biopsy procedure. However, there are few studies regarding the development of highly multiplexed MRM assays for urine proteome analysis, and the two MRM assays for urine proteomics described so far demonstrate very low consistency. Thus, the further development of targeted urine proteome assays for CKD is actual task. Herein, a BAK270 MRM assay previously validated for blood plasma protein analysis was adapted for urine-targeted proteomics. Because proteinuria associated with renal impairment is usually associated with an increased diversity of plasma proteins being present in urine, the use of this panel was appropriate. Another advantage of the BAK270 MRM assay is that it includes 35 potential CKD markers described previously. Targeted LC-MRM MS analysis was performed for 69 urine samples from 46 CKD patients and 23 healthy controls, revealing 138 proteins that were found in ≥2/3 of the samples from at least one of the groups. The results obtained confirm 31 previously proposed CKD markers. Combination of MRM analysis with machine learning for data processing was performed. As a result, a highly accurate classifier was developed (AUC = 0.99) that enables distinguishing between mild and severe glomerulopathies based on the assessment of only three urine proteins (GPX3, PLMN, and A1AT or SHBG).
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Affiliation(s)
- Alexey S Kononikhin
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
| | - Alexander G Brzhozovskiy
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology of the Ministry of Health, 117997 Moscow, Russia
| | - Anna E Bugrova
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology of the Ministry of Health, 117997 Moscow, Russia
- Emanuel Institute for Biochemical Physics, Russian Academy of Science, Kosygina Str. 4, 119334 Moscow, Russia
| | - Natalia V Chebotareva
- Nephrology Department, Sechenov First Moscow State Medical University, Trubezkaya 8, 119048 Moscow, Russia
- Department of Internal Medicine, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia
| | - Natalia V Zakharova
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
- Emanuel Institute for Biochemical Physics, Russian Academy of Science, Kosygina Str. 4, 119334 Moscow, Russia
| | - Savva Semenov
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia
| | - Anatoliy Vinogradov
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
- Department of Internal Medicine, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia
| | - Maria I Indeykina
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
- Emanuel Institute for Biochemical Physics, Russian Academy of Science, Kosygina Str. 4, 119334 Moscow, Russia
| | - Sergey Moiseev
- Nephrology Department, Sechenov First Moscow State Medical University, Trubezkaya 8, 119048 Moscow, Russia
| | - Irina M Larina
- Institute of Biomedical Problems, Russian Federation State Scientific Research Center, Russian Academy of Sciences, Khoroshevskoe Shosse 76A, 123007 Moscow, Russia
| | - Evgeny N Nikolaev
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
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4
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Mohammed Y, Goodlett D, Borchers CH. Absolute Quantitative Targeted Proteomics Assays for Plasma Proteins. Methods Mol Biol 2023; 2628:439-473. [PMID: 36781801 DOI: 10.1007/978-1-0716-2978-9_27] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Preclinical and clinical trials require rapid, precise, and multiplexed analytical methods to characterize the complex samples and to allow high-throughput biomarker monitoring with low consumption of sample material. Targeted proteomics has been used to address these challenges when quantifying protein abundances in complex biological matrices. In many of these studies, blood plasma is collected either as the main research or diagnostic sample or in combination with other specimens. Mass spectrometry (MS)-based targeted proteomics using multiple reaction monitoring (MRM) or parallel reaction monitoring (PRM) with stable isotope-labeled internal standard (SIS) peptides allows robust characterization of blood plasma protein via absolute quantification. Compared to other commonly used technologies like enzyme-linked immunosorbent assay (ELISA), targeted proteomics is faster, more sensitive, and more cost-effective. Here we describe a protocol for the quantification of proteins in blood plasma using targeted MRM proteomics with heavy-labeled internal standards. The 270-protein panel allows rapid and robust absolute quantitative proteomic characterization of blood plasma in a 1 h gradient. The method we describe here works for non-depleted plasma, which makes it simple and easy to implement. Moreover, the protocol works with the two most commonly used blood plasma collection methods used in practice, namely, either K2EDTA or sodium citrate as anticoagulants.
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Affiliation(s)
- Yassene Mohammed
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands. .,University of Victoria - Genome BC Proteomics Centre, Victoria, BC, Canada.
| | - David Goodlett
- University of Victoria - Genome BC Proteomics Centre, Victoria, BC, Canada.,Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada.,University of Gdansk, International Centre for Cancer Vaccine Science, Gdansk, Poland
| | - Christoph H Borchers
- Proteomics Centre, Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada.,Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, QC, Canada.,Division of Experimental Medicine, McGill University, Montreal, QC, Canada.,Department of Pathology, McGill University, Montreal, QC, Canada
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5
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Prognosis of Alzheimer’s Disease Using Quantitative Mass Spectrometry of Human Blood Plasma Proteins and Machine Learning. Int J Mol Sci 2022; 23:ijms23147907. [PMID: 35887259 PMCID: PMC9318764 DOI: 10.3390/ijms23147907] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/14/2022] [Accepted: 07/16/2022] [Indexed: 12/16/2022] Open
Abstract
Early recognition of the risk of Alzheimer’s disease (AD) onset is a global challenge that requires the development of reliable and affordable screening methods for wide-scale application. Proteomic studies of blood plasma are of particular relevance; however, the currently proposed differentiating markers are poorly consistent. The targeted quantitative multiple reaction monitoring (MRM) assay of the reported candidate biomarkers (CBs) can contribute to the creation of a consistent marker panel. An MRM-MS analysis of 149 nondepleted EDTA–plasma samples (MHRC, Russia) of patients with AD (n = 47), mild cognitive impairment (MCI, n = 36), vascular dementia (n = 8), frontotemporal dementia (n = 15), and an elderly control group (n = 43) was performed using the BAK 125 kit (MRM Proteomics Inc., Canada). Statistical analysis revealed a significant decrease in the levels of afamin, apolipoprotein E, biotinidase, and serum paraoxonase/arylesterase 1 associated with AD. Different training algorithms for machine learning were performed to identify the protein panels and build corresponding classifiers for the AD prognosis. Machine learning revealed 31 proteins that are important for AD differentiation and mostly include reported earlier CBs. The best-performing classifiers reached 80% accuracy, 79.4% sensitivity and 83.6% specificity and were able to assess the risk of developing AD over the next 3 years for patients with MCI. Overall, this study demonstrates the high potential of the MRM approach combined with machine learning to confirm the significance of previously identified CBs and to propose consistent protein marker panels.
