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Fröhlich K, Fahrner M, Brombacher E, Seredynska A, Maldacker M, Kreutz C, Schmidt A, Schilling O. Data-independent acquisition: A milestone and prospect in clinical mass spectrometry-based proteomics. Mol Cell Proteomics 2024:100800. [PMID: 38880244 DOI: 10.1016/j.mcpro.2024.100800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 06/08/2024] [Accepted: 06/13/2024] [Indexed: 06/18/2024] Open
Abstract
Data-independent acquisition (DIA) has revolutionized the field of mass spectrometry (MS)-based proteomics over the past few years. DIA stands out for its ability to systematically sample all peptides in a given mass-to-charge range, allowing an unbiased acquisition of proteomics data. This greatly mitigates the issue of missing values and significantly enhances quantitative accuracy, precision, and reproducibility compared to many traditional methods. This review focuses on the critical role of DIA analysis software tools, primarily focusing on their capabilities and the challenges they address in proteomic research. Advances in MS technology, such as trapped ion mobility spectrometry, or high field asymmetric waveform ion mobility spectrometry require sophisticated analysis software capable of handling the increased data complexity and exploiting the full potential of DIA. We identify and critically evaluate leading software tools in the DIA landscape, discussing their unique features, and the reliability of their quantitative and qualitative outputs. We present the biological and clinical relevance of DIA-MS and discuss crucial publications that paved the way for in-depth proteomic characterization in patient-derived specimens. Furthermore, we provide a perspective on emerging trends in clinical applications and present upcoming challenges including standardization and certification of MS-based acquisition strategies in molecular diagnostics. While we emphasize the need for continuous development of software tools to keep pace with evolving technologies, we advise researchers against uncritically accepting the results from DIA software tools. Each tool may have its own biases, and some may not be as sensitive or reliable as others. Our overarching recommendation for both researchers and clinicians is to employ multiple DIA analysis tools, utilizing orthogonal analysis approaches to enhance the robustness and reliability of their findings.
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Affiliation(s)
- Klemens Fröhlich
- Proteomics Core Facility, Biozentrum Basel, University of Basel, Basel, Switzerland
| | - Matthias Fahrner
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany
| | - Eva Brombacher
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Germany; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Germany; Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Germany; Faculty of Biology, University of Freiburg, Germany
| | - Adrianna Seredynska
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany; Faculty of Biology, University of Freiburg, Germany
| | - Maximilian Maldacker
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; Faculty of Biology, University of Freiburg, Germany
| | - Clemens Kreutz
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Germany; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Germany
| | - Alexander Schmidt
- Proteomics Core Facility, Biozentrum Basel, University of Basel, Basel, Switzerland
| | - Oliver Schilling
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany
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2
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Faktor J, Kote S, Bienkowski M, Hupp TR, Marek-Trzonkowska N. Novel FFPE proteomics method suggests prolactin induced protein as hormone induced cytoskeleton remodeling spatial biomarker. Commun Biol 2024; 7:708. [PMID: 38851810 PMCID: PMC11162451 DOI: 10.1038/s42003-024-06354-8] [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: 01/20/2023] [Accepted: 05/20/2024] [Indexed: 06/10/2024] Open
Abstract
Robotically assisted proteomics provides insights into the regulation of multiple proteins achieving excellent spatial resolution. However, developing an effective method for spatially resolved quantitative proteomics of formalin fixed paraffin embedded tissue (FFPE) in an accessible and economical manner remains challenging. We introduce non-robotic In-insert FFPE proteomics approach, combining glass insert FFPE tissue processing with spatial quantitative data-independent mass spectrometry (DIA). In-insert approach identifies 450 proteins from a 5 µm thick breast FFPE tissue voxel with 50 µm lateral dimensions covering several tens of cells. Furthermore, In-insert approach associated a keratin series and moesin (MOES) with prolactin-induced protein (PIP) indicating their prolactin and/or estrogen regulation. Our data suggest that PIP is a spatial biomarker for hormonally triggered cytoskeletal remodeling, potentially useful for screening hormonally affected hotspots in breast tissue. In-insert proteomics represents an alternative FFPE processing method, requiring minimal laboratory equipment and skills to generate spatial proteotype repositories from FFPE tissue.
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Affiliation(s)
- Jakub Faktor
- International Centre for Cancer Vaccine Science, University of Gdansk, Kladki 24, 80-822, Gdansk, Poland.
| | - Sachin Kote
- International Centre for Cancer Vaccine Science, University of Gdansk, Kladki 24, 80-822, Gdansk, Poland.
| | - Michal Bienkowski
- Medical University of Gdansk, University of Gdansk, Mariana Smoluchowskiego 17, 80-214, Gdansk, Poland
| | - Ted R Hupp
- International Centre for Cancer Vaccine Science, University of Gdansk, Kladki 24, 80-822, Gdansk, Poland
| | - Natalia Marek-Trzonkowska
- International Centre for Cancer Vaccine Science, University of Gdansk, Kladki 24, 80-822, Gdansk, Poland
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3
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Thiery J, Fahrner M. Integration of proteomics in the molecular tumor board. Proteomics 2024; 24:e2300002. [PMID: 38143279 DOI: 10.1002/pmic.202300002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 12/03/2023] [Accepted: 12/05/2023] [Indexed: 12/26/2023]
Abstract
Cancer remains one of the most complex and challenging diseases in mankind. To address the need for a personalized treatment approach for particularly complex tumor cases, molecular tumor boards (MTBs) have been initiated. MTBs are interdisciplinary teams that perform in-depth molecular diagnostics to cooperatively and interdisciplinarily advise on the best therapeutic strategy. Current molecular diagnostics are routinely performed on the transcriptomic and genomic levels, aiming to identify tumor-driving mutations. However, these approaches can only partially capture the actual phenotype and the molecular key players of tumor growth and progression. Thus, direct investigation of the expressed proteins and activated signaling pathways provide valuable complementary information on the tumor-driving molecular characteristics of the tissue. Technological advancements in mass spectrometry-based proteomics enable the robust, rapid, and sensitive detection of thousands of proteins in minimal sample amounts, paving the way for clinical proteomics and the probing of oncogenic signaling activity. Therefore, proteomics is currently being integrated into molecular diagnostics within MTBs and holds promising potential in aiding tumor classification and identifying personalized treatment strategies. This review introduces MTBs and describes current clinical proteomics, its potential in precision oncology, and highlights the benefits of multi-omic data integration.
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Affiliation(s)
- Johanna Thiery
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Matthias Fahrner
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany
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4
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Davis S, Scott C, Oetjen J, Charles PD, Kessler BM, Ansorge O, Fischer R. Deep topographic proteomics of a human brain tumour. Nat Commun 2023; 14:7710. [PMID: 38001067 PMCID: PMC10673928 DOI: 10.1038/s41467-023-43520-8] [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: 03/01/2023] [Accepted: 11/13/2023] [Indexed: 11/26/2023] Open
Abstract
The spatial organisation of cellular protein expression profiles within tissue determines cellular function and is key to understanding disease pathology. To define molecular phenotypes in the spatial context of tissue, there is a need for unbiased, quantitative technology capable of mapping proteomes within tissue structures. Here, we present a workflow for spatially-resolved, quantitative proteomics of tissue that generates maps of protein abundance across tissue slices derived from a human atypical teratoid-rhabdoid tumour at three spatial resolutions, the highest being 40 µm, to reveal distinct abundance patterns of thousands of proteins. We employ spatially-aware algorithms that do not require prior knowledge of the fine tissue structure to detect proteins and pathways with spatial abundance patterns and correlate proteins in the context of tissue heterogeneity and cellular features such as extracellular matrix or proximity to blood vessels. We identify PYGL, ASPH and CD45 as spatial markers for tumour boundary and reveal immune response-driven, spatially-organised protein networks of the extracellular tumour matrix. Overall, we demonstrate spatially-aware deep proteo-phenotyping of tissue heterogeneity, to re-define understanding tissue biology and pathology at the molecular level.
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Affiliation(s)
- Simon Davis
- Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
- Chinese Academy for Medical Sciences Oxford Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
| | - Connor Scott
- Academic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Janina Oetjen
- Bruker Daltonics GmbH & Co. KG, Fahrenheitstraße 4, 28359, Bremen, Germany
| | - Philip D Charles
- Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
| | - Benedikt M Kessler
- Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
- Chinese Academy for Medical Sciences Oxford Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK
| | - Olaf Ansorge
- Academic Unit of Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Roman Fischer
- Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK.
- Chinese Academy for Medical Sciences Oxford Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, UK.
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5
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Dowling P, Swandulla D, Ohlendieck K. Mass Spectrometry-Based Proteomic Technology and Its Application to Study Skeletal Muscle Cell Biology. Cells 2023; 12:2560. [PMID: 37947638 PMCID: PMC10649384 DOI: 10.3390/cells12212560] [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: 10/06/2023] [Revised: 10/27/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023] Open
Abstract
Voluntary striated muscles are characterized by a highly complex and dynamic proteome that efficiently adapts to changed physiological demands or alters considerably during pathophysiological dysfunction. The skeletal muscle proteome has been extensively studied in relation to myogenesis, fiber type specification, muscle transitions, the effects of physical exercise, disuse atrophy, neuromuscular disorders, muscle co-morbidities and sarcopenia of old age. Since muscle tissue accounts for approximately 40% of body mass in humans, alterations in the skeletal muscle proteome have considerable influence on whole-body physiology. This review outlines the main bioanalytical avenues taken in the proteomic characterization of skeletal muscle tissues, including top-down proteomics focusing on the characterization of intact proteoforms and their post-translational modifications, bottom-up proteomics, which is a peptide-centric method concerned with the large-scale detection of proteins in complex mixtures, and subproteomics that examines the protein composition of distinct subcellular fractions. Mass spectrometric studies over the last two decades have decisively improved our general cell biological understanding of protein diversity and the heterogeneous composition of individual myofibers in skeletal muscles. This detailed proteomic knowledge can now be integrated with findings from other omics-type methodologies to establish a systems biological view of skeletal muscle function.
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Affiliation(s)
- Paul Dowling
- Department of Biology, Maynooth University, National University of Ireland, W23 F2H6 Maynooth, Co. Kildare, Ireland;
- Kathleen Lonsdale Institute for Human Health Research, Maynooth University, W23 F2H6 Maynooth, Co. Kildare, Ireland
| | - Dieter Swandulla
- Institute of Physiology, Faculty of Medicine, University of Bonn, D53115 Bonn, Germany;
| | - Kay Ohlendieck
- Department of Biology, Maynooth University, National University of Ireland, W23 F2H6 Maynooth, Co. Kildare, Ireland;
- Kathleen Lonsdale Institute for Human Health Research, Maynooth University, W23 F2H6 Maynooth, Co. Kildare, Ireland
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6
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Downs M, Zaia J, Sethi MK. Mass spectrometry methods for analysis of extracellular matrix components in neurological diseases. MASS SPECTROMETRY REVIEWS 2023; 42:1848-1875. [PMID: 35719114 PMCID: PMC9763553 DOI: 10.1002/mas.21792] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/12/2022] [Accepted: 05/24/2022] [Indexed: 06/15/2023]
Abstract
The brain extracellular matrix (ECM) is a highly glycosylated environment and plays important roles in many processes including cell communication, growth factor binding, and scaffolding. The formation of structures such as perineuronal nets (PNNs) is critical in neuroprotection and neural plasticity, and the formation of molecular networks is dependent in part on glycans. The ECM is also implicated in the neuropathophysiology of disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), and Schizophrenia (SZ). As such, it is of interest to understand both the proteomic and glycomic makeup of healthy and diseased brain ECM. Further, there is a growing need for site-specific glycoproteomic information. Over the past decade, sample preparation, mass spectrometry, and bioinformatic methods have been developed and refined to provide comprehensive information about the glycoproteome. Core ECM molecules including versican, hyaluronan and proteoglycan link proteins, and tenascin are dysregulated in AD, PD, and SZ. Glycomic changes such as differential sialylation, sulfation, and branching are also associated with neurodegeneration. A more thorough understanding of the ECM and its proteomic, glycomic, and glycoproteomic changes in brain diseases may provide pathways to new therapeutic options.
