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Frey C, Arad M, Ku K, Hare R, Balagtas R, Shi Y, Moon KM, Foster LJ, Ghafourifar G. Development of automated proteomic workflows utilizing silicon-based coupling agents. J Proteomics 2024; 303:105215. [PMID: 38843981 DOI: 10.1016/j.jprot.2024.105215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 05/28/2024] [Accepted: 06/03/2024] [Indexed: 06/16/2024]
Abstract
Automated methods for enzyme immobilization via 4-triethoxysilylbutyraldehyde (TESB) derived silicone-based coupling agents were developed. TESB and its oxidized derivative, 4-triethoxysilylbutanoic acid (TESBA), were determined to be the most effective. The resulting immobilized enzyme particles (IEPs) displayed robustness, rapid digestion, and immobilization efficiency of 51 ± 8%. Furthermore, we automated the IEP procedure, allowing for multiple enzymes, and/or coupling agents to be fabricated at once, in a fraction of the time via an Agilent Bravo. The automated trypsin TESB and TESBA IEPs were shown to rival a classical in-gel digestion method. Moreover, pepsin IEPs favored cleavage at leucine (>50%) over aromatic and methionine residues. The IEP method was then adapted for an in-situ immobilized enzyme microreactor (IMER) fabrication. We determined that TESBA could functionalize the silica capillary's inner wall while simultaneously acting as an enzyme coupler. The IMER digestion of bovine serum albumin (BSA), mirroring IEP digestion conditions, yielded a 33-40% primary sequence coverage per LC-MS/MS analysis in as little as 15 min. Overall, our findings underscore the potential of both IEP and IMER methods, paving the way for automated analysis and a reduction in enzyme waste through reuse, thereby contributing to a more cost-effective and timely study of the proteome. SIGNIFICANCE: This research introduces 4-triethoxysilylbutyraldehyde (TESB) and its derivatives as silicon-based enzyme coupling agents and an automated liquid handling method for bottom-up proteomics (BUP) while streamlining sample preparation for high-throughput processing. Additionally, immobilized enzyme particle (IEP) fabrication and digestion within the 96-well plate allows for flexibility in protocol where different enzyme-coupler combinations can be employed simultaneously. By enabling the digestion of entire microplates and reducing manual labor, the proposed method enhances reproducibility and offers a more efficient alternative to classical in-gel techniques. Furthermore, pepsin IEPs were noted to favor cleavage at leucine residues which represents an interesting finding when compared to the literature that warrants further study. The capability of immobilized enzyme microreactors (IMER) for rapid digestion (in as little as 15 min) demonstrated the system's efficiency and potential for rapid proteomic analysis. This advancement in BUP not only improves efficiency, but also opens avenues for a fully automated, mass spectrometry-integrated proteomics workflow, promising to expedite research and discoveries in complex biological studies.
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Affiliation(s)
- Connor Frey
- Department of Chemistry, University of the Fraser Valley, 33844 King Road, Abbotsford, BC V2S 7M8, Canada; Faculty of Medicine, University of British Columbia, 2194 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada.
| | - Maor Arad
- Department of Chemistry, University of the Fraser Valley, 33844 King Road, Abbotsford, BC V2S 7M8, Canada; Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC V6T1Z4, Canada.
| | - Kenneth Ku
- Department of Chemistry, University of the Fraser Valley, 33844 King Road, Abbotsford, BC V2S 7M8, Canada
| | - Rhien Hare
- Department of Chemistry, University of the Fraser Valley, 33844 King Road, Abbotsford, BC V2S 7M8, Canada; Faculty of Health Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada.
| | - Ronald Balagtas
- Department of Chemistry, University of the Fraser Valley, 33844 King Road, Abbotsford, BC V2S 7M8, Canada.
| | - Yuming Shi
- Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC V6T1Z4, Canada.
| | - Kyung-Mee Moon
- Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC V6T1Z4, Canada.
| | - Leonard J Foster
- Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC V6T1Z4, Canada.
| | - Golfam Ghafourifar
- Department of Chemistry, University of the Fraser Valley, 33844 King Road, Abbotsford, BC V2S 7M8, Canada.
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2
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Ciordia S, Santos FM, Dias JML, Lamas JR, Paradela A, Alvarez-Sola G, Ávila MA, Corrales F. Refinement of paramagnetic bead-based digestion protocol for automatic sample preparation using an artificial neural network. Talanta 2024; 274:125988. [PMID: 38569368 DOI: 10.1016/j.talanta.2024.125988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
Despite technological advances in the proteomics field, sample preparation still represents the main bottleneck in mass spectrometry (MS) analysis. Bead-based protein aggregation techniques have recently emerged as an efficient, reproducible, and high-throughput alternative for protein extraction and digestion. Here, a refined paramagnetic bead-based digestion protocol is described for Opentrons® OT-2 platform (OT-2) as a versatile, reproducible, and affordable alternative for the automatic sample preparation for MS analysis. For this purpose, an artificial neural network (ANN) was applied to maximize the number of peptides without missed cleavages identified in HeLa extract by combining factors such as the quantity (μg) of trypsin/Lys-C and beads (MagReSyn® Amine), % (w/v) SDS, % (v/v) acetonitrile, and time of digestion (h). ANN model predicted the optimal conditions for the digestion of 50 μg of HeLa extract, pointing to the use of 2.5% (w/v) SDS and 300 μg of beads for sample preparation and long-term digestion (16h) with 0.15 μg Lys-C and 2.5 μg trypsin (≈1:17 ratio). Based on the results of the ANN model, the manual protocol was automated in OT-2. The performance of the automatic protocol was evaluated with different sample types, including human plasma, Arabidopsis thaliana leaves, Escherichia coli cells, and mouse tissue cortex, showing great reproducibility and low sample-to-sample variability in all cases. In addition, we tested the performance of this method in the preparation of a challenging biological fluid such as rat bile, a proximal fluid that is rich in bile salts, bilirubin, cholesterol, and fatty acids, among other MS interferents. Compared to other protocols described in the literature for the extraction and digestion of bile proteins, the method described here allowed identify 385 unique proteins, thus contributing to improving the coverage of the bile proteome.
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Affiliation(s)
- Sergio Ciordia
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain
| | - Fátima Milhano Santos
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain
| | - João M L Dias
- Department of Medical Genetics, University of Cambridge, Cambridge, United Kingdom; Early Cancer Institute, University of Cambridge, Cambridge, United Kingdom
| | - José Ramón Lamas
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain
| | - Alberto Paradela
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain
| | - Gloria Alvarez-Sola
- Hepatology Laboratory, Solid Tumors Program, Center for Applied Medical Research (CIMA), University of Navarra, 31008, Pamplona, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), 28029, Madrid, Spain; IdiSNA, Navarra Institute for Health Research, 31008, Pamplona, Spain
| | - Matías A Ávila
- Hepatology Laboratory, Solid Tumors Program, Center for Applied Medical Research (CIMA), University of Navarra, 31008, Pamplona, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), 28029, Madrid, Spain; IdiSNA, Navarra Institute for Health Research, 31008, Pamplona, Spain
| | - Fernando Corrales
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain.
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3
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Brough Z, Zhao Z, Duong van Hoa F. From bottom-up to cell surface proteomics: detergents or no detergents, that is the question. Biochem Soc Trans 2024; 52:1253-1263. [PMID: 38666604 DOI: 10.1042/bst20231020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/09/2024] [Accepted: 04/15/2024] [Indexed: 06/27/2024]
Abstract
Measuring the expression levels of membrane proteins (MPs) is crucial for understanding cell differentiation and tissue specificity, defining disease characteristics, identifying biomarkers, and developing therapeutics. While bottom-up proteomics addresses the need for accurately surveying the membrane proteome, the lower abundance and hydrophobic nature of MPs pose challenges in sample preparation. As MPs normally reside in the lipid bilayer, conventional extraction methods rely on detergents, introducing here a paradox - detergents prevent aggregation and facilitate protein processing, but themselves become contaminants that interfere with downstream analytical applications. Various detergent removal methods exist to mitigate this issue, including filter-aided sample preparation, SP3, suspension trapping, and membrane mimetics. This review delves into the fundamentals of each strategy, applications, merits, and limitations, providing insights into their effectiveness in MP research.
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Affiliation(s)
- Zora Brough
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z3
| | - Zhiyu Zhao
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z3
| | - Franck Duong van Hoa
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z3
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4
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Martin KR, Le HT, Abdelgawad A, Yang C, Lu G, Keffer JL, Zhang X, Zhuang Z, Asare-Okai PN, Chan CS, Batish M, Yu Y. Development of an efficient, effective, and economical technology for proteome analysis. CELL REPORTS METHODS 2024; 4:100796. [PMID: 38866007 PMCID: PMC11228373 DOI: 10.1016/j.crmeth.2024.100796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/21/2024] [Accepted: 05/20/2024] [Indexed: 06/14/2024]
Abstract
We present an efficient, effective, and economical approach, named E3technology, for proteomics sample preparation. By immobilizing silica microparticles into the polytetrafluoroethylene matrix, we develop a robust membrane medium, which could serve as a reliable platform to generate proteomics-friendly samples in a rapid and low-cost fashion. We benchmark its performance using different formats and demonstrate them with a variety of sample types of varied complexity, quantity, and volume. Our data suggest that E3technology provides proteome-wide identification and quantitation performance equivalent or superior to many existing methods. We further propose an enhanced single-vessel approach, named E4technology, which performs on-filter in-cell digestion with minimal sample loss and high sensitivity, enabling low-input and low-cell proteomics. Lastly, we utilized the above technologies to investigate RNA-binding proteins and profile the intact bacterial cell proteome.
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Affiliation(s)
- Katherine R Martin
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
| | - Ha T Le
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
| | - Ahmed Abdelgawad
- Department of Biological Sciences, University of Delaware, Newark, DE 19716, USA; Department of Medical and Molecular Sciences, University of Delaware, Newark, DE 19716, USA
| | - Canyuan Yang
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
| | - Guotao Lu
- CDS Analytical, LLC, Oxford, PA 19363, USA
| | - Jessica L Keffer
- Department of Earth Sciences, University of Delaware, Newark, DE 19716, USA
| | | | - Zhihao Zhuang
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
| | - Papa Nii Asare-Okai
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
| | - Clara S Chan
- Department of Earth Sciences, University of Delaware, Newark, DE 19716, USA; School of Marine Science and Policy, University of Delaware, Newark, DE 19716, USA
| | - Mona Batish
- Department of Biological Sciences, University of Delaware, Newark, DE 19716, USA; Department of Medical and Molecular Sciences, University of Delaware, Newark, DE 19716, USA.
| | - Yanbao Yu
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA.
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5
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Rudolf-Scholik J, Lilek D, Maier M, Reischenböck T, Maisl C, Allram J, Herbinger B, Rechthaler J. Increasing protein identifications in bottom-up proteomics of T. castaneum - Exploiting synergies of protein biochemistry and bioinformatics. J Chromatogr B Analyt Technol Biomed Life Sci 2024; 1240:124128. [PMID: 38759531 DOI: 10.1016/j.jchromb.2024.124128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/29/2024] [Accepted: 04/14/2024] [Indexed: 05/19/2024]
Abstract
Depending on the respective research question, LC-MS/MS based bottom-up proteomics poses challenges from the initial biological sample all the way to data evaluation. The focus of this study was to investigate the influence of sample preparation techniques and data analysis parameters on protein identification in Tribolium castaneum by applying free software proteomics platform Max Quant. Multidimensional protein extraction strategies in combination with electrophoretic or chromatographic off-line protein pre-fractionation were applied to enhance the spectrum of isolated proteins from T. castaneum and reduce the effect of co-elution and ion suppression effects during nano-LC-MS/MS measurements of peptides. For comprehensive data analysis, MaxQuant was used for protein identification and R for data evaluation. A wide range of parameters were evaluated to gain reproducible, reliable, and significant protein identifications. A simple phosphate buffer, pH 8, containing protease and phosphatase inhibitor cocktail and application of gentle extraction conditions were used as a first extraction step for T.castaneum proteins. Furthermore, a two-dimensional extraction procedure in combination with electrophoretic pre-fractionation of extracted proteins and subsequent in-gel digest resulted in almost 100% increase of identified proteins when compared to chromatographic fractionation as well as one-pot-analysis. The additionally identified proteins could be assigned to new molecular functions or cell compartments, emphasizing the positive effect of extended sample preparation in bottom-up proteomics. Besides the number of peptides during post-processing, MaxQuant's Match between Runs exhibited a crucial effect on the number of identified proteins. A maximum relative standard deviation of 2% must be considered for the data analysis. Our work with Tribolium castaneum larvae demonstrates that sometimes - depending on matrix and research question - more complex and time-consuming sample preparation can be advantageous for isolation and identification of additional proteins in bottom-up proteomics.
