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Naryzhny S. Puzzle of Proteoform Variety-Where Is a Key? Proteomes 2024; 12:15. [PMID: 38804277 PMCID: PMC11130821 DOI: 10.3390/proteomes12020015] [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: 01/31/2024] [Revised: 05/03/2024] [Accepted: 05/06/2024] [Indexed: 05/29/2024] Open
Abstract
One of the human proteome puzzles is an imbalance between the theoretically calculated and experimentally measured amounts of proteoforms. Considering the possibility of combinations of different post-translational modifications (PTMs), the quantity of possible proteoforms is huge. An estimation gives more than a million different proteoforms in each cell type. But, it seems that there is strict control over the production and maintenance of PTMs. Although the potential complexity of proteoforms due to PTMs is tremendous, available information indicates that only a small part of it is being implemented. As a result, a protein could have many proteoforms according to the number of modification sites, but because of different systems of personal regulation, the profile of PTMs for a given protein in each organism is slightly different.
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Affiliation(s)
- Stanislav Naryzhny
- B. P. Konstantinov Petersburg Nuclear Physics Institute, National Research Center "Kurchatov Institute", Leningrad Region, Gatchina 188300, Russia
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Proteomics-Based Identification of Dysregulated Proteins in Breast Cancer. Proteomes 2022; 10:proteomes10040035. [PMID: 36278695 PMCID: PMC9590004 DOI: 10.3390/proteomes10040035] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/10/2022] [Accepted: 10/18/2022] [Indexed: 11/18/2022] Open
Abstract
Immunohistochemistry (IHC) is still widely used as a morphology-based assay for in situ analysis of target proteins as specific tumor antigens. However, as a very heterogeneous collection of neoplastic diseases, breast cancer (BC) requires an accurate identification and characterization of larger panels of candidate biomarkers, beyond ER, PR, and HER2 proteins, for diagnosis and personalized treatment, without the limited availability of antibodies that are required to identify specific proteins. Top-down, middle-down, and bottom-up mass spectrometry (MS)-based proteomics approaches complement traditional histopathological tissue analysis to examine expression, modification, and interaction of hundreds to thousands of proteins simultaneously. In this review, we discuss the proteomics-based identification of dysregulated proteins in BC that are essential for the following issues: discovery and validation of new biomarkers by analysis of solid and liquid/non-invasive biopsies, cell lines, organoids and xenograft models; identification of panels of biomarkers for early detection and accurate discrimination between cancer, benign and normal tissues; identification of subtype-specific and stage-specific protein expression profiles in BC grading and measurement of disease progression; characterization of new subtypes of BC; characterization and quantitation of post-translational modifications (PTMs) and aberrant protein-protein interactions (PPI) involved in tumor development; characterization of the global remodeling of BC tissue homeostasis, diagnosis and prognostic information; and deciphering of molecular functions, biological processes and mechanisms through which the dysregulated proteins cause tumor initiation, invasion, and treatment resistance.
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Naryzhny S, Ronzhina N, Zorina E, Kabachenko F, Klopov N, Zgoda V. Construction of 2DE Patterns of Plasma Proteins: Aspect of Potential Tumor Markers. Int J Mol Sci 2022; 23:ijms231911113. [PMID: 36232415 PMCID: PMC9569744 DOI: 10.3390/ijms231911113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/16/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022] Open
Abstract
The use of tumor markers aids in the early detection of cancer recurrence and prognosis. There is a hope that they might also be useful in screening tests for the early detection of cancer. Here, the question of finding ideal tumor markers, which should be sensitive, specific, and reliable, is an acute issue. Human plasma is one of the most popular samples as it is commonly collected in the clinic and provides noninvasive, rapid analysis for any type of disease including cancer. Many efforts have been applied in searching for “ideal” tumor markers, digging very deep into plasma proteomes. The situation in this area can be improved in two ways—by attempting to find an ideal single tumor marker or by generating panels of different markers. In both cases, proteomics certainly plays a major role. There is a line of evidence that the most abundant, so-called “classical plasma proteins”, may be used to generate a tumor biomarker profile. To be comprehensive these profiles should have information not only about protein levels but also proteoform distribution for each protein. Initially, the profile of these proteins in norm should be generated. In our work, we collected bibliographic information about the connection of cancers with levels of “classical plasma proteins”. Additionally, we presented the proteoform profiles (2DE patterns) of these proteins in norm generated by two-dimensional electrophoresis with mass spectrometry and immunodetection. As a next step, similar profiles representing protein perturbations in plasma produced in the case of different cancers will be generated. Additionally, based on this information, different test systems can be developed.