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6
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Mohammed Y, Goodlett DR, Cheng MP, Vinh DC, Lee TC, Mcgeer A, Sweet D, Tran K, Lee T, Murthy S, Boyd JH, Singer J, Walley KR, Patrick DM, Quan C, Ismail S, Amar L, Pal A, Bassawon R, Fesdekjian L, Gou K, Lamontagne F, Marshall J, Haljan G, Fowler R, Winston BW, Russell JA. Longitudinal Plasma Proteomics Analysis Reveals Novel Candidate Biomarkers in Acute COVID-19. J Proteome Res 2022; 21:975-992. [PMID: 35143212 PMCID: PMC8864781 DOI: 10.1021/acs.jproteome.1c00863] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Indexed: 12/15/2022]
Abstract
The host response to COVID-19 pathophysiology over the first few days of infection remains largely unclear, especially the mechanisms in the blood compartment. We report on a longitudinal proteomic analysis of acute-phase COVID-19 patients, for which we used blood plasma, multiple reaction monitoring with internal standards, and data-independent acquisition. We measured samples on admission for 49 patients, of which 21 had additional samples on days 2, 4, 7, and 14 after admission. We also measured 30 externally obtained samples from healthy individuals for comparison at baseline. The 31 proteins differentiated in abundance between acute COVID-19 patients and healthy controls belonged to acute inflammatory response, complement activation, regulation of inflammatory response, and regulation of protein activation cascade. The longitudinal analysis showed distinct profiles revealing increased levels of multiple lipid-associated functions, a rapid decrease followed by recovery for complement activation, humoral immune response, and acute inflammatory response-related proteins, and level fluctuation in the regulation of smooth muscle cell proliferation, secretory mechanisms, and platelet degranulation. Three proteins were differentiated between survivors and nonsurvivors. Finally, increased levels of fructose-bisphosphate aldolase B were determined in patients with exposure to angiotensin receptor blockers versus decreased levels in those exposed to angiotensin-converting enzyme inhibitors. Data are available via ProteomeXchange PXD029437.
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Affiliation(s)
- Yassene Mohammed
- Genome BC Proteomics Centre, University
of Victoria, Victoria V8Z 5N3, British Columbia,
Canada
- Center for Proteomics and Metabolomics,
Leiden University Medical Center, Leiden 2333 ZA,
Netherlands
| | - David R. Goodlett
- Genome BC Proteomics Centre, University
of Victoria, Victoria V8Z 5N3, British Columbia,
Canada
- Department of Biochemistry and Microbiology,
University of Victoria, Victoria V8W 2Y2, British Columbia,
Canada
- International Centre for Cancer Vaccine Science,
University of Gdansk, Gdansk 80-822, European Union,
Poland
| | - Matthew P. Cheng
- Division of Infectious Diseases (Department of
Medicine), Division of Medical Microbiology (Department of Pathology and Laboratory
Medicine), McGill University Health Centre, Montreal H4A 3J1,
Quebec, Canada
| | - Donald C. Vinh
- Division of Infectious Diseases (Department of
Medicine), Division of Medical Microbiology (Department of Pathology and Laboratory
Medicine), McGill University Health Centre, Montreal H4A 3J1,
Quebec, Canada
| | - Todd C. Lee
- Department of Medicine, McGill
University, Montreal H4A 3J1, Quebec, Canada
| | - Allison Mcgeer
- Mt. Sinai Hospital and University of
Toronto, University Avenue, Toronto M5G 1X5, Ontario,
Canada
| | - David Sweet
- Division of Critical Care Medicine, Department of
Emergency Medicine, Vancouver General Hospital and University of British
Columbia, Vancouver V5Z 1M9, British Columbia,
Canada
| | - Karen Tran
- Division of General Internal Medicine,
Vancouver General Hospital and University of British
Columbia, Vancouver V5Z 1M9, British Columbia,
Canada
| | - Terry Lee
- Centre for Health Evaluation and Outcome Science
(CHEOS), St. Paul’s Hospital, University of British
Columbia, 1081 Burrard Street, Vancouver V6Z 1Y6, British Columbia,
Canada
| | - Srinivas Murthy
- BC Children’s Hospital,
University of British Columbia, Vancouver V6H 3N1, British Columbia,
Canada
| | - John H. Boyd
- Centre for Heart Lung Innovation, St.
Paul’s Hospital, University of British Columbia, 1081 Burrard
Street, Vancouver V6Z 1Y6, British Columbia, Canada
- Division of Critical Care Medicine, St.