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Affiliation(s)
- J Rudolf-Scholik
- University of Applied Sciences Wiener Neustadt, Biotech Campus Tulln, AUSTRIA.
| | - D Lilek
- University of Applied Sciences Wiener Neustadt, Biotech Campus Tulln, AUSTRIA
| | - M Maier
- University of Applied Sciences Wiener Neustadt, Biotech Campus Tulln, AUSTRIA
| | - T Reischenböck
- University of Applied Sciences Wiener Neustadt, Biotech Campus Tulln, AUSTRIA
| | - C Maisl
- University of Applied Sciences Wiener Neustadt, Biotech Campus Tulln, AUSTRIA
| | - J Allram
- University of Applied Sciences Wiener Neustadt, Biotech Campus Tulln, AUSTRIA
| | - B Herbinger
- University of Applied Sciences Wiener Neustadt, Biotech Campus Tulln, AUSTRIA
| | - J Rechthaler
- University of Applied Sciences Wiener Neustadt, Biotech Campus Tulln, AUSTRIA
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6
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Peters-Clarke TM, Coon JJ, Riley NM. Instrumentation at the Leading Edge of Proteomics. Anal Chem 2024; 96:7976-8010. [PMID: 38738990 DOI: 10.1021/acs.analchem.3c04497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Affiliation(s)
- Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
| | - Joshua J Coon
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Morgridge Institute for Research, Madison, Wisconsin 53715, United States
| | - Nicholas M Riley
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
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7
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Gent L, Chiappetta ME, Hesketh S, Palmowski P, Porter A, Bonicelli A, Schwalbe EC, Procopio N. Bone Proteomics Method Optimization for Forensic Investigations. J Proteome Res 2024; 23:1844-1858. [PMID: 38621258 PMCID: PMC11077585 DOI: 10.1021/acs.jproteome.4c00151] [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: 02/28/2024] [Revised: 03/30/2024] [Accepted: 04/03/2024] [Indexed: 04/17/2024]
Abstract
The application of proteomic analysis to forensic skeletal remains has gained significant interest in improving biological and chronological estimations in medico-legal investigations. To enhance the applicability of these analyses to forensic casework, it is crucial to maximize throughput and proteome recovery while minimizing interoperator variability and laboratory-induced post-translational protein modifications (PTMs). This work compared different workflows for extracting, purifying, and analyzing bone proteins using liquid chromatography with tandem mass spectrometry (LC-MS)/MS including an in-StageTip protocol previously optimized for forensic applications and two protocols using novel suspension-trap technology (S-Trap) and different lysis solutions. This study also compared data-dependent acquisition (DDA) with data-independent acquisition (DIA). By testing all of the workflows on 30 human cortical tibiae samples, S-Trap workflows resulted in increased proteome recovery with both lysis solutions tested and in decreased levels of induced deamidations, and the DIA mode resulted in greater sensitivity and window of identification for the identification of lower-abundance proteins, especially when open-source software was utilized for data processing in both modes. The newly developed S-Trap protocol is, therefore, suitable for forensic bone proteomic workflows and, particularly when paired with DIA mode, can offer improved proteomic outcomes and increased reproducibility, showcasing its potential in forensic proteomics and contributing to achieving standardization in bone proteomic analyses for forensic applications.
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Affiliation(s)
- Luke Gent
- School
of Law and Policing, Research Centre for Field Archaeology and Forensic
Taphonomy, University of Central Lancashire, Preston PR1 2HE, United Kingdom
| | - Maria Elena Chiappetta
- School
of Law and Policing, Research Centre for Field Archaeology and Forensic
Taphonomy, University of Central Lancashire, Preston PR1 2HE, United Kingdom
- Department
of Biology, Ecology and Earth Sciences (DiBEST), University of Calabria, Arcavacata
di Rende 87036, Italy
| | - Stuart Hesketh
- School
of Medicine, University of Central Lancashire, Preston PR1 2HE, United Kingdom
| | - Pawel Palmowski
- NUPPA
Facility, Medical School, Newcastle University, Newcastle Upon Tyne NE1
7RU, United Kingdom
| | - Andrew Porter
- NUPPA
Facility, Medical School, Newcastle University, Newcastle Upon Tyne NE1
7RU, United Kingdom
| | - Andrea Bonicelli
- School
of Law and Policing, Research Centre for Field Archaeology and Forensic
Taphonomy, University of Central Lancashire, Preston PR1 2HE, United Kingdom
| | - Edward C. Schwalbe
- Department
of Applied Sciences, Northumbria University, Newcastle Upon Tyne NE1
8ST, United Kingdom
| | - Noemi Procopio
- School
of Law and Policing, Research Centre for Field Archaeology and Forensic
Taphonomy, University of Central Lancashire, Preston PR1 2HE, United Kingdom
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8
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Ponzini E. Tear biomarkers. Adv Clin Chem 2024; 120:69-115. [PMID: 38762243 DOI: 10.1016/bs.acc.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2024]
Abstract
An extensive exploration of lacrimal fluid molecular biomarkers in understanding and diagnosing a spectrum of ocular and systemic diseases is presented. The chapter provides an overview of lacrimal fluid composition, elucidating the roles of proteins, lipids, metabolites, and nucleic acids within the tear film. Pooled versus single-tear analysis is discussed to underline the benefits and challenges associated with both approaches, offering insights into optimal strategies for tear sample analysis. Subsequently, an in-depth analysis of tear collection methods is presented, with a focus on Schirmer's test strips and microcapillary tubes methods. Alternative tear collection techniques are also explored, shedding light on their applicability and advantages. Variability factors, including age, sex, and diurnal fluctuations, are examined in the context of their impact on tear biomarker analysis. The main body of the chapter is dedicated to discussing specific biomarkers associated with ocular discomfort and a wide array of ocular diseases. From dry eye disease and thyroid-associated ophthalmopathy to keratoconus, age-related macular degeneration, diabetic retinopathy, and glaucoma, the intricate relationship between molecular biomarkers and these conditions is thoroughly dissected. Expanding beyond ocular pathologies, the chapter explores the applicability of tear biomarkers in diagnosing systemic diseases such as multiple sclerosis, amyotrophic lateral sclerosis, Alzheimer's disease, Parkinson's disease, and cancer. This broader perspective underscores the potential of lacrimal fluid analysis in offering non-invasive diagnostic tools for conditions with far-reaching implications.
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Affiliation(s)
- Erika Ponzini
- Department of Materials Science, University of Milano Bicocca, Milan, Italy; COMiB Research Center, University of Milano Bicocca, Milan, Italy.
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9
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Opetová M, Tomašovský R, Mikuš P, Maráková K. Transient isotachophoresis-Capillary zone electrophoresis-Mass spectrometry method with off-line microscale solid phase extraction pretreatment for quantitation of intact low molecular mass proteins in various biological fluids. J Chromatogr A 2024; 1718:464697. [PMID: 38341901 DOI: 10.1016/j.chroma.2024.464697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/27/2024] [Accepted: 01/29/2024] [Indexed: 02/13/2024]
Abstract
Quantification of proteins is still predominantly done by the traditional bottom-up approach. Targeting of intact proteins in complex biological matrices is connected with multiple challenges during the sample pretreatment, separation, and detection step of the analytical workflow. In this work, we focused on the development of an on-line hyphenated capillary zone electrophoresis-mass spectrometry method employing off-line microscale solid-phase extraction based on hydrophilic lipophilic balance (HLB) sorbent as a sample pretreatment step for the analysis of low molecular mass intact proteins (<20 kDa) spiked in various biological fluids (human serum, plasma, urine, and saliva). A detailed optimization process involved the selection of a suitable capillary surface, background electrolyte (BGE), and comparison of two in-capillary preconcentration methods, namely transient isotachophoresis (tITP) and dynamic pH junction (DPJ), to enhance the sensitivity of the method. Optimum separation of the analytes was achieved using uncoated bare fused silica capillary employing 500 mM formic acid (pH 1.96) + 5 % (v/v) acetonitrile as BGE. tITP was utilized as an optimum preconcentration technique, achieving a 19- to 127-fold increase in the signal intensity when using 200 mM ammonium formate (adjusted to pH 4.00) as the leading electrolyte and BGE as the terminating electrolyte. Off-line microscale solid-phase extraction with various eluate treatment procedures was evaluated to ensure the compatibility of the sample pretreatment method with the selected in-capillary preconcentration, separation, and detection process. Achieved extraction recoveries of spiked proteins were in the range of 76-100 % for urine, 12-54 % for serum, 21-106 % for plasma, and 25-98 % for saliva when the eluate was evaporated and reconstituted in the solution of the leading electrolyte to achieve the tITP process. The optimum method was validated across different biological matrices, offering good linearity, accuracy, and precision, and making it suitable for proteomic studies (e.g., therapeutic drug monitoring, biomarker research) in different biological samples.
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Affiliation(s)
- Martina Opetová
- Faculty of Pharmacy, Department of Pharmaceutical Analysis and Nuclear Pharmacy, Comenius University Bratislava, Odbojárov 10, SK-832 32, Bratislava, Slovakia; Faculty of Pharmacy, Toxicological and Antidoping Center, Department of Pharmaceutical Analysis and Nuclear Pharmacy, Comenius University Bratislava, Odbojárov 10, SK-832 32, Bratislava, Slovakia
| | - Radovan Tomašovský
- Faculty of Pharmacy, Department of Pharmaceutical Analysis and Nuclear Pharmacy, Comenius University Bratislava, Odbojárov 10, SK-832 32, Bratislava, Slovakia; Faculty of Pharmacy, Toxicological and Antidoping Center, Department of Pharmaceutical Analysis and Nuclear Pharmacy, Comenius University Bratislava, Odbojárov 10, SK-832 32, Bratislava, Slovakia
| | - Peter Mikuš
- Faculty of Pharmacy, Department of Pharmaceutical Analysis and Nuclear Pharmacy, Comenius University Bratislava, Odbojárov 10, SK-832 32, Bratislava, Slovakia; Faculty of Pharmacy, Toxicological and Antidoping Center, Department of Pharmaceutical Analysis and Nuclear Pharmacy, Comenius University Bratislava, Odbojárov 10, SK-832 32, Bratislava, Slovakia
| | - Katarína Maráková
- Faculty of Pharmacy, Department of Pharmaceutical Analysis and Nuclear Pharmacy, Comenius University Bratislava, Odbojárov 10, SK-832 32, Bratislava, Slovakia; Faculty of Pharmacy, Toxicological and Antidoping Center, Department of Pharmaceutical Analysis and Nuclear Pharmacy, Comenius University Bratislava, Odbojárov 10, SK-832 32, Bratislava, Slovakia.
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10
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Soto JS, Jami-Alahmadi Y, Wohlschlegel JA, Khakh BS. In vivo identification of astrocyte and neuron subproteomes by proximity-dependent biotinylation. Nat Protoc 2024; 19:896-927. [PMID: 38062165 DOI: 10.1038/s41596-023-00923-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/03/2023] [Indexed: 02/08/2024]
Abstract
The central nervous system (CNS) comprises diverse and morphologically complex cells. To understand the molecular basis of their physiology, it is crucial to assess proteins expressed within intact cells. Commonly used methods utilize cell dissociation and sorting to isolate specific cell types such as neurons and astrocytes, the major CNS cells. Proteins purified from isolated cells are identified by mass spectrometry-based proteomics. However, dissociation and cell-sorting methods lead to near total loss of cellular morphology, thereby losing proteins from key relevant subcompartments such as processes, end feet, dendrites and axons. Here we provide a systematic protocol for cell- and subcompartment-specific labeling and identification of proteins found within intact astrocytes and neurons in vivo. This protocol utilizes the proximity-dependent biotinylation system BioID2, selectively expressed in either astrocytes or neurons, to label proximal proteins in a cell-specific manner. BioID2 is targeted genetically to assess the subproteomes of subcellular compartments such as the plasma membrane and sites of cell-cell contacts. We describe in detail the expression methods (variable timing), stereotaxic surgeries for expression (1-2 d and then 3 weeks), in vivo protein labeling (7 d), protein isolation (2-3 d), protein identification methods (2-3 d) and data analysis (1 week). The protocol can be applied to any area of the CNS in mouse models of physiological processes and for disease-related research.
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Affiliation(s)
- Joselyn S Soto
- Department of Physiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
| | - Yasaman Jami-Alahmadi
- Department of Biological Chemistry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - James A Wohlschlegel
- Department of Biological Chemistry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Baljit S Khakh
- Department of Physiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
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11
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Taunk K, Paul D, Dabhi R, Venkatesh C, Jajula S, Naik V, Tamhankar A, Naiya T, Kumar Santra M, Rapole S. A single step and rapid protein extraction protocol developed for cell lines and tissues: Compatible for gel based and gel free proteomic approaches. Methods 2023; 220:29-37. [PMID: 37918646 DOI: 10.1016/j.ymeth.2023.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/18/2023] [Accepted: 10/30/2023] [Indexed: 11/04/2023] Open
Abstract
Proteins are crucial research molecules in modern biology. Almost every biological research area needs protein-based assays to answer the research questions. The study of the total protein content of a biological sample known as Proteomics, is one of the highly rated qualitative and quantitative approach to address numerous biological problems including clinical research. The key step to successfully generate high quality proteomics data is the efficient extraction of proteins from biological samples. Although different methods are in use for protein extraction from a wide variety of samples, however, because of their prolonged protocol and multiple steps involved, final protein yield is sacrificed. Here, we have shown the development of a simple single step method for extraction of proteins from mammalian cell lines as well as tissue samples in an effective and reproducible manner. This method is based on lysis of samples directly in a modified lysis buffer without CHAPS (7 M Urea, 2 M Thiourea, and 10 mM Tris-Cl; pH 8.5) that is compatible with gel based and gel free approaches. This developed protocol is reliable and should be useful for a wide range of proteomic studies involving various biological samples.
