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Wang Q, Wang Q, Zhu G, Sun L. Capillary Electrophoresis-Mass Spectrometry for Top-Down Proteomics. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2025; 18:125-147. [PMID: 39847747 PMCID: PMC12081194 DOI: 10.1146/annurev-anchem-071124-092242] [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] [Indexed: 01/25/2025]
Abstract
Mass spectrometry (MS)-based top-down proteomics (TDP) characterizes proteoforms in cells, tissues, and biological fluids (e.g., human plasma) to better our understanding of protein function and to discover new protein biomarkers for disease diagnosis and therapeutic development. Separations of proteoforms with high peak capacity are needed due to the high complexity of biological samples. Capillary electrophoresis (CE)-MS has been recognized as a powerful analytical tool for protein analysis since the 1980s owing to its high separation efficiency and sensitivity of CE-MS for proteoforms. Here, we review benefits of CE-MS for advancing TDP, challenges and solutions of the method, and the main research areas in which CE-MS-based TDP can make significant contributions. We provide a brief perspective of CE-MS-based TDP moving forward.
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Affiliation(s)
- Qianjie Wang
- Department of Chemistry, Michigan State University, East Lansing, Michigan, USA;
| | - Qianyi Wang
- Department of Chemistry, Michigan State University, East Lansing, Michigan, USA;
| | - Guijie Zhu
- Department of Chemistry, Michigan State University, East Lansing, Michigan, USA;
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, East Lansing, Michigan, USA;
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2
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Kaulich PT, Tholey A. Top-Down Proteomics: Why and When? Proteomics 2025:e202400338. [PMID: 40289405 DOI: 10.1002/pmic.202400338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2025] [Revised: 04/15/2025] [Accepted: 04/15/2025] [Indexed: 04/30/2025]
Abstract
Manifold biological processes at all levels of transcription and translation can lead to the formation of a high number of different protein species (i.e., proteoforms), which outnumber the sequences encoded in the genome by far. Due to the large number of protein molecules formed in this way, which span an enormous range of different physicochemical properties, proteoforms are the functional drivers of all biological processes, creating the need for powerful analytical approaches to decipher this language of life. While bottom-up proteomics has become the most widely used approach, providing features such as high sensitivity, depth of analysis, and throughput, it has its limitations when it comes to identifying, quantifying, and characterizing proteoforms. In particular, the major bottleneck is to assign peptide-level information to the original proteoforms. In contrast, top-down proteomics (TDP) targets the direct analysis of intact proteoforms. Despite being characterized by a number of technological challenges, the TDP community has established numerous protocols that allow easy implementation in any proteomics laboratory. In this viewpoint, we compare both approaches, argue that it is worth embedding TDP experiments, and show fields of research in which TDP can be successfully implemented to perform integrative multi-level proteoformics.
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Affiliation(s)
- Philipp T Kaulich
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Andreas Tholey
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
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3
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Kuno S, Pakpian N, Muanprasat C. The potential role of PD-1/PD-L1 small molecule inhibitors in colorectal cancer with different mechanisms of action. Eur J Pharmacol 2025; 992:177351. [PMID: 39922421 DOI: 10.1016/j.ejphar.2025.177351] [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: 09/10/2024] [Revised: 02/03/2025] [Accepted: 02/04/2025] [Indexed: 02/10/2025]
Abstract
Colorectal cancer (CRC) remains one of the leading causes of cancer-related death worldwide, with increasing incidence in younger ages highlighting the need for new or alternative therapy, of which is immune checkpoint inhibitors. Antibody-based immune checkpoint inhibitors targeting the interaction between programmed cell death protein 1 (PD-1) and programmed death-ligand 1 (PD-L1) have revolutionized cancer treatment, including CRC. However, the low response rate in CRC highlights the need for additional research and innovative therapies. Small molecule inhibitors have risen as another strategy worth exploring, considering their potential to target a wide array of PD-1/PD-L1-related pathways. This review focuses on the potential of small molecule inhibitors targeting the PD-1/PD-L1 axis in CRC. Exploring various classes of small molecule inhibitors, including those that directly block the PD-1/PD-L1 interaction and others that target upstream regulators or downstream signaling pathways involved in PD-1/PD-L1-mediated immune suppression. Additionally, modulation of post-transcriptional and post-translational processes, thereby influencing the expression, stability, or localization of PD-1/PD-L1 proteins to enhance antitumor immunity, provides a multifaceted treatment approach. By disrupting these pathways, these inhibitors can restore immune system activity against tumor cells, offering new hope for overcoming resistance and improving outcomes in CRC patients who do not respond to conventional immune checkpoint inhibitors (ICIs). Integrating these small molecules into CRC treatment strategies could represent a promising advancement in the battle against the challenging disease.
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Affiliation(s)
- Suhaibee Kuno
- Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Samut Prakan, Thailand
| | - Nattaporn Pakpian
- Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Samut Prakan, Thailand
| | - Chatchai Muanprasat
- Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Samut Prakan, Thailand.