Paul’s Hospital, University of British Columbia, 1081 Burrard
Street, Vancouver V6Z 1Y6, British Columbia, Canada
| | - Joel Singer
- Centre for Health Evaluation and Outcome Science
(CHEOS), St. Paul’s Hospital, University of British
Columbia, 1081 Burrard Street, Vancouver V6Z 1Y6, British Columbia,
Canada
| | - Keith R. Walley
- Centre for Heart Lung Innovation, St.
Paul’s Hospital, University of British Columbia, 1081 Burrard
Street, Vancouver V6Z 1Y6, British Columbia, Canada
- Division of Critical Care Medicine, St.
Paul’s Hospital, University of British Columbia, 1081 Burrard
Street, Vancouver V6Z 1Y6, British Columbia, Canada
| | - David M. Patrick
- British Columbia Centre for Disease
Control (BCCDC) and University of British Columbia, Vancouver V5Z 4R4,
British Columbia, Canada
| | - Curtis Quan
- Department of Medicine, McGill
University, Montreal H4A 3J1, Quebec, Canada
| | - Sara Ismail
- Department of Medicine, McGill
University, Montreal H4A 3J1, Quebec, Canada
| | - Laetitia Amar
- Department of Medicine, McGill
University, Montreal H4A 3J1, Quebec, Canada
| | - Aditya Pal
- Department of Medicine, McGill
University, Montreal H4A 3J1, Quebec, Canada
| | - Rayhaan Bassawon
- Department of Medicine, McGill
University, Montreal H4A 3J1, Quebec, Canada
| | - Lara Fesdekjian
- Department of Medicine, McGill
University, Montreal H4A 3J1, Quebec, Canada
| | - Karine Gou
- Department of Medicine, McGill
University, Montreal H4A 3J1, Quebec, Canada
| | | | - John Marshall
- Department of Surgery, St.
Michael’s Hospital, Toronto M5B 1W8, Ontario,
Canada
| | - Greg Haljan
- Division of Critical Care, Surrey
Memorial Hospital and University of British Columbia, Surrey V3V 1Z2,
British Columbia, Canada
| | - Robert Fowler
- Sunnybrook Health Sciences
Centre, Toronto M4N 3M5, Ontario, Canada
| | - Brent W. Winston
- Departments of Critical Care Medicine, Medicine and
Biochemistry and Molecular Biology, University of Calgary,
Calgary T2N 4N1, Alberta, Canada
| | - James A. Russell
- Centre for Heart Lung Innovation, St.
Paul’s Hospital, University of British Columbia, 1081 Burrard
Street, Vancouver V6Z 1Y6, British Columbia, Canada
- Division of Critical Care Medicine, St.
Paul’s Hospital, University of British Columbia, 1081 Burrard
Street, Vancouver V6Z 1Y6, British Columbia, Canada
| | - ARBs CORONA I
- Genome BC Proteomics Centre, University
of Victoria, Victoria V8Z 5N3, British Columbia,
Canada
- Center for Proteomics and Metabolomics,
Leiden University Medical Center, Leiden 2333 ZA,
Netherlands
- Department of Biochemistry and Microbiology,
University of Victoria, Victoria V8W 2Y2, British Columbia,
Canada
- International Centre for Cancer Vaccine Science,
University of Gdansk, Gdansk 80-822, European Union,
Poland
- Department of Medicine, McGill
University, Montreal H4A 3J1, Quebec, Canada
- Mt. Sinai Hospital and University of
Toronto, University Avenue, Toronto M5G 1X5, Ontario,
Canada
- Division of Critical Care Medicine, Department of
Emergency Medicine, Vancouver General Hospital and University of British
Columbia, Vancouver V5Z 1M9, British Columbia,
Canada
- Division of General Internal Medicine,
Vancouver General Hospital and University of British
Columbia, Vancouver V5Z 1M9, British Columbia,
Canada
- Centre for Health Evaluation and Outcome Science
(CHEOS), St. Paul’s Hospital, University of British
Columbia, 1081 Burrard Street, Vancouver V6Z 1Y6, British Columbia,
Canada
- BC Children’s Hospital,
University of British Columbia, Vancouver V6H 3N1, British Columbia,
Canada
- Centre for Heart Lung Innovation, St.
Paul’s Hospital, University of British Columbia, 1081 Burrard
Street, Vancouver V6Z 1Y6, British Columbia, Canada
- Division of Critical Care Medicine, St.
Paul’s Hospital, University of British Columbia, 1081 Burrard
Street, Vancouver V6Z 1Y6, British Columbia, Canada
- British Columbia Centre for Disease
Control (BCCDC) and University of British Columbia, Vancouver V5Z 4R4,
British Columbia, Canada
- University of Sherbrooke,
Sherbrooke J1K 2R1, Quebec, Canada
- Department of Surgery, St.