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Affiliation(s)
- Margaret Downs
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, Boston, Massachusetts, USA
| | - Joseph Zaia
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, Boston, Massachusetts, USA
- Bioinformatics Program, Boston University, Boston, Massachusetts, USA
| | - Manveen K Sethi
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, Boston, Massachusetts, USA
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Schäfer M, Schneider M, Müller T, Franz N, Braspenning-Wesch I, Stephan S, Schmidt G, Krijgsveld J, Helm D, Rösl F, Hasche D. Spatial tissue proteomics reveals distinct landscapes of heterogeneity in cutaneous papillomavirus-induced keratinocyte carcinomas. J Med Virol 2023; 95:e28850. [PMID: 37322807 DOI: 10.1002/jmv.28850] [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: 03/20/2023] [Revised: 05/24/2023] [Accepted: 05/26/2023] [Indexed: 06/17/2023]
Abstract
Infection with certain cutaneous human papillomaviruses (HPV), in conjunction with chronic ultraviolet (UV) exposure, are the major cofactors of non-melanoma skin cancer (NMSC), the most frequent cancer type worldwide. Cutaneous squamous cell carcinomas (SCCs) as well as tumors in general represent three-dimensional entities determined by both temporal and spatial constraints. Whole tissue proteomics is a straightforward approach to understand tumorigenesis in better detail, but studies focusing on different progression states toward a dedifferentiated SCC phenotype on a spatial level are rare. Here, we applied an innovative proteomic workflow on formalin-fixed, paraffin-embedded (FFPE) epithelial tumors derived from the preclinical animal model Mastomys coucha. This rodent is naturally infected with its genuine cutaneous papillomavirus and closely mimics skin carcinogenesis in the context of cutaneous HPV infections in humans. We deciphered cellular networks by comparing diverse epithelial tissues with respect to their differentiation level and infection status. Our study reveals novel regulatory proteins and pathways associated with virus-induced tumor initiation and progression of SCCs. This approach provides the basis to better comprehend the multistep process of skin carcinogenesis.
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Affiliation(s)
- Miriam Schäfer
- Division of Viral Transformation Mechanisms, Research Program "Infection, Inflammation and Cancer", German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Martin Schneider
- Proteomics Core Facility, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Torsten Müller
- Division Proteomics of Stem Cells and Cancer, Research Program "Functional and Structural Genomics", German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg University, Medical Faculty, Heidelberg, Germany
| | - Natascha Franz
- Division of Viral Transformation Mechanisms, Research Program "Infection, Inflammation and Cancer", German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ilona Braspenning-Wesch
- Division of Viral Transformation Mechanisms, Research Program "Infection, Inflammation and Cancer", German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sonja Stephan
- Division of Viral Transformation Mechanisms, Research Program "Infection, Inflammation and Cancer", German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Gabriele Schmidt
- Core Facility Unit Light Microscopy, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen Krijgsveld
- Division Proteomics of Stem Cells and Cancer, Research Program "Functional and Structural Genomics", German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg University, Medical Faculty, Heidelberg, Germany
| | - Dominic Helm
- Proteomics Core Facility, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Frank Rösl
- Division of Viral Transformation Mechanisms, Research Program "Infection, Inflammation and Cancer", German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel Hasche
- Division of Viral Transformation Mechanisms, Research Program "Infection, Inflammation and Cancer", German Cancer Research Center (DKFZ), Heidelberg, Germany
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8
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Zhang Y, Yang L, Zhang Y, Liang Y, Zhao H, Li Y, Cai G, Wu Z, Li Z. Identification of Important Factors Causing Developmental Arrest in Cloned Pig Embryos by Embryo Biopsy Combined with Microproteomics. Int J Mol Sci 2022; 23:ijms232415975. [PMID: 36555617 PMCID: PMC9783476 DOI: 10.3390/ijms232415975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/07/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
The technique of pig cloning holds great promise for the livestock industry, life science, and biomedicine. However, the prenatal death rate of cloned pig embryos is extremely high, resulting in a very low cloning efficiency. This limits the development and application of pig cloning. In this study, we utilized embryo biopsy combined with microproteomics to identify potential factors causing the developmental arrest in cloned pig embryos. We verified the roles of two potential regulators, PDCD6 and PLK1, in cloned pig embryo development. We found that siRNA-mediated knockdown of PDCD6 reduced mRNA and protein expression levels of the pro-apoptotic gene, CASP3, in cloned pig embryos. PDCD6 knockdown also increased the cleavage rate and blastocyst rate of cloned porcine embryos. Overexpression of PLK1 via mRNA microinjection also improved the cleavage rate of cloned pig embryos. This study provided a new strategy to identify key factors responsible for the developmental defects in cloned pig embryos. It also helped establish new methods to improve pig cloning efficiency, specifically by correcting the expression pattern of PDCD6 and PLK1 in cloned pig embryos.
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Affiliation(s)
- Yuxing Zhang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guangzhou 510030, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
| | - Liusong Yang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guangzhou 510030, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
| | - Yiqian Zhang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guangzhou 510030, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
| | - Yalin Liang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guangzhou 510030, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
| | - Huaxing Zhao
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guangzhou 510030, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
| | - Yanan Li
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guangzhou 510030, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
| | - Gengyuan Cai
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guangzhou 510030, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
| | - Zhenfang Wu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guangzhou 510030, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou 510642, China
- Correspondence: (Z.W.); (Z.L.)
| | - Zicong Li
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, Guangzhou 510030, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510030, China
- Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, Guangzhou 510642, China
- Correspondence: (Z.W.); (Z.L.)
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9
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Protein Alterations in Cardiac Ischemia/Reperfusion Revealed by Spatial-Omics. Int J Mol Sci 2022; 23:ijms232213847. [PMID: 36430335 PMCID: PMC9692276 DOI: 10.3390/ijms232213847] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/01/2022] [Accepted: 11/08/2022] [Indexed: 11/12/2022] Open
Abstract
Myocardial infarction is the most common cause of death worldwide. An understanding of the alterations in protein pathways is needed in order to develop strategies that minimize myocardial damage. To identify the protein signature of cardiac ischemia/reperfusion (I/R) injury in rats, we combined, for the first time, protein matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) and label-free proteomics on the same tissue section placed on a conductive slide. Wistar rats were subjected to I/R surgery and sacrificed after 24 h. Protein MALDI-MSI data revealed ischemia specific regions, and distinct profiles for the infarct core and border. Firstly, the infarct core, compared to histologically unaffected tissue, showed a significant downregulation of cardiac biomarkers, while an upregulation was seen for coagulation and immune response proteins. Interestingly, within the infarct tissue, alterations in the cytoskeleton reorganization and inflammation were found. This work demonstrates that a single tissue section can be used for protein-based spatial-omics, combining MALDI-MSI and label-free proteomics. Our workflow offers a new methodology to investigate the mechanisms of cardiac I/R injury at the protein level for new strategies to minimize damage after MI.
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10
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Nwosu AJ, Misal SA, Truong T, Carson RH, Webber KGI, Axtell NB, Liang Y, Johnston SM, Virgin KL, Smith EG, Thomas GV, Morgan T, Price JC, Kelly RT. In-Depth Mass Spectrometry-Based Proteomics of Formalin-Fixed, Paraffin-Embedded Tissues with a Spatial Resolution of 50-200 μm. J Proteome Res 2022; 21:2237-2245. [PMID: 35916235 PMCID: PMC9767749 DOI: 10.1021/acs.jproteome.2c00409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Formalin-fixed, paraffin-embedded (FFPE) tissues are banked in large repositories to cost-effectively preserve valuable specimens for later study. With the rapid growth of spatial proteomics, FFPE tissues can serve as a more accessible alternative to more commonly used frozen tissues. However, extracting proteins from FFPE tissues is challenging due to cross-links formed between proteins and formaldehyde. Here, we have adapted the nanoPOTS sample processing workflow, which was previously applied to single cells and fresh-frozen tissues, to profile protein expression from FFPE tissues. Following the optimization of extraction solvents, times, and temperatures, we identified an average of 1312 and 3184 high-confidence master proteins from 10 μm thick FFPE-preserved mouse liver tissue squares having lateral dimensions of 50 and 200 μm, respectively. The observed proteome coverage for FFPE tissues was on average 88% of that achieved for similar fresh-frozen tissues. We also characterized the performance of our fully automated sample preparation and analysis workflow, termed autoPOTS, for FFPE spatial proteomics. This modified nanodroplet processing in one pot for trace samples (nanoPOTS) and fully automated processing in one pot for trace sample (autoPOTS) workflows provides the greatest coverage reported to date for high-resolution spatial proteomics applied to FFPE tissues. Data are available via ProteomeXchange with identifier PXD029729.
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Affiliation(s)
- Andikan J Nwosu
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Santosh A Misal
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Thy Truong
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Richard H Carson
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Kei G I Webber
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Nathaniel B Axtell
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Yiran Liang
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - S Madisyn Johnston
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Kenneth L Virgin
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Ethan G Smith
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - George V Thomas
- Knight Cancer Center, Oregon Health & Science University, Portland, Oregon 97239, United States
| | - Terry Morgan
- Department of Pathology, Oregon Health & Science University, Portland, Oregon 97239, United States
| | - John C Price
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
| | - Ryan T Kelly
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States
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11
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Kwon Y, Piehowski PD, Zhao R, Sontag RL, Moore RJ, Burnum-Johnson KE, Smith RD, Qian WJ, Kelly RT, Zhu Y. Hanging drop sample preparation improves sensitivity of spatial proteomics. LAB ON A CHIP 2022; 22:2869-2877. [PMID: 35838077 PMCID: PMC9320080 DOI: 10.1039/d2lc00384h] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/08/2022] [Indexed: 06/15/2023]
Abstract
Spatial proteomics holds great promise for revealing tissue heterogeneity in both physiological and pathological conditions. However, one significant limitation of most spatial proteomics workflows is the requirement of large sample amounts that blurs cell-type-specific or microstructure-specific information. In this study, we developed an improved sample preparation approach for spatial proteomics and integrated it with our previously-established laser capture microdissection (LCM) and microfluidics sample processing platform. Specifically, we developed a hanging drop (HD) method to improve the sample recovery by positioning a nanowell chip upside-down during protein extraction and tryptic digestion steps. Compared with the commonly-used sitting-drop method, the HD method keeps the tissue pixel away from the container surface, and thus improves the accessibility of the extraction/digestion buffer to the tissue sample. The HD method can increase the MS signal by 7 fold, leading to a 66% increase in the number of identified proteins. An average of 721, 1489, and 2521 proteins can be quantitatively profiled from laser-dissected 10 μm-thick mouse liver tissue pixels with areas of 0.0025, 0.01, and 0.04 mm2, respectively. The improved system was further validated in the study of cell-type-specific proteomes of mouse uterine tissues.
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Affiliation(s)
- Yumi Kwon
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
| | - Paul D Piehowski
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
| | - Rui Zhao
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
| | - Ryan L Sontag
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Kristin E Burnum-Johnson
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ryan T Kelly
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
- Department of Chemistry and Biochemistry, Brigham Young University, C100 BNSN, Provo, UT 84602, USA
| | - Ying Zhu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
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12
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Periostin in lymph node pre-metastatic niches governs lymphatic endothelial cell functions and metastatic colonization. Cell Mol Life Sci 2022; 79:295. [PMID: 35567669 PMCID: PMC9107454 DOI: 10.1007/s00018-022-04262-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 03/03/2022] [Accepted: 03/18/2022] [Indexed: 12/25/2022]
Abstract
Although lymph node (LN) metastasis is an important prognostic parameter in cervical cancer, the tissue remodeling at a pre-metastatic state is poorly documented in LNs. We here identified periostin (POSTN) as a component of non-metastatic LNs by applying proteomic analyses and computerized image quantifications on LNs of patients with cervical cancer. We provide evidence for remarkable modifications of POSTN and lymphatic vessel distributions and densities in non-metastatic sentinel and metastatic human LNs, when compared to distant non-metastatic LNs. POSTN deposition at a pre-metastatic stage was demonstrated in a pre-clinical murine model (the ear sponge assay). Its expression by fibroblastic LN cells was assessed by in situ hybridization and in vitro cultures. In vitro, POSTN promoted lymphatic endothelial cell functions and tumor cell proliferation. Accordingly, the in vivo injection of recombinant POSTN together with VEGF-C boosted the lymphangiogenic response, while the metastatic potential of tumor cells was drastically reduced using a POSTN blocking antibody. This translational study also supports the existence of an unprecedented dialog “in cascade”, between the primary tumor and the first pelvic nodal relay in early cervical cancer, and subsequently from pelvic LN to para-aortic LNs in locally advanced cervical cancers. Collectively, this work highlights the association of POSTN deposition with lymphangiogenesis in LNs, and provides evidence for a key contribution of POSTN in promoting VEGF-C driven lymphangiogenesis and the seeding of metastatic cells.