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4
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Takemori A, Kaulich PT, Tholey A, Takemori N. PEPPI-MS: gel-based sample pre-fractionation for deep top-down and middle-down proteomics. Nat Protoc 2025:10.1038/s41596-024-01100-0. [PMID: 39820051 DOI: 10.1038/s41596-024-01100-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 10/11/2024] [Indexed: 01/19/2025]
Abstract
Top-down analysis of intact proteins and middle-down analysis of proteins subjected to limited digestion require efficient detection of traces of proteoforms in samples, necessitating the reduction of sample complexity by thorough pre-fractionation of the proteome components in the sample. SDS-PAGE is a simple and inexpensive high-resolution protein-separation technique widely used in biochemical and molecular biology experiments. Although its effectiveness for sample preparation in bottom-up proteomics has been proven, establishing a method for highly efficient recovery of intact proteins from the gel matrix has long been a challenge for its implementation in top-down and middle-down proteomics. As a much-awaited solution to this problem, we present an experimental protocol for efficient proteoform fractionation from complex biological samples using passively eluting proteins from polyacrylamide gels as intact species for mass spectrometry (PEPPI-MS), a rapid method for extraction of intact proteins separated by SDS-PAGE. PEPPI-MS allows recovery of proteins below 100 kDa separated by SDS-PAGE in solution with a median efficiency of 68% within 10 min and, unlike conventional electroelution methods, requires no special equipment, contributing to a remarkably economical implementation. The entire protocol from electrophoresis to protein purification can be performed in <5 h. By combining the resulting PEPPI fraction with other protein-separation techniques, such as reversed-phase liquid chromatography and ion mobility techniques, multidimensional proteome separations for in-depth proteoform analysis can be easily achieved.
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Affiliation(s)
- Ayako Takemori
- Advanced Research Support Center, Ehime University, Ehime, Japan
| | - Philipp T Kaulich
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Andreas Tholey
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Nobuaki Takemori
- Advanced Research Support Center, Ehime University, Ehime, Japan.
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5
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Saei AA, Sun L, Mahmoudi M. The role of protein corona in advancing plasma proteomics. Proteomics 2025; 25:e2400028. [PMID: 39221533 PMCID: PMC11735278 DOI: 10.1002/pmic.202400028] [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: 07/10/2024] [Revised: 08/19/2024] [Accepted: 08/21/2024] [Indexed: 09/04/2024]
Abstract
The protein corona, a layer of biomolecules forming around nanoparticles in biological environments, critically influences nanoparticle interactions with biosystems, affecting pharmacokinetics and biological outcomes. Initially, the protein corona presented challenges for nanomedicine and nanotoxicology, such as nutrient depletion in cell cultures and masking of nanoparticle-targeting species. However, recent advancements have highlighted its potential in environmental toxicity, proteomics, and immunology. This viewpoint focuses on leveraging the protein corona to enhance the depth of plasma proteome analysis, addressing challenges posed by the high dynamic range of protein concentrations in plasma. The protein corona simplifies sample preparation, enriches low-abundance proteins, and improves proteome coverage. Innovations include using diverse nanoparticles and spiking small molecules to increase the number of quantified proteins. Reproducibility issues across core facilities necessitate standardized protocols. Moreover, top-down proteomics enables proteoform-specific measurements, providing deeper insights into protein corona composition. Future research should aim at improving top-down proteomics techniques and integrating protein corona studies and proteomics for personalized medicine and advanced diagnostics.
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Affiliation(s)
- Amir Ata Saei
- Center for Translational Microbiome ResearchDepartment of Microbiology, Tumor and Cell BiologyKarolinska InstitutetStockholmSweden
| | - Liangliang Sun
- Department of ChemistryMichigan State UniversityEast LansingMichiganUSA
| | - Morteza Mahmoudi
- Department of Radiology and Precision Health ProgramMichigan State UniversityEast LansingMichiganUSA
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Ashkarran AA, Gharibi H, Sadeghi SA, Modaresi SM, Wang Q, Lin TJ, Yerima G, Tamadon A, Sayadi M, Jafari M, Lin Z, Ritz D, Kakhniashvili D, Guha A, Mofrad MRK, Sun L, Landry MP, Saei AA, Mahmoudi M. Small molecule modulation of protein corona for deep plasma proteome profiling. Nat Commun 2024; 15:9638. [PMID: 39511193 PMCID: PMC11544298 DOI: 10.1038/s41467-024-53966-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 10/29/2024] [Indexed: 11/15/2024] Open
Abstract
The protein corona formed on nanoparticles (NPs) has potential as a valuable diagnostic tool for improving plasma proteome coverage. Here, we show that spiking small molecules, including metabolites, lipids, vitamins, and nutrients into plasma can induce diverse protein corona patterns on otherwise identical NPs, significantly enhancing the depth of plasma proteome profiling. The protein coronas on polystyrene NPs when exposed to plasma treated with an array of small molecules allows for the detection of 1793 proteins marking an 8.25-fold increase in the number of quantified proteins compared to plasma alone (218 proteins) and a 2.63-fold increase relative to the untreated protein corona (681 proteins). Furthermore, we discovered that adding 1000 µg/ml phosphatidylcholine could singularly enable the detection of 897 proteins. At this specific concentration, phosphatidylcholine selectively depletes the four most abundant plasma proteins, including albumin, thus reducing the dynamic range of plasma proteome and enabling the detection of proteins with lower abundance. Employing an optimized data-independent acquisition approach, the inclusion of phosphatidylcholine leads to the detection of 1436 proteins in a single plasma sample. Our molecular dynamics results reveal that phosphatidylcholine interacts with albumin via hydrophobic interactions, H-bonds, and water bridges. The addition of phosphatidylcholine also enables the detection of 337 additional proteoforms compared to untreated protein corona using a top-down proteomics approach. Given the critical role of plasma proteomics in biomarker discovery and disease monitoring, we anticipate the widespread adoption of this methodology for the identification and clinical translation of biomarkers.