Michael’s Hospital, Toronto M5B 1W8, Ontario,
Canada
- Division of Critical Care, Surrey
Memorial Hospital and University of British Columbia, Surrey V3V 1Z2,
British Columbia, Canada
- Sunnybrook Health Sciences
Centre, Toronto M4N 3M5, Ontario, Canada
- Departments of Critical Care Medicine, Medicine and
Biochemistry and Molecular Biology, University of Calgary,
Calgary T2N 4N1, Alberta, Canada
- Division of Infectious Diseases (Department of
Medicine), Division of Medical Microbiology (Department of Pathology and Laboratory
Medicine), McGill University Health Centre, Montreal H4A 3J1,
Quebec, Canada
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7
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Mohammed Y, Touw CE, Nemeth B, van Adrichem RA, Borchers CH, Rosendaal FR, van Vlijmen BJ, Cannegieter SC. Targeted proteomics for evaluating risk of venous thrombosis following traumatic lower-leg injury or knee arthroscopy. J Thromb Haemost 2022; 20:684-699. [PMID: 34919779 PMCID: PMC9303526 DOI: 10.1111/jth.15623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 11/22/2021] [Accepted: 12/14/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Patients with lower-leg cast immobilization and patients undergoing knee arthroscopy have an increased risk of venous thrombosis (VT). Guidelines are ambiguous about thromboprophylaxis use, and individual risk factors for developing VT are often ignored. To assist in VT risk stratification and guide thromboprophylaxis use, various prediction models have been developed. These models depend largely on clinical factors and provide reasonably good C-statistics of around 70%. We explored using protein levels in blood plasma measured by multiplexed quantitative targeted proteomics to predict VT. Our aim was to assess whether a VT risk prediction model based on absolute plasma protein quantification is possible. METHODS We used internal standards to quantify proteins in less than 10 μl plasma. We measured 270 proteins in samples from patients scheduled for knee arthroscopy or with lower-leg cast immobilization. The two prospective POT-(K)CAST trails allow complementary views of VT signature in blood, namely pre and post trauma, respectively. From approximately 3000 patients, 31 patients developed VT who were included and matched with double the number of controls. RESULTS Top discriminating proteins between cases and controls included APOC3, APOC4, APOC2, ATRN, F13B, and F2 in knee arthroscopy patients and APOE, SERPINF2, B2M, F13B, AFM, and C1QC in patients with lower-leg cast. A logistic regression model with cross-validation resulted in C-statistics of 88.1% (95% CI: 85.7-90.6%) and 79.6% (95% CI: 77.2-82.0%) for knee arthroscopy and cast immobilization groups respectively. CONCLUSIONS Promising C-statistics merit further exploration of the value of proteomic tests for predicting VT risk upon additional validation.
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Affiliation(s)
- Yassene Mohammed
- Center for Proteomics and MetabolomicsLeiden University Medical CenterLeidenThe Netherlands
- University of Victoria ‐ Genome British Columbia Proteomics CentreVictoriaBritish ColumbiaCanada
| | - Carolina E. Touw
- Department of Clinical EpidemiologyLeiden University Medical CenterLeidenThe Netherlands
- Department of Orthopaedic SurgeryLeiden University Medical CenterLeidenThe Netherlands
| | - Banne Nemeth
- Department of Clinical EpidemiologyLeiden University Medical CenterLeidenThe Netherlands
- Department of Orthopaedic SurgeryLeiden University Medical CenterLeidenThe Netherlands
| | - Raymond A. van Adrichem
- Department of Clinical EpidemiologyLeiden University Medical CenterLeidenThe Netherlands
- Department of Orthopaedic SurgeryLeiden University Medical CenterLeidenThe Netherlands
| | - Christoph H. Borchers
- Segal Cancer Proteomics CentreSegal Cancer CentreLady Davis InstituteJewish General HospitalMcGill UniversityMontrealQuebecCanada
- Gerald Bronfman Department of OncologyJewish General Hospital, McGill UniversityMontrealQuebecCanada
- Department of Data Intensive Science and EngineeringSkolkovo Institute of Science and TechnologySkolkovo Innovation CenterMoscowRussia
| | - Frits R. Rosendaal
- Department of Clinical EpidemiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Bart J. van Vlijmen
- Einthoven Laboratory for Experimental Vascular MedicineDepartment of Internal MedicineDivision of Thrombosis & HemostasisLeiden University Medical CenterLeidenThe Netherlands
| | - Suzanne C. Cannegieter
- Department of Clinical EpidemiologyLeiden University Medical CenterLeidenThe Netherlands
- Einthoven Laboratory for Experimental Vascular MedicineDepartment of Internal MedicineDivision of Thrombosis & HemostasisLeiden University Medical CenterLeidenThe Netherlands
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8
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Calvete JJ, Pla D, Els J, Carranza S, Damm M, Hempel BF, John EBO, Petras D, Heiss P, Nalbantsoy A, Göçmen B, Süssmuth RD, Calderón-Celis F, Nosti AJ, Encinar JR. Combined Molecular and Elemental Mass Spectrometry Approaches for Absolute Quantification of Proteomes: Application to the Venomics Characterization of the Two Species of Desert Black Cobras, Walterinnesia aegyptia and Walterinnesia morgani. J Proteome Res 2021; 20:5064-5078. [PMID: 34606723 PMCID: PMC8576837 DOI: 10.1021/acs.jproteome.1c00608] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
![]()
We report a novel hybrid, molecular
and elemental mass spectrometry
(MS) setup for the absolute quantification of snake venom proteomes
shown here for two desert black cobra species within the genus Walterinnesia, Walterinnesia aegyptia and Walterinnesia morgani. The experimental
design includes the decomplexation of the venom samples by reverse-phase
chromatography independently coupled to four mass spectrometry systems:
the combined bottom-up and top-down molecular MS for protein identification
and a parallel reverse-phase microbore high-performance liquid chromatograph
(RP-μHPLC) on-line to inductively coupled plasma (ICP-MS/MS)
elemental mass spectrometry and electrospray ionization quadrupole
time-of-flight mass spectrometry (ESI-QToF MS). This allows to continuously
record the absolute sulfur concentration throughout the chromatogram
and assign it to the parent venom proteins separated in the RP-μHPLC-ESI-QToF
parallel run via mass profiling. The results provide a locus-resolved
and quantitative insight into the three desert black cobra venom proteome
samples. They also validate the units of measure of our snake venomics
strategy for the relative quantification of snake venom proteomes
as % of total venom peptide bonds as a proxy for the % by weight of
the venom toxins/toxin families. In a more general context, our work
may pave the way for broader applications of hybrid elemental/molecular
MS setups in diverse areas of proteomics.