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13
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Bury AG, Pyle A, Marcuccio F, Turnbull DM, Vincent AE, Hudson G, Actis P. A subcellular cookie cutter for spatial genomics in human tissue. Anal Bioanal Chem 2022; 414:5483-5492. [PMID: 35233697 PMCID: PMC9242960 DOI: 10.1007/s00216-022-03944-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 01/23/2022] [Accepted: 01/31/2022] [Indexed: 11/30/2022]
Abstract
Intracellular heterogeneity contributes significantly to cellular physiology and, in a number of debilitating diseases, cellular pathophysiology. This is greatly influenced by distinct organelle populations and to understand the aetiology of disease, it is important to have tools able to isolate and differentially analyse organelles from precise location within tissues. Here, we report the development of a subcellular biopsy technology that facilitates the isolation of organelles, such as mitochondria, from human tissue. We compared the subcellular biopsy technology to laser capture microdissection (LCM) that is the state-of-the-art technique for the isolation of cells from their surrounding tissues. We demonstrate an operational limit of >20 µm for LCM and then, for the first time in human tissue, show that subcellular biopsy can be used to isolate mitochondria beyond this limit.
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Affiliation(s)
- Alexander G Bury
- Wellcome Centre for Mitochondrial Research, Medical School, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK.,Biosciences Institute, Medical School, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK.,Bragg Centre for Materials Research, University of Leeds, Leeds, LS2 9JT, UK.,School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK
| | - Angela Pyle
- Wellcome Centre for Mitochondrial Research, Medical School, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK.,Translational and Clinical Research Institute, Medical School, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK
| | - Fabio Marcuccio
- Bragg Centre for Materials Research, University of Leeds, Leeds, LS2 9JT, UK.,School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK
| | - Doug M Turnbull
- Wellcome Centre for Mitochondrial Research, Medical School, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK.,Translational and Clinical Research Institute, Medical School, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK
| | - Amy E Vincent
- Wellcome Centre for Mitochondrial Research, Medical School, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK. .,Translational and Clinical Research Institute, Medical School, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK.
| | - Gavin Hudson
- Wellcome Centre for Mitochondrial Research, Medical School, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK. .,Biosciences Institute, Medical School, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK.
| | - Paolo Actis
- Bragg Centre for Materials Research, University of Leeds, Leeds, LS2 9JT, UK. .,School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
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14
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Evaluation of Fast and Sensitive Proteome Profiling of FF and FFPE Kidney Patient Tissues. Molecules 2022; 27:molecules27031137. [PMID: 35164409 PMCID: PMC8838561 DOI: 10.3390/molecules27031137] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 01/27/2022] [Accepted: 02/01/2022] [Indexed: 12/14/2022] Open
Abstract
The application of proteomics to fresh frozen (FF) and formalin-fixed paraffin-embedded (FFPE) human tissues is an important development spurred on by requests from stakeholder groups in clinical fields. One objective is to complement current diagnostic methods with new specific molecular information. An important goal is to achieve adequate and consistent protein recovery across and within large-scale studies. Here, we describe development of several protocols incorporating mass spectrometry compatible detergents, including Rapigest, PPS, and ProteaseMax. Methods were applied on 4 and 15 μm thick FF tissues, and 4 μm thick FFPE tissues. We evaluated sensitivity and repeatability of the methods and found that the protocol containing Rapigest enabled detection of 630 proteins from FF tissue of 1 mm2 and 15 μm thick, whereas 498 and 297 proteins were detected with the protocols containing ProteaseMax and PPS, respectively. Surprisingly, PPS-containing buffer showed good extraction of the proteins from 4 μm thick FFPE tissue with the average of 270 protein identifications (1 mm2), similar to the results on 4 μm thick FF. Moreover, we found that temperature increases during incubation with urea on 4 μm thick FF tissue revealed a decrease in the number of identified proteins and increase in the number of the carbamylated peptides.
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15
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López-Cortés R, Vázquez-Estévez S, Fernández JÁ, Núñez C. Proteomics as a Complementary Technique to Characterize Bladder Cancer. Cancers (Basel) 2021; 13:cancers13215537. [PMID: 34771699 PMCID: PMC8582709 DOI: 10.3390/cancers13215537] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 10/21/2021] [Accepted: 10/21/2021] [Indexed: 12/11/2022] Open
Abstract
Simple Summary Although immunohistochemistry is a routine technique in clinics, and genomics has been rapidly incorporated, proteomics is a step behind. This general situation is also the norm in bladder cancer research. This review shows the contributions of proteomics to the molecular classification of bladder cancer, and to the study of histopathology due to tissue insults caused by tumors. Furthermore, the importance of proteomics for understanding the cellular and molecular changes as a consequence of the therapy of bladder cancer cannot be neglected. Abstract Bladder cancer (BC) is the most common tumor of the urinary tract and is conventionally classified as either non-muscle invasive or muscle invasive. In addition, histological variants exist, as organized by the WHO-2016 classification. However, innovations in next-generation sequencing have led to molecular classifications of BC. These innovations have also allowed for the tracing of major tumorigenic pathways and, therefore, are positioned as strong supporters of precision medicine. In parallel, immunohistochemistry is still the clinical reference to discriminate histological layers and to stage BC. Key contributions have been made to enlarge the panel of protein immunomarkers. Moreover, the analysis of proteins in liquid biopsy has also provided potential markers. Notwithstanding, their clinical adoption is still low, with very few approved tests. In this context, mass spectrometry-based proteomics has remained a step behind; hence, we aimed to develop them in the community. Herein, the authors introduce the epidemiology and the conventional classifications to review the molecular classification of BC, highlighting the contributions of proteomics. Then, the advances in mass spectrometry techniques focusing on maintaining the integrity of the biological structures are presented, a milestone for the emergence of histoproteomics. Within this field, the review then discusses selected proteins for the comprehension of the pathophysiological mechanisms of BC. Finally, because there is still insufficient knowledge, this review considers proteomics as an important source for the development of BC therapies.
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Affiliation(s)
- Rubén López-Cortés
- Research Unit, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), 27002 Lugo, Spain;
| | - Sergio Vázquez-Estévez
- Oncology Division, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), 27002 Lugo, Spain; (S.V.-E.); (J.Á.F.)
| | - Javier Álvarez Fernández
- Oncology Division, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), 27002 Lugo, Spain; (S.V.-E.); (J.Á.F.)
| | - Cristina Núñez
- Research Unit, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), 27002 Lugo, Spain;
- Correspondence:
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16
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Kulyyassov A, Fresnais M, Longuespée R. Targeted liquid chromatography-tandem mass spectrometry analysis of proteins: Basic principles, applications, and perspectives. Proteomics 2021; 21:e2100153. [PMID: 34591362 DOI: 10.1002/pmic.202100153] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/08/2021] [Accepted: 09/24/2021] [Indexed: 12/25/2022]
Abstract
Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) is now the main analytical method for the identification and quantification of peptides and proteins in biological samples. In modern research, identification of biomarkers and their quantitative comparison between samples are becoming increasingly important for discovery, validation, and monitoring. Such data can be obtained following specific signals after fragmentation of peptides using multiple reaction monitoring (MRM) and parallel reaction monitoring (PRM) methods, with high specificity, accuracy, and reproducibility. In addition, these methods allow measurement of the amount of post-translationally modified forms and isoforms of proteins. This review article describes the basic principles of MRM assays, guidelines for sample preparation, recent advanced MRM-based strategies, applications and illustrative perspectives of MRM/PRM methods in clinical research and molecular biology.
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Affiliation(s)
| | - Margaux Fresnais
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Rémi Longuespée
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
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17
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Mao Y, Wang X, Huang P, Tian R. Spatial proteomics for understanding the tissue microenvironment. Analyst 2021; 146:3777-3798. [PMID: 34042124 DOI: 10.1039/d1an00472g] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The human body comprises rich populations of cells, which are arranged into tissues and organs with diverse functionalities. These cells exhibit a broad spectrum of phenotypes and are often organized as a heterogeneous but sophisticatedly regulated ecosystem - tissue microenvironment, inside which every cell interacts with and is reciprocally influenced by its surroundings through its life span. Therefore, it is critical to comprehensively explore the cellular machinery and biological processes in the tissue microenvironment, which is best exemplified by the tumor microenvironment (TME). The past decade has seen increasing advances in the field of spatial proteomics, the main purpose of which is to characterize the abundance and spatial distribution of proteins and their post-translational modifications in the microenvironment of diseased tissues. Herein, we outline the achievements and remaining challenges of mass spectrometry-based tissue spatial proteomics. Exciting technology developments along with important biomedical applications of spatial proteomics are highlighted. In detail, we focus on high-quality resources built by scalpel macrodissection-based region-resolved proteomics, method development of sensitive sample preparation for laser microdissection-based spatial proteomics, and antibody recognition-based multiplexed tissue imaging. In the end, critical issues and potential future directions for spatial proteomics are also discussed.
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Affiliation(s)
- Yiheng Mao
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, 150001, China. and Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xi Wang
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China and Shenzhen People's Hospital, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518020, China
| | - Peiwu Huang
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ruijun Tian
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
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18
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Mann M, Brasier AR. Evolution of proteomics technologies for understanding respiratory syncytial virus pathogenesis. Expert Rev Proteomics 2021; 18:379-394. [PMID: 34018899 PMCID: PMC8277732 DOI: 10.1080/14789450.2021.1931130] [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: 03/05/2021] [Accepted: 05/14/2021] [Indexed: 10/21/2022]
Abstract
Introduction: Respiratory syncytial virus (RSV) is a major human pathogen associated with long term morbidity. RSV replication occurs primarily in the epithelium, producing a complex cellular response associated with acute inflammation and long-lived changes in pulmonary function and allergic disease. Proteomics approaches provide important insights into post-transcriptional regulatory processes including alterations in cellular complexes regulating the coordinated innate response and epigenome.Areas covered: Peer-reviewed proteomics studies of host responses to RSV infections and proteomics techniques were analyzed. Methodologies identified include 1)." bottom-up" discovery proteomics, 2). Organellar proteomics by LC-gel fractionation; 3). Dynamic changes in protein interaction networks by LC-MS; and 4). selective reaction monitoring MS. We introduce recent developments in single-cell proteomics, top-down mass spectrometry, and photo-cleavable surfactant chemistries that will have impact on understanding how RSV induces extracellular matrix (ECM) composition and airway remodeling.Expert opinion: RSV replication induces global changes in the cellular proteome, dynamic shifts in nuclear proteins, and remodeling of epigenetic regulatory complexes linked to the innate response. Pathways discovered by proteomics technologies have led to deeper mechanistic understanding of the roles of heat shock proteins, redox response, transcriptional elongation complex remodeling and ECM secretion remodeling in host responses to RSV infections and pathological sequelae.
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Affiliation(s)
- Morgan Mann
- Department of Internal Medicine, University of Wisconsin-Madison School of Medicine and Public Health (SMPH), Madison, WI, USA
| | - Allan R Brasier
- Department of Internal Medicine and Institute for Clinical and Translational Research (ICTR), University of Wisconsin-Madison, Madison, WI, USA
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19
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Vieujean S, Hu S, Bequet E, Salee C, Massot C, Bletard N, Pierre N, Quesada Calvo F, Baiwir D, Mazzucchelli G, De Pauw E, Coimbra Marques C, Delvenne P, Rieder F, Louis E, Meuwis MA. Potential Role of Epithelial Endoplasmic Reticulum Stress and Anterior Gradient Protein 2 Homologue in Crohn's Disease Fibrosis. J Crohns Colitis 2021; 15:1737-1750. [PMID: 33822017 PMCID: PMC8861373 DOI: 10.1093/ecco-jcc/jjab061] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND AIMS Intestinal fibrosis is a common complication of Crohn's disease [CD]. It is characterised by an accumulation of fibroblasts differentiating into myofibroblasts secreting excessive extracellular matrix. The potential role of the intestinal epithelium in this fibrotic process remains poorly defined. METHODS We performed a pilot proteomic study comparing the proteome of surface epithelium, isolated by laser-capture microdissection, in normal and fibrotic zones of resected ileal CD strictures [13 zones collected in five patients]. Proteins of interests were validated by immunohistochemistry [IHC] in ileal and colonic samples of stricturing CD [n = 44], pure inflammatory CD [n = 29], and control [n = 40] subjects. The pro-fibrotic role of one selected epithelial protein was investigated through in-vitro experiments using HT-29 epithelial cells and a CCD-18Co fibroblast to myofibroblast differentiation model. RESULTS Proteomic study revealed an endoplasmic reticulum [ER] stress proteins increase in the epithelium of CD ileal fibrotic strictures, including anterior gradient protein 2 homologue [AGR2] and binding-immunoglobulin protein [BiP]. This was confirmed by IHC. In HT-29 cells, tunicamycin-induced ER stress triggered AGR2 intracellular expression and its secretion. Supernatant of these HT-29 cells, pre-conditioned by tunicamycin, led to a myofibroblastic differentiation when applied on CCD-18Co fibroblasts. By using recombinant protein and blocking agent for AGR2, we demonstrated that the secretion of this protein by epithelial cells can play a role in the myofibroblastic differentiation. CONCLUSIONS The development of CD fibrotic strictures could involve epithelial ER stress and particularly the secretion of AGR2.