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Affiliation(s)
- Stanislav Naryzhny
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia
- Petersburg Institute of Nuclear Physics (PNPI) of National Research Center “Kurchatov Institute”, 188300 Gatchina, Russia
- Correspondence: ; Tel.: +7-911-176-4453
| | - Natalia Ronzhina
- Petersburg Institute of Nuclear Physics (PNPI) of National Research Center “Kurchatov Institute”, 188300 Gatchina, Russia
| | - Elena Zorina
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia
| | - Fedor Kabachenko
- Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Nikolay Klopov
- Petersburg Institute of Nuclear Physics (PNPI) of National Research Center “Kurchatov Institute”, 188300 Gatchina, Russia
| | - Victor Zgoda
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia
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Kwiatkowski M, Hotze M, Schumacher J, Asif AR, Pittol JMR, Brenig B, Ramljak S, Zischler H, Herlyn H. Protein speciation is likely to increase the chance of proteins to be determined in 2‐DE/MS. Electrophoresis 2022; 43:1203-1214. [DOI: 10.1002/elps.202000393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 11/30/2021] [Accepted: 02/02/2022] [Indexed: 11/08/2022]
Affiliation(s)
- Marcel Kwiatkowski
- Department of Biochemistry and Center for Molecular Biosciences Innsbruck University of Innsbruck Innsbruck Austria
| | - Madlen Hotze
- Department of Biochemistry and Center for Molecular Biosciences Innsbruck University of Innsbruck Innsbruck Austria
| | | | - Abdul R. Asif
- Department of Clinical Chemistry/UMG‐Laboratories University Medical Center Göttingen Germany
| | - Jose Miguel Ramos Pittol
- Department of Biochemistry and Center for Molecular Biosciences Innsbruck University of Innsbruck Innsbruck Austria
| | - Bertram Brenig
- Department of Molecular Biology of Livestock Institute of Veterinary Medicine University of Göttingen Göttingen Germany
| | | | - Hans Zischler
- Institute of Organismic and Molecular Evolution, Anthropology University of Mainz Mainz Germany
| | - Holger Herlyn
- Institute of Organismic and Molecular Evolution, Anthropology University of Mainz Mainz Germany
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Carbonara K, Andonovski M, Coorssen JR. Proteomes Are of Proteoforms: Embracing the Complexity. Proteomes 2021; 9:38. [PMID: 34564541 PMCID: PMC8482110 DOI: 10.3390/proteomes9030038] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 08/24/2021] [Accepted: 08/29/2021] [Indexed: 12/17/2022] Open
Abstract
Proteomes are complex-much more so than genomes or transcriptomes. Thus, simplifying their analysis does not simplify the issue. Proteomes are of proteoforms, not canonical proteins. While having a catalogue of amino acid sequences provides invaluable information, this is the Proteome-lite. To dissect biological mechanisms and identify critical biomarkers/drug targets, we must assess the myriad of proteoforms that arise at any point before, after, and between translation and transcription (e.g., isoforms, splice variants, and post-translational modifications [PTM]), as well as newly defined species. There are numerous analytical methods currently used to address proteome depth and here we critically evaluate these in terms of the current 'state-of-the-field'. We thus discuss both pros and cons of available approaches and where improvements or refinements are needed to quantitatively characterize proteomes. To enable a next-generation approach, we suggest that advances lie in transdisciplinarity via integration of current proteomic methods to yield a unified discipline that capitalizes on the strongest qualities of each. Such a necessary (if not revolutionary) shift cannot be accomplished by a continued primary focus on proteo-genomics/-transcriptomics. We must embrace the complexity. Yes, these are the hard questions, and this will not be easy…but where is the fun in easy?
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Affiliation(s)
| | | | - Jens R. Coorssen
- Faculties of Applied Health Sciences and Mathematics & Science, Departments of Health Sciences and Biological Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, Canada; (K.C.); (M.A.)