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Affiliation(s)
- Ali Akbar Ashkarran
- Precision Health Program, Michigan State University, East Lansing, MI, USA
- Depatment of Radiology, College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Hassan Gharibi
- Division of Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Qianyi Wang
- Department of Chemistry, Michigan State University, East Lansing, MI, USA
| | - Teng-Jui Lin
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA
| | - Ghafar Yerima
- Molecular Cell Biomechanics Laboratory, Departments of Bioengineering and Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA
| | - Ali Tamadon
- Molecular Cell Biomechanics Laboratory, Departments of Bioengineering and Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA
| | - Maryam Sayadi
- Department of Biomedical Engineering, Michigan State University, East Lansing, MI, USA
| | - Maryam Jafari
- Division of ENT Diseases, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Zijin Lin
- Precision Health Program, Michigan State University, East Lansing, MI, USA
| | - Danilo Ritz
- Proteomics Core Facility, Biozentrum, University of Basel, Basel, Switzerland
| | - David Kakhniashvili
- Proteomics and Metabolomics Core Facility, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Avirup Guha
- Cardio-Oncology Program, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Mohammad R K Mofrad
- Molecular Cell Biomechanics Laboratory, Departments of Bioengineering and Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, East Lansing, MI, USA
| | - Markita P Landry
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA
- Department of Neuroscience, University of California, Berkeley, Berkeley, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Amir Ata Saei
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
| | - Morteza Mahmoudi
- Precision Health Program, Michigan State University, East Lansing, MI, USA.
- Depatment of Radiology, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
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Wang Q, Gao G, Fang F, Wang Q, Lundquist PK, Sun L. A simple and efficient approach for preparing cationic coating with tunable electroosmotic flow for capillary zone electrophoresis-mass spectrometry-based top-down proteomics. Anal Chim Acta 2024; 1328:343162. [PMID: 39266194 PMCID: PMC11404064 DOI: 10.1016/j.aca.2024.343162] [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: 06/12/2024] [Revised: 08/20/2024] [Accepted: 08/26/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND Capillary zone electrophoresis-tandem mass spectrometry (CZE-MS/MS) has become a valuable analytical technique in top-down proteomics (TDP). CZE-MS/MS-based TDP typically employs separation capillaries with neutral coatings (i.e., linear polyacrylamide, LPA). However, issues related to separation resolution and reproducibility remain with the LPA-coated capillaries due to the unavoidable non-specific protein adsorption onto the capillary wall. Cationic coatings can be critical alternatives to LPA coating for CZE-MS/MS-based TDP due to the electrostatic repulsion between the positively charged capillary inner wall and proteoform molecules in the acidic separation buffer. Unfortunately, there are only very few studies using cationic coating-based CZE-MS/MS for TDP studies. RESULTS In this work, we aimed to develop a simple and efficient approach for preparing separation capillaries with a cationic coating, i.e., poly (acrylamide-co-(3-acrylamidopropyl) trimethylammonium chloride [PAMAPTAC]) for CZE-MS/MS-based TDP. The PAMAPTAC coating-based CZE-MS produced significantly better separation resolution of proteoforms compared to the traditionally used LPA-coated approach. It achieved reproducible separation and measurement of a simple proteoform mixture and a complex proteome sample (i.e., a yeast cell lysate) regarding migration time, proteoform intensity, and the number of proteoform identifications. The PAMAPTAC coating-based CZE-MS enabled the detection of large proteoforms (≥30 kDa) from the yeast cell lysate reproducibly without any size-based prefractionation. Interestingly, the mobility of proteoforms using the PAMAPTAC coating can be predicted accurately using a simple semi-empirical model. SIGNIFICANCE The results render the PAMAPTAC coating as a valuable alternative to the LPA coating to advance CZE-MS-based TDP towards high-resolution separation and highly reproducible measurement of proteoforms in complex samples.
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Affiliation(s)
- Qianjie Wang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI, 48824, USA; Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, 48824, USA; Plant Resilience Institute, Michigan State University, East Lansing, MI, 48824, USA
| | - Guangyao Gao
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI, 48824, USA
| | - Fei Fang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI, 48824, USA
| | - Qianyi Wang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI, 48824, USA
| | - Peter K Lundquist
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, 48824, USA; Plant Resilience Institute, Michigan State University, East Lansing, MI, 48824, USA
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI, 48824, USA.