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Affiliation(s)
- Juan J Calvete
- Laboratorio de Venómica Evolutiva y Traslational, Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (CSIC), Jaume Roig 11, 46010 Valencia, Spain
| | - Davinia Pla
- Laboratorio de Venómica Evolutiva y Traslational, Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (CSIC), Jaume Roig 11, 46010 Valencia, Spain
| | - Johannes Els
- Environment and Protected Areas Authority, 82828 Sharjah, United Arab Emirates
| | - Salvador Carranza
- Institute of Evolutionary Biology, CSIC-Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Maik Damm
- Department of Chemistry, Technische Universität Berlin, 10623 Berlin, Germany
| | - Benjamin-Florian Hempel
- Department of Chemistry, Technische Universität Berlin, 10623 Berlin, Germany.,BIH Center for Regenerative Therapies BCRT, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany
| | - Elisa B O John
- Center of Biotechnology, Universidade Federal do Rio Grande do Sul, CEP 91501-970 Porto Alegre, RS, Brazil
| | - Daniel Petras
- CMFI Cluster of Excellence, Interfaculty Institute of Microbiology and Medicine, University of Túbingen, 72076 Tübingen, Germany
| | - Paul Heiss
- Department of Chemistry, Technische Universität Berlin, 10623 Berlin, Germany
| | - Ayse Nalbantsoy
- Department of Bioengineering, Faculty of Engineering, Ege University, 35100 Bornova, Izmir, Turkey
| | - Bayram Göçmen
- Zoology Section, Department of Biology, Faculty of Science, Ege University, 35100 Bornova, Izmir, Turkey
| | - Roderich D Süssmuth
- Department of Chemistry, Technische Universität Berlin, 10623 Berlin, Germany
| | | | - Alicia Jiménez Nosti
- Department of Physical and Analytical Chemistry, University of Oviedo, 33006 Oviedo, Spain
| | - Jorge Ruiz Encinar
- Department of Physical and Analytical Chemistry, University of Oviedo, 33006 Oviedo, Spain
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9
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Sun H, Li Q, Lu Y, Jin Z, Yi Ju. A protein standard addition method for absolute quantification of cystatin C in human serum by LC-MS/MS. Clin Chem Lab Med 2021; 59:e426-e427. [PMID: 34047143 DOI: 10.1515/cclm-2021-0315] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 05/10/2021] [Indexed: 11/15/2022]
Affiliation(s)
- Hewei Sun
- Shanghai Center for Clinical Laboratory, Shanghai, P. R. China
| | - Qing Li
- Shanghai Center for Clinical Laboratory, Shanghai, P. R. China
| | - Yide Lu
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiaotong University Medical School, Shanghai, P. R. China
| | - Zhonggan Jin
- Shanghai Center for Clinical Laboratory, Shanghai, P. R. China
| | - Yi Ju
- Shanghai Center for Clinical Laboratory, Shanghai, P. R. China
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10
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Mohammed Y, Michaud SA, Pětrošová H, Yang J, Ganguly M, Schibli D, Flenniken AM, Nutter LMJ, Adissu HA, Lloyd KCK, McKerlie C, Borchers CH. Proteotyping of knockout mouse strains reveals sex- and strain-specific signatures in blood plasma. NPJ Syst Biol Appl 2021; 7:25. [PMID: 34050187 PMCID: PMC8163790 DOI: 10.1038/s41540-021-00184-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 04/25/2021] [Indexed: 11/24/2022] Open
Abstract
We proteotyped blood plasma from 30 mouse knockout strains and corresponding wild-type mice from the International Mouse Phenotyping Consortium. We used targeted proteomics with internal standards to quantify 375 proteins in 218 samples. Our results provide insights into the manifested effects of each gene knockout at the plasma proteome level. We first investigated possible contamination by erythrocytes during sample preparation and labeled, in one case, up to 11 differential proteins as erythrocyte originated. Second, we showed that differences in baseline protein abundance between female and male mice were evident in all mice, emphasizing the necessity to include both sexes in basic research, target discovery, and preclinical effect and safety studies. Next, we identified the protein signature of each gene knockout and performed functional analyses for all knockout strains. Further, to demonstrate how proteome analysis identifies the effect of gene deficiency beyond traditional phenotyping tests, we provide in-depth analysis of two strains, C8a-/- and Npc2+/-. The proteins encoded by these genes are well-characterized providing good validation of our method in homozygous and heterozygous knockout mice. Ig alpha chain C region, a poorly characterized protein, was among the differentiating proteins in C8a-/-. In Npc2+/- mice, where histopathology and traditional tests failed to differentiate heterozygous from wild-type mice, our data showed significant difference in various lysosomal storage disease-related proteins. Our results demonstrate how to combine absolute quantitative proteomics with mouse gene knockout strategies to systematically study the effect of protein absence. The approach used here for blood plasma is applicable to all tissue protein extracts.
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Affiliation(s)
- Yassene Mohammed
- University of Victoria-Genome BC Proteomics Centre, Victoria, BC, Canada.
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands.
| | - Sarah A Michaud
- University of Victoria-Genome BC Proteomics Centre, Victoria, BC, Canada.
| | - Helena Pětrošová
- University of Victoria-Genome BC Proteomics Centre, Victoria, BC, Canada
| | - Juncong Yang
- University of Victoria-Genome BC Proteomics Centre, Victoria, BC, Canada
| | - Milan Ganguly
- The Center for Phenogenomics, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | - David Schibli
- University of Victoria-Genome BC Proteomics Centre, Victoria, BC, Canada
| | - Ann M Flenniken
- The Center for Phenogenomics, Toronto, ON, Canada
- Sinai Health Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada
| | - Lauryl M J Nutter
- The Center for Phenogenomics, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | | | - K C Kent Lloyd
- Department of Surgery, School of Medicine, and Mouse Biology Program, University of California, Davis, CA, USA
| | | | - Christoph H Borchers
- Proteomics Centre, Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada.
- Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, QC, Canada.
- Department of Data Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, Moscow, Russia.
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11
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Detailed Method for Performing the ExSTA Approach in Quantitative Bottom-Up Plasma Proteomics. Methods Mol Biol 2021; 2228:353-384. [PMID: 33950503 DOI: 10.1007/978-1-0716-1024-4_25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
The use of stable isotope-labeled standards (SIS) is an analytically valid means of quantifying proteins in biological samples. The nature of the labeled standards and their point of insertion in a bottom-up proteomic workflow can vary, with quantification methods utilizing curves in analytically sound practices. A promising quantification strategy for low sample amounts is external standard addition (ExSTA). In ExSTA, multipoint calibration curves are generated in buffer using serially diluted natural (NAT) peptides and a fixed concentration of SIS peptides. Equal concentrations of SIS peptides are spiked into experimental sample digests, with all digests (control and experimental) subjected to solid-phase extraction prior to liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis. Endogenous peptide concentrations are then determined using the regression equation of the standard curves. Given the benefits of ExSTA in large-scale analysis, a detailed protocol is provided herein for quantifying a multiplexed panel of 125 high-to-moderate abundance proteins in undepleted and non-enriched human plasma samples. The procedural details and recommendations for successfully executing all phases of this quantification approach are described. As the proteins have been putatively correlated with various noncommunicable diseases, quantifying these by ExSTA in large-scale studies should help rapidly and precisely assess their true biomarker efficacy.
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12
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Mohammed Y, Bhowmick P, Michaud SA, Sickmann A, Borchers CH. Mouse Quantitative Proteomics Knowledgebase: reference protein concentration ranges in 20 mouse tissues using 5000 quantitative proteomics assays. Bioinformatics 2021; 37:1900-1908. [PMID: 33483739 DOI: 10.1093/bioinformatics/btab018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 12/12/2020] [Accepted: 01/08/2021] [Indexed: 12/21/2022] Open
Abstract
Laboratory mouse is the most used animal model in biological research, largely due to its high conserved synteny with human. Researchers use mice to answer various questions ranging from determining a pathological effect of knocked out/in gene to understanding drug metabolism. Our group developed >5000 quantitative targeted proteomics assays for 20 mouse tissues and determined the concentration ranges of a total of more than 1600 proteins using heavy labelled internal standards. We describe here MouseQuaPro; a knowledgebase that hosts this collection of carefully curated experimental data. The Web-based application includes protein concentrations from >700 mouse tissue samples from three common research strains, corresponding to more than 200k experimentally determined concentrations. The knowledgebase integrates the assay and protein concentration information with their human orthologs, functional and molecular annotations, biological pathways, related human diseases, and known gene expressions. At its core are the protein concentration ranges, which provide insights into (dis)similarities between tissues, strains, and sexes. MouseQuaPro implements advanced search as well as filtering functionalities with a simple interface and interactive visualization. This information-rich resource provides an initial map of protein absolute concentration in mouse tissues and allows guided design of proteomics phenotyping experiments. The knowledgebase is available at mousequapro.proteincentre.com. (Reviewer access username and password: mousequapro_reviewer1234567).
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Affiliation(s)
- Yassene Mohammed
- University of Victoria-Genome BC Proteomics Centre, Victoria, BC, Canada.,Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
| | - Pallab Bhowmick
- University of Victoria-Genome BC Proteomics Centre, Victoria, BC, Canada
| | - Sarah A Michaud
- University of Victoria-Genome BC Proteomics Centre, Victoria, BC, Canada
| | - Albert Sickmann
- Leibniz Institut für Analytische Wissenschaften-ISAS-e. V, Dortmund, Germany
| | - Christoph H Borchers
- University of Victoria, Victoria, BC, Canada.,Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, Quebec, Canada
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13
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Hamza GM, Bergo VB, Mamaev S, Wojchowski DM, Toran P, Worsfold CR, Castaldi MP, Silva JC. Affinity-Bead Assisted Mass Spectrometry (Affi-BAMS): A Multiplexed Microarray Platform for Targeted Proteomics. Int J Mol Sci 2020; 21:E2016. [PMID: 32188029 PMCID: PMC7139916 DOI: 10.3390/ijms21062016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 03/10/2020] [Accepted: 03/13/2020] [Indexed: 02/06/2023] Open
Abstract
The ability to quantitatively probe diverse panels of proteins and their post-translational modifications (PTMs) across multiple samples would aid a broad spectrum of biological, biochemical and pharmacological studies. We report a novel, microarray analytical technology that combines immuno-affinity capture with Matrix Assisted Laser Desorption Ionization Mass Spectrometry (MALDI MS), which is capable of supporting highly multiplexed, targeted proteomic assays. Termed "Affinity-Bead Assisted Mass Spectrometry" (Affi-BAMS), this LC-free technology enables development of highly specific and customizable assay panels for simultaneous profiling of multiple proteins and PTMs. While affinity beads have been used previously in combination with MS, the Affi-BAMS workflow uses enrichment on a single bead that contains one type of antibody, generally capturing a single analyte (protein or PTM) while having enough binding capacity to enable quantification within approximately 3 orders of magnitude. The multiplexing capability is achieved by combining Affi-BAMS beads with different protein specificities. To enable screening of bead-captured analytes by MS, we further developed a novel method of performing spatially localized elution of targets from individual beads arrayed on a microscope slide. The resulting arrays of micro spots contain highly concentrated analytes localized within 0.5 mm diameter spots that can be directly measured using MALDI MS. While both intact proteins and protein fragments can be monitored by Affi-BAMS, we initially focused on applying this technology for bottom-up proteomics to enable screening of hundreds of samples per day by combining the robust magnetic bead-based workflow with the high throughput nature of MALDI MS acquisition. To demonstrate the variety of applications and robustness of Affi-BAMS, several studies are presented that focus on the response of 4EBP1, RPS6, ERK1/ERK2, mTOR, Histone H3 and C-MET to stimuli including rapamycin, H2O2, EPO, SU11274, Staurosporine and Vorinostat.