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Naryzhny S, Volnitskiy A, Kopylov A, Zorina E, Kamyshinsky R, Bairamukov V, Garaeva L, Shlikht A, Shtam T. Proteome of Glioblastoma-Derived Exosomes as a Source of Biomarkers. Biomedicines 2020; 8:E216. [PMID: 32708613 PMCID: PMC7399833 DOI: 10.3390/biomedicines8070216] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 07/08/2020] [Accepted: 07/13/2020] [Indexed: 01/18/2023] Open
Abstract
Extracellular vesicles (EV) are involved in important processes of glioblastoma multiforme (GBM), including malignancy and invasion. EV secreted by glioblastoma cells may cross the hematoencephalic barrier and carry molecular cargo derived from the tumor into the peripheral circulation. Therefore, the determination of the molecular composition of exosomes released by glioblastoma cells seems to be a promising approach for the development of non-invasive methods of the detection of the specific exosomal protein markers in the peripheral blood. The present study aimed to determine the common exosomal proteins presented in preparations from different cell lines and search potential glioblastoma biomarkers in exosomes. We have performed proteomics analysis of exosomes obtained from the conditioned culture medium of five glioblastoma cell lines. A list of 133 proteins common for all these samples was generated. Based on the data obtained, virtual two-dimensional electrophoresis (2DE) maps of proteins presented in exosomes of glioblastoma cells were constructed and the gene ontology (GO) analysis of exosome proteins was performed. A correlation between overexpressed in glial cell proteins and their presence in exosomes have been found. Thus, the existence of many potential glioblastoma biomarkers in exosomes was confirmed.
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Affiliation(s)
- Stanislav Naryzhny
- Orekhovich Institute of Biomedical Chemistry of Russian Academy of Medical Sciences Pogodinskaya 10, 119121 Moscow, Russia; (A.K.); (E.Z.)
- Petersburg Nuclear Physics Institute NRC «Kurchatov Institute», Orlova Roshcha 1, 188300 Gatchina, Russia; (A.V.); (V.B.); (L.G.)
| | - Andrey Volnitskiy
- Petersburg Nuclear Physics Institute NRC «Kurchatov Institute», Orlova Roshcha 1, 188300 Gatchina, Russia; (A.V.); (V.B.); (L.G.)
- National Research Center “Kurchatov Institute”, Akademika Kurchatova pl. 1, 123182 Moscow, Russia;
| | - Arthur Kopylov
- Orekhovich Institute of Biomedical Chemistry of Russian Academy of Medical Sciences Pogodinskaya 10, 119121 Moscow, Russia; (A.K.); (E.Z.)
| | - Elena Zorina
- Orekhovich Institute of Biomedical Chemistry of Russian Academy of Medical Sciences Pogodinskaya 10, 119121 Moscow, Russia; (A.K.); (E.Z.)
| | - Roman Kamyshinsky
- National Research Center “Kurchatov Institute”, Akademika Kurchatova pl. 1, 123182 Moscow, Russia;
- Shubnikov Institute of Crystallography of Federal Scientific Research Centre ’Crystallography and Photonics” of Russian Academy of Sciences, Leninskiy Prospect 59, 119333 Moscow, Russia
- Moscow Institute of Physics and Technology, Institutsky Lane 9, Dolgoprudny, 141700 Moscow, Russia
| | - Viktor Bairamukov
- Petersburg Nuclear Physics Institute NRC «Kurchatov Institute», Orlova Roshcha 1, 188300 Gatchina, Russia; (A.V.); (V.B.); (L.G.)
| | - Luiza Garaeva
- Petersburg Nuclear Physics Institute NRC «Kurchatov Institute», Orlova Roshcha 1, 188300 Gatchina, Russia; (A.V.); (V.B.); (L.G.)
- National Research Center “Kurchatov Institute”, Akademika Kurchatova pl. 1, 123182 Moscow, Russia;
- Peter the Great Saint-Petersburg Polytechnic University, Politehnicheskaya 29, 19525 St. Petersburg, Russia
| | - Anatoly Shlikht
- Far Eastern Federal University, Sukhanova 8, 690091 Vladivostok, Russia;
| | - Tatiana Shtam
- Petersburg Nuclear Physics Institute NRC «Kurchatov Institute», Orlova Roshcha 1, 188300 Gatchina, Russia; (A.V.); (V.B.); (L.G.)
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