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8
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Sadeghi S, Ashkarran AA, Wang Q, Zhu G, Mahmoudi M, Sun L. Mass Spectrometry-Based Top-Down Proteomics in Nanomedicine: Proteoform-Specific Measurement of Protein Corona. ACS NANO 2024; 18. [PMID: 39276099 PMCID: PMC11440641 DOI: 10.1021/acsnano.4c04675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 08/30/2024] [Accepted: 09/06/2024] [Indexed: 09/16/2024]
Abstract
Conventional mass spectrometry (MS)-based bottom-up proteomics (BUP) analysis of the protein corona [i.e., an evolving layer of biomolecules, mostly proteins, formed on the surface of nanoparticles (NPs) during their interactions with biomolecular fluids] enabled the nanomedicine community to partly identify the biological identity of NPs. Such an approach, however, fails to pinpoint the specific proteoforms─distinct molecular variants of proteins in the protein corona. The proteoform-level information could potentially advance the prediction of the biological fate and pharmacokinetics of nanomedicines. Recognizing this limitation, this study pioneers a robust and reproducible MS-based top-down proteomics (TDP) technique for characterizing proteoforms in the protein corona. Our TDP approach has successfully identified about 900 proteoforms in the protein corona of polystyrene NPs, ranging from 2 to 70 kDa, revealing proteoforms of 48 protein biomarkers with combinations of post-translational modifications, signal peptide cleavages, and/or truncations─details that BUP could not fully discern. This advancement in MS-based TDP offers a more advanced approach to characterize NP protein coronas, deepening our understanding of NPs' biological identities. We, therefore, propose using both TDP and BUP strategies to obtain more comprehensive information about the protein corona, which, in turn, can further enhance the diagnostic and therapeutic efficacy of nanomedicine technologies.
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Affiliation(s)
- Seyed
Amirhossein Sadeghi
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Ali Akbar Ashkarran
- Department
of Radiology and Precision Health Program, Michigan State University, East Lansing, Michigan 48824, United States
| | - Qianyi Wang
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Guijie Zhu
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Morteza Mahmoudi
- Department
of Radiology and Precision Health Program, Michigan State University, East Lansing, Michigan 48824, United States
| | - Liangliang Sun
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
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Busquets-Hernández C, Ribó S, Gratacós-Batlle E, Carbajo D, Tsiotsia A, Blanco-Canosa JB, Chamberlain LH, Triola G. Quantitative analysis of protein lipidation and acyl-CoAs reveals substrate preferences of the S-acylation machinery. Chem Sci 2024; 15:12845-12855. [PMID: 39148806 PMCID: PMC11322976 DOI: 10.1039/d4sc02235a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 07/08/2024] [Indexed: 08/17/2024] Open
Abstract
Protein palmitoylation or S-acylation has emerged as a key regulator of cellular processes. Increasing evidence shows that this modification is not restricted to palmitate but it can include additional fatty acids, raising the possibility that differential S-acylation contributes to the fine-tuning of protein activity. However, methods to profile the acyl moieties attached to proteins are scarce. Herein, we report a method for the identification and quantification of lipids bound to proteins that relies on hydroxylamine treatment and mass spectrometry analysis of fatty acid hydroxamates. This method has enabled unprecedented and extensive profiling of the S-acylome in different cell lines and tissues and has shed light on the substrate specificity of some S-acylating enzymes. Moreover, we could extend it to quantify also the acyl-CoAs, which are thioesters formed between a fatty acid and a coenzyme A, overcoming many of the previously described challenges for the detection of such species. Importantly, the simultaneous analysis of the lipid fraction and the proteome allowed us to establish, for the first time, a direct correlation between the endogenous levels of acyl-CoAs and the S-acylation profile of its proteome.
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Affiliation(s)
- Carla Busquets-Hernández
- Department of Biological Chemistry, Institute for Advanced Chemistry of Catalonia (IQAC-CSIC) Barcelona Spain
| | - Silvia Ribó
- Department of Biological Chemistry, Institute for Advanced Chemistry of Catalonia (IQAC-CSIC) Barcelona Spain
| | - Esther Gratacós-Batlle
- Department of Biological Chemistry, Institute for Advanced Chemistry of Catalonia (IQAC-CSIC) Barcelona Spain
| | - Daniel Carbajo
- Department of Biological Chemistry, Institute for Advanced Chemistry of Catalonia (IQAC-CSIC) Barcelona Spain
| | - Alexandra Tsiotsia
- Department of Biological Chemistry, Institute for Advanced Chemistry of Catalonia (IQAC-CSIC) Barcelona Spain
| | - Juan B Blanco-Canosa
- Department of Biological Chemistry, Institute for Advanced Chemistry of Catalonia (IQAC-CSIC) Barcelona Spain
| | - Luke H Chamberlain
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde Glasgow UK
| | - Gemma Triola
- Department of Biological Chemistry, Institute for Advanced Chemistry of Catalonia (IQAC-CSIC) Barcelona Spain
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Xu T, Wang Q, Wang Q, Sun L. Mass spectrometry-intensive top-down proteomics: an update on technology advancements and biomedical applications. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:4664-4682. [PMID: 38973469 PMCID: PMC11257149 DOI: 10.1039/d4ay00651h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 06/25/2024] [Indexed: 07/09/2024]
Abstract
Proteoforms are all forms of protein molecules from the same gene because of variations at the DNA, RNA, and protein levels, e.g., alternative splicing and post-translational modifications (PTMs). Delineation of proteins in a proteoform-specific manner is crucial for understanding their biological functions. Mass spectrometry (MS)-intensive top-down proteomics (TDP) is promising for comprehensively characterizing intact proteoforms in complex biological systems. It has achieved substantial progress in technological development, including sample preparation, proteoform separations, MS instrumentation, and bioinformatics tools. In a single TDP study, thousands of proteoforms can be identified and quantified from a cell lysate. It has also been applied to various biomedical research to better our understanding of protein function in regulating cellular processes and to discover novel proteoform biomarkers of diseases for early diagnosis and therapeutic development. This review covers the most recent technological development and biomedical applications of MS-intensive TDP.