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Affiliation(s)
- Sophie Vieujean
- Corresponding author: Sophie Vieujean, MD, Laboratory of Translational Gastroenterology, University of Liège, GIGA-Research, +2, B34, Avenue de l’hôpital 1, 4000 Liège, Belgium. Tel.: +32-4-3667256; fax: +32-4-3667889; mail:
| | | | - Emeline Bequet
- Laboratory of Translational Gastroenterology, University of Liège, Liège, Belgium,Division of Hepato-Gastroenterology, Department of Paediatrics, University Hospital of Liège, Liège, Belgium
| | - Catherine Salee
- Laboratory of Translational Gastroenterology, University of Liège, Liège, Belgium
| | - Charlotte Massot
- Laboratory of Translational Gastroenterology, University of Liège, Liège, Belgium
| | - Noëlla Bletard
- Pathological Anatomy and Cytology, University Hospital CHU of Liège, Liège, Belgium
| | - Nicolas Pierre
- Laboratory of Translational Gastroenterology, University of Liège, Liège, Belgium
| | | | | | - Gabriel Mazzucchelli
- MolSys Research Unit, Laboratory of Mass Spectrometry, University of Liège, Liège, Belgium
| | - Edwin De Pauw
- MolSys Research Unit, Laboratory of Mass Spectrometry, University of Liège, Liège, Belgium
| | | | - Philippe Delvenne
- Pathological Anatomy and Cytology, University Hospital CHU of Liège, Liège, Belgium
| | - Florian Rieder
- Gastroenterology, Hepatology & Nutrition, Cleveland Clinic, Cleveland, OH, USA
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20
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Mitachi K, Ariake K, Shima H, Sato S, Miura T, Maeda S, Ishida M, Mizuma M, Ohtsuka H, Kamei T, Igarashi K, Unno M. Novel candidate factors predicting the effect of S-1 adjuvant chemotherapy of pancreatic cancer. Sci Rep 2021; 11:6541. [PMID: 33753854 PMCID: PMC7985196 DOI: 10.1038/s41598-021-86099-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 03/10/2021] [Indexed: 12/03/2022] Open
Abstract
The collagen gel droplet-embedded drug sensitivity test (CD-DST) was revealed to be useful for predicting the effect of S-1 adjuvant chemotherapy for pancreatic ductal adenocarcinoma (PDAC). However, collection of an adequate number of PDAC cells is difficult due to the surrounding fibroblasts. Thus, the aim of this study was to discover novel biomarkers to predict chemosensitivity based on the CD-DST results. Proteomics analysis was performed using liquid chromatography tandem mass spectrometry (LC–MS/MS). Candidate proteins were validated in patients with 5-FU CD-DST results via immunohistochemistry (IHC). The relationships between the candidate proteins and the effect of the adjuvant S-1 were investigated via IHC. Among the 2696 proteins extracted by LC–MS/MS, C1TC and SAHH could accurately predict the CD-DST results. Recurrence-free survival (RFS) was significantly improved in the IHC-positive group compared with the IHC-negative group in both factors. The negative group did not show a significant difference from the group that did not receive S-1. The double-positive group was associated with significantly prolonged RFS compared to the no adjuvant chemotherapy group. C1TC and SAHH have been shown to be useful biomarkers for predicting 5-FU sensitivity as a substitute for the CD-DST in adjuvant chemotherapy for PDAC.
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Affiliation(s)
- Katsutaka Mitachi
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kyohei Ariake
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
| | - Hiroki Shima
- Department of Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Satoko Sato
- Department of Pathology, Tohoku University Hospital, Sendai, Japan
| | - Takayuki Miura
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shimpei Maeda
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masaharu Ishida
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masamichi Mizuma
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hideo Ohtsuka
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takashi Kamei
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kazuhiko Igarashi
- Department of Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Michiaki Unno
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
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21
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Alexovič M, Sabo J, Longuespée R. Microproteomic sample preparation. Proteomics 2021; 21:e2000318. [PMID: 33547857 DOI: 10.1002/pmic.202000318] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/23/2021] [Accepted: 01/27/2021] [Indexed: 12/11/2022]
Abstract
Multiple applications of proteomics in life and health science, pathology and pharmacology, require handling size-limited cell and tissue samples. During proteomic sample preparation, analyte loss in these samples arises when standard procedures are used. Thus, specific considerations have to be taken into account for processing, that are summarised under the term microproteomics (μPs). Microproteomic workflows include: sampling (e.g., flow cytometry, laser capture microdissection), sample preparation (possible disruption of cells or tissue pieces via lysis, protein extraction, digestion in bottom-up approaches, and sample clean-up) and analysis (chromatographic or electrophoretic separation, mass spectrometric measurements and statistical/bioinformatic evaluation). All these steps must be optimised to reach wide protein dynamic ranges and high numbers of identifications. Under optimal conditions, sampling is adapted to the studied sample types and nature, sample preparation isolates and enriches the whole protein content, clean-up removes salts and other interferences such as detergents or chaotropes, and analysis identifies as many analytes as the instrumental throughput and sensitivity allow. In the suggested review, we present and discuss the current state in μP applications for processing of small number of cells (cell μPs) and microscopic tissue regions (tissue μPs).
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Affiliation(s)
- Michal Alexovič
- Department of Medical and Clinical Biophysics, Faculty of Medicine, University of P.J. Šafárik in Košice, Košice, Slovakia
| | - Ján Sabo
- Department of Medical and Clinical Biophysics, Faculty of Medicine, University of P.J. Šafárik in Košice, Košice, Slovakia
| | - Rémi Longuespée
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
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22
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Liu C, Si X, Yan S, Zhao X, Qian X, Ying W, Zhao L. Development of the C12Im-Cl-assisted method for rapid sample preparation in proteomic application. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:776-781. [PMID: 33492312 DOI: 10.1039/d0ay02079f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Chromatography and mass spectrometry (MS) techniques have greatly improved the power of proteomic analyses. However, sample processing methods used prior to MS, including protein extraction and digestion, remain bottlenecks in the large-scale clinical application of proteomics. Ionic liquids, composed entirely of ions, have high solubility in various solvents. In this study, the effects of the cationic surfactant 1-dodecyl-3-methylimidazolium chloride (C12Im-Cl) on protein digestion were evaluated for clinical proteomic applications. C12Im-Cl was compatible with trypsin and reduced the protein digestion time from 16 h to 1 h. Residual C12Im-Cl was easily removed with a strong anion exchange membrane before MS. We evaluated the performance of C12Im-Cl extraction and rapid protein digestion using formalin-fixed paraffin-embedded liver cancer tissues. The number of proteins and peptides identified was nearly equal to that identified by the traditional filter-aided sample preparation method (2705 vs. 2739 and 16 682 vs. 17 214). In general, the C12Im-Cl-aided rapid sample preparation method is promising for proteomic applications.
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Affiliation(s)
- Chang Liu
- Beijing Key Laboratory of Environmental and Viral Oncology, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
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23
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Feng Z, Zhang J, Zheng Y, Wang Q, Min X, Tian T. Elevated expression of ASF1B correlates with poor prognosis in human lung adenocarcinoma. Per Med 2021; 18:115-127. [PMID: 33576264 DOI: 10.2217/pme-2020-0112] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Aim: ASF1 is involved in tumorigenesis. However, its possible role in lung adenocarcinoma (LUAD) is unclear. This study thus explored the role of ASF1A and ASF1B in LUAD. Materials & methods: Data from The Cancer Genome Atlas and Gene Expression Omnibus were employed to investigate ASF1A and ASF1B expression and its roles in LUAD prognosis. Immunohistochemistry was applied to determine the protein expression of ASF1B of 30 LUAD patients. Results: The upregulation of ASF1B in tumor tissues is associated with worse overall survival and progress-free survival and is correlated with advanced tumor stage and tumor development. However, aberrant expression of ASF1A was not found in LUAD and ASF1A was not related to patients' overall survival and progress-free survival. Conclusion: ASF1B could be a promising prognostic and therapeutic biomarker in LUAD.
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Affiliation(s)
- Zhenxing Feng
- Department of Radiation Oncology, Tianjin Chest Hospital, Tianjin Cardiovascular Disease Research Institute, Tianjin 300222, PR China.,Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin 300060, PR China
| | - Jiao Zhang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin 300060, PR China.,Department of General Surgery, Tianjin Fifth Central Hospital, Tianjin 300450, PR China
| | - Yafang Zheng
- Department of Radiation Oncology, Tianjin Chest Hospital, Tianjin Cardiovascular Disease Research Institute, Tianjin 300222, PR China
| | - Qingzhang Wang
- Department of Radiation Oncology, Tianjin Chest Hospital, Tianjin Cardiovascular Disease Research Institute, Tianjin 300222, PR China
| | - Xiaochuan Min
- Department of Radiation Oncology, Tianjin Chest Hospital, Tianjin Cardiovascular Disease Research Institute, Tianjin 300222, PR China
| | - Tieshuan Tian
- Department of Radiation Oncology, Tianjin Chest Hospital, Tianjin Cardiovascular Disease Research Institute, Tianjin 300222, PR China
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24
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Removal of optimal cutting temperature (O.C.T.) compound from embedded tissue for MALDI imaging of lipids. Anal Bioanal Chem 2021; 413:2695-2708. [PMID: 33564925 DOI: 10.1007/s00216-020-03128-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 11/27/2020] [Accepted: 12/15/2020] [Indexed: 12/14/2022]
Abstract
Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) is a common molecular imaging modality used to characterise the abundance and spatial distribution of lipids in situ. There are several technical challenges predominantly involving sample pre-treatment and preparation which have complicated the analysis of clinical tissues by MALDI-MSI. Firstly, the common embedding of samples in optimal cutting temperature (O.C.T.), which contains high concentrations of polyethylene glycol (PEG) polymers, causes analyte signal suppression during mass spectrometry (MS) by competing for available ions during ionisation. This suppressive effect has constrained the application of MALDI-MSI for the molecular mapping of clinical tissues. Secondly, the complexity of the mass spectra is obtained by the formation of multiple adduct ions. The process of analyte ion formation during MALDI can generate multiple m/z peaks from a single lipid species due to the presence of alkali salts in tissues, resulting in the suppression of protonated adduct formation and the generation of multiple near isobaric ions which produce overlapping spatial distributions. Presented is a method to simultaneously remove O.C.T. and endogenous salts. This approach was applied to lipid imaging in order to prevent analyte suppression, simplify data interpretation, and improve sensitivity by promoting lipid protonation and reducing the formation of alkali adducts.
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25
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Davalieva K, Kiprijanovska S, Dimovski A, Rosoklija G, Dwork AJ. Comparative evaluation of two methods for LC-MS/MS proteomic analysis of formalin fixed and paraffin embedded tissues. J Proteomics 2021; 235:104117. [PMID: 33453434 DOI: 10.1016/j.jprot.2021.104117] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/05/2021] [Accepted: 01/05/2021] [Indexed: 10/22/2022]
Abstract
The proteomics of formalin-fixed, paraffin-embedded (FFPE) samples has advanced significantly during the last two decades, but there are many protocols and few studies comparing them directly. There is no consensus on the most effective protocol for shotgun proteomic analysis. We compared the in-solution digestion with RapiGest and Filter Aided Sample Preparation (FASP) of FFPE prostate tissues stored 7 years and mirroring fresh frozen samples, using two label-free data-independent LC-MS/MS acquisitions. RapiGest identified more proteins than FASP, with almost identical numbers of proteins from fresh and FFPE tissues and 69% overlap, good preservation of high-MW proteins, no bias regarding isoelectric point, and greater technical reproducibility. On the other hand, FASP yielded 20% fewer protein identifications in FFPE than in fresh tissue, with 64-69% overlap, depletion of proteins >70 kDa, lower efficiency in acidic and neutral range, and lower technical reproducibility. Both protocols showed highly similar subcellular compartments distribution, highly similar percentages of extracted unique peptides from FFPE and fresh tissues and high positive correlation between the absolute quantitation values of fresh and FFPE proteins. In conclusion, RapiGest extraction of FFPE tissues delivers a proteome that closely resembles the fresh frozen proteome and should be preferred over FASP in biomarker and quantification studies. SIGNIFICANCE: Here we analyzed the performance of two sample preparation methods for shotgun proteomic analysis of FFPE tissues to give a comprehensive overview of the obtained proteomes and the resemblance to its matching fresh frozen counterparts. These findings give us better understanding towards competent proteomics analysis of FFPE tissues. It is hoped that it will encourage further assessments of available protocols before establishing the most effective protocol for shotgun proteomic FFPE tissue analysis.