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Affiliation(s)
- Ghaith M. Hamza
- Discovery Sciences, BioPharmaceutical R&D, AstraZeneca, Boston, MA 02451, USA; (G.M.H.); (M.P.C.)
- Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA; (D.M.W.); (P.T.)
| | - Vladislav B. Bergo
- Adeptrix Corporation, Beverly, MA 01915, USA; (V.B.B.); (S.M.); (C.R.W.)
| | - Sergey Mamaev
- Adeptrix Corporation, Beverly, MA 01915, USA; (V.B.B.); (S.M.); (C.R.W.)
| | - Don M. Wojchowski
- Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA; (D.M.W.); (P.T.)
| | - Paul Toran
- Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA; (D.M.W.); (P.T.)
| | | | - M. Paola Castaldi
- Discovery Sciences, BioPharmaceutical R&D, AstraZeneca, Boston, MA 02451, USA; (G.M.H.); (M.P.C.)
| | - Jeffrey C. Silva
- Adeptrix Corporation, Beverly, MA 01915, USA; (V.B.B.); (S.M.); (C.R.W.)
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14
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Mohammed Y, Kootte RS, Kopatz WF, Borchers CH, Büller HR, Versteeg HH, Nieuwdorp M, van Mens TE. The intestinal microbiome potentially affects thrombin generation in human subjects. J Thromb Haemost 2020; 18:642-650. [PMID: 31808596 PMCID: PMC7065057 DOI: 10.1111/jth.14699] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 11/06/2019] [Accepted: 11/27/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND The intestinal microbiome plays a versatile role in the etiology of arterial thrombosis. In venous thrombosis, driven chiefly by plasma coagulation, no such role has yet been established. We hypothesized that the intestinal microbiome composition affects coagulation in humans. METHODS We used healthy donor fecal microbiota transplant (FMT) to experimentally change the microbiome composition in metabolic syndrome patients. Thirty-five subjects were randomized in a blinded fashion to healthy donor FMT or autologous FMT as a control in a 2:1 ratio. We measured thrombin generation at baseline and after 6 weeks using automated calibrated thrombinography, and we determined plasma abundance of 32 coagulation related proteins using a targeted mass spectrometry-based quantitative proteomics assay with heavy labeled internal standards. RESULTS Healthy donor FMT prolonged the thrombinography lag time (median delta 0.0 versus 0.25 minutes, P = .039). The other thrombinography parameters showed no significant difference. Unsupervised cluster analysis suggested overall downregulation of coagulation related plasma proteins in subject clusters containing predominantly subjects that had a metabolic response to healthy donor FMT. FMT treatment status itself showed no clear clustering pattern with up- or downregulation, however, and proteins did not cluster according to an apparent biological grouping. DISCUSSION A single healthy donor FMT tends to modestly suppress the onset thrombin generation in metabolic syndrome patients, representing initial proof-of-principle that the intestinal microbiota composition might affect the coagulation system in humans. The findings merit external validation as a role for intestinal microbiota in coagulation can have clinically important implications.
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Affiliation(s)
- Yassene Mohammed
- Center for Proteomics and MetabolomicsLeiden University Medical CenterLeidenthe Netherlands
- University of Victoria‐Genome BC Proteomics CentreUniversity of VictoriaVictoriaBCCanada
- Division of Medical SciencesUniversity of VictoriaVictoriaBCCanada
| | - Ruud S. Kootte
- Department of Vascular MedicineAmsterdam Cardiovascular SciencesAmsterdam UMC, University of AmsterdamAmsterdamthe Netherlands
| | - Wil F. Kopatz
- Department of Vascular MedicineAmsterdam Cardiovascular SciencesAmsterdam UMC, University of AmsterdamAmsterdamthe Netherlands
| | - Christoph H. Borchers
- University of Victoria‐Genome BC Proteomics CentreUniversity of VictoriaVictoriaBCCanada
- Department of Biochemistry and MicrobiologyUniversity of VictoriaVictoriaBCCanada
- Proteomics CentreSegal Cancer CentreLady Davis InstituteJewish General HospitalMcGill UniversityMontrealQCCanada
| | - Harry R. Büller
- Department of Vascular MedicineAmsterdam Cardiovascular SciencesAmsterdam UMC, University of AmsterdamAmsterdamthe Netherlands
| | - Henri H. Versteeg
- Department of Internal MedicineEinthoven Laboratory for Experimental Vascular MedicineLeiden University Medical CenterLeidenthe Netherlands
| | - Max Nieuwdorp
- Department of Vascular MedicineAmsterdam Cardiovascular SciencesAmsterdam UMC, University of AmsterdamAmsterdamthe Netherlands
| | - Thijs E. van Mens
- Department of Vascular MedicineAmsterdam Cardiovascular SciencesAmsterdam UMC, University of AmsterdamAmsterdamthe Netherlands
- Department of Vascular MedicineAmsterdam Reproduction and DevelopmentAmsterdam UMCUniversity of AmsterdamAmsterdamthe Netherlands
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15
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Eshghi A, Pistawka AJ, Liu J, Chen M, Sinclair NJT, Hardie DB, Elliott M, Chen L, Newman R, Mohammed Y, Borchers CH. Concentration Determination of >200 Proteins in Dried Blood Spots for Biomarker Discovery and Validation. Mol Cell Proteomics 2020; 19:540-553. [PMID: 31896676 PMCID: PMC7050112 DOI: 10.1074/mcp.tir119.001820] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 12/06/2019] [Indexed: 12/26/2022] Open
Abstract