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Affiliation(s)
- Tian Xu
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA.
| | - Qianjie Wang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA.
| | - Qianyi Wang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA.
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA.
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11
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Chetta M, Basile A, Tarsitano M, Rivieccio M, Oro M, Capitanio N, Bukvic N, Priolo M, Rosati A. The Target Therapy Hyperbole: "KRAS (p.G12C)"-The Simplification of a Complex Biological Problem. Cancers (Basel) 2024; 16:2389. [PMID: 39001451 PMCID: PMC11240669 DOI: 10.3390/cancers16132389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Revised: 06/24/2024] [Accepted: 06/27/2024] [Indexed: 07/16/2024] Open
Abstract
Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS) gene variations are linked to the development of numerous cancers, including non-small cell lung cancer (NSCLC), colorectal cancer (CRC), and pancreatic ductal adenocarcinoma (PDAC). The lack of typical drug-binding sites has long hampered the discovery of therapeutic drugs targeting KRAS. Since "CodeBreaK 100" demonstrated Sotorasib's early safety and efficacy and led to its approval, especially in the treatment of non-small cell lung cancer (NSCLC), the subsequent identification of specific inhibitors for the p.G12C mutation has offered hope. However, the CodeBreaK 200 study found no significant difference in overall survival (OS) between patients treated with Docetaxel and Sotorasib (AMG 510), adding another degree of complexity to this ongoing challenge. The current study compares the three-dimensional structures of the two major KRAS isoforms, KRAS4A and KRAS4B. It also investigates the probable structural changes caused by the three major mutations (p.G12C, p.G12D, and p.G12V) within Sotorasib's pocket domain. The computational analysis demonstrates that the wild-type and mutant isoforms have distinct aggregation propensities, resulting in the creation of alternate oligomeric configurations. This study highlights the increased complexity of the biological issue of using KRAS as a therapeutic target. The present study stresses the need for a better understanding of the structural dynamics of KRAS and its mutations to design more effective therapeutic approaches. It also emphasizes the potential of computational approaches to shed light on the complicated molecular pathways that drive KRAS-mediated oncogenesis. This study adds to the ongoing efforts to address the therapeutic hurdles presented by KRAS in cancer treatment.
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Affiliation(s)
- Massimiliano Chetta
- U.O.C. Medical and Laboratory Genetics, A.O.R.N., Cardarelli, 80131 Naples, Italy; (M.T.); (M.R.); (M.O.); (M.P.)
| | - Anna Basile
- StressBioLab, Department of Medicine, Surgery and Dentistry “Schola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (A.B.); (A.R.)
| | - Marina Tarsitano
- U.O.C. Medical and Laboratory Genetics, A.O.R.N., Cardarelli, 80131 Naples, Italy; (M.T.); (M.R.); (M.O.); (M.P.)
| | - Maria Rivieccio
- U.O.C. Medical and Laboratory Genetics, A.O.R.N., Cardarelli, 80131 Naples, Italy; (M.T.); (M.R.); (M.O.); (M.P.)
| | - Maria Oro
- U.O.C. Medical and Laboratory Genetics, A.O.R.N., Cardarelli, 80131 Naples, Italy; (M.T.); (M.R.); (M.O.); (M.P.)
| | - Nazzareno Capitanio
- Department of Clinical and Experimental Medicine, University of Foggia, 71121 Foggia, Italy;
| | - Nenad Bukvic
- Medical Genetics Section, University Hospital Consortium Corporation Polyclinics of Bari, 70124 Bari, Italy;
| | - Manuela Priolo
- U.O.C. Medical and Laboratory Genetics, A.O.R.N., Cardarelli, 80131 Naples, Italy; (M.T.); (M.R.); (M.O.); (M.P.)
| | - Alessandra Rosati
- StressBioLab, Department of Medicine, Surgery and Dentistry “Schola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (A.B.); (A.R.)