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Affiliation(s)
- Katarina Davalieva
- Research Centre for Genetic Engineering and Biotechnology "Georgi D Efremov", Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000 Skopje, North Macedonia.
| | - Sanja Kiprijanovska
- Research Centre for Genetic Engineering and Biotechnology "Georgi D Efremov", Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000 Skopje, North Macedonia
| | - Aleksandar Dimovski
- Research Centre for Genetic Engineering and Biotechnology "Georgi D Efremov", Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000 Skopje, North Macedonia; Faculty of Pharmacy, University "St. Cyril and Methodius", 50ta Divizija 6, 1000 Skopje, North Macedonia
| | - Gorazd Rosoklija
- Department of Psychiatry, Columbia University, New York, USA; Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, 1051 Riverside Drive, Unit 42, New York, NY 10032, USA
| | - Andrew J Dwork
- Department of Psychiatry, Columbia University, New York, USA; Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, 1051 Riverside Drive, Unit 42, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University, New York, USA
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26
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Mezger STP, Mingels AMA, Bekers O, Heeren RMA, Cillero-Pastor B. Mass Spectrometry Spatial-Omics on a Single Conductive Slide. Anal Chem 2021; 93:2527-2533. [PMID: 33412004 PMCID: PMC7859928 DOI: 10.1021/acs.analchem.0c04572] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
![]()
Mass
spectrometry imaging (MSI) can analyze the spatial distribution
of hundreds of different molecules directly from tissue sections usually
placed on conductive glass slides to provide conductivity on the sample
surface. Additional experiments are often required for molecular identification
using consecutive sections on membrane slides compatible with laser
capture microdissection (LMD). In this work, we demonstrate for the
first time the use of a single conductive slide for both matrix-assisted
laser desorption ionization (MALDI)-MSI and direct proteomics. In
this workflow, regions of interest can be directly ablated with LMD
while preserving protein integrity. These results offer an alternative
for MSI-based multimodal spatial-omics.
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Affiliation(s)
- Stephanie T P Mezger
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.,Central Diagnostic Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Alma M A Mingels
- Central Diagnostic Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Otto Bekers
- Central Diagnostic Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Berta Cillero-Pastor
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
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27
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Longuespée R, Theile D, Fresnais M, Burhenne J, Weiss J, Haefeli WE. Approaching sites of action of drugs in clinical pharmacology: New analytical options and their challenges. Br J Clin Pharmacol 2020; 87:858-874. [PMID: 32881012 DOI: 10.1111/bcp.14543] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 08/20/2020] [Accepted: 08/26/2020] [Indexed: 12/13/2022] Open
Abstract
Clinical pharmacology is an important discipline for drug development aiming to define pharmacokinetics (PK), pharmacodynamics (PD) and optimum exposure to drugs, i.e. the concentration-response relationship and its modulators. For this purpose, information on drug concentrations at the anatomical, cellular and molecular sites of action is particularly valuable. In pharmacological assays, the limited accessibility of target cells in readily available samples (i.e. blood) often hampers mass spectrometry-based monitoring of the absolute quantity of a compound and the determination of its molecular action at the cellular level. Recently, new sample collection methods have been developed for the specific capture of rare circulating cells, especially for the diagnosis of circulating tumour cells. In parallel, new advances and developments in mass spectrometric instrumentation now allow analyses to be scaled down to the cellular level. Together, these developments may permit the monitoring of minute drug quantities and show their effect at the cellular level. In turn, such PK/PD associations on a cellular level would not only enrich our pharmacological knowledge of a given compound but also expand the basis for PK/PD simulations. In this review, we describe novel concepts supporting clinical pharmacology at the anatomical, cellular and molecular sites of action, and highlight the new challenges in mass spectrometry-based monitoring. Moreover, we present methods to tackle these challenges and define future needs.
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Affiliation(s)
- Rémi Longuespée
- Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital of Heidelberg, Heidelberg, Germany
| | - Dirk Theile
- Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital of Heidelberg, Heidelberg, Germany
| | - Margaux Fresnais
- Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital of Heidelberg, Heidelberg, Germany.,German Cancer Consortium (DKTK)-German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jürgen Burhenne
- Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital of Heidelberg, Heidelberg, Germany
| | - Johanna Weiss
- Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital of Heidelberg, Heidelberg, Germany
| | - Walter E Haefeli
- Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital of Heidelberg, Heidelberg, Germany
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28
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Merli AM, Vieujean S, Massot C, Blétard N, Quesada Calvo F, Baiwir D, Mazzucchelli G, Servais L, Wéra O, Oury C, de Leval L, Sempoux C, Manzini R, Bluemel S, Scharl M, Rogler G, De Pauw E, Coimbra Marques C, Colard A, Vijverman A, Delvenne P, Louis E, Meuwis MA. Solute carrier family 12 member 2 as a proteomic and histological biomarker of dysplasia and neoplasia in ulcerative colitis. J Crohns Colitis 2020; 15:jjaa168. [PMID: 32920643 DOI: 10.1093/ecco-jcc/jjaa168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND AIMS Ulcerative colitis (UC) patients have a greater risk of developing colorectal cancer through inflammation-dysplasia-carcinoma sequence of transformation. The histopathological diagnosis of dysplasia is therefore of critical clinical relevance, but dysplasia may be difficult to distinguish from inflammatory changes. METHODS A proteomic pilot study on 5 UC colorectal dysplastic patients highlighted proteins differentially distributed between paired dysplastic, inflammatory and normal tissues. The best candidate marker was selected and immunohistochemistry confirmation was performed on AOM/DSS mouse model lesions, 37 UC dysplasia, 14 UC cancers, 23 longstanding UC, 35 sporadic conventional adenomas, 57 sporadic serrated lesions and 82 sporadic colorectal cancers. RESULTS Differential proteomics found 11 proteins significantly more abundant in dysplasia compared to inflammation, including Solute carrier family 12 member 2 (SLC12A2) which was confidently identified with 8 specific peptides and was below the limit of quantitation in both inflammatory and normal colon. SLC12A2 immunohistochemical analysis confirmed the discrimination of preneoplastic and neoplastic lesions from inflammatory lesions in mice, UC and in sporadic contexts. A specific SLC12A2 staining pattern termed "loss of gradient" reached 89% sensitivity, 95% specificity and 92% accuracy for UC-dysplasia diagnosis together with an inter-observer agreement of 95.24% (multirater κfree of 0.90; IC95%: 0.78 - 1.00). Such discrimination could not be obtained by Ki67 staining. This specific pattern was also associated with sporadic colorectal adenomas and cancers. CONCLUSIONS We found a specific SLC12A2 immunohistochemical staining pattern in precancerous and cancerous colonic UC-lesions which could be helpful for diagnosing dysplasia and cancer in UC and non-UC patients.
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Affiliation(s)
- Angela-Maria Merli
- Laboratory of Translational Gastroenterology, University of Liège, Liège, Belgium
| | - Sophie Vieujean
- Laboratory of Translational Gastroenterology, University of Liège, Liège, Belgium
- Hepato-Gastroenterology and Digestive Oncology, University Hospital CHU of Liège, Liège, Belgium
| | - Charlotte Massot
- Laboratory of Translational Gastroenterology, University of Liège, Liège, Belgium
- Hepato-Gastroenterology and Digestive Oncology, University Hospital CHU of Liège, Liège, Belgium
| | - Noella Blétard
- Pathological Anatomy and Cytology, University Hospital CHU of Liège, Liège, Belgium
| | | | | | | | - Laurence Servais
- Laboratory of Cardiology, GIGA-Cardiovascular Sciences, University of Liège, Liège, Belgium
| | - Odile Wéra
- Laboratory of Cardiology, GIGA-Cardiovascular Sciences, University of Liège, Liège, Belgium
| | - Cécile Oury
- Laboratory of Cardiology, GIGA-Cardiovascular Sciences, University of Liège, Liège, Belgium
| | - Laurence de Leval
- Institute of Pathology, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland
| | - Christine Sempoux
- Institute of Pathology, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland
| | - Roberto Manzini
- Department of Gastroenterology and Hepatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Sena Bluemel
- Department of Gastroenterology and Hepatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Michael Scharl
- Department of Gastroenterology and Hepatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Gerhard Rogler
- Department of Gastroenterology and Hepatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Edwin De Pauw
- Laboratory of Mass Spectrometry, University of Liège, Liège, Belgium
| | - C Coimbra Marques
- Abdominal Surgery Department, University Hospital CHU of Liège, Liège, Belgium
| | - Arnaud Colard
- Department of Gastroenterology, CHC Clinique Saint-Joseph, Liège, Belgium
| | - Anne Vijverman
- Department of Gastroenterology, CHR Citadelle, Liège, Belgium
| | - Philippe Delvenne
- Pathological Anatomy and Cytology, University Hospital CHU of Liège, Liège, Belgium
| | - Edouard Louis
- Laboratory of Translational Gastroenterology, University of Liège, Liège, Belgium
- Hepato-Gastroenterology and Digestive Oncology, University Hospital CHU of Liège, Liège, Belgium
- Equally contributed to this work
| | - Marie-Alice Meuwis
- Laboratory of Translational Gastroenterology, University of Liège, Liège, Belgium
- Hepato-Gastroenterology and Digestive Oncology, University Hospital CHU of Liège, Liège, Belgium
- Equally contributed to this work
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29
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Zeneyedpour L, Stingl C, Dekker LJM, Mustafa DAM, Kros JM, Luider TM. Phosphorylation Ratio Determination in Fresh-Frozen and Formalin-Fixed Paraffin-Embedded Tissue with Targeted Mass Spectrometry. J Proteome Res 2020; 19:4179-4190. [PMID: 32811146 DOI: 10.1021/acs.jproteome.0c00354] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Formalin-fixed paraffin-embedded (FFPE) tissues are routinely prepared and collected for diagnostics in pathology departments. These are, therefore, the most accessible research sources in pathology archives. In this study we investigated whether we can apply a targeted and quantitative parallel reaction monitoring (PRM) method for FFPE tissue samples in a sensitive and reproducible way. The feasibility of this technical approach was demonstrated for normal brain and glioblastoma multiforme tissues. Two methods were used: PRM measurement of a tryptic digest without phosphopeptide enrichment (Direct-PRM) and after Fe-NTA phosphopeptide enrichment (Fe-NTA-PRM). With these two methods, the phosphorylation ratio could be determined for four selected peptide pairs that originate from neuroblast differentiation-associated protein (AHNAK S5448-p), calcium/calmodulin-dependent protein kinase type II subunit delta (CAMK2D T337-p), eukaryotic translation initiation factor 4B (EIF4B S93-p), and epidermal growth factor receptor (EGFR S1166-p). In normal brain FFPE tissues, the Fe-NTA-PRM method enabled the quantification of targeted phosphorylated peptides with high reproducibility (CV < 14%). Our results indicate that formalin fixation does not impede relative quantification of a phospho-site and its phosphorylation ratio in FFPE tissues. The developed workflow combining these methods opens ways to study archival FFPE tissues for phosphorylation ratio determination in proteins.
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Affiliation(s)
- Lona Zeneyedpour
- Department of Neurology, Erasmus MC, 3000 CA Rotterdam, The Netherlands
| | - Christoph Stingl
- Department of Neurology, Erasmus MC, 3000 CA Rotterdam, The Netherlands
| | | | - Dana A M Mustafa
- Department of Pathology, Erasmus MC, 3000 CA Rotterdam, The Netherlands
| | - Johan M Kros
- Department of Pathology, Erasmus MC, 3000 CA Rotterdam, The Netherlands
| | - Theo M Luider
- Department of Neurology, Erasmus MC, 3000 CA Rotterdam, The Netherlands
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30
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Buczak K, Kirkpatrick JM, Truckenmueller F, Santinha D, Ferreira L, Roessler S, Singer S, Beck M, Ori A. Spatially resolved analysis of FFPE tissue proteomes by quantitative mass spectrometry. Nat Protoc 2020; 15:2956-2979. [PMID: 32737464 DOI: 10.1038/s41596-020-0356-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Accepted: 05/14/2020] [Indexed: 01/09/2023]
Abstract
Bottom-up mass spectrometry-based proteomics relies on protein digestion and peptide purification. The application of such methods to broadly available clinical samples such as formalin-fixed and paraffin-embedded (FFPE) tissues requires reversal of chemical crosslinking and the removal of reagents that are incompatible with mass spectrometry. Here, we describe in detail a protocol that combines tissue disruption by ultrasonication, heat-induced antigen retrieval and two alternative methods for efficient detergent removal to enable quantitative proteomic analysis of limited amounts of FFPE material. To show the applicability of our approach, we used hepatocellular carcinoma (HCC) as a model system. By combining the described protocol with laser-capture microdissection, we were able to quantify the intra-tumor heterogeneity of a tumor specimen on the proteome level using a single slide with tissue of 10-µm thickness. We also demonstrate broader applicability to other tissues, including human gallbladder and heart. The procedure described in this protocol can be completed within 8 d.