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Affiliation(s)
- Khushman Taunk
- National Centre for Cell Science, Ganeshkhind, Pune 411007, Maharashtra, India; Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata, West Bengal, India
| | - Debasish Paul
- National Centre for Cell Science, Ganeshkhind, Pune 411007, Maharashtra, India
| | - Raju Dabhi
- National Centre for Cell Science, Ganeshkhind, Pune 411007, Maharashtra, India
| | | | - Saikiran Jajula
- National Centre for Cell Science, Ganeshkhind, Pune 411007, Maharashtra, India
| | - Venkateshwarlu Naik
- National Centre for Cell Science, Ganeshkhind, Pune 411007, Maharashtra, India
| | - Anup Tamhankar
- Department of Surgical Oncology, Deenanath Mangeshkar Hospital and Research Centre, Erandawne, Pune 411004, Maharashtra, India
| | - Tufan Naiya
- Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata, West Bengal, India
| | - Manas Kumar Santra
- National Centre for Cell Science, Ganeshkhind, Pune 411007, Maharashtra, India.
| | - Srikanth Rapole
- National Centre for Cell Science, Ganeshkhind, Pune 411007, Maharashtra, India.
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12
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Chan C, Peng J, Rajesh V, Scott EY, Sklavounos AA, Faiz M, Wheeler AR. Digital Microfluidics for Microproteomic Analysis of Minute Mammalian Tissue Samples Enabled by a Photocleavable Surfactant. J Proteome Res 2023; 22:3242-3253. [PMID: 37651704 DOI: 10.1021/acs.jproteome.3c00281] [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: 09/02/2023]
Abstract
Proteome profiles of precious tissue samples have great clinical potential for accelerating disease biomarker discovery and promoting novel strategies for early diagnosis and treatment. However, tiny clinical tissue samples are often difficult to handle and analyze with conventional proteomic methods. Automated digital microfluidic (DMF) workflows facilitate the manipulation of size-limited tissue samples. Here, we report the assessment of a DMF microproteomics workflow enabled by a photocleavable surfactant for proteomic analysis of minute tissue samples. The surfactant 4-hexylphenylazosulfonate (Azo) was found to facilitate fast droplet movement on DMF and enhance the proteomics analysis. Comparisons of Azo and n-Dodecyl β-d-maltoside (DDM) using small samples of HeLa digest standards and MCF-7 cell digests revealed distinct differences at the peptide level despite similar results at the protein level. The DMF microproteomics workflow was applied for the sample preparation of ∼3 μg biopsies from murine brain tissue. A total of 1969 proteins were identified in three samples, including established neural biomarkers and proteins related to synaptic signaling. Going forward, we propose that the Azo-enabled DMF workflow has the potential to advance the practical clinical application of DMF for the analysis of size-limited tissue samples.
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Affiliation(s)
- Calvin Chan
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
| | - Jiaxi Peng
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto M5S 3G9, Ontario, Canada
| | - Vigneshwar Rajesh
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
| | - Erica Y Scott
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto M5S 3G9, Ontario, Canada
- Department of Surgery, University of Toronto, Toronto M5S 1A8, Ontario, Canada
| | - Alexandros A Sklavounos
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Ontario, Canada
| | - Maryam Faiz
- Department of Surgery, University of Toronto, Toronto M5S 1A8, Ontario, Canada
| | - Aaron R Wheeler
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto M5S 3G9, Ontario, Canada
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13
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Liu YK, Wu X, Hadisurya M, Li L, Kaimakliotis H, Iliuk A, Tao WA. One-Pot Analytical Pipeline for Efficient and Sensitive Proteomic Analysis of Extracellular Vesicles. J Proteome Res 2023; 22:3301-3310. [PMID: 37702715 PMCID: PMC10897859 DOI: 10.1021/acs.jproteome.3c00361] [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] [Indexed: 09/14/2023]
Abstract
Extracellular vesicle (EV) proteomics emerges as an effective tool for discovering potential biomarkers for disease diagnosis, monitoring, and therapeutics. However, the current workflow of mass spectrometry-based EV proteome analysis is not fully compatible in a clinical setting due to inefficient EV isolation methods and a tedious sample preparation process. To streamline and improve the efficiency of EV proteome analysis, here we introduce a one-pot analytical pipeline integrating a robust EV isolation approach, EV total recovery and purification (EVtrap), with in situ protein sample preparation, to detect urinary EV proteome. By incorporating solvent-driven protein capture and fast on-bead digestion, the one-pot pipeline enabled the whole EV proteome analysis to be completed within one day. In comparison with the existing workflow, the one-pot pipeline was able to obtain better peptide yield and identify the equivalent number of unique EV proteins from 1 mL of urine. Finally, we applied the one-pot pipeline to profile proteomes in urinary EVs of bladder cancer patients. A total of 2774 unique proteins were identified in 53 urine samples using a 15 min gradient library-free data-independent acquisition method. Taken altogether, our novel one-pot analytical pipeline demonstrated its potential for routine and robust EV proteomics in biomedical applications.
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Affiliation(s)
- Yi-Kai Liu
- Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Xiaofeng Wu
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Marco Hadisurya
- Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Li Li
- Tymora Analytical Operations, West Lafayette, Indiana 47906, United States
| | - Hristos Kaimakliotis
- Indiana University School of Medicine, Indianapolis, Indiana 46202, United States
| | - Anton Iliuk
- Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States
- Tymora Analytical Operations, West Lafayette, Indiana 47906, United States
| | - W Andy Tao
- Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
- Tymora Analytical Operations, West Lafayette, Indiana 47906, United States
- Purdue Institute for Cancer Research, Purdue University, West Lafayette, Indiana 47907, United States
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14
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Anastasi F, Botto A, Immordino B, Giovannetti E, McDonnell LA. Proteomics analysis of circulating small extracellular vesicles: Focus on the contribution of EVs to tumor metabolism. Cytokine Growth Factor Rev 2023; 73:3-19. [PMID: 37652834 DOI: 10.1016/j.cytogfr.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 08/16/2023] [Indexed: 09/02/2023]
Abstract
The term small extracellular vesicle (sEV) is a comprehensive term that includes any type of cell-derived, membrane-delimited particle that has a diameter < 200 nm, and which includes exosomes and smaller microvesicles. sEVs transfer bioactive molecules between cells and are crucial for cellular homeostasis and particularly during tumor development, where sEVs provide important contributions to the formation of the premetastic niche and to their altered metabolism. sEVs are thus legitimate targets for intervention and have also gained increasing interest as an easily accessible source of biomarkers because they can be rapidly isolated from serum/plasma and their molecular cargo provides information on their cell-of origin. To target sEVs that are specific for a given cell/disease it is essential to identify EV surface proteins that are characteristic of that cell/disease. Mass-spectrometry based proteomics is widely used for the identification and quantification of sEV proteins. The methods used for isolating the sEVs, preparing the sEV sample for proteomics analysis, and mass spectrometry analysis, can have a strong influence on the results and requires careful consideration. This review provides an overview of the approaches used for sEV proteomics and discusses the inherent compromises regarding EV purity versus depth of coverage. Additionally, it discusses the practical applications of the methods to unravel the involvement of sEVs in regulating the metabolism of pancreatic ductal adenocarcinoma (PDAC). The metabolic reprogramming in PDAC includes enhanced glycolysis, elevated glutamine metabolism, alterations in lipid metabolism, mitochondrial dysfunction and hypoxia, all of which are crucial in promoting tumor cell growth. A thorough understanding of these metabolic adaptations is imperative for the development of targeted therapies to exploit PDAC's vulnerabilities.
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Affiliation(s)
- Federica Anastasi
- Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme, PI, Italy; National Enterprise for NanoScience and NanoTechnology, Scuola Normale Superiore, Pisa, Italy; BarcelonaBeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Asia Botto
- Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme, PI, Italy; Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Italy
| | - Benoit Immordino
- Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme, PI, Italy; Scuola Superiore Sant'Anna, Pisa, Italy
| | - Elisa Giovannetti
- Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme, PI, Italy; Department of Medical Oncology, Amsterdam UMC, Cancer Center Amsterdam, Vrije Universiteit, Amsterdam, the Netherlands
| | - Liam A McDonnell
- Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme, PI, Italy.
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15
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Yu Y, Martin K, Le H, Yang C, Lu G, Zhang X, Grimes C, Zhuang Z, Asare-Okai PN. Development of an Efficient, Effective, and Economical Technology for Proteome Analysis. RESEARCH SQUARE 2023:rs.3.rs-3165690. [PMID: 37502920 PMCID: PMC10371162 DOI: 10.21203/rs.3.rs-3165690/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Proteomics experiments have typically high economic and technical barriers to broad biomedical scientists, which not only result in costly supplies and accessories for sample preparation but also the reluctance to adapt new techniques. In the present study, we present an effective and efficient, yet economical technology, which we call E3technology, for proteomics sample preparation. By immobilizing silica microparticles into a polytetrafluoroethylene (PTFE) matrix, we developed a novel medium, which could be used as a robust and reliable proteomics platform to generate LCMS-friendly samples in a rapid and low-cost fashion. Using different formats of E3technology, including E3tip, E3filter, E3cartridge, and E3plate, we explored a variety of sample types in varied complexity, quantity, volume, and size, including bacterial, fungi, mammalian cells, mouse tissue, and human body fluids. We benchmark their performance against several established approaches. Our data suggest that E3technology outperforms many of the currently available techniques in terms of proteome identification and quantitation. It is widely applicable, highly reproducible, readily scalable and automatable, and is user-friendly and stress-free to non-expert proteomics laboratories. It does not require specialized expertise and equipment, and significantly lowers the technical and economical barrier to proteomics experiments. An enhanced version, E4technology, also opens new avenues to sample preparation for low input and/or low-cell proteomics analysis. The presented technologies by our study represent a breakthrough innovation in biomedical science, and we anticipate widespread adoption by the proteomics community.
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16
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Wang F, Veth T, Kuipers M, Altelaar M, Stecker KE. Optimized Suspension Trapping Method for Phosphoproteomics Sample Preparation. Anal Chem 2023; 95:9471-9479. [PMID: 37319171 PMCID: PMC10308333 DOI: 10.1021/acs.analchem.3c00324] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 05/26/2023] [Indexed: 06/17/2023]
Abstract
A successful mass spectrometry-based phosphoproteomics analysis relies on effective sample preparation strategies. Suspension trapping (S-Trap) is a novel, rapid, and universal method of sample preparation that is increasingly applied in bottom-up proteomics studies. However, the performance of the S-Trap protocol for phosphoproteomics studies is unclear. In the existing S-Trap protocol, the addition of phosphoric acid (PA) and methanol buffer creates a fine protein suspension to capture proteins on a filter and is a critical step for subsequent protein digestion. Herein, we demonstrate that this addition of PA is detrimental to downstream phosphopeptide enrichment, rendering the standard S-Trap protocol suboptimal for phosphoproteomics. In this study, the performance of the S-Trap digestion for proteomics and phosphoproteomics is systematically evaluated in large-scale and small-scale samples. The results of this comparative analysis show that an optimized S-Trap approach, where trifluoroacetic acid is substituted for PA, is a simple and effective method to prepare samples for phosphoproteomics. Our optimized S-Trap protocol is applied to extracellular vesicles to demonstrate superior sample preparation workflow for low-abundance, membrane-rich samples.
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Affiliation(s)
- Fujia Wang
- Biomolecular
Mass Spectrometry and Proteomics, Center for Biomolecular Research
and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands
| | - Tim Veth
- Biomolecular
Mass Spectrometry and Proteomics, Center for Biomolecular Research
and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands
| | - Marije Kuipers
- Department
of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, 3584
CM Utrecht, the Netherlands
| | - Maarten Altelaar
- Biomolecular
Mass Spectrometry and Proteomics, Center for Biomolecular Research
and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands
| | - Kelly E. Stecker
- Biomolecular
Mass Spectrometry and Proteomics, Center for Biomolecular Research
and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands
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17
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Margenat M, Betancour G, Irving V, Costábile A, García-Cedrés T, Portela MM, Carrión F, Herrera FE, Villarino A. Characteristics of Mycobacterium tuberculosis PtpA interaction and activity on the alpha subunit of human mitochondrial trifunctional protein, a key enzyme of lipid metabolism. Front Cell Infect Microbiol 2023; 13:1095060. [PMID: 37424790 PMCID: PMC10325834 DOI: 10.3389/fcimb.2023.1095060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 05/29/2023] [Indexed: 07/11/2023] Open
Abstract
During Mycobacterium tuberculosis (Mtb) infection, the virulence factor PtpA belonging to the protein tyrosine phosphatase family is delivered into the cytosol of the macrophage. PtpA interacts with numerous eukaryotic proteins modulating phagosome maturation, innate immune response, apoptosis, and potentially host-lipid metabolism, as previously reported by our group. In vitro, the human trifunctional protein enzyme (hTFP) is a bona fide PtpA substrate, a key enzyme of mitochondrial β-oxidation of long-chain fatty acids, containing two alpha and two beta subunits arranged in a tetramer structure. Interestingly, it has been described that the alpha subunit of hTFP (ECHA, hTFPα) is no longer detected in mitochondria during macrophage infection with the virulent Mtb H37Rv. To better understand if PtpA could be the bacterial factor responsible for this effect, in the present work, we studied in-depth the PtpA activity and interaction with hTFPα. With this aim, we performed docking and in vitro dephosphorylation assays defining the P-Tyr-271 as the potential target of mycobacterial PtpA, a residue located in the helix-10 of hTFPα, previously described as relevant for its mitochondrial membrane localization and activity. Phylogenetic analysis showed that Tyr-271 is absent in TFPα of bacteria and is present in more complex eukaryotic organisms. These results suggest that this residue is a specific PtpA target, and its phosphorylation state is a way of regulating its subcellular localization. We also showed that phosphorylation of Tyr-271 can be catalyzed by Jak kinase. In addition, we found by molecular dynamics that PtpA and hTFPα form a stable protein complex through the PtpA active site, and we determined the dissociation equilibrium constant. Finally, a detailed study of PtpA interaction with ubiquitin, a reported PtpA activator, showed that additional factors are required to explain a ubiquitin-mediated activation of PtpA. Altogether, our results provide further evidence supporting that PtpA could be the bacterial factor that dephosphorylates hTFPα during infection, potentially affecting its mitochondrial localization or β-oxidation activity.