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12
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Sadeghi S, Chen W, Wang Q, Wang Q, Fang F, Liu X, Sun L. Pilot Evaluation of the Long-Term Reproducibility of Capillary Zone Electrophoresis-Tandem Mass Spectrometry for Top-Down Proteomics of a Complex Proteome Sample. J Proteome Res 2024; 23:1399-1407. [PMID: 38417052 PMCID: PMC11002928 DOI: 10.1021/acs.jproteome.3c00872] [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: 12/11/2023] [Revised: 02/09/2024] [Accepted: 02/14/2024] [Indexed: 03/01/2024]
Abstract
Mass spectrometry (MS)-based top-down proteomics (TDP) has revolutionized biological research by measuring intact proteoforms in cells, tissues, and biofluids. Capillary zone electrophoresis-tandem MS (CZE-MS/MS) is a valuable technique for TDP, offering a high peak capacity and sensitivity for proteoform separation and detection. However, the long-term reproducibility of CZE-MS/MS in TDP remains unstudied, which is a crucial aspect for large-scale studies. This work investigated the long-term qualitative and quantitative reproducibility of CZE-MS/MS for TDP for the first time, focusing on a yeast cell lysate. Over 1000 proteoforms were identified per run across 62 runs using one linear polyacrylamide (LPA)-coated separation capillary, highlighting the robustness of the CZE-MS/MS technique. However, substantial decreases in proteoform intensity and identification were observed after some initial runs due to proteoform adsorption onto the capillary inner wall. To address this issue, we developed an efficient capillary cleanup procedure using diluted ammonium hydroxide, achieving high qualitative and quantitative reproducibility for the yeast sample across at least 23 runs. The data underscore the capability of CZE-MS/MS for large-scale quantitative TDP of complex samples, signaling its readiness for deployment in broad biological applications. The MS RAW files were deposited in ProteomeXchange Consortium with the data set identifier of PXD046651.
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Affiliation(s)
- Seyed
Amirhossein Sadeghi
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Wenrong Chen
- Department
of BioHealth Informatics, Indiana University-Purdue
University Indianapolis, 535 W Michigan Street, Indianapolis, Indiana 46202, United States
| | - Qianyi Wang
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Qianjie Wang
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Fei Fang
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
| | - Xiaowen Liu
- Deming
Department of Medicine, School of Medicine, Tulane University, 1441 Canal Street, New Orleans, Louisiana 70112, United States
| | - Liangliang Sun
- Department
of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824, United States
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13
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Huang CF, Kline JT, Negrão F, Robey MT, Toby TK, Durbin KR, Fellers RT, Friedewald JJ, Levitsky J, Abecassis MMI, Melani RD, Kelleher NL, Fornelli L. Targeted Quantification of Proteoforms in Complex Samples by Proteoform Reaction Monitoring. Anal Chem 2024; 96:3578-3586. [PMID: 38354049 PMCID: PMC11008684 DOI: 10.1021/acs.analchem.3c05578] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Existing mass spectrometric assays used for sensitive and specific measurements of target proteins across multiple samples, such as selected/multiple reaction monitoring (SRM/MRM) or parallel reaction monitoring (PRM), are peptide-based methods for bottom-up proteomics. Here, we describe an approach based on the principle of PRM for the measurement of intact proteoforms by targeted top-down proteomics, termed proteoform reaction monitoring (PfRM). We explore the ability of our method to circumvent traditional limitations of top-down proteomics, such as sensitivity and reproducibility. We also introduce a new software program, Proteoform Finder (part of ProSight Native), specifically designed for the easy analysis of PfRM data. PfRM was initially benchmarked by quantifying three standard proteins. The linearity of the assay was shown over almost 3 orders of magnitude in the femtomole range, with limits of detection and quantification in the low femtomolar range. We later applied our multiplexed PfRM assay to complex samples to quantify biomarker candidates in peripheral blood mononuclear cells (PBMCs) from liver-transplanted patients, suggesting their possible translational applications. These results demonstrate that PfRM has the potential to contribute to the accurate quantification of protein biomarkers for diagnostic purposes and to improve our understanding of disease etiology at the proteoform level.
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Affiliation(s)
- Che-Fan Huang
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60208, United States
| | - Jake T Kline
- School of Biological Sciences, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Fernanda Negrão
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60208, United States
| | - Matthew T Robey
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60208, United States
- Proteinaceous, Inc., Evanston, Illinois 60201, United States
| | - Timothy K Toby
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60208, United States
| | - Kenneth R Durbin
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60208, United States
- Proteinaceous, Inc., Evanston, Illinois 60201, United States
| | - Ryan T Fellers
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60208, United States
- Proteinaceous, Inc., Evanston, Illinois 60201, United States
| | - John J Friedewald
- Comprehensive Transplant Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, United States
| | - Josh Levitsky
- Comprehensive Transplant Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, United States
| | - Michael M I Abecassis
- Comprehensive Transplant Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, United States
| | - Rafael D Melani
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60208, United States
| | - Neil L Kelleher
- Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60208, United States
| | - Luca Fornelli
- School of Biological Sciences, University of Oklahoma, Norman, Oklahoma 73019, United States
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
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14
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Marx V. Inside the chase after those elusive proteoforms. Nat Methods 2024; 21:158-163. [PMID: 38308015 DOI: 10.1038/s41592-024-02170-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2024]
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15
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D'Ippolito RA, Scheidemantle GM, Smith BP, Powell K, Eury S, Neish A, Mehalko J, Beaumont L, Fer N, Wall V, Burgan W, Maciag AE, Esposito D, DeHart CJ. FLAG-KRAS4B as a Model System for KRAS4B Proteoform and PTM Evaluation by Mass Spectrometry. Methods Mol Biol 2024; 2797:299-322. [PMID: 38570469 DOI: 10.1007/978-1-0716-3822-4_22] [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: 04/05/2024]
Abstract
Prior analysis of intact and modified protein forms (proteoforms) of KRAS4B isolated from cell lines and tumor samples by top-down mass spectrometry revealed the presence of novel posttranslational modifications (PTMs) and potential evidence of context-specific KRAS4B modifications. However, low endogenous proteoform signal resulted in ineffective characterization, making it difficult to visualize less abundant PTMs or perform follow-up PTM validation using standard proteomic workflows. The NCI RAS Initiative has developed a model system, whereby KRAS4B bearing an N-terminal FLAG tag can be stably expressed within a panel of cancer cell lines. Herein, we present a method for combining immunoprecipitation with complementary proteomic methods to directly analyze N-terminally FLAG-tagged KRAS4B proteoforms and PTMs. We provide detailed protocols for FLAG-KRAS4B purification, proteoform analysis by targeted top-down LC-MS/MS, and validation of abundant PTMs by bottom-up LC-MS/MS with example results.
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Affiliation(s)
- Robert A D'Ippolito
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Grace M Scheidemantle
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Brian P Smith
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Katie Powell
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Scott Eury
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Abigail Neish
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Jennifer Mehalko
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Lauren Beaumont
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Nicole Fer
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Vanessa Wall
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - William Burgan
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Anna E Maciag
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Dominic Esposito
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Caroline J DeHart
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
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16
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D'Ippolito RA, Scheidemantle GM, Rabara D, Abreu Blanco M, Ramakrishnan N, Widmeyer SRT, Messing S, Turner D, Maciag AE, Stephen AG, Esposito D, McCormick F, Nissley DV, DeHart CJ. Determining KRAS4B-Targeting Compound Specificity by Top-Down Mass Spectrometry. Methods Mol Biol 2024; 2823:291-310. [PMID: 39052227 DOI: 10.1007/978-1-0716-3922-1_18] [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: 07/27/2024]
Abstract
We present a novel method to determine engagement and specificity of KRAS4B-targeting compounds in vitro. By employing top-down mass spectrometry (MS), which analyzes intact and modified protein molecules (proteoforms), we can directly visualize and confidently characterize each KRAS4B species within compound-treated samples. Moreover, by employing targeted MS2 fragmentation, we can precisely localize each compound molecule to a specific residue on a given KRAS4B proteoform. This method allows us to comprehensively evaluate compound specificity, clearly detect nonspecific binding events, and determine the order and frequency with which they occur. We provide two proof-of-concept examples of our method employing publicly available compounds, along with detailed protocols for sample preparation, top-down MS data acquisition, targeted proteoform MS2 fragmentation, and analysis of the resulting data. Our results demonstrate the concentration dependence of KRAS4B-compound engagement and highlight the ability of top-down MS to directly map compound binding location(s) without disrupting the KRAS4B primary structure. Our hope is that this novel method may help accelerate the identification of new successful targeted inhibitors for KRAS4B and other RAS isoforms.
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Affiliation(s)
- Robert A D'Ippolito
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Grace M Scheidemantle
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Dana Rabara
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Maria Abreu Blanco
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Nitya Ramakrishnan
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Stephanie R T Widmeyer
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Simon Messing
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - David Turner
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Anna E Maciag
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Andrew G Stephen
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Dominic Esposito
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Frank McCormick
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Dwight V Nissley
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Caroline J DeHart
- NCI RAS Initiative, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
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17
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Po A, Eyers CE. Top-Down Proteomics and the Challenges of True Proteoform Characterization. J Proteome Res 2023; 22:3663-3675. [PMID: 37937372 PMCID: PMC10696603 DOI: 10.1021/acs.jproteome.3c00416] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/09/2023] [Accepted: 10/20/2023] [Indexed: 11/09/2023]
Abstract
Top-down proteomics (TDP) aims to identify and profile intact protein forms (proteoforms) extracted from biological samples. True proteoform characterization requires that both the base protein sequence be defined and any mass shifts identified, ideally localizing their positions within the protein sequence. Being able to fully elucidate proteoform profiles lends insight into characterizing proteoform-unique roles, and is a crucial aspect of defining protein structure-function relationships and the specific roles of different (combinations of) protein modifications. However, defining and pinpointing protein post-translational modifications (PTMs) on intact proteins remains a challenge. Characterization of (heavily) modified proteins (>∼30 kDa) remains problematic, especially when they exist in a population of similarly modified, or kindred, proteoforms. This issue is compounded as the number of modifications increases, and thus the number of theoretical combinations. Here, we present our perspective on the challenges of analyzing kindred proteoform populations, focusing on annotation of protein modifications on an "average" protein. Furthermore, we discuss the technical requirements to obtain high quality fragmentation spectral data to robustly define site-specific PTMs, and the fact that this is tempered by the time requirements necessary to separate proteoforms in advance of mass spectrometry analysis.