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Affiliation(s)
- Katarzyna Buczak
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.,Biozentrum, University of Basel, Basel, Switzerland
| | - Joanna M Kirkpatrick
- Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.,Proteomics Science Technology Platform, The Francis Crick Institute, London, UK
| | | | - Deolinda Santinha
- Center for Neuroscience and Cell Biology and Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Lino Ferreira
- Center for Neuroscience and Cell Biology and Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Stephanie Roessler
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Stephan Singer
- Institute of Pathology, University Hospital Tuebingen, Tuebingen, Germany
| | - Martin Beck
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany. .,Department of Molecular Sociology, Max Planck Institute of Biophysics, Frankfurt am Main, Germany.
| | - Alessandro Ori
- Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.
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31
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Dewez F, Oejten J, Henkel C, Hebeler R, Neuweger H, De Pauw E, Heeren RMA, Balluff B. MS Imaging‐Guided Microproteomics for Spatial Omics on a Single Instrument. Proteomics 2020; 20:e1900369. [DOI: 10.1002/pmic.201900369] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 07/13/2020] [Indexed: 11/10/2022]
Affiliation(s)
- Frédéric Dewez
- Maastricht MultiModal Molecular Imaging (M4I) Institute Division of Imaging Mass Spectrometry Maastricht University Universiteitssingel 50 Maastricht 6229 ER The Netherlands
- Mass Spectrometry Laboratory (MSLab) Department of Chemistry University of Liège Liège 4000 Belgium
| | | | | | | | | | - Edwin De Pauw
- Mass Spectrometry Laboratory (MSLab) Department of Chemistry University of Liège Liège 4000 Belgium
| | - Ron M. A. Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute Division of Imaging Mass Spectrometry Maastricht University Universiteitssingel 50 Maastricht 6229 ER The Netherlands
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging (M4I) Institute Division of Imaging Mass Spectrometry Maastricht University Universiteitssingel 50 Maastricht 6229 ER The Netherlands
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32
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X-ray Micro-Computed Tomography: An Emerging Technology to Analyze Vascular Calcification in Animal Models. Int J Mol Sci 2020; 21:ijms21124538. [PMID: 32630604 PMCID: PMC7352990 DOI: 10.3390/ijms21124538] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/16/2020] [Accepted: 06/19/2020] [Indexed: 12/15/2022] Open
Abstract
Vascular calcification describes the formation of mineralized tissue within the blood vessel wall, and it is highly associated with increased cardiovascular morbidity and mortality in patients with chronic kidney disease, diabetes, and atherosclerosis. In this article, we briefly review different rodent models used to study vascular calcification in vivo, and critically assess the strengths and weaknesses of the current techniques used to analyze and quantify calcification in these models, namely 2-D histology and the o-cresolphthalein assay. In light of this, we examine X-ray micro-computed tomography (µCT) as an emerging complementary tool for the analysis of vascular calcification in animal models. We demonstrate that this non-destructive technique allows us to simultaneously quantify and localize calcification in an intact vessel in 3-D, and we consider recent advances in µCT sample preparation techniques. This review also discusses the potential to combine 3-D µCT analyses with subsequent 2-D histological, immunohistochemical, and proteomic approaches in correlative microscopy workflows to obtain rich, multifaceted information on calcification volume, calcification load, and signaling mechanisms from within the same arterial segment. In conclusion we briefly discuss the potential use of µCT to visualize and measure vascular calcification in vivo in real-time.
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33
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Gasparri R, Sedda G, Noberini R, Bonaldi T, Spaggiari L. Clinical Application of Mass Spectrometry-Based Proteomics in Lung Cancer Early Diagnosis. Proteomics Clin Appl 2020; 14:e1900138. [PMID: 32418314 DOI: 10.1002/prca.201900138] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/06/2020] [Indexed: 12/18/2022]
Abstract
The current knowledge on proteomic biomarker analysis for the early diagnosis of lung cancer is summarized, underlining the diversity among the results and the current interest in translating research results into clinical practice. A MEDLINE/PubMed literature search to retrieve all the papers published in the last 10 years is performed. Proteomics studies on lung cancer have gathered evidence on the potential role of biomarkers in early diagnosis. Although promising, none of them have proved to be sufficiently reliable to achieve validation. Future research should evolve toward a multipanel analysis of proteins, considering the possibility that individual biomarkers might not be specific enough to diagnose lung cancer, but could be related to oncological conditions.
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Affiliation(s)
- Roberto Gasparri
- Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Via Giuseppe Ripamonti 435, Milan, 20141, Italy
| | - Giulia Sedda
- Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Via Giuseppe Ripamonti 435, Milan, 20141, Italy
| | - Roberta Noberini
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Via Adamello 16, Milan, 20139, Italy
| | - Tiziana Bonaldi
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Via Adamello 16, Milan, 20139, Italy
| | - Lorenzo Spaggiari
- Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Via Giuseppe Ripamonti 435, Milan, 20141, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Via Festa del Perdono, Milan, 7 - 20122, Italy
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34
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Herrera JA, Mallikarjun V, Rosini S, Montero MA, Lawless C, Warwood S, O’Cualain R, Knight D, Schwartz MA, Swift J. Laser capture microdissection coupled mass spectrometry (LCM-MS) for spatially resolved analysis of formalin-fixed and stained human lung tissues. Clin Proteomics 2020; 17:24. [PMID: 32565759 PMCID: PMC7302139 DOI: 10.1186/s12014-020-09287-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 06/11/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Haematoxylin and eosin (H&E)-which respectively stain nuclei blue and other cellular and stromal material pink-are routinely used for clinical diagnosis based on the identification of morphological features. A richer characterization can be achieved by laser capture microdissection coupled to mass spectrometry (LCM-MS), giving an unbiased assay of the proteins that make up the tissue. However, the process of fixing and H&E staining of tissues provides challenges with standard sample preparation methods for mass spectrometry, resulting in low protein yield. Here we describe a microproteomics technique to analyse H&E-stained, formalin-fixed paraffin-embedded (FFPE) tissues. METHODS Herein, we utilize heat extraction, physical disruption, and in column digestion for the analysis of H&E stained FFPE tissues. Micro-dissected morphologically normal human lung alveoli (0.082 mm3) and human lung blood vessels (0.094 mm3) from FFPE-fixed H&E-stained sections from Idiopathic Pulmonary Fibrosis (IPF) specimens (n = 3 IPF specimens) were then subject to a qualitative and then quantitative proteomics approach using BayesENproteomics. In addition, we tested the sensitivity of this method by processing and analysing a range of micro-dissected human lung blood vessel tissue volumes. RESULTS This approach yields 1252 uniquely expressed proteins (at a protein identification threshold of 3 unique peptides) with 892 differentially expressed proteins between these regions. In accord with prior knowledge, our methodology approach confirms that human lung blood vessels are enriched with smoothelin, CNN1, ITGA7, MYH11, TAGLN, and PTGIS; whereas morphologically normal human lung alveoli are enriched with cytokeratin-7, -8, -18, -19, 14, and -17. In addition, we identify a total of 137 extracellular matrix (ECM) proteins and immunohistologically validate that laminin subunit beta-1 localizes to morphologically normal human lung alveoli and tenascin localizes to human lung blood vessels. Lastly, we show that this micro-proteomics technique can be applied to tissue volumes as low as 0.0125 mm3. CONCLUSION Herein we show that our multistep sample preparation methodology of LCM-MS can identify distinct, characteristic proteomic compositions of anatomical features within complex fixed and stained tissues.
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Affiliation(s)
- Jeremy A. Herrera
- The Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL UK
| | - Venkatesh Mallikarjun
- The Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL UK
| | - Silvia Rosini
- The Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL UK
| | - Maria Angeles Montero
- Histopathology Department, Manchester University NHS Foundation Trust, Southmoor Road, Wythenshawe, Manchester, M23 9LT UK
| | - Craig Lawless
- The Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL UK
| | - Stacey Warwood
- The Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL UK
| | - Ronan O’Cualain
- The Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL UK
| | - David Knight
- The Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL UK
| | - Martin A. Schwartz
- The Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL UK
| | - Joe Swift
- The Wellcome Centre for Cell-Matrix Research, University of Manchester, Manchester, M13 9PT UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9PL UK
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Arafah K, Kriegsmann M, Renner M, Lasitschka F, Fresnais M, Kriegsmann K, von Winterfeld M, Goeppert B, Kriegsmann J, Casadonte R, Kazdal D, Bulet P, Longuespée R. Microproteomics and Immunohistochemistry Reveal Differences in Aldo-Keto Reductase Family 1 Member C3 in Tissue Specimens of Ulcerative Colitis and Crohn's Disease. Proteomics Clin Appl 2020; 14:e1900110. [PMID: 32003543 DOI: 10.1002/prca.201900110] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 12/11/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE Differential diagnosis of ulcerative colitis (UC) and Crohn's disease (CD) is of utmost importance for the decision making of respective therapeutic treatment strategies but in about 10-15% of cases, a clinical and histopathological assessment does not lead to a definite diagnosis. The aim of the study is to characterize proteomic differences between UC and CD. EXPERIMENTAL DESIGN Microproteomics is performed on formalin-fixed paraffin-embedded colonic tissue specimens from 9 UC and 9 CD patients. Protein validation is performed using immunohistochemistry (IHC) (nUC =51, nCD =62, nCTRL =10) followed by digital analysis. RESULTS Microproteomic analyses reveal eight proteins with higher abundance in CD compared to UC including proteins related to neutrophil activity and damage-associated molecular patterns. Moreover, one protein, Aldo-keto reductase family 1 member C3 (AKR1C3), is present in eight out of nine CD and absent in all UC samples. Digital IHC analysis reveal a higher percentage and an increased expression intensity of AKR1C3-positive epithelial cells in CD compared to UC and in controls compared to inflammatory bowel disease (IBD). CONCLUSION AND CLINICAL RELEVANCE Overall, the results suggest that microproteomics is an adequate tool to highlight protein patterns in IBD. IHC and digital pathology might support future differential diagnosis of UC and CD.
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Affiliation(s)
- Karim Arafah
- Platform BioPark Archamps, MassOmics Services, 74160, Archamps, France
| | - Mark Kriegsmann
- Institute of Pathology, University of Heidelberg, 69120, Heidelberg, Germany
| | - Marcus Renner
- Institute of Pathology, University of Heidelberg, 69120, Heidelberg, Germany
| | - Felix Lasitschka
- Institute of Pathology, University of Heidelberg, 69120, Heidelberg, Germany
| | - Margaux Fresnais
- Department of Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg, 69120, Heidelberg, Germany.,German Cancer Consortium (DKTK)-German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Katharina Kriegsmann
- Department of Hematology, Oncology and Rheumatology, University of Heidelberg, 69120, Heidelberg, Germany
| | | | - Benjamin Goeppert
- Institute of Pathology, University of Heidelberg, 69120, Heidelberg, Germany
| | - Jörg Kriegsmann
- Molecular Pathology Trier, 54296, Trier, Germany.,Proteopath, 54296, Trier, Germany
| | | | - Daniel Kazdal
- Institute of Pathology, University of Heidelberg, 69120, Heidelberg, Germany
| | - Philippe Bulet
- Platform BioPark Archamps, MassOmics Services, 74160, Archamps, France.,CR Université Grenoble Alpes, Institute for Advanced Biosciences, Inserm U1209, CNRS UMR 5309, Team Immunologie Analytique des Pathologies Chroniques, 38700, La Tronche, France
| | - Rémi Longuespée
- Department of Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg, 69120, Heidelberg, Germany
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36
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Marchione DM, Ilieva I, Devins K, Sharpe D, Pappin DJ, Garcia BA, Wilson JP, Wojcik JB. HYPERsol: High-Quality Data from Archival FFPE Tissue for Clinical Proteomics. J Proteome Res 2020; 19:973-983. [PMID: 31935107 DOI: 10.1021/acs.jproteome.9b00686] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Massive formalin-fixed, paraffin-embedded (FFPE) tissue archives exist worldwide, representing an invaluable resource for clinical proteomics research. However, current protocols for FFPE proteomics lack standardization, efficiency, reproducibility, and scalability. Here we present high-yield protein extraction and recovery by direct solubilization (HYPERsol), an optimized workflow using ultrasonication and S-Trap sample processing that enables proteome coverage and quantification from FFPE samples comparable to that achieved from flash-frozen tissue (average R = 0.936). When applied to archival samples, HYPERsol resulted in high-quality data from FFPE specimens in storage for up to 17 years, and may enable the discovery of new immunohistochemical markers.
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Affiliation(s)
- Dylan M Marchione
- Epigenetics Institute, Department of Biochemistry & Biophysics , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
| | - Ilyana Ilieva
- Department of Pathology and Laboratory Medicine , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
| | - Kyle Devins
- Department of Pathology and Laboratory Medicine , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
| | - Danielle Sharpe
- Department of Pathology and Laboratory Medicine , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
| | - Darryl J Pappin
- Cold Spring Harbor Laboratory , Cold Spring Harbor , New York 11724 , United States.,ProtiFi, LLC , Huntington , New York 11743 , United States
| | - Benjamin A Garcia
- Epigenetics Institute, Department of Biochemistry & Biophysics , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
| | - John P Wilson
- ProtiFi, LLC , Huntington , New York 11743 , United States
| | - John B Wojcik
- Department of Pathology and Laboratory Medicine , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
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37
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Wang Z, Zhang L, He L, Cui D, Liu C, Yin L, Zhang M, Jiang L, Gong Y, Wu W, Liu B, Li X, Cram DS, Liu D. Low-depth whole genome sequencing reveals copy number variations associated with higher pathologic grading and more aggressive subtypes of lung non-mucinous adenocarcinoma. Chin J Cancer Res 2020; 32:334-346. [PMID: 32694898 PMCID: PMC7369181 DOI: 10.21147/j.issn.1000-9604.2020.03.05] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Objective Histology grade, subtypes and TNM stage of lung adenocarcinomas are useful predictors of prognosis and survival. The aim of the study was to investigate the relationship between chromosomal instability, morphological subtypes and the grading system used in lung non-mucinous adenocarcinoma (LNMA). Methods We developed a whole genome copy number variation (WGCNV) scoring system and applied next generation sequencing to evaluate CNVs present in 91 LNMA tumor samples. Results Higher histological grades, aggressive subtypes and more advanced TNM staging were associated with an increased WGCNV score, particularly in CNV regions enriched for tumor suppressor genes and oncogenes. In addition, we demonstrate that 24-chromosome CNV profiling can be performed reliably from specific cell types (<100 cells) isolated by sample laser capture microdissection. Conclusions Our findings suggest that the WGCNV scoring system we developed may have potential value as an adjunct test for predicting the prognosis of patients diagnosed with LNMA.
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Affiliation(s)
- Zheng Wang
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Lin Zhang
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Lei He
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Di Cui
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Chenglong Liu
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Liangyu Yin
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Min Zhang
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Lei Jiang
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
| | - Yuyan Gong
- Berry Genomics Corporation, Beijing 102206, China
| | - Wang Wu
- Berry Genomics Corporation, Beijing 102206, China
| | - Bi Liu
- Berry Genomics Corporation, Beijing 102206, China
| | - Xiaoyu Li
- Berry Genomics Corporation, Beijing 102206, China
| | - David S Cram
- Berry Genomics Corporation, Beijing 102206, China
| | - Dongge Liu
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
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38
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Dapic I, Baljeu-Neuman L, Uwugiaren N, Kers J, Goodlett DR, Corthals GL. Proteome analysis of tissues by mass spectrometry. MASS SPECTROMETRY REVIEWS 2019; 38:403-441. [PMID: 31390493 DOI: 10.1002/mas.21598] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 06/17/2019] [Indexed: 06/10/2023]
Abstract
Tissues and biofluids are important sources of information used for the detection of diseases and decisions on patient therapies. There are several accepted methods for preservation of tissues, among which the most popular are fresh-frozen and formalin-fixed paraffin embedded methods. Depending on the preservation method and the amount of sample available, various specific protocols are available for tissue processing for subsequent proteomic analysis. Protocols are tailored to answer various biological questions, and as such vary in lysis and digestion conditions, as well as duration. The existence of diverse tissue-sample protocols has led to confusion in how to choose the best protocol for a given tissue and made it difficult to compare results across sample types. Here, we summarize procedures used for tissue processing for subsequent bottom-up proteomic analysis. Furthermore, we compare protocols for their variations in the composition of lysis buffers, digestion procedures, and purification steps. For example, reports have shown that lysis buffer composition plays an important role in the profile of extracted proteins: the most common are tris(hydroxymethyl)aminomethane, radioimmunoprecipitation assay, and ammonium bicarbonate buffers. Although, trypsin is the most commonly used enzyme for proteolysis, in some protocols it is supplemented with Lys-C and/or chymotrypsin, which will often lead to an increase in proteome coverage. Data show that the selection of the lysis procedure might need to be tissue-specific to produce distinct protocols for individual tissue types. Finally, selection of the procedures is also influenced by the amount of sample available, which range from biopsies or the size of a few dozen of mm2 obtained with laser capture microdissection to much larger amounts that weight several milligrams.
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Affiliation(s)
- Irena Dapic
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
| | | | - Naomi Uwugiaren
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
| | - Jesper Kers
- Department of Pathology, Amsterdam Infection & Immunity Institute (AI&II), Amsterdam Cardiovascular Sciences (ACS), Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - David R Goodlett
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
- University of Maryland, 20N. Pine Street, Baltimore, MD 21201
| | - Garry L Corthals
- van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
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39
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Dewez F, Martin-Lorenzo M, Herfs M, Baiwir D, Mazzucchelli G, De Pauw E, Heeren RMA, Balluff B. Precise co-registration of mass spectrometry imaging, histology, and laser microdissection-based omics. Anal Bioanal Chem 2019; 411:5647-5653. [PMID: 31263919 PMCID: PMC6704276 DOI: 10.1007/s00216-019-01983-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 05/28/2019] [Accepted: 06/14/2019] [Indexed: 11/26/2022]
Abstract
Mass spectrometry imaging (MSI) is an analytical technique for the unlabeled and multiplex imaging of molecules in biological tissue sections. It therefore enables the spatial and molecular annotations of tissues complementary to histology. It has already been shown that MSI can guide subsequent material isolation technologies such as laser microdissection (LMD) to enable a more in-depth molecular characterization of MSI-highlighted tissue regions. However, with MSI now reaching spatial resolutions at the single-cell scale, there is a need for a precise co-registration between MSI and the LMD. As proof-of-principle, MSI of lipids was performed on a breast cancer tissue followed by a segmentation of the data to detect molecularly distinct segments within its tumor areas. After image processing of the segmentation results, the coordinates of the MSI-detected segments were passed to the LMD system by three co-registration steps. The errors of each co-registration step were quantified and the total error was found to be less than 13 μm. With this link established, MSI data can now accurately guide LMD to excise MSI-defined regions of interest for subsequent extract-based analyses. In our example, the excised tissue material was then subjected to ultrasensitive microproteomics in order to determine predominant molecular mechanisms in each of the MSI-highlighted intratumor segments. This work shows how the strengths of MSI, histology, and extract-based omics can be combined to enable a more comprehensive molecular characterization of in situ biological processes.
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Affiliation(s)
- Frédéric Dewez
- Maastricht Multimodal Molecular Imaging Institute (M4I), Maastricht University, Universiteitssingel 50, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- Mass Spectrometry Laboratory (L.S.M), University of Liège, 4000, Liège, Belgium
| | - Marta Martin-Lorenzo
- Maastricht Multimodal Molecular Imaging Institute (M4I), Maastricht University, Universiteitssingel 50, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
| | - Michael Herfs
- Laboratory of Experimental Pathology, GIGA-Cancer, University of Liège, Avenue de l'Hôpital 11, 4000, Liège, Belgium
| | - Dominique Baiwir
- Mass Spectrometry Laboratory (L.S.M), University of Liège, 4000, Liège, Belgium
| | | | - Edwin De Pauw
- Mass Spectrometry Laboratory (L.S.M), University of Liège, 4000, Liège, Belgium
| | - Ron M A Heeren
- Maastricht Multimodal Molecular Imaging Institute (M4I), Maastricht University, Universiteitssingel 50, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
| | - Benjamin Balluff
- Maastricht Multimodal Molecular Imaging Institute (M4I), Maastricht University, Universiteitssingel 50, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
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40
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Giusti L, Angeloni C, Lucacchini A. Update on proteomic studies of formalin-fixed paraffin-embedded tissues. Expert Rev Proteomics 2019; 16:513-520. [DOI: 10.1080/14789450.2019.1615452] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Laura Giusti
- School of Pharmacy, University of Camerino, Camerino, Italy
| | | | - Antonio Lucacchini
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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41
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Longuespée R, Casadonte R, Schwamborn K, Kriegsmann M. Proteomics in Pathology: The Special Issue. Proteomics Clin Appl 2019; 13:e1800167. [PMID: 30730117 DOI: 10.1002/prca.201800167] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Rémi Longuespée
- Institute of Pathology, University of Heidelberg, 69120, Heidelberg, Germany
| | | | - Kristina Schwamborn
- Institute of Pathology, Technical University of Munich, 81675, Munich, Germany
| | - Mark Kriegsmann
- Institute of Pathology, University of Heidelberg, 69120, Heidelberg, Germany
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42
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Schmitt ND, Rawlins CM, Randall EC, Wang X, Koller A, Auclair JR, Kowalski JM, Kowalski PJ, Luther E, Ivanov AR, Agar NY, Agar JN. Genetically Encoded Fluorescent Proteins Enable High-Throughput Assignment of Cell Cohorts Directly from MALDI-MS Images. Anal Chem 2019; 91:3810-3817. [PMID: 30839199 PMCID: PMC6827431 DOI: 10.1021/acs.analchem.8b03454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) provides a unique in situ chemical profile that can include drugs, nucleic acids, metabolites, lipids, and proteins. MSI of individual cells (of a known cell type) affords a unique insight into normal and disease-related processes and is a prerequisite for combining the results of MSI and other single-cell modalities (e.g. mass cytometry and next-generation sequencing). Technological barriers have prevented the high-throughput assignment of MSI spectra from solid tissue preparations to their cell type. These barriers include obtaining a suitable cell-identifying image (e.g. immunohistochemistry) and obtaining sufficiently accurate registration of the cell-identifying and MALDI-MS images. This study introduces a technique that overcame these barriers by assigning cell type directly from mass spectra. We hypothesized that, in MSI from mice with a defined fluorescent protein expression pattern, the fluorescent protein's molecular ion could be used to identify cell cohorts. A method was developed for the purification of enhanced yellow fluorescent protein (EYFP) from mice. To determine EYFP's molecular mass for MSI studies, we performed intact mass analysis and characterized the protein's primary structure and post-translational modifications through various techniques. MALDI-MSI methods were developed to enhance the detection of EYFP in situ, and by extraction of EYFP's molecular ion from MALDI-MS images, automated, whole-image assignment of cell cohorts was achieved. This method was validated using a well-characterized mouse line that expresses EYFP in motor and sensory neurons and should be applicable to hundreds of commercially available mice (and other animal) strains comprising a multitude of cell-specific fluorescent labels.
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Affiliation(s)
- Nicholas D. Schmitt
- Department of Chemistry and Chemical Biology, and Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, USA
- These authors contributed equally to this work
| | - Catherine M. Rawlins
- Department of Chemistry and Chemical Biology, and Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, USA
- These authors contributed equally to this work
| | - Elizabeth C. Randall
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Xianzhe Wang
- Department of Chemistry and Chemical Biology, and Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, USA
| | - Antonius Koller
- Department of Chemistry and Chemical Biology, and Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, USA
| | - Jared R. Auclair
- Department of Chemistry and Chemical Biology, and Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, USA
- Biopharmaceutical Analysis Training Laboratory (BATL), Northeastern University Innovation Campus, Burlington, MA, 01803, USA
| | | | | | - Ed Luther
- Department of Pharmaceutical Sciences, Northeastern University, Boston, MA, 02115, USA
| | - Alexander R. Ivanov
- Department of Chemistry and Chemical Biology, and Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, USA
| | - Nathalie Y.R. Agar
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Neurosurgery, Brigham and Women’s Hospital, Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA
| | - Jeffrey N. Agar
- Department of Chemistry and Chemical Biology, and Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, 02115, USA
- Department of Pharmaceutical Sciences, Northeastern University, Boston, MA, 02115, USA
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Rubens U, Hoyoux R, Vanosmael L, Ouras M, Tasset M, Hamilton C, Longuespée R, Marée R. Cytomine: Toward an Open and Collaborative Software Platform for Digital Pathology Bridged to Molecular Investigations. Proteomics Clin Appl 2018; 13:e1800057. [PMID: 30520559 DOI: 10.1002/prca.201800057] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 10/31/2018] [Indexed: 12/16/2022]
Abstract
PURPOSE Digital histology is being increasingly used in research and clinical applications. In parallel, new tissue imaging methods (e.g., imaging mass spectrometry) are currently regarded as very promising approaches for better molecular diagnosis in pathology. However, these new data sources are still often underexploited because of the lack of collaborative software to share and correlate information for multimodal analysis. EXPERIMENTAL DESIGN The open science paradigm is followed to develop new features in the web-based Cytomine software to support next-generation digital pathology bridged to molecular investigations. RESULTS New open-source developments allow to explore whole-slide classical histology with Matrix Assisted Laser Desorption Ionisation (MALDI) imaging and to support preprocessing for biomarker discovery using laser microdissection-based microproteomics. CONCLUSIONS AND CLINICAL RELEVANCE The updated version of Cytomine is the first open and web-based tool to enable sharing data from classical histology, molecular imaging, and cell counting for proteomics preprocessing. It holds good promise to fulfill imminent needs in molecular histopathology.
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Affiliation(s)
- Ulysse Rubens
- Montefiore Institute, Department of Electrical Engineering and Computer Science, University of Liège, 4000, Liège, Sart-Tilman, Belgium
| | | | - Laurent Vanosmael
- Montefiore Institute, Department of Electrical Engineering and Computer Science, University of Liège, 4000, Liège, Sart-Tilman, Belgium
| | - Mehdy Ouras
- Haute École de la Province de Liège, 4100, Liège, Belgium
| | - Maxime Tasset
- Montefiore Institute, Department of Electrical Engineering and Computer Science, University of Liège, 4000, Liège, Sart-Tilman, Belgium
| | | | - Rémi Longuespée
- Institute of Pathology, University of Heidelberg, 69120, Heidelberg, Germany
| | - Raphaël Marée
- Montefiore Institute, Department of Electrical Engineering and Computer Science, University of Liège, 4000, Liège, Sart-Tilman, Belgium
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Kriegsmann J, Kriegsmann M, Kriegsmann K, Longuespée R, Deininger SO, Casadonte R. MALDI Imaging for Proteomic Painting of Heterogeneous Tissue Structures. Proteomics Clin Appl 2018; 13:e1800045. [PMID: 30471204 DOI: 10.1002/prca.201800045] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 11/07/2018] [Indexed: 12/17/2022]
Abstract
PURPOSE To present matrix-assisted laser desorption/ionization (MALDI) imaging as a powerful method to highlight various tissue compartments. EXPERIMENTAL DESIGN Formalin-fixed paraffin-embedded (FFPE) tissue of a uterine cervix, a pancreas, a duodenum, a teratoma, and a breast cancer tissue microarray (TMA) are analyzed by MALDI imaging and by immunohistochemistry (IHC). Peptide images are visualized and analyzed using FlexImaging and SCiLS Lab software. Different histological compartments are compared by hierarchical cluster analysis. RESULTS MALDI imaging highlights tissue compartments comparable to IHC. In cervical tissue, normal epithelium can be discerned from intraepithelial neoplasia. In pancreatic and duodenal tissues, m/z signals from lymph follicles, vessels, duodenal mucosa, normal pancreas, and smooth muscle structures can be visualized. In teratoma, specific m/z signals to discriminate squamous epithelium, sebaceous glands, and soft tissue are detected. Additionally, tumor tissue can be discerned from the surrounding stroma in small tissue cores of TMAs. Proteomic data acquisition of complex tissue compartments in FFPE tissue requires less than 1 h with recent mass spectrometers. CONCLUSION AND CLINICAL RELEVANCE The simultaneous characterization of morphological and proteomic features in the same tissue section adds proteomic information for histopathological diagnostics, which relies at present on conventional hematoxylin and eosin staining, histochemical, IHC and molecular methods.
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Affiliation(s)
- Jörg Kriegsmann
- Proteopath GmbH, Trier 54296, Germany.,MVZ for Histology, Cytology and Molecular Diagnostics, Trier 54296, Germany
| | - Mark Kriegsmann
- Institute of Pathology, Heidelberg University, Heidelberg 69120, Germany
| | - Katharina Kriegsmann
- Department of Hematology, Oncology, and Rheumatology, Heidelberg University, Heidelberg 69120, Germany
| | - Rémi Longuespée
- Institute of Pathology, Heidelberg University, Heidelberg 69120, Germany
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Dilillo M, Heijs B, McDonnell LA. Mass spectrometry imaging: How will it affect clinical research in the future? Expert Rev Proteomics 2018; 15:709-716. [PMID: 30203995 DOI: 10.1080/14789450.2018.1521278] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Mass spectrometry imaging (MSI) is a label free, multiplex imaging technology able to simultaneously record the distributions of 100's to 1000's of species, and which may be configured to study metabolites, lipids, glycans, peptides, and proteins simply by changing the tissue preparation protocol. Areas covered: The capability of MSI to complement established histopathological practice through the identification of biomarkers for differential diagnosis, patient prognosis, and response to therapy; the capability of MSI to annotate tissues on the basis of each pixel's mass spectral signature; the development of reproducible MSI through multicenter studies. Expert commentary: We discuss how MSI can be combined with microsampling/microdissection technologies in order to investigate, with more depth of coverage, the molecular changes uncovered by MSI.
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Affiliation(s)
| | - Bram Heijs
- b Center for Proteomics and Metabolomics , Leiden University Medical Center , Leiden , The Netherlands
| | - Liam A McDonnell
- a Fondazione Pisana per la Scienza ONLUS , Pisa , Italy.,b Center for Proteomics and Metabolomics , Leiden University Medical Center , Leiden , The Netherlands
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46
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Pottier C, Kriegsmann M, Alberts D, Smargiasso N, Baiwir D, Mazzucchelli G, Herfs M, Fresnais M, Casadonte R, Delvenne P, Pauw E, Longuespée R. Microproteomic Profiling of High‐Grade Squamous Intraepithelial Lesion of the Cervix: Insight into Biological Mechanisms of Dysplasia and New Potential Diagnostic Markers. Proteomics Clin Appl 2018; 13:e1800052. [DOI: 10.1002/prca.201800052] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 07/06/2018] [Indexed: 01/10/2023]
Affiliation(s)
- Charles Pottier
- Mass Spectrometry LaboratoryGIGA‐ResearchDepartment of ChemistryUniversity of Liège Liège Belgium
- Department of Medical OncologyUniversity of Liège Liège Belgium
| | - Mark Kriegsmann
- Institute of pathologyUniversity of Heidelberg Heidelberg Germany
| | - Deborah Alberts
- Mass Spectrometry LaboratoryGIGA‐ResearchDepartment of ChemistryUniversity of Liège Liège Belgium
| | - Nicolas Smargiasso
- Mass Spectrometry LaboratoryGIGA‐ResearchDepartment of ChemistryUniversity of Liège Liège Belgium
| | | | - Gabriel Mazzucchelli
- Mass Spectrometry LaboratoryGIGA‐ResearchDepartment of ChemistryUniversity of Liège Liège Belgium
| | - Michael Herfs
- Laboratory of Experimental PathologyGIGA‐CancerDepartment of PathologyUniversity of Liège Liège Belgium
| | - Margaux Fresnais
- Department of Clinical Pharmacology and PharmacoepidemiologyUniversity of Heidelberg Heidelberg Germany
- German Cancer Consortium (DKTK)‐German Cancer Research Center (DKFZ) Heidelberg Germany
| | | | - Philippe Delvenne
- Laboratory of Experimental PathologyGIGA‐CancerDepartment of PathologyUniversity of Liège Liège Belgium
| | - Edwin Pauw
- Mass Spectrometry LaboratoryGIGA‐ResearchDepartment of ChemistryUniversity of Liège Liège Belgium
| | - Rémi Longuespée
- Mass Spectrometry LaboratoryGIGA‐ResearchDepartment of ChemistryUniversity of Liège Liège Belgium
- Institute of pathologyUniversity of Heidelberg Heidelberg Germany
- Proteopath GmbH Trier Germany
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47
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Reglodi D, Jungling A, Longuespée R, Kriegsmann J, Casadonte R, Kriegsmann M, Juhasz T, Bardosi S, Tamas A, Fulop BD, Kovacs K, Nagy Z, Sparks J, Miseta A, Mazzucchelli G, Hashimoto H, Bardosi A. Accelerated pre-senile systemic amyloidosis in PACAP knockout mice - a protective role of PACAP in age-related degenerative processes. J Pathol 2018; 245:478-490. [PMID: 29774542 PMCID: PMC6055756 DOI: 10.1002/path.5100] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 04/10/2018] [Accepted: 05/12/2018] [Indexed: 12/14/2022]
Abstract
Dysregulation of neuropeptides may play an important role in aging‐induced impairments. Among them, pituitary adenylate cyclase‐activating polypeptide (PACAP) is a potent cytoprotective peptide that provides an endogenous control against a variety of tissue‐damaging stimuli. We hypothesized that the progressive decline of PACAP throughout life and the well‐known general cytoprotective effects of PACAP lead to age‐related pathophysiological changes in PACAP deficiency, supported by the increased vulnerability to various stressors of animals partially or totally lacking PACAP. Using young and aging CD1 PACAP knockout (KO) and wild type (WT) mice, we demonstrated pre‐senile amyloidosis in young PACAP KO animals and showed that senile amyloidosis appeared accelerated, more generalized, more severe, and affected more individuals. Histopathology showed age‐related systemic amyloidosis with mainly kidney, spleen, liver, skin, thyroid, intestinal, tracheal, and esophageal involvement. Mass spectrometry‐based proteomic analysis, reconfirmed with immunohistochemistry, revealed that apolipoprotein‐AIV was the main amyloid protein in the deposits together with several accompanying proteins. Although the local amyloidogenic protein expression was disturbed in KO animals, no difference was found in laboratory lipid parameters, suggesting a complex pathway leading to increased age‐related degeneration with amyloid deposits in the absence of PACAP. In spite of no marked inflammatory histological changes or blood test parameters, we detected a disturbed cytokine profile that possibly creates a pro‐inflammatory milieu favoring amyloid deposition. In summary, here we describe accelerated systemic senile amyloidosis in PACAP gene‐deficient mice, which might indicate an early aging phenomenon in this mouse strain. Thus, PACAP KO mice could serve as a model of accelerated aging with human relevance. © 2018 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Dora Reglodi
- Department of Anatomy, MTA-PTE PACAP Research Group, University of Pecs Medical School, Pécs, Hungary
| | - Adel Jungling
- Department of Anatomy, MTA-PTE PACAP Research Group, University of Pecs Medical School, Pécs, Hungary
| | - Rémi Longuespée
- Institute of Pathology, University of Heidelberg, Heidelberg, Germany
| | - Joerg Kriegsmann
- Center for Histology, Cytology and Molecular Diagnostics, Trier, Germany.,Proteopath GmbH, Trier, Germany
| | | | - Mark Kriegsmann
- Institute of Pathology, University of Heidelberg, Heidelberg, Germany
| | - Tamas Juhasz
- Department of Anatomy, Histology and Embryology, Faculty of Medicine, University of Debrecen, Hungary
| | - Sebastian Bardosi
- Center for Histology, Cytology and Molecular Diagnostics, Trier, Germany
| | - Andrea Tamas
- Department of Anatomy, MTA-PTE PACAP Research Group, University of Pecs Medical School, Pécs, Hungary
| | - Balazs Daniel Fulop
- Department of Anatomy, MTA-PTE PACAP Research Group, University of Pecs Medical School, Pécs, Hungary
| | - Krisztina Kovacs
- Department of Biochemistry and Medical Chemistry, University of Pecs Medical School, Pécs, Hungary
| | - Zsuzsanna Nagy
- Second Department of Internal Medicine, University of Pecs Medical School, Pécs, Hungary
| | - Jason Sparks
- Department of Anatomy, MTA-PTE PACAP Research Group, University of Pecs Medical School, Pécs, Hungary
| | