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Crawford AJ, Forjaz A, Bons J, Bhorkar I, Roy T, Schell D, Queiroga V, Ren K, Kramer D, Huang W, Russo GC, Lee MH, Wu PH, Shih IM, Wang TL, Atkinson MA, Schilling B, Kiemen AL, Wirtz D. Combined assembloid modeling and 3D whole-organ mapping captures the microanatomy and function of the human fallopian tube. SCIENCE ADVANCES 2024; 10:eadp6285. [PMID: 39331707 PMCID: PMC11430475 DOI: 10.1126/sciadv.adp6285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 08/22/2024] [Indexed: 09/29/2024]
Abstract
The fallopian tubes play key roles in processes from pregnancy to ovarian cancer where three-dimensional (3D) cellular and extracellular interactions are important to their pathophysiology. Here, we develop a 3D multicompartment assembloid model of the fallopian tube that molecularly, functionally, and architecturally resembles the organ. Global label-free proteomics, innovative assays capturing physiological functions of the fallopian tube (i.e., oocyte transport), and whole-organ single-cell resolution mapping are used to validate these assembloids through a multifaceted platform with direct comparisons to fallopian tube tissue. These techniques converge at a unique combination of assembloid parameters with the highest similarity to the reference fallopian tube. This work establishes (i) an optimized model of the human fallopian tubes for in vitro studies of their pathophysiology and (ii) an iterative platform for customized 3D in vitro models of human organs that are molecularly, functionally, and microanatomically accurate by combining tunable assembloid and tissue mapping methods.
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Affiliation(s)
- Ashleigh J Crawford
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - André Forjaz
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Joanna Bons
- Buck Institute for Research on Aging, Novato, CA 94945, USA
| | - Isha Bhorkar
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Triya Roy
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - David Schell
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Vasco Queiroga
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Kehan Ren
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Donald Kramer
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biotechnology, Johns Hopkins Advanced Academic Programs, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Wilson Huang
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biology, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Gabriella C Russo
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Meng-Horng Lee
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Pei-Hsun Wu
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Ie-Ming Shih
- Department of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Tian-Li Wang
- Department of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Mark A Atkinson
- Departments of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL 32610, USA
- Departments of Pediatrics, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL 32610, USA
| | | | - Ashley L Kiemen
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Functional Anatomy and Evolution, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Denis Wirtz
- Johns Hopkins Institute for Nanobiotechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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Al-Husinat L, Azzam S, Al Sharie S, Al Sharie AH, Battaglini D, Robba C, Marini JJ, Thornton LT, Cruz FF, Silva PL, Rocco PRM. Effects of mechanical ventilation on the interstitial extracellular matrix in healthy lungs and lungs affected by acute respiratory distress syndrome: a narrative review. Crit Care 2024; 28:165. [PMID: 38750543 PMCID: PMC11094887 DOI: 10.1186/s13054-024-04942-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/06/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Mechanical ventilation, a lifesaving intervention in critical care, can lead to damage in the extracellular matrix (ECM), triggering inflammation and ventilator-induced lung injury (VILI), particularly in conditions such as acute respiratory distress syndrome (ARDS). This review discusses the detailed structure of the ECM in healthy and ARDS-affected lungs under mechanical ventilation, aiming to bridge the gap between experimental insights and clinical practice by offering a thorough understanding of lung ECM organization and the dynamics of its alteration during mechanical ventilation. MAIN TEXT Focusing on the clinical implications, we explore the potential of precise interventions targeting the ECM and cellular signaling pathways to mitigate lung damage, reduce inflammation, and ultimately improve outcomes for critically ill patients. By analyzing a range of experimental studies and clinical papers, particular attention is paid to the roles of matrix metalloproteinases (MMPs), integrins, and other molecules in ECM damage and VILI. This synthesis not only sheds light on the structural changes induced by mechanical stress but also underscores the importance of cellular responses such as inflammation, fibrosis, and excessive activation of MMPs. CONCLUSIONS This review emphasizes the significance of mechanical cues transduced by integrins and their impact on cellular behavior during ventilation, offering insights into the complex interactions between mechanical ventilation, ECM damage, and cellular signaling. By understanding these mechanisms, healthcare professionals in critical care can anticipate the consequences of mechanical ventilation and use targeted strategies to prevent or minimize ECM damage, ultimately leading to better patient management and outcomes in critical care settings.
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Affiliation(s)
- Lou'i Al-Husinat
- Department of Clinical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan
| | - Saif Azzam
- Faculty of Medicine, Yarmouk University, Irbid, Jordan
| | | | - Ahmed H Al Sharie
- Department of Pathology and Microbiology, Jordan University of Science and Technology, Irbid, Jordan
| | - Denise Battaglini
- Anesthesia and Intensive Care, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Chiara Robba
- Anesthesia and Intensive Care, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Dipartimento di Scienze Chirurgiche e Diagnostiche, Università Degli Studi di Genova, Genoa, Italy
| | - John J Marini
- Department of Pulmonary and Critical Care Medicine, University of Minnesota, Minneapolis, St Paul, MN, USA
| | - Lauren T Thornton
- Department of Pulmonary and Critical Care Medicine, University of Minnesota, Minneapolis, St Paul, MN, USA
| | - Fernanda F Cruz
- Laboratory of Pulmonary Investigation, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pedro L Silva
- Laboratory of Pulmonary Investigation, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Patricia R M Rocco
- Laboratory of Pulmonary Investigation, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
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Burton JB, Silva-Barbosa A, Bons J, Rose J, Pfister K, Simona F, Gandhi T, Reiter L, Bernhardt O, Hunter CL, Goetzman ES, Sims-Lucas S, Schilling B. Substantial downregulation of mitochondrial and peroxisomal proteins during acute kidney injury revealed by data-independent acquisition proteomics. Proteomics 2024; 24:e2300162. [PMID: 37775337 DOI: 10.1002/pmic.202300162] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 08/17/2023] [Accepted: 08/22/2023] [Indexed: 10/01/2023]
Abstract
Acute kidney injury (AKI) manifests as a major health concern, particularly for the elderly. Understanding AKI-related proteome changes is critical for prevention and development of novel therapeutics to recover kidney function and to mitigate the susceptibility for recurrent AKI or development of chronic kidney disease. In this study, mouse kidneys were subjected to ischemia-reperfusion injury, and the contralateral kidneys remained uninjured to enable comparison and assess injury-induced changes in the kidney proteome. A ZenoTOF 7600 mass spectrometer was optimized for data-independent acquisition (DIA) to achieve comprehensive protein identification and quantification. Short microflow gradients and the generation of a deep kidney-specific spectral library allowed for high-throughput, comprehensive protein quantification. Upon AKI, the kidney proteome was completely remodeled, and over half of the 3945 quantified protein groups changed significantly. Downregulated proteins in the injured kidney were involved in energy production, including numerous peroxisomal matrix proteins that function in fatty acid oxidation, such as ACOX1, CAT, EHHADH, ACOT4, ACOT8, and Scp2. Injured kidneys exhibited severely damaged tissues and injury markers. The comprehensive and sensitive kidney-specific DIA-MS assays feature high-throughput analytical capabilities to achieve deep coverage of the kidney proteome, and will serve as useful tools for developing novel therapeutics to remediate kidney function.
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Affiliation(s)
- Jordan B Burton
- Buck Institute for Research on Aging, Novato, California, USA
| | - Anne Silva-Barbosa
- Department of Pediatrics, School of Medicine, Medical Center Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Joanna Bons
- Buck Institute for Research on Aging, Novato, California, USA
| | - Jacob Rose
- Buck Institute for Research on Aging, Novato, California, USA
| | - Katherine Pfister
- Department of Pediatrics, School of Medicine, Medical Center Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | | | | | | | | | - Eric S Goetzman
- Department of Pediatrics, School of Medicine, Medical Center Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Sunder Sims-Lucas
- Department of Pediatrics, School of Medicine, Medical Center Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Major G, Simcock J, Kumar A, Kleffmann T, Woodfield TBF, Lim KS. Comprehensive Matrisome Profiling of Human Adipose Tissue for Soft Tissue Reconstruction. Adv Biol (Weinh) 2024; 8:e2300448. [PMID: 37953659 DOI: 10.1002/adbi.202300448] [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: 08/25/2023] [Revised: 10/14/2023] [Indexed: 11/14/2023]
Abstract
For effective translation of research from tissue engineering and regenerative medicine domains, the cell-instructive extracellular matrix (ECM) of specific tissues must be accurately realized. As adipose tissue is gaining traction as a biomaterial for soft tissue reconstruction, with highly variable clinical outcomes obtained, a quantitative investigation of the adipose tissue matrisome is overdue. In this study, the human adipose tissue matrisome is profiled using quantitative sequential windowed acquisition of all theoretical fragment ion spectra - mass spectrometry (SWATH-MS) proteomics across a cohort of 13 fat-grafting patients, to provide characterization of ECM proteins within the tissue, and to understand human population variation. There are considerable differences in the expression of matrisome proteins across the patient cohort, with age and lipoaspirate collection technique contributing to the greatest variation across the core matrisome. A high abundance of basement membrane proteins (collagen IV and heparan sulfate proteoglycan) is detected, as well as fibrillar collagens I and II, reflecting the hierarchical structure of the tissue. This study provides a comprehensive proteomic evaluation of the adipose tissue matrisome and contributes to an enhanced understanding of the influence of the matrisome in adipose-related pathologies by providing a healthy reference cohort and details an experimental pipeline that can be further exploited for future biomaterial development.