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Affiliation(s)
- Allen Po
- Centre
for Proteome Research, Faculty of Health & Life Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, Faculty of Health & Life
Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
| | - Claire E. Eyers
- Centre
for Proteome Research, Faculty of Health & Life Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
- Department
of Biochemistry, Cell & Systems Biology, Institute of Systems,
Molecular & Integrative Biology, Faculty of Health & Life
Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
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18
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Huang CF, Su P, Fisher TD, Levitsky J, Kelleher NL, Forte E. Mass spectrometry-based proteomics for advancing solid organ transplantation research. FRONTIERS IN TRANSPLANTATION 2023; 2:1286881. [PMID: 38993855 PMCID: PMC11235370 DOI: 10.3389/frtra.2023.1286881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/13/2023] [Indexed: 07/13/2024]
Abstract
Scarcity of high-quality organs, suboptimal organ quality assessment, unsatisfactory pre-implantation procedures, and poor long-term organ and patient survival are the main challenges currently faced by the solid organ transplant (SOT) field. New biomarkers for assessing graft quality pre-implantation, detecting, and predicting graft injury, rejection, dysfunction, and survival are critical to provide clinicians with invaluable prediction tools and guidance for personalized patients' treatment. Additionally, new therapeutic targets are also needed to reduce injury and rejection and improve transplant outcomes. Proteins, which underlie phenotypes, are ideal candidate biomarkers of health and disease statuses and therapeutic targets. A protein can exist in different molecular forms, called proteoforms. As the function of a protein depends on its exact composition, proteoforms can offer a more accurate basis for connection to complex phenotypes than protein from which they derive. Mass spectrometry-based proteomics has been largely used in SOT research for identification of candidate biomarkers and therapeutic intervention targets by so-called "bottom-up" proteomics (BUP). However, such BUP approaches analyze small peptides in lieu of intact proteins and provide incomplete information on the exact molecular composition of the proteins of interest. In contrast, "Top-down" proteomics (TDP), which analyze intact proteins retaining proteoform-level information, have been only recently adopted in transplantation studies and already led to the identification of promising proteoforms as biomarkers for organ rejection and dysfunction. We anticipate that the use of top-down strategies in combination with new technological advancements in single-cell and spatial proteomics could drive future breakthroughs in biomarker and therapeutic target discovery in SOT.
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Affiliation(s)
- Che-Fan Huang
- Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States
| | - Pei Su
- Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States
- Department of Chemistry, Northwestern University, Evanston, IL, United States
| | - Troy D. Fisher
- Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States
| | - Josh Levitsky
- Division of Gastroenterology and Hepatology, Comprehensive Transplant Center Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Neil L. Kelleher
- Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States
- Department of Chemistry, Northwestern University, Evanston, IL, United States
- Department of Biochemistry and Molecular Genetics, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Department of Surgery, Feinberg School of Medicine, Comprehensive Transplant Center, Northwestern University, Chicago, IL, United States
| | - Eleonora Forte
- Proteomics Center of Excellence, Northwestern University, Evanston, IL, United States
- Department of Surgery, Feinberg School of Medicine, Comprehensive Transplant Center, Northwestern University, Chicago, IL, United States
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19
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Leonard B, Danna V, Gorham L, Davison M, Chrisler W, Kim DN, Gerbasi VR. Shaping Nanobodies and Intrabodies against Proteoforms. Anal Chem 2023; 95:8747-8751. [PMID: 37235478 PMCID: PMC10269583 DOI: 10.1021/acs.analchem.3c00958] [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: 03/03/2023] [Accepted: 05/23/2023] [Indexed: 05/28/2023]
Abstract
Proteoforms expand genomic diversity and direct developmental processes. While high-resolution mass spectrometry has accelerated characterization of proteoforms, molecular techniques working to bind and disrupt the function of specific proteoforms have lagged behind. In this study, we worked to develop intrabodies capable of binding specific proteoforms. We employed a synthetic camelid nanobody library expressed in yeast to identify nanobody binders of different SARS-CoV-2 receptor binding domain (RBD) proteoforms. Importantly, employment of the positive and negative selection mechanisms inherent to the synthetic system allowed for amplification of nanobody-expressing yeast that bind to the original (Wuhan strain RBD) but not the E484 K (Beta variant) mutation. Nanobodies raised against specific RBD proteoforms were validated by yeast-2-hybrid analysis and sequence comparisons. These results provide a framework for development of nanobodies and intrabodies that target proteoforms.
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Affiliation(s)
- Bojana Leonard
- Pacific
Northwest National Laboratory, Richland, Washington 99354, United States
| | - Vincent Danna
- Pacific
Northwest National Laboratory, Richland, Washington 99354, United States
| | - Leo Gorham
- Pacific
Northwest National Laboratory, Richland, Washington 99354, United States
| | - Michelle Davison
- Pacific
Northwest National Laboratory, Richland, Washington 99354, United States
| | - William Chrisler
- Pacific
Northwest National Laboratory, Richland, Washington 99354, United States
| | - Doo Nam Kim
- Pacific
Northwest National Laboratory, Richland, Washington 99354, United States
| | - Vincent R. Gerbasi
- Pacific
Northwest National Laboratory, Richland, Washington 99354, United States
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