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Affiliation(s)
- Mariana Margenat
- Instituto de Biología, Sección Bioquímica, Facultad de Ciencias-Universidad de la República, Montevideo, Uruguay
| | - Gabriela Betancour
- Instituto de Biología, Sección Bioquímica, Facultad de Ciencias-Universidad de la República, Montevideo, Uruguay
| | - Vivian Irving
- Instituto de Biología, Sección Bioquímica, Facultad de Ciencias-Universidad de la República, Montevideo, Uruguay
| | - Alicia Costábile
- Instituto de Biología, Sección Bioquímica, Facultad de Ciencias-Universidad de la República, Montevideo, Uruguay
| | - Tania García-Cedrés
- Instituto de Biología, Sección Bioquímica, Facultad de Ciencias-Universidad de la República, Montevideo, Uruguay
| | - María Magdalena Portela
- Instituto de Biología, Facultad de Ciencias-Universidad de la República, Montevideo, Uruguay
- Unidad de Bioquímica y Proteómica Analíticas, Institut Pasteur de Montevideo and Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay
| | - Federico Carrión
- Laboratorio de Inmunovirología, Institut Pasteur de Montevideo, Montevideo, Uruguay
| | - Fernando E. Herrera
- Departamento de Física, Facultad de Bioquímica y Ciencias Biológicas-Universidad Nacional del Litoral – CONICET, Santa Fe, Argentina
| | - Andrea Villarino
- Instituto de Biología, Sección Bioquímica, Facultad de Ciencias-Universidad de la República, Montevideo, Uruguay
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18
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Sedláčková S, Hubálek M, Vrkoslav V, Blechová M, Kozlík P, Cvačka J. Positive Effect of Acetylation on Proteomic Analysis Based on Liquid Chromatography with Atmospheric Pressure Chemical Ionization and Photoionization Mass Spectrometry. Molecules 2023; 28:molecules28093711. [PMID: 37175121 PMCID: PMC10180487 DOI: 10.3390/molecules28093711] [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: 03/27/2023] [Revised: 04/14/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
A typical bottom-up proteomic workflow comprises sample digestion with trypsin, separation of the hydrolysate using reversed-phase HPLC, and detection of peptides via electrospray ionization (ESI) tandem mass spectrometry. Despite the advantages and wide usage of protein identification and quantification, the procedure has limitations. Some domains or parts of the proteins may remain inadequately described due to inefficient detection of certain peptides. This study presents an alternative approach based on sample acetylation and mass spectrometry with atmospheric pressure chemical ionization (APCI) and atmospheric pressure photoionization (APPI). These ionizations allowed for improved detection of acetylated peptides obtained via chymotrypsin or glutamyl peptidase I (Glu-C) digestion. APCI and APPI spectra of acetylated peptides often provided sequence information already at the full scan level, while fragmentation spectra of protonated molecules and sodium adducts were easy to interpret. As demonstrated for bovine serum albumin, acetylation improved proteomic analysis. Compared to ESI, gas-phase ionizations APCI and APPI made it possible to detect more peptides and provide better sequence coverages in most cases. Importantly, APCI and APPI detected many peptides which passed unnoticed in the ESI source. Therefore, analytical methods based on chymotrypsin or Glu-C digestion, acetylation, and APPI or APCI provide data complementary to classical bottom-up proteomics.
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Affiliation(s)
- Simona Sedláčková
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo Náměstí 542/2, 16000 Prague, Czech Republic
- Department of Analytical Chemistry, Faculty of Science, Charles University, Hlavova 2030/8, 12800 Prague, Czech Republic
| | - Martin Hubálek
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo Náměstí 542/2, 16000 Prague, Czech Republic
| | - Vladimír Vrkoslav
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo Náměstí 542/2, 16000 Prague, Czech Republic
| | - Miroslava Blechová
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo Náměstí 542/2, 16000 Prague, Czech Republic
| | - Petr Kozlík
- Department of Analytical Chemistry, Faculty of Science, Charles University, Hlavova 2030/8, 12800 Prague, Czech Republic
| | - Josef Cvačka
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo Náměstí 542/2, 16000 Prague, Czech Republic
- Department of Analytical Chemistry, Faculty of Science, Charles University, Hlavova 2030/8, 12800 Prague, Czech Republic
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19
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Hellinger R, Sigurdsson A, Wu W, Romanova EV, Li L, Sweedler JV, Süssmuth RD, Gruber CW. Peptidomics. NATURE REVIEWS. METHODS PRIMERS 2023; 3:25. [PMID: 37250919 PMCID: PMC7614574 DOI: 10.1038/s43586-023-00205-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/09/2023] [Indexed: 05/31/2023]
Abstract
Peptides are biopolymers, typically consisting of 2-50 amino acids. They are biologically produced by the cellular ribosomal machinery or by non-ribosomal enzymes and, sometimes, other dedicated ligases. Peptides are arranged as linear chains or cycles, and include post-translational modifications, unusual amino acids and stabilizing motifs. Their structure and molecular size render them a unique chemical space, between small molecules and larger proteins. Peptides have important physiological functions as intrinsic signalling molecules, such as neuropeptides and peptide hormones, for cellular or interspecies communication, as toxins to catch prey or as defence molecules to fend off enemies and microorganisms. Clinically, they are gaining popularity as biomarkers or innovative therapeutics; to date there are more than 60 peptide drugs approved and more than 150 in clinical development. The emerging field of peptidomics comprises the comprehensive qualitative and quantitative analysis of the suite of peptides in a biological sample (endogenously produced, or exogenously administered as drugs). Peptidomics employs techniques of genomics, modern proteomics, state-of-the-art analytical chemistry and innovative computational biology, with a specialized set of tools. The complex biological matrices and often low abundance of analytes typically examined in peptidomics experiments require optimized sample preparation and isolation, including in silico analysis. This Primer covers the combination of techniques and workflows needed for peptide discovery and characterization and provides an overview of various biological and clinical applications of peptidomics.
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Affiliation(s)
- Roland Hellinger
- Center for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Arnar Sigurdsson
- Institut für Chemie, Technische Universität Berlin, Berlin, Germany
| | - Wenxin Wu
- School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Elena V Romanova
- Department of Chemistry, University of Illinois, Urbana, IL, USA
| | - Lingjun Li
- School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | - Christian W Gruber
- Center for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria
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20
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Gebreyesus ST, Muneer G, Huang CC, Siyal AA, Anand M, Chen YJ, Tu HL. Recent advances in microfluidics for single-cell functional proteomics. LAB ON A CHIP 2023; 23:1726-1751. [PMID: 36811978 DOI: 10.1039/d2lc01096h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Single-cell proteomics (SCP) reveals phenotypic heterogeneity by profiling individual cells, their biological states and functional outcomes upon signaling activation that can hardly be probed via other omics characterizations. This has become appealing to researchers as it enables an overall more holistic view of biological details underlying cellular processes, disease onset and progression, as well as facilitates unique biomarker identification from individual cells. Microfluidic-based strategies have become methods of choice for single-cell analysis because they allow facile assay integrations, such as cell sorting, manipulation, and content analysis. Notably, they have been serving as an enabling technology to improve the sensitivity, robustness, and reproducibility of recently developed SCP methods. Critical roles of microfluidics technologies are expected to further expand rapidly in advancing the next phase of SCP analysis to reveal more biological and clinical insights. In this review, we will capture the excitement of the recent achievements of microfluidics methods for both targeted and global SCP, including efforts to enhance the proteomic coverage, minimize sample loss, and increase multiplexity and throughput. Furthermore, we will discuss the advantages, challenges, applications, and future prospects of SCP.
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Affiliation(s)
- Sofani Tafesse Gebreyesus
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Nano Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
| | - Gul Muneer
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei 10617, Taiwan
| | | | - Asad Ali Siyal
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
| | - Mihir Anand
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei 10617, Taiwan
| | - Yu-Ju Chen
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei 10617, Taiwan
| | - Hsiung-Lin Tu
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Nano Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei 10617, Taiwan
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21
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Lee CH, Tang JC, Hendricks NG, Anvari B. Proteomes of Micro- and Nanosized Carriers Engineered from Red Blood Cells. J Proteome Res 2023; 22:896-907. [PMID: 36792548 PMCID: PMC10756254 DOI: 10.1021/acs.jproteome.2c00695] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Red blood cell (RBC)-derived systems offer a potential platform for delivery of biomedical cargos. Although the importance of specific proteins associated with the biodistribution and pharmacokinetics of these particles has been recognized, it remains to be explored whether some of the key transmembrane and cytoskeletal proteins responsible for immune-modulatory effects and mechanical integrity of the particles are retained. Herein, using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and quantitative tandem mass tag mass spectrometry in conjunction with bioinformatics analysis, we have examined the proteomes of micro- and nanosized erythrocyte ghosts doped with indocyanine green and compared them with those of RBCs. We identified a total of 884 proteins in each set of RBCs, micro-, and nanosized particles, of which 8 and 45 proteins were expressed at significantly different relative abundances when comparing micro-sized particles vs RBCs and nanosized particles vs RBCs, respectively. We found greater differences in relative abundances of some mechano-modulatory proteins, such as band 3 and protein 4.2, and immunomodulatory proteins like CD44, CD47, and CD55 in nanosized particles as compared to RBCs. Our findings highlight that the methods utilized in fabricating RBC-based systems can induce substantial effects on their proteomes. Mass spectrometry data are available at ProteomeXchange with the identifier PXD038780.
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Affiliation(s)
- Chi-Hua Lee
- Department of Biochemistry, University of California, Riverside, Riverside, California 92521, United States
| | - Jack C Tang
- Department of Bioengineering, University of California, Riverside, Riverside, California 92521, United States
| | - Nathan G Hendricks
- Institute for Integrative Genome Biology, Proteomics Core, University of California, Riverside, Riverside, California 92521, United States
| | - Bahman Anvari
- Department of Biochemistry, University of California, Riverside, Riverside, California 92521, United States
- Department of Bioengineering, University of California, Riverside, Riverside, California 92521, United States
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22
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Maráková K, Renner BJ, Thomas SL, Opetová M, Tomašovský R, Rai AJ, Schug KA. Solid phase extraction as sample pretreatment method for top-down quantitative analysis of low molecular weight proteins from biological samples using liquid chromatography - triple quadrupole mass spectrometry. Anal Chim Acta 2023; 1243:340801. [PMID: 36697174 DOI: 10.1016/j.aca.2023.340801] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 01/02/2023] [Accepted: 01/03/2023] [Indexed: 01/05/2023]
Abstract
Targeting and quantifying intact proteins from biological samples is still a very challenging research area. Several crucial steps exist in the analytical workflow, including development of a reliable sample preparation method. Here, we developed and applied for the first time a non-immunoaffinity sample preparation method based on a generally widely available micro-elution solid phase extraction (μSPE) strategy for the extraction of multiple lower molecular weight intact proteins (<30 kDa) from various biological matrices. Omission of a time-consuming drying and reconstitution step after extraction resulted in a more simple and rapid sample preparation procedure. A model set of eleven intact proteins (molecular weights: 5.5-29 kDa; isoelectric points: 4.5-11.3) were analyzed in multiple biological fluids using reversed-phase liquid chromatography with a triple quadrupole mass spectrometer operated in multiple reaction monitoring mode. Various sample pre-treatment reagents, sorbent types, and washing and elution solvents were experimentally tested and optimized to obtain the μSPE clean-up condition for a broad mixture of intact proteins having variable physicochemical properties. 1% trifluoroacetic acid and 0.2% Triton 100-X were selected as suitable sample pre-treatment reagents for releasing protein-protein interactions in human serum/plasma and human urine, respectively. Hydrophilic lipophilic balanced μSPE sorbent was selected as a high performing stationary phase. Addition of 1% trifluoroacetic acid to all washing and elution solutions showed the most beneficial effect for the extraction recovery of the proteins. Under the optimized conditions, reproducible extraction recoveries >65% for all targeted proteins (up to 30 kDa) in human urine and >50% for most of the proteins in serum/plasma were achieved. The selected conditions were applied also for the analysis of clinical serum and urine samples to demonstrate the feasibility of the developed method to target intact proteins directly by more affordable μSPE sample preparation and triple quadrupole mass spectrometry, which could be beneficial in many application fields.
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Affiliation(s)
- Katarína Maráková
- Department of Pharmaceutical Analysis and Nuclear Pharmacy, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovakia; Toxicological and Antidoping Center, Comenius University in Bratislava, Bratislava, Slovakia.
| | - Beatriz J Renner
- Department of Chemistry & Biochemistry, The University of Texas at Arlington, Arlington, TX, USA
| | - Shannon L Thomas
- Department of Chemistry & Biochemistry, The University of Texas at Arlington, Arlington, TX, USA
| | - Martina Opetová
- Department of Pharmaceutical Analysis and Nuclear Pharmacy, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovakia; Toxicological and Antidoping Center, Comenius University in Bratislava, Bratislava, Slovakia
| | - Radovan Tomašovský
- Department of Pharmaceutical Analysis and Nuclear Pharmacy, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovakia; Toxicological and Antidoping Center, Comenius University in Bratislava, Bratislava, Slovakia
| | - Alex J Rai
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, USA
| | - Kevin A Schug
- Department of Chemistry & Biochemistry, The University of Texas at Arlington, Arlington, TX, USA.
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23
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Mousseau CB, Pierre CA, Hu DD, Champion MM. Miniprep assisted proteomics (MAP) for rapid proteomics sample preparation. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:916-924. [PMID: 36373982 PMCID: PMC9933840 DOI: 10.1039/d2ay01549h] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 10/28/2022] [Indexed: 06/14/2023]
Abstract
Complete enzymatic digestion of proteins for bottom-up proteomics is substantially improved by use of detergents for denaturation and solubilization. Detergents however, are incompatible with many proteases and highly detrimental to LC-MS/MS. Recently; filter-based methods have seen wide use due to their capacity to remove detergents and harmful reagents prior to digestion and mass spectrometric analysis. We hypothesized that non-specific protein binding to negatively charged silica-based filters would be enhanced by addition of lyotropic salts, similar to DNA purification. We sought to exploit these interactions and investigate if low-cost DNA purification spin-filters, 'Minipreps,' efficiently and reproducibly bind proteins for digestion and LC-MS/MS analysis. We propose a new method, Miniprep Assisted Proteomics (MAP), for sample preparation. We demonstrate binding capacity, performance, recovery and identification rates for proteins and whole-cell lysates using MAP. MAP recovered equivalent or greater protein yields from 0.5-50 μg analyses benchmarked against commercial trapping preparations. Nano UHPLC-MS/MS proteome profiling of lysates of Escherichia coli had 99.3% overlap vs. existing approaches and reproducibility of replicate minipreps was 98.8% at the 1% FDR protein level. Label Free Quantitative proteomics was performed and 91.2% of quantified proteins had a %CV <20% (2044/2241). Miniprep Assisted Proteomics can be performed in minutes, shows low variability, high recovery and proteome depth. This suggests a significant role for adventitious binding in developing new proteomics sample preparation techniques. MAP represents an efficient, ultra-low-cost alternative for sample preparation in a commercially obtainable device that costs ∼$0.50 (USD) per miniprep.
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Affiliation(s)
- C Bruce Mousseau
- Department of Chemistry and Biochemistry, University of Notre Dame, IN 46556, USA.
| | - Camille A Pierre
- Department of Chemistry and Biochemistry, University of Notre Dame, IN 46556, USA.
| | - Daniel D Hu
- Department of Chemistry and Biochemistry, University of Notre Dame, IN 46556, USA.
| | - Matthew M Champion
- Department of Chemistry and Biochemistry, University of Notre Dame, IN 46556, USA.
- Berthiaume Institute for Precision Health, University of Notre Dame, Notre Dame, IN 46556, USA
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24
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Müller T, Cremonini MA, Kliewer G, Krijgsveld J. Automated Sample Preparation for Mass Spectrometry-Based Clinical Proteomics. Methods Mol Biol 2023; 2718:181-211. [PMID: 37665461 DOI: 10.1007/978-1-0716-3457-8_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Mass spectrometry (MS)-based proteomics is a rapidly maturing discipline, thus gaining momentum for routine molecular profiling of clinical specimens to improve disease classification, diagnostics, and therapy development. Yet, hurdles need to be overcome to enhance reproducibility in preanalytical sample processing, especially in large, quantity-limited sample cohorts. Therefore, automated sonication and single-pot solid-phase-enhanced sample preparation (autoSP3) was developed as a streamlined workflow that integrates all tasks from tissue lysis and protein extraction, protein cleanup, and proteolysis. It enables the concurrent processing of 96 clinical samples of any type (fresh-frozen or FFPE tissue, liquid biopsies, or cells) on an automated liquid handling platform, which can be directly interfaced to LC-MS for proteome analysis of clinical specimens with high sensitivity, high reproducibility, and short turn-around times.
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Affiliation(s)
- Torsten Müller
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg University, Medical Faculty, Heidelberg, Germany
| | | | - Georg Kliewer
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg University, Medical Faculty, Heidelberg, Germany
| | - Jeroen Krijgsveld
- German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Heidelberg University, Medical Faculty, Heidelberg, Germany.
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25
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Danko K, Lukasheva E, Zhukov VA, Zgoda V, Frolov A. Detergent-Assisted Protein Digestion-On the Way to Avoid the Key Bottleneck of Shotgun Bottom-Up Proteomics. Int J Mol Sci 2022; 23:13903. [PMID: 36430380 PMCID: PMC9695859 DOI: 10.3390/ijms232213903] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/02/2022] [Accepted: 11/05/2022] [Indexed: 11/16/2022] Open
Abstract
Gel-free bottom-up shotgun proteomics is the principal methodological platform for the state-of-the-art proteome research. This methodology assumes quantitative isolation of the total protein fraction from a complex biological sample, its limited proteolysis with site-specific proteases, analysis of the resulted peptides with nanoscaled reversed-phase high-performance liquid chromatography-(tandem) mass spectrometry (nanoRP-HPLC-MS and MS/MS), protein identification by sequence database search and peptide-based quantitative analysis. The most critical steps of this workflow are protein reconstitution and digestion; therefore, detergents and chaotropic agents are strongly mandatory to ensure complete solubilization of complex protein isolates and to achieve accessibility of all protease cleavage sites. However, detergents are incompatible with both RP separation and electrospray ionization (ESI). Therefore, to make LC-MS analysis possible, several strategies were implemented in the shotgun proteomics workflow. These techniques rely either on enzymatic digestion in centrifugal filters with subsequent evacuation of the detergent, or employment of MS-compatible surfactants, which can be degraded upon the digestion. In this review we comprehensively address all currently available strategies for the detergent-assisted proteolysis in respect of their relative efficiency when applied to different biological matrices. We critically discuss the current progress and the further perspectives of these technologies in the context of its advances and gaps.
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Affiliation(s)
- Katerina Danko
- Department of Biochemistry, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Elena Lukasheva
- Department of Biochemistry, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Vladimir A. Zhukov
- All-Russia Research Institute for Agricultural Microbiology, Podbelsky Chaussee 3, Pushkin, 196608 St. Petersburg, Russia
| | - Viktor Zgoda
- Institute of Biomedical Chemistry, 119121 Moscow, Russia
| | - Andrej Frolov
- K.A. Timiryazev Institute of Plant Physiology RAS, 127276 Moscow, Russia
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26
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Blay V, Li X, Gerlach J, Urbina F, Ekins S. Combining DELs and machine learning for toxicology prediction. Drug Discov Today 2022; 27:103351. [PMID: 36096360 PMCID: PMC9995617 DOI: 10.1016/j.drudis.2022.103351] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/31/2022] [Accepted: 09/06/2022] [Indexed: 01/12/2023]
Abstract
DNA-encoded libraries (DELs) allow starting chemical matter to be identified in drug discovery. The volume of experimental data generated also makes DELs an attractive resource for machine learning (ML). ML allows modeling complex relationships between compounds and numerical endpoints, such as the binding to a target measured by DELs. DELs could also empower other areas of drug discovery. Here, we propose that DELs and ML could be combined to model binding to off-targets, enabling better predictive toxicology. With enough data, ML models can make accurate predictions across a vast chemical space, and they can be reused and expanded across projects. Although there are limitations, more general toxicology models could be applied earlier during drug discovery, illuminating safety liabilities at a lower cost.
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Affiliation(s)
- Vincent Blay
- Department of Microbiology and Environmental Toxicology, University of California at Santa Cruz, Santa Cruz, CA 95064, USA.
| | - Xiaoyu Li
- Department of Chemistry and State Key Laboratory of Synthetic Chemistry, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Jacob Gerlach
- Collaborations Pharmaceuticals, Inc, 840 Main Campus Drive, Lab 3510, Raleigh, NC 27606, USA
| | - Fabio Urbina
- Collaborations Pharmaceuticals, Inc, 840 Main Campus Drive, Lab 3510, Raleigh, NC 27606, USA
| | - Sean Ekins
- Collaborations Pharmaceuticals, Inc, 840 Main Campus Drive, Lab 3510, Raleigh, NC 27606, USA.
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27
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Potential Urine Proteomic Biomarkers for Focal Segmental Glomerulosclerosis and Minimal Change Disease. Int J Mol Sci 2022; 23:ijms232012607. [PMID: 36293475 PMCID: PMC9604469 DOI: 10.3390/ijms232012607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/25/2022] [Accepted: 10/06/2022] [Indexed: 11/23/2022] Open
Abstract
Primary focal segmental glomerulosclerosis (FSGS), along with minimal change disease (MCD), are diseases with primary podocyte damage that are clinically manifested by the nephrotic syndrome. The pathogenesis of these podocytopathies is still unknown, and therefore, the search for biomarkers of these diseases is ongoing. Our aim was to determine of the proteomic profile of urine from patients with FSGS and MCD. Patients with a confirmed diagnosis of FSGS (n = 30) and MCD (n = 9) were recruited for the study. For a comprehensive assessment of the severity of FSGS a special index was introduced, which was calculated as follows: the first score was assigned depending on the level of eGFR, the second score—depending on the proteinuria level, the third score—resistance to steroid therapy. Patients with the sum of these scores of less than 3 were included in group 1, with 3 or more—in group 2. The urinary proteome was analyzed using liquid chromatography/mass spectrometry. The proteome profiles of patients with severe progressive FSGS from group 2, mild FSGS from group 1 and MCD were compared. Results of the label free analysis were validated using targeted LC-MS based on multiple reaction monitoring (MRM) with stable isotope labelled peptide standards (SIS) available for 47 of the 76 proteins identified as differentiating between at least one pair of groups. Quantitative MRM SIS validation measurements for these 47 proteins revealed 22 proteins with significant differences between at least one of the two group pairs and 14 proteins were validated for both comparisons. In addition, all of the 22 proteins validated by MRM SIS analysis showed the same direction of change as at the discovery stage with label-free LC-MS analysis, i.e., up or down regulation in MCD and FSGS1 against FSGS2. Patients from the FSGS group 2 showed a significantly different profile from both FSGS group 1 and MCD. Among the 47 significantly differentiating proteins, the most significant were apolipoprotein A-IV, hemopexin, vitronectin, gelsolin, components of the complement system (C4b, factors B and I), retinol- and vitamin D-binding proteins. Patients with mild form of FSGS and MCD showed lower levels of Cystatin C, gelsolin and complement factor I.
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28
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Simultaneous Quantification of Opioids in Blood and Urine by Gas Chromatography-Mass Spectrometer with Modified Dispersive Solid-Phase Extraction Technique. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27196761. [PMID: 36235294 PMCID: PMC9570840 DOI: 10.3390/molecules27196761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/02/2022] [Accepted: 10/04/2022] [Indexed: 12/02/2022]
Abstract
Common methodologies such as liquid-liquid extraction and solid-phase extraction are applied for the extraction of opioids from biological specimens i.e., blood and urine. Techniques including LC-MS/LC-MSMS, GC-MS, etc. are used for qualitative or quantitative determination of opioids. The goal of the present work is to design a green, economic, rugged, and simple extraction technique for famous opioids in human blood and urine and their simultaneous quantification by GC-MS equipped with an inert plus electron impact (EI) ionization source at SIM mode to produce reproducible and efficient results. Morphine, codeine, 6-acetylmorphine, nalbuphine, tramadol and dextromethorphan were selected as target opioids. Anhydrous Epsom salt was applied for dSPE of opioids from blood and urine into acetonitrile extraction solvent with the addition of sodium phosphate buffer (pH 6) and n-hexane was added to remove non-polar interfering species from samples. BSTFA was used as a derivatizing agent for GC-MS. Following method validation, the LOD/LLOQ and ULOQ were determined for morphine, codeine, nal-buphine, tramadol, and dextromethorphan at 10 ng/mL and 1500 ng/mL, respectively, while the LOD/LLOQ and ULOQ were determined for 6-acetylmorphine at 5 ng/mL and 150 ng/mL, respectively. This method was applied to real blood and urine samples of opioid abusers and the results were found to be reproducible with true quantification.
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29
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Ponzini E, Santambrogio C, De Palma A, Mauri P, Tavazzi S, Grandori R. Mass spectrometry-based tear proteomics for noninvasive biomarker discovery. MASS SPECTROMETRY REVIEWS 2022; 41:842-860. [PMID: 33759206 PMCID: PMC9543345 DOI: 10.1002/mas.21691] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 02/16/2021] [Accepted: 03/03/2021] [Indexed: 05/05/2023]
Abstract
The lacrimal film has attracted increasing interest in the last decades as a potential source of biomarkers of physiopathological states, due to its accessibility, moderate complexity, and responsiveness to ocular and systemic diseases. High-performance liquid chromatography-mass spectrometry (LC-MS) has led to effective approaches to tear proteomics, despite the intrinsic limitations in sample amounts. This review focuses on the recent progress in strategy and technology, with an emphasis on the potential for personalized medicine. After an introduction on lacrimal-film composition, examples of applications to biomarker discovery are discussed, comparing approaches based on pooled-sample and single-tear analysis. Then, the most critical steps of the experimental pipeline, that is, tear collection, sample fractionation, and LC-MS implementation, are discussed with reference to proteome-coverage optimization. Advantages and challenges of the alternative procedures are highlighted. Despite the still limited number of studies, tear quantitative proteomics, including single-tear investigation, could offer unique contributions to the identification of low-invasiveness, sustained-accessibility biomarkers, and to the development of personalized approaches to therapy and diagnosis.
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Affiliation(s)
- Erika Ponzini
- Materials Science DepartmentUniversity of Milano‐BicoccaMilanItaly
| | - Carlo Santambrogio
- Department of Biotechnology and BiosciencesUniversity of Milano‐BicoccaMilanItaly
| | - Antonella De Palma
- Institute for Biomedical TechnologiesNational Research Council (ITB‐CNR)Segrate (MI)Italy
| | - Pierluigi Mauri
- Institute for Biomedical TechnologiesNational Research Council (ITB‐CNR)Segrate (MI)Italy
| | - Silvia Tavazzi
- Materials Science DepartmentUniversity of Milano‐BicoccaMilanItaly
- COMiBUniversity of Milano‐BicoccaMilanItaly
| | - Rita Grandori
- Department of Biotechnology and BiosciencesUniversity of Milano‐BicoccaMilanItaly
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30
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Rao Y, Zhu C, Suen HC, Huang S, Liao J, Ker DFE, Tuan RS, Wang D. Tenogenic induction of human adipose-derived stem cells by soluble tendon extracellular matrix: composition and transcriptomic analyses. Stem Cell Res Ther 2022; 13:380. [PMID: 35906661 PMCID: PMC9338462 DOI: 10.1186/s13287-022-03038-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 07/06/2022] [Indexed: 11/27/2022] Open
Abstract
Background Tendon healing is clinically challenging largely due to its inferior regenerative capacity. We have previously prepared a soluble, DNA-free, urea-extracted bovine tendon-derived extracellular matrix (tECM) that exhibits strong pro-tenogenic bioactivity on human adipose-derived stem cells (hASCs). In this study, we aimed to elucidate the mechanism of tECM bioactivity via characterization of tECM protein composition and comparison of transcriptomic profiles of hASC cultures treated with tECM versus collagen type I (Col1) as a control ECM component.
Methods The protein composition of tECM was characterized by SDS-PAGE, hydroxyproline assay, and proteomics analysis. To investigate tECM pro-tenogenic bioactivity and mechanism of action, differentiation of tECM-treated hASC cultures was compared to serum control medium or Col1-treated groups, as assessed via immunofluorescence for tenogenic markers and RNA Sequencing (RNA-Seq).
Results Urea-extracted tECM yielded consistent protein composition, including collagens (20% w/w) and at least 17 non-collagenous proteins (< 100 kDa) based on MS analysis. Compared to current literature, tECM included key tendon ECM components that are functionally involved in tendon regeneration, as well as those that are involved in similar principal Gene Ontology (GO) functions (ECM-receptor interaction and collagen formation) and signaling pathways (ECM-receptor interaction and focal adhesion). When used as a cell culture supplement, tECM enhanced hASC proliferation and tenogenic differentiation compared to the Col1 and FBS treatment groups based on immunostaining of tenogenesis-associated markers. Furthermore, RNA-Seq analysis revealed a total of 584 genes differentially expressed among the three culture groups. Specifically, Col1-treated hASCs predominantly exhibited expression of genes and pathways related to ECM-associated processes, while tECM-treated hASCs expressed a mixture of ECM- and cell activity-associated processes, which may explain in part the enhanced proliferation and tenogenic differentiation of tECM-treated hASCs. Conclusions Our findings showed that urea-extracted tECM contained 20% w/w collagens and is significantly enriched with other non-collagenous tendon ECM components. Compared to Col1 treatment, tECM supplementation enhanced hASC proliferation and tenogenic differentiation as well as induced distinct gene expression profiles. These findings provide insights into the potential mechanism of the pro-tenogenic bioactivity of tECM and support the development of future tECM-based approaches for tendon repair. Supplementary Information The online version contains supplementary material available at 10.1186/s13287-022-03038-0.
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Affiliation(s)
- Ying Rao
- Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China.,School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China
| | - Chenxian Zhu
- Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China.,School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China
| | - Hoi Ching Suen
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China
| | - Shuting Huang
- Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China.,School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China
| | - Jinyue Liao
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China.,Department of Chemical Pathology, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China
| | - Dai Fei Elmer Ker
- Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China.,School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China.,Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China.,Ministry of Education Key Laboratory for Regenerative Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China.,Center for Neuromusculoskeletal Restorative Medicine, Hong Kong Science Park, Sha Tin, Hong Kong, SAR, China
| | - Rocky S Tuan
- Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China. .,School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China. .,Center for Neuromusculoskeletal Restorative Medicine, Hong Kong Science Park, Sha Tin, Hong Kong, SAR, China.
| | - Dan Wang
- Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China. .,School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China. .,Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China. .,Ministry of Education Key Laboratory for Regenerative Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, SAR, China. .,Center for Neuromusculoskeletal Restorative Medicine, Hong Kong Science Park, Sha Tin, Hong Kong, SAR, China.
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31
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Maráková K. The Crucial Step in Every Analytical Workflow: Sample Preparation—Are We Ready For a Growing Area of Intact Protein Analysis? LCGC NORTH AMERICA 2022. [DOI: 10.56530/lcgc.na.ci1888f7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Proteins are biomolecules with a lot of essential functions in a human body. Their varied expression during complex disorders, including cancer, predicts their potential use as biomarkers. Therefore, there is a need for reliable analytical workflows for their analysis in complex biological matrices. Despite the very sensitive and advanced instrumentation we have available for protein analysis today, sample preparation still remains one of the biggest challenges.
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32
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Simms C, Savić N, De Winter K, Parac-Vogt TN. Understanding the role of surfactants in the interaction and hydrolysis of myoglobin by Zr‐MOF‐808. Eur J Inorg Chem 2022. [DOI: 10.1002/ejic.202200145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
| | - Nada Savić
- KU Leuven: Katholieke Universiteit Leuven Chemistry BELGIUM
| | | | - Tatjana N. Parac-Vogt
- KU Leuven Department of Chemistry Molecular Design and Synthesis Celestijnenlaan 200F 3001 Leuven BELGIUM
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33
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Systematic evaluation and optimization of protein extraction parameters in diagnostic FFPE specimens. Clin Proteomics 2022; 19:10. [PMID: 35501693 PMCID: PMC9063121 DOI: 10.1186/s12014-022-09346-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 04/04/2022] [Indexed: 11/10/2022] Open
Abstract
Objectives Formalin-fixed paraffin-embedded (FFPE) tissue is the standard material for diagnostic pathology but poses relevant hurdles to accurate protein extraction due to cross-linking and chemical alterations. While numerous extraction protocols and chemicals have been described, systematic comparative analyses are limited. Various parameters were thus investigated in their qualitative and quantitative effects on protein extraction (PE) efficacy. Special emphasis was put on preservation of membrane proteins (MP) as key subgroup of functionally relevant proteins. Methods Using the example of urothelial carcinoma, FFPE tissue sections were subjected to various deparaffinization, protein extraction and antigen retrieval protocols and buffers as well as different extraction techniques. Performance was measured by protein concentration and western blot analysis of cellular compartment markers as well as liquid chromatography-coupled mass spectrometry (LC–MS). Results Commercially available extraction buffers showed reduced extraction of MPs and came at considerably increased costs. On-slide extraction did not improve PE whereas several other preanalytical steps could be simplified. Systematic variation of temperature and exposure duration demonstrated a quantitatively relevant corridor of optimal antigen retrieval. Conclusions Preanalytical protein extraction can be optimized at various levels to improve unbiased protein extraction and to reduce time and costs. Supplementary Information The online version contains supplementary material available at 10.1186/s12014-022-09346-0.
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Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research. Molecules 2022; 27:molecules27082411. [PMID: 35458608 PMCID: PMC9031286 DOI: 10.3390/molecules27082411] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 04/05/2022] [Accepted: 04/06/2022] [Indexed: 01/27/2023] Open
Abstract
Mass Spectrometry (MS) allows the analysis of proteins and peptides through a variety of methods, such as Electrospray Ionization-Mass Spectrometry (ESI-MS) or Matrix-Assisted Laser Desorption Ionization-Mass Spectrometry (MALDI-MS). These methods allow identification of the mass of a protein or a peptide as intact molecules or the identification of a protein through peptide-mass fingerprinting generated upon enzymatic digestion. Tandem mass spectrometry (MS/MS) allows the fragmentation of proteins and peptides to determine the amino acid sequence of proteins (top-down and middle-down proteomics) and peptides (bottom-up proteomics). Furthermore, tandem mass spectrometry also allows the identification of post-translational modifications (PTMs) of proteins and peptides. Here, we discuss the application of MS/MS in biomedical research, indicating specific examples for the identification of proteins or peptides and their PTMs as relevant biomarkers for diagnostic and therapy.
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Zarei M, Wang P, Jonveaux J, Haller FM, Gu B, Koulov AV, Jahn M. A novel protocol for in-depth analysis of recombinant adeno-associated virus capsid proteins using UHPLC-MS/MS. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2022; 36:e9247. [PMID: 34951071 DOI: 10.1002/rcm.9247] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/16/2021] [Accepted: 12/19/2021] [Indexed: 06/14/2023]
Abstract
RATIONALE In-depth characterization of the three capsid viral proteins (VPs 1, 2, and 3) of adeno-associated viruses (AAVs) is immediately needed to ensure the consistency in gene therapy products and processes. These proteins are typically present at very low concentrations in matrices containing high concentrations of excipients and salts. Thus, there is a need for convenient methods for sample preparation before proteomic analysis. The aim of this study was to meet this need by developing a fast, reliable approach for isolating VPs in a manner enabling their efficient digestion and in-depth characterization using liquid chromatography-mass spectrometry (LC-MS). METHODS VPs from Anc80 were precipitated with different organic solvents, and the resulting precipitates were dissolved in either sodium deoxycholate (SDC) and N-dodecyl-beta-D-maltoside (DDM) or guanidine hydrochloride (Gu-HCl). The peptides obtained by the following enzymatic digestion by either trypsin or Asp-N were analyzed using LC-MS/MS. RESULTS We found that precipitation with chloroform/methanol/water results in fast, efficient preparation of VP samples, allowing 100% and 99.2% amino acid sequence coverage of VP1 for trypsin and Asp-N digestion, respectively. This also allowed complete sequence confirmation of VP1, VP2, and VP3 of Anc80, as well as characterization of the amino acid sequences of the N- and C-terminal regions of each VP, together with their post-translational modifications (PTMs). CONCLUSIONS The presented method enables fast, reliable, and relatively cheap sample preparation for identifying AAV serotypes and characterizing the heterogeneity of capsid viral proteins, including their PTMs.
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Affiliation(s)
| | - Peng Wang
- Lonza Houston, Inc., Houston, Texas, USA
| | | | | | - Bingnan Gu
- Lonza Houston, Inc., Houston, Texas, USA
| | | | - Michael Jahn
- Lonza AG, Drug Product Services, Basel, Switzerland
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Kocheril PA, Lenz KD, Mascareñas DDL, Morales-Garcia JE, Anderson AS, Mukundan H. Portable Waveguide-Based Optical Biosensor. BIOSENSORS 2022; 12:bios12040195. [PMID: 35448255 PMCID: PMC9025188 DOI: 10.3390/bios12040195] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/16/2022] [Accepted: 03/17/2022] [Indexed: 05/31/2023]
Abstract
Rapid, on-site diagnostics allow for timely intervention and response for warfighter support, environmental monitoring, and global health needs. Portable optical biosensors are being widely pursued as a means of achieving fieldable biosensing due to the potential speed and accuracy of optical detection. We recently developed the portable engineered analytic sensor with automated sampling (PEGASUS) with the goal of developing a fieldable, generalizable biosensing platform. Here, we detail the development of PEGASUS's sensing hardware and use a test-bed system of identical sensing hardware and software to demonstrate detection of a fluorescent conjugate at 1 nM through biotin-streptavidin chemistry.
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Affiliation(s)
- Philip A. Kocheril
- Physical Chemistry and Applied Spectroscopy Group, Chemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (P.A.K.); (K.D.L.); (A.S.A.)
| | - Kiersten D. Lenz
- Physical Chemistry and Applied Spectroscopy Group, Chemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (P.A.K.); (K.D.L.); (A.S.A.)
| | - David D. L. Mascareñas
- National Security Education Center, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (D.D.L.M.); (J.E.M.-G.)
| | - John E. Morales-Garcia
- National Security Education Center, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (D.D.L.M.); (J.E.M.-G.)
| | - Aaron S. Anderson
- Physical Chemistry and Applied Spectroscopy Group, Chemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (P.A.K.); (K.D.L.); (A.S.A.)
| | - Harshini Mukundan
- Physical Chemistry and Applied Spectroscopy Group, Chemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (P.A.K.); (K.D.L.); (A.S.A.)
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Ramos Y, Almeida A, Carpio J, Rodríguez‐Ulloa A, Perera Y, González LJ, Wiśniewski JR, Besada V. Gel electrophoresis/electroelution sorting fractionator combined with filter aided sample preparation for deep proteomic analysis. J Sep Sci 2022; 45:1784-1796. [DOI: 10.1002/jssc.202100992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Yassel Ramos
- Proteomics Group System Biology Department Center for Genetic Engineering and Biotechnology Havana Cuba
| | - Alexis Almeida
- Proteomics Group System Biology Department Center for Genetic Engineering and Biotechnology Havana Cuba
| | - Jenis Carpio
- Proteomics Group System Biology Department Center for Genetic Engineering and Biotechnology Havana Cuba
| | - Arielis Rodríguez‐Ulloa
- Proteomics Group System Biology Department Center for Genetic Engineering and Biotechnology Havana Cuba
| | - Yasser Perera
- China‐Cuba Biotechnology Joint Innovation Center (CCBJIC) Yongzhou Zhong Gu Biotechnology Co., Ltd Hunan Province China
- Molecular Oncology Group Pharmacology Department, Center for Genetic Engineering and Biotechnology Havana Cuba
| | - Luis J. González
- Proteomics Group System Biology Department Center for Genetic Engineering and Biotechnology Havana Cuba
| | - Jacek R. Wiśniewski
- Biochemical Proteomics Group Department of Proteomics and Signal Transduction Max‐Planck‐Institute of Biochemistry Martinsried Germany
| | - Vladimir Besada
- Proteomics Group System Biology Department Center for Genetic Engineering and Biotechnology Havana Cuba
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Baniasad M, Kim Y, Shaffer M, Sabag-Daigle A, Leleiwi I, Daly RA, Ahmer BMM, Wrighton KC, Wysocki VH. Optimization of proteomics sample preparation for identification of host and bacterial proteins in mouse feces. Anal Bioanal Chem 2022; 414:2317-2331. [PMID: 35106611 PMCID: PMC9393048 DOI: 10.1007/s00216-022-03885-z] [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: 09/22/2021] [Revised: 12/03/2021] [Accepted: 01/07/2022] [Indexed: 11/01/2022]
Abstract
Bottom-up proteomics is a powerful method for the functional characterization of mouse gut microbiota. To date, most of the bottom-up proteomics studies of the mouse gut rely on limited amounts of fecal samples. With mass-limited samples, the performance of such analyses is highly dependent on the protein extraction protocols and contaminant removal strategies. Here, protein extraction protocols (using different lysis buffers) and contaminant removal strategies (using different types of filters and beads) were systematically evaluated to maximize quantitative reproducibility and the number of identified proteins. Overall, our results recommend a protein extraction method using a combination of sodium dodecyl sulfate (SDS) and urea in Tris-HCl to yield the greatest number of protein identifications. These conditions led to an increase in the number of proteins identified from gram-positive bacteria, such as Firmicutes and Actinobacteria, which is a challenging task. Our analysis further confirmed these conditions led to the extraction of non-abundant bacterial phyla such as Proteobacteria. In addition, we found that, when coupled to our optimized extraction method, suspension trap (S-Trap) outperforms other contaminant removal methods by providing the most reproducible method while producing the greatest number of protein identifications. Overall, our optimized sample preparation workflow is straightforward and fast, and requires minimal sample handling. Furthermore, our approach does not require high amounts of fecal samples, a vital consideration in proteomics studies where mice produce smaller amounts of feces due to a particular physiological condition. Our final method provides efficient digestion of mouse fecal material, is reproducible, and leads to high proteomic coverage for both host and microbiome proteins.
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Affiliation(s)
- Maryam Baniasad
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH, USA
| | - Yongseok Kim
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH, USA
| | - Michael Shaffer
- Department of Soil and Crop Sciences, The Colorado State University, Fort Collins, CO, USA
| | - Anice Sabag-Daigle
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
| | - Ikaia Leleiwi
- Department of Soil and Crop Sciences, The Colorado State University, Fort Collins, CO, USA
| | - Rebecca A Daly
- Department of Soil and Crop Sciences, The Colorado State University, Fort Collins, CO, USA
| | - Brian M M Ahmer
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
| | - Kelly C Wrighton
- Department of Soil and Crop Sciences, The Colorado State University, Fort Collins, CO, USA
| | - Vicki H Wysocki
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH, USA.
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Cui R, Shao M, Bi H. Phosphorylated Protein Levels in Animal-Sourced Food Muscles Based on Fe 3+ and UV/Vis Spectrometry. ACS OMEGA 2022; 7:6560-6567. [PMID: 35252652 PMCID: PMC8892633 DOI: 10.1021/acsomega.1c05641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 02/03/2022] [Indexed: 06/14/2023]
Abstract
Protein phosphorylation, a post-translational modification of proteins, is important in biological regulation. The quantity of phosphorylated proteins is a key requirement for the quality change of animal muscle foods. In the present study, a new approach to quantify phosphorylated proteins and/or peptides was developed based on ferric ions (Fe3+) and UV/vis spectrometry. This method is proved to be ultra-effective in discriminating phosphopeptides and non-phosphopeptides with the assistance of Fe3+. The protocol of extracting proteins with 0.1% trifluoroacetic acid (TFA) solution from animal muscle samples coupled with Fe3+ was verified by using an artificial mixture of peptides with different phosphorylation sites and was successfully used to characterize the phosphorylation quantity in the samples via UV/vis spectrometry. A peptide with one phosphorylated site was taken as a reference standard and successfully utilized for the absolute quantification of phosphorylated proteins in caprine muscles during frozen storage and in fish muscle food samples. This present study paves a new way for the evaluation of phosphorylated protein quantitative levels in bio-samples.
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Affiliation(s)
| | | | - Hongyan Bi
- . Phone: +86-21-61900364. Fax: +86-21-61900365
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40
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Balotf S, Wilson R, Tegg RS, Nichols DS, Wilson CR. Shotgun Proteomics as a Powerful Tool for the Study of the Proteomes of Plants, Their Pathogens, and Plant-Pathogen Interactions. Proteomes 2022; 10:5. [PMID: 35225985 PMCID: PMC8883913 DOI: 10.3390/proteomes10010005] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/12/2022] [Accepted: 01/17/2022] [Indexed: 12/31/2022] Open
Abstract
The interaction between plants and pathogenic microorganisms is a multifaceted process mediated by both plant- and pathogen-derived molecules, including proteins, metabolites, and lipids. Large-scale proteome analysis can quantify the dynamics of proteins, biological pathways, and posttranslational modifications (PTMs) involved in the plant-pathogen interaction. Mass spectrometry (MS)-based proteomics has become the preferred method for characterizing proteins at the proteome and sub-proteome (e.g., the phosphoproteome) levels. MS-based proteomics can reveal changes in the quantitative state of a proteome and provide a foundation for understanding the mechanisms involved in plant-pathogen interactions. This review is intended as a primer for biologists that may be unfamiliar with the diverse range of methodology for MS-based shotgun proteomics, with a focus on techniques that have been used to investigate plant-pathogen interactions. We provide a summary of the essential steps required for shotgun proteomic studies of plants, pathogens and plant-pathogen interactions, including methods for protein digestion, identification, separation, and quantification. Finally, we discuss how protein PTMs may directly participate in the interaction between a pathogen and its host plant.
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Affiliation(s)
- Sadegh Balotf
- New Town Research Laboratories, Tasmanian Institute of Agriculture, University of Tasmania, New Town, TAS 7008, Australia; (S.B.); (R.S.T.)
| | - Richard Wilson
- Central Science Laboratory, University of Tasmania, Hobart, TAS 7001, Australia;
| | - Robert S. Tegg
- New Town Research Laboratories, Tasmanian Institute of Agriculture, University of Tasmania, New Town, TAS 7008, Australia; (S.B.); (R.S.T.)
| | - David S. Nichols
- Central Science Laboratory, University of Tasmania, Hobart, TAS 7001, Australia;
| | - Calum R. Wilson
- New Town Research Laboratories, Tasmanian Institute of Agriculture, University of Tasmania, New Town, TAS 7008, Australia; (S.B.); (R.S.T.)
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Johnson KR, Greguš M, Kostas JC, Ivanov AR. Capillary Electrophoresis Coupled to Electrospray Ionization Tandem Mass Spectrometry for Ultra-Sensitive Proteomic Analysis of Limited Samples. Anal Chem 2022; 94:704-713. [PMID: 34983182 PMCID: PMC8770592 DOI: 10.1021/acs.analchem.1c02929] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
In this work, we developed an ultra-sensitive CE-MS/MS method for bottom-up proteomics analysis of limited samples, down to sub-nanogram levels of total protein. Analysis of 880 and 88 pg of the HeLa protein digest standard by CE-MS/MS yielded ∼1100 ± 46 and ∼160 ± 59 proteins, respectively, demonstrating higher protein and peptide identifications than the current state-of-the-art CE-MS/MS-based proteomic analyses with similar amounts of sample. To demonstrate potential applications of our ultra-sensitive CE-MS/MS method for the analysis of limited biological samples, we digested 500 and 1000 HeLa cells using a miniaturized in-solution digestion workflow. From 1-, 5-, and 10-cell equivalents injected from the resulted digests, we identified 744 ± 127, 1139 ± 24, and 1271 ± 6 proteins and 3353 ± 719, 5709 ± 513, and 8527 ± 114 peptide groups, respectively. Furthermore, we performed a comparative assessment of CE-MS/MS and two reversed-phased nano-liquid chromatography (RP-nLC-MS/MS) methods (monolithic and packed columns) for the analysis of a ∼10 ng HeLa protein digest standard. Our results demonstrate complementarity in the protein- and especially peptide-level identifications of the evaluated CE-MS- and RP-nLC-MS-based methods. The techniques were further assessed to detect post-translational modifications and highlight the strengths of the CE-MS/MS approach in identifying potentially important and biologically relevant modified peptides. With a migration window of ∼60 min, CE-MS/MS identified ∼2000 ± 53 proteins on average from a single injection of ∼8.8 ng of the HeLa protein digest standard. Additionally, an average of 232 ± 10 phosphopeptides and 377 ± 14 N-terminal acetylated peptides were identified in CE-MS/MS analyses at this sample amount, corresponding to 2- and 1.5-fold more identifications for each respective modification found by nLC-MS/MS methods.
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Affiliation(s)
- Kendall R Johnson
- Department of Chemistry and Chemical Biology, Northeastern University, Barnett Institute of Chemical and Biological Analysis, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Michal Greguš
- Department of Chemistry and Chemical Biology, Northeastern University, Barnett Institute of Chemical and Biological Analysis, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - James C Kostas
- Department of Chemistry and Chemical Biology, Northeastern University, Barnett Institute of Chemical and Biological Analysis, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Alexander R Ivanov
- Department of Chemistry and Chemical Biology, Northeastern University, Barnett Institute of Chemical and Biological Analysis, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
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Do T, Guran R, Adam V, Zitka O. Use of MALDI-TOF mass spectrometry for virus identification: a review. Analyst 2022; 147:3131-3154. [DOI: 10.1039/d2an00431c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The possibilities of virus identification, including SARS-CoV-2, by MALDI-TOF mass spectrometry are discussed in this review.
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Affiliation(s)
- Tomas Do
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
| | - Roman Guran
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic
| | - Vojtech Adam
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic
| | - Ondrej Zitka
- Department of Chemistry and Biochemistry, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Purkynova 656/123, CZ-612 00 Brno, Czech Republic
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Yang S, Xiong Y, Du Y, Wang YJ, Zhang L, Shen F, Liu YJ, Liu X, Yang P. Ultrasensitive Trace Sample Proteomics Unraveled the Protein Remodeling during Mesenchymal-Amoeboid Transition. Anal Chem 2021; 94:768-776. [PMID: 34928127 DOI: 10.1021/acs.analchem.1c03212] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Deep mining the proteome of trace biological samples is critical for biomedical applications. However, it remains a challenge due to the loss of analytes caused by current sample preparation procedures. To address this, we recently developed a single-pot and miniaturized in-solution digestion (SMID) method for minute sample handling with three streamlined steps and completed within 3 h. The SMID approach outperformed the traditional workflow in substantially saving time, reducing sample loss, and exhibiting extensive applicability for 10-100 000 cell analysis. This user-friendly and high-sensitivity strategy enables ∼5300 proteins and 53 000 peptides to be confidently identified within 1 h of mass spectrometry (MS) time from a small amount of 1000 HeLa cells. In addition, we accurately and robustly detected proteomes in 10 mouse oocytes with excellent reproducibility. We further adopted SMID for the proteome analysis in cell migration under confinement, which induced cells to undergo a mesenchymal-amoeboid transition (MAT). During the MAT, a systematic quantitative proteome map of 1000 HeLa cells was constructed with seven expression profile clusters, which illustrated the application of SMID and provided a fundamental resource to investigate the mechanism of MAT.
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Affiliation(s)
- Shuang Yang
- The Fifth People's Hospital of Shanghai, Zhongshan Hospital, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Yueting Xiong
- The Fifth People's Hospital of Shanghai, Zhongshan Hospital, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Yang Du
- The Fifth People's Hospital of Shanghai, Zhongshan Hospital, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Ya-Jun Wang
- The Fifth People's Hospital of Shanghai, Zhongshan Hospital, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Lei Zhang
- The Fifth People's Hospital of Shanghai, Zhongshan Hospital, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Fenglin Shen
- The Fifth People's Hospital of Shanghai, Zhongshan Hospital, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Yan-Jun Liu
- The Fifth People's Hospital of Shanghai, Zhongshan Hospital, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Xiaohui Liu
- The Fifth People's Hospital of Shanghai, Zhongshan Hospital, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Pengyuan Yang
- The Fifth People's Hospital of Shanghai, Zhongshan Hospital, and Shanghai Key Laboratory of Medical Epigenetics, International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
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Rossouw S, Bendou H, Bell L, Rigby J, Christoffels A. Effect of polyethylene glycol 20 000 on protein extraction efficiency of formalin-fixed paraffin-embedded tissues in South Africa. Afr J Lab Med 2021; 10:1122. [PMID: 34966662 PMCID: PMC8689371 DOI: 10.4102/ajlm.v10i1.1122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 09/08/2021] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND Optimal protocols for efficient and reproducible protein extraction from formalin-fixed paraffin-embedded (FFPE) tissues are not yet standardised and new techniques are continually developed and improved. The effect of polyethylene glycol (PEG) 20 000 on protein extraction efficiency has not been evaluated using human FFPE colorectal cancer tissues and there is no consensus on the protein extraction solution required for efficient, reproducible extraction. OBJECTIVE The impact of PEG 20 000 on protein extraction efficiency, reproducibility and protein selection bias was evaluated using FFPE colonic tissue via liquid chromatography tandem mass spectrometry analysis. METHODS This study was conducted from August 2017 to July 2019 using human FFPE colorectal carcinoma tissues from the Anatomical Pathology department at Tygerberg Hospital in South Africa. Samples were analysed via label-free liquid chromatography tandem mass spectrometry to determine the impact of using PEG 20 000 in the protein extraction solution. Data were assessed regarding peptide and protein identifications, method efficiency, reproducibility, protein characteristics and organisation relating to gene ontology categories. RESULTS Polyethylene glycol 20 000 exclusion increased peptides and proteins identifications and the method was more reproducible compared to the samples processed with PEG 20 000. However, no differences were observed with regard to protein selection bias. We found that higher protein concentrations (> 10 µg) compromised the function of PEG. CONCLUSION This study indicates that protocols generating high protein yields from human FFPE tissues would benefit from the exclusion of PEG 20 000 in the protein extraction solution.
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Affiliation(s)
- Sophia Rossouw
- South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa
| | - Hocine Bendou
- South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa
| | - Liam Bell
- Centre for Proteomic and Genomic Research, Observatory, Cape Town, South Africa
| | - Jonathan Rigby
- Department of Anatomical Pathology, National Health Laboratory Service, Tygerberg Hospital, Stellenbosch University, Cape Town, South Africa
| | - Alan Christoffels
- South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa
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Milkovska-Stamenova S, Wölk M, Hoffmann R. Evaluation of Sample Preparation Strategies for Human Milk and Plasma Proteomics. Molecules 2021; 26:molecules26226816. [PMID: 34833908 PMCID: PMC8618985 DOI: 10.3390/molecules26226816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/04/2021] [Accepted: 11/09/2021] [Indexed: 11/16/2022] Open
Abstract
Sample preparation is the most critical step in proteomics as it directly affects the subset of proteins and peptides that can be reliably identified and quantified. Although a variety of efficient and reproducible sample preparation strategies have been developed, their applicability and efficacy depends much on the biological sample. Here, three approaches were evaluated for the human milk and plasma proteomes. Protein extracts were digested either in an ultrafiltration unit (filter-aided sample preparation, FASP) or in-solution (ISD). ISD samples were desalted by solid-phase extraction prior to nRPC-ESI-MS/MS. Additionally, milk and plasma samples were directly digested by FASP without prior protein precipitation. Each strategy provided inherent advantages and disadvantages for milk and plasma. FASP appeared to be the most time efficient procedure with a low miscleavage rate when used for a biological sample aliquot, but quantitation was less reproducible. A prior protein precipitation step improved the quantitation by FASP due to significantly higher peak areas for plasma and a much better reproducibility for milk. Moreover, the miscleavage rate for milk, the identification rate for plasma, and the carbamidomethylation efficiency were improved. In contrast, ISD of both milk and plasma resulted in higher miscleavage rates and is therefore less suitable for targeted proteomics.
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Affiliation(s)
- Sanja Milkovska-Stamenova
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany; (M.W.); (R.H.)
- Center for Biotechnology and Biomedicine, Universität Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany
- Correspondence:
| | - Michele Wölk
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany; (M.W.); (R.H.)
- Center for Biotechnology and Biomedicine, Universität Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany
| | - Ralf Hoffmann
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany; (M.W.); (R.H.)
- Center for Biotechnology and Biomedicine, Universität Leipzig, Deutscher Platz 5, 04103 Leipzig, Germany
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46
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Urinary Protein and Peptide Markers in Chronic Kidney Disease. Int J Mol Sci 2021; 22:ijms222212123. [PMID: 34830001 PMCID: PMC8625140 DOI: 10.3390/ijms222212123] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 10/28/2021] [Accepted: 11/03/2021] [Indexed: 12/21/2022] Open
Abstract
Chronic kidney disease (CKD) is a non-specific type of kidney disease that causes a gradual decline in kidney function (from months to years). CKD is a significant risk factor for death, cardiovascular disease, and end-stage renal disease. CKDs of different origins may have the same clinical and laboratory manifestations but different progression rates, which requires early diagnosis to determine. This review focuses on protein/peptide biomarkers of the leading causes of CKD: diabetic nephropathy, IgA nephropathy, lupus nephritis, focal segmental glomerulosclerosis, and membranous nephropathy. Mass spectrometry (MS) approaches provided the most information about urinary peptide and protein contents in different nephropathies. New analytical approaches allow urinary proteomic-peptide profiles to be used as early non-invasive diagnostic tools for specific morphological forms of kidney disease and may become a safe alternative to renal biopsy. MS studies of the key pathogenetic mechanisms of renal disease progression may also contribute to developing new approaches for targeted therapy.
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47
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Yuen JWM, Li KK, Lam TC. Preparation of Hard Tissues Like Bone or Cartilage for Shotgun Mass Spectrometry Analysis of the Proteome. Curr Protoc 2021; 1:e282. [PMID: 34679255 DOI: 10.1002/cpz1.282] [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: 11/10/2022]
Abstract
Proteomic analyses of intervertebral discs (IVDs) reveal information for understanding the fundamentals of biological processes and pathogenesis but also provide insights for novel pharmaceutical development. Sensitive mass spectrometry techniques and bioinformatics have advanced the detection and identification of proteins from any sample. Due to the challenges of catastrophic sample-loss artifacts during hard-tissue extraction, however, many researchers have omitted the cartilage endplates of IVDs for protein extraction, analyzing only the cellular components of the annulus fibrosus and/or nucleus pulposus. The full proteomic picture of IVDs is compromised without extracting proteins from intact IVDs. Here, we describe a novel preparation method using snap-freeze grinding, which allows for mechanical disruption and customized chemical lysis of hard tissues such as bone or cartilage. This method replaces the time-consuming and insufficient conventional tissue homogenization methods. Sample loss and contamination could be minimized during proteolysis by using an in-solution protein digestion and desalting procedure. We demonstrate excellent proteome coverage with intact mouse IVDs by analyzing samples in a hybrid quadrupole time-of-flight tandem mass spectrometer. © 2021 Wiley Periodicals LLC.
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Affiliation(s)
- John W M Yuen
- School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
| | - K K Li
- School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
| | - Thomas C Lam
- School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.,Centre for Eye and Vision Research, Hong Kong Science Park, Pak Shek Kok, Hong Kong
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48
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Kulyyassov A, Fresnais M, Longuespée R. Targeted liquid chromatography-tandem mass spectrometry analysis of proteins: Basic principles, applications, and perspectives. Proteomics 2021; 21:e2100153. [PMID: 34591362 DOI: 10.1002/pmic.202100153] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/08/2021] [Accepted: 09/24/2021] [Indexed: 12/25/2022]
Abstract
Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) is now the main analytical method for the identification and quantification of peptides and proteins in biological samples. In modern research, identification of biomarkers and their quantitative comparison between samples are becoming increasingly important for discovery, validation, and monitoring. Such data can be obtained following specific signals after fragmentation of peptides using multiple reaction monitoring (MRM) and parallel reaction monitoring (PRM) methods, with high specificity, accuracy, and reproducibility. In addition, these methods allow measurement of the amount of post-translationally modified forms and isoforms of proteins. This review article describes the basic principles of MRM assays, guidelines for sample preparation, recent advanced MRM-based strategies, applications and illustrative perspectives of MRM/PRM methods in clinical research and molecular biology.
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Affiliation(s)
| | - Margaux Fresnais
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Rémi Longuespée
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
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49
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Kassem S, van der Pan K, de Jager AL, Naber BAE, de Laat IF, Louis A, van Dongen JJM, Teodosio C, Díez P. Proteomics for Low Cell Numbers: How to Optimize the Sample Preparation Workflow for Mass Spectrometry Analysis. J Proteome Res 2021; 20:4217-4230. [PMID: 34328739 PMCID: PMC8419858 DOI: 10.1021/acs.jproteome.1c00321] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Indexed: 12/20/2022]
Abstract
Nowadays, massive genomics and transcriptomics data can be generated at the single-cell level. However, proteomics in this setting is still a big challenge. Despite the great improvements in sensitivity and performance of mass spectrometry instruments and the better knowledge on sample preparation processing, it is widely acknowledged that multistep proteomics workflows may lead to substantial sample loss, especially when working with paucicellular samples. Still, in clinical fields, frequently limited sample amounts are available for downstream analysis, thereby hampering comprehensive characterization at protein level. To aim at better protein and peptide recoveries, we compare existing and novel approaches in the multistep sample preparation protocols for mass spectrometry studies, from sample collection, cell lysis, protein quantification, and electrophoresis/staining to protein digestion, peptide recovery, and LC-MS/MS instruments. From this critical evaluation, we conclude that the recent innovations and technologies, together with high quality management of samples, make proteomics on paucicellular samples possible, which will have immediate impact for the proteomics community.
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Affiliation(s)
- Sara Kassem
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Kyra van der Pan
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Anniek L. de Jager
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Brigitta A. E. Naber
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Inge F. de Laat
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Alesha Louis
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Jacques J. M. van Dongen
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Cristina Teodosio
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Paula Díez
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
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50
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A purified human platelet pellet lysate rich in neurotrophic factors and antioxidants repairs and protects corneal endothelial cells from oxidative stress. Biomed Pharmacother 2021; 142:112046. [PMID: 34426259 DOI: 10.1016/j.biopha.2021.112046] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/09/2021] [Accepted: 08/12/2021] [Indexed: 12/13/2022] Open
Abstract
Human platelet lysate (HPL) is a complex mixture of potent bioactive molecules instrumental in tissue repair and regeneration. Due to their remarkable safety, cost-effective production, and availability at global level from collected platelet concentrates, HPLs can become a powerful biotherapy for various therapeutic applications, if standardized and carefully validated through pre-clinical and clinical studies. In this work, the possibility to use a tailor-made HPL as a corneal transplant alternative to treat the gradual decrease in the number of corneal endothelial cells (CECs) associated with aging, was evaluated. The HPL preparation was thoroughly characterized using various proteomics tools that revealed a remarkable richness in multiple growth factors and antioxidants. Treatment of B4G12 and BCE C/D-1b CECs with the HPL increased their viability, enhanced the wound closure rate, and maintained cell growth and typical hexagonal morphology. Besides, this HPL significantly protected against tert-butyl hydroperoxide (TBHP)-induced oxidative stress as evidenced by increasing CEC viability, decreased cell death and reactive oxygen species formation, and enhanced antioxidant capacity. Proteomics analysis of treated CECs confirmed that HPL treatment triggered the corneal healing pathway and enhanced oxidative stress. These data strongly support further pre-clinical evaluation of this tailor-made HPL as a novel CEC regeneration biotherapy. HPL treatment may eventually represent a pragmatic and cost-effective alternative to corneal transplant to treat damages of the corneal endothelium which is a major cause of blindness worldwide.
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