The use of protein biomarkers as surrogates for clinical endpoints requires extensive multilevel validation including development of robust and sensitive assays for precise measurement of protein concentration. Multiple reaction monitoring (MRM) is a well-established mass-spectrometric method that can be used for reproducible protein-concentration measurements in biological specimens collected via microsampling. The dried blood spot (DBS) microsampling technique can be performed non-invasively without the expertise of a phlebotomist, and can enhance analyte stability which facilitate the application of this technique in retrospective studies while providing lower storage and shipping costs, because cold-chain logistics can be eliminated. Thus, precise, sensitive, and multiplexed methods for measuring protein concentrations in DBSs can be used for de novo biomarker discovery and for biomarker quantification or verification experiments. To achieve this goal, MRM assays were developed for multiplexed concentration measurement of proteins in DBSs.The lower limit of quantification (LLOQ) was found to have a median total coefficient of variation (CV) of 18% for 245 proteins, whereas the median LLOQ was 5 fmol of peptide injected on column, and the median inter-day CV over 4 days for measuring endogenous protein concentration was 8%. The majority (88%) of the assays displayed parallelism, whereas the peptide standards remained stable throughout the assay workflow and after exposure to multiple freeze-thaw cycles. For 190 proteins, the measured protein concentrations remained stable in DBS stored at ambient laboratory temperature for up to 2 months. Finally, the developed assays were used to measure the concentration ranges for 200 proteins in twenty same sex, same race and age matched individuals.
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Affiliation(s)
- Azad Eshghi
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada.
| | - Adam J Pistawka
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Jun Liu
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 2B5, Canada
| | - Michael Chen
- Island Medical Program, Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 2B5, Canada
| | - Nicholas J T Sinclair
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Darryl B Hardie
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Monica Elliott
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Lei Chen
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Rachael Newman
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Yassene Mohammed
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada; Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Christoph H Borchers
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada; Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia V8P 5C2, Canada; Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada; Gerald Bronfman Department of Oncology, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada; Department of Data Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, Nobel St., Moscow143026, Russia.
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16
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Mohammed Y, Pan J, Zhang S, Han J, Borchers CH. ExSTA: External Standard Addition Method for Accurate High-Throughput Quantitation in Targeted Proteomics Experiments. Proteomics Clin Appl 2018; 12:1600180. [PMID: 28895300 PMCID: PMC6084352 DOI: 10.1002/prca.201600180] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 08/09/2017] [Indexed: 11/08/2022]
Abstract
PURPOSE Targeted proteomics using MRM with stable-isotope-labeled internal-standard (SIS) peptides is the current method of choice for protein quantitation in complex biological matrices. Better quantitation can be achieved with the internal standard-addition method, where successive increments of synthesized natural form (NAT) of the endogenous analyte are added to each sample, a response curve is generated, and the endogenous concentration is determined at the x-intercept. Internal NAT-addition, however, requires multiple analyses of each sample, resulting in increased sample consumption and analysis time. EXPERIMENTAL DESIGN To compare the following three methods, an MRM assay for 34 high-to-moderate abundance human plasma proteins is used: classical internal SIS-addition, internal NAT-addition, and external NAT-addition-generated in buffer using NAT and SIS peptides. Using endogenous-free chicken plasma, the accuracy is also evaluated. RESULTS The internal NAT-addition outperforms the other two in precision and accuracy. However, the curves derived by internal vs. external NAT-addition differ by only ≈3.8% in slope, providing comparable accuracies and precision with good CV values. CONCLUSIONS AND CLINICAL RELEVANCE While the internal NAT-addition method may be "ideal", this new external NAT-addition can be used to determine the concentration of high-to-moderate abundance endogenous plasma proteins, providing a robust and cost-effective alternative for clinical analyses or other high-throughput applications.
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Affiliation(s)
- Yassene Mohammed
- University of Victoria ‐ Genome British Columbia Proteomics CentreVictoriaCanada
- Center for Proteomics and MetabolomicsLeiden University Medical CenterLeidenthe Netherlands
| | - Jingxi Pan
- University of Victoria ‐ Genome British Columbia Proteomics CentreVictoriaCanada
| | - Suping Zhang
- MRM Proteomics Inc.VictoriaBritish ColumbiaCanada
| | - Jun Han
- University of Victoria ‐ Genome British Columbia Proteomics CentreVictoriaCanada
| | - Christoph H. Borchers
- University of Victoria ‐ Genome British Columbia Proteomics CentreVictoriaCanada
- University of VictoriaDepartment of Biochemistry and MicrobiologyVictoriaBCCanada
- Gerald Bronfman Department of OncologyJewish General HospitalMcGill UniversityMontrealQuebecCanada
- Proteomics CentreSegal Cancer CentreLady Davis InstituteJewish General HospitalMcGill UniversityMontrealQuebecCanada
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