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Affiliation(s)
- Gretel Major
- Department of Orthopaedic Surgery and Musculoskeletal Medicine, Centre for Bioengineering & Nanomedicine, University of Otago, Christchurch, 8011, New Zealand
| | - Jeremy Simcock
- Department of Surgery, University of Otago, Christchurch, 8011, New Zealand
| | - Abhishek Kumar
- Centre for Protein Research, Research Infrastructure Centre, University of Otago, Dunedin, 9054, New Zealand
| | - Torsten Kleffmann
- Centre for Protein Research, Research Infrastructure Centre, University of Otago, Dunedin, 9054, New Zealand
| | - Tim B F Woodfield
- Department of Orthopaedic Surgery and Musculoskeletal Medicine, Centre for Bioengineering & Nanomedicine, University of Otago, Christchurch, 8011, New Zealand
| | - Khoon S Lim
- Department of Orthopaedic Surgery and Musculoskeletal Medicine, Centre for Bioengineering & Nanomedicine, University of Otago, Christchurch, 8011, New Zealand
- Light-Activated Biomaterials Group, School of Medical Science, University of Sydney, Sydney, NSW, 2006, Australia
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Moutin EB, Bons J, Giavara G, Lourenco F, Pan D, Burton JB, Shah S, Colombé M, Gascard P, Tlsty T, Schilling B, Winton DJ. Extracellular Matrix Orchestration of Tissue Remodeling in the Chronically Inflamed Mouse Colon. Cell Mol Gastroenterol Hepatol 2024; 17:639-656. [PMID: 38199279 PMCID: PMC10905044 DOI: 10.1016/j.jcmgh.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 01/04/2024] [Accepted: 01/04/2024] [Indexed: 01/12/2024]
Abstract
BACKGROUND & AIMS Chronic inflammatory illnesses are debilitating and recurrent conditions associated with significant comorbidities, including an increased risk of developing cancer. Extensive tissue remodeling is a hallmark of such illnesses, and is both a consequence and a mediator of disease progression. Despite previous characterization of epithelial and stromal remodeling during inflammatory bowel disease, a complete understanding of its impact on disease progression is lacking. METHODS A comprehensive proteomic pipeline using data-independent acquisition was applied to decellularized colon samples from the Muc2 knockout (Muc2KO) mouse model of colitis for an in-depth characterization of extracellular matrix remodeling. Unique proteomic profiles of the matrisomal landscape were extracted from prepathologic and overt colitis. Integration of proteomics and transcriptomics data sets extracted from the same murine model produced network maps describing the orchestrating role of matrisomal proteins in tissue remodeling during the progression of colitis. RESULTS The in-depth proteomic workflow used here allowed the addition of 34 proteins to the known colon matrisomal signature. Protein signatures of prepathologic and pathologic colitic states were extracted, differentiating the 2 states by expression of small leucine-rich proteoglycans. We outlined the role of this class and other matrisomal proteins in tissue remodeling during colitis, as well as the potential for coordinated regulation of cell types by matrisomal ligands. CONCLUSIONS Our work highlights a central role for matrisomal proteins in tissue remodeling during colitis and defines orchestrating nodes that can be exploited in the selection of therapeutic targets.
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Affiliation(s)
- Elisa B Moutin
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Joanna Bons
- Buck Institute for Research on Aging, Novato, California
| | - Giada Giavara
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Filipe Lourenco
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Deng Pan
- Department of Pathology, University of California, San Francisco, California
| | | | - Samah Shah
- Buck Institute for Research on Aging, Novato, California
| | - Mathilde Colombé
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom
| | - Philippe Gascard
- Department of Pathology, University of California, San Francisco, California
| | - Thea Tlsty
- Department of Pathology, University of California, San Francisco, California
| | | | - Douglas J Winton
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom.
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Morais MRPT, Tian P, O'cualain R, Lawless C, Lennon R. Protocol to characterize basement membranes during kidney development using mass spectrometry-based label-free quantitative proteomics. STAR Protoc 2023; 4:102741. [PMID: 38039136 PMCID: PMC10722381 DOI: 10.1016/j.xpro.2023.102741] [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: 07/07/2023] [Revised: 10/06/2023] [Accepted: 11/09/2023] [Indexed: 12/03/2023] Open
Abstract
Basement membranes are specialized extracellular matrices formed by highly insoluble structural proteins and extracellular matrix (ECM)-bound components that provide structural and signaling support to tissues and are dynamic during development. Here, we present a mass spectrometry-based label-free quantitative proteomics protocol to investigate basement membranes and define their composition using samples from human kidney organoids and mouse fetal kidneys. This protocol facilitates the study of basement membrane and other ECM components during development to improve our understanding of matrix regulation and function. For complete details on the use and execution of this protocol, please refer to Morais et al.1.
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Affiliation(s)
- Mychel R P T Morais
- Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester M13 9PT, UK
| | - Pinyuan Tian
- Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester M13 9PT, UK.
| | - Ronan O'cualain
- Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester M13 9PT, UK
| | - Craig Lawless
- Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester M13 9PT, UK
| | - Rachel Lennon
- Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester M13 9PT, UK; Department of Paediatric Nephrology, Royal Manchester Children's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WL, UK.
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Naba A. 10 years of extracellular matrix proteomics: Accomplishments, challenges, and future perspectives. Mol Cell Proteomics 2023; 22:100528. [PMID: 36918099 PMCID: PMC10152135 DOI: 10.1016/j.mcpro.2023.100528] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/03/2023] [Accepted: 03/06/2023] [Indexed: 03/13/2023] Open
Abstract
The extracellular matrix (ECM) is a complex assembly of hundreds of proteins forming the architectural scaffold of multicellular organisms. In addition to its structural role, the ECM conveys signals orchestrating cellular phenotypes. Alterations of ECM composition, abundance, structure, or mechanics, have been linked to diseases and disorders affecting all physiological systems, including fibrosis and cancer. Deciphering the protein composition of the ECM and how it changes in pathophysiological contexts is thus the first step toward understanding the roles of the ECM in health and disease and toward the development of therapeutic strategies to correct disease-causing ECM alterations. Potentially, the ECM also represents a vast, yet untapped reservoir of disease biomarkers. ECM proteins are characterized by unique biochemical properties that have hindered their study: they are large, heavily and uniquely post-translationally modified, and highly insoluble. Overcoming these challenges, we and others have devised mass-spectrometry-based proteomic approaches to define the ECM composition, or "matrisome", of tissues. This review provides a historical overview of ECM proteomics research and presents the latest advances that now allow the profiling of the ECM of healthy and diseased tissues. The second part highlights recent examples illustrating how ECM proteomics has emerged as a powerful discovery pipeline to identify prognostic cancer biomarkers. The third part discusses remaining challenges limiting our ability to translate findings to clinical application and proposes approaches to overcome them. Last, the review introduces readers to resources available to facilitate the interpretation of ECM proteomics datasets. The ECM was once thought to be impenetrable. MS-based proteomics has proven to be a powerful tool to decode the ECM. In light of the progress made over the past decade, there are reasons to believe that the in-depth exploration of the matrisome is within reach and that we may soon witness the first translational application of ECM proteomics.
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Affiliation(s)
- Alexandra Naba
- Department of Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL 60612, USA; University of Illinois Cancer Center, Chicago, IL 60612, USA.
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Burton JB, Silva-Barbosa A, Bons J, Rose J, Pfister K, Simona F, Gandhi T, Reiter L, Bernhardt O, Hunter CL, Goetzman ES, Sims-Lucas S, Schilling B. Substantial Downregulation of Mitochondrial and Peroxisomal Proteins during Acute Kidney Injury revealed by Data-Independent Acquisition Proteomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.26.530107. [PMID: 36865241 PMCID: PMC9980295 DOI: 10.1101/2023.02.26.530107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Acute kidney injury (AKI) manifests as a major health concern, particularly for the elderly. Understanding AKI-related proteome changes is critical for prevention and development of novel therapeutics to recover kidney function and to mitigate the susceptibility for recurrent AKI or development of chronic kidney disease. In this study, mouse kidneys were subjected to ischemia-reperfusion injury, and the contralateral kidneys remained uninjured to enable comparison and assess injury-induced changes in the kidney proteome. A fast-acquisition rate ZenoTOF 7600 mass spectrometer was introduced for data-independent acquisition (DIA) for comprehensive protein identification and quantification. Short microflow gradients and the generation of a deep kidney-specific spectral library allowed for high-throughput, comprehensive protein quantification. Upon AKI, the kidney proteome was completely remodeled, and over half of the 3,945 quantified protein groups changed significantly. Downregulated proteins in the injured kidney were involved in energy production, including numerous peroxisomal matrix proteins that function in fatty acid oxidation, such as ACOX1, CAT, EHHADH, ACOT4, ACOT8, and Scp2. Injured mice exhibited severely declined health. The comprehensive and sensitive kidney-specific DIA assays highlighted here feature high-throughput analytical capabilities to achieve deep coverage of the kidney proteome and will serve as useful tools for developing novel therapeutics to remediate kidney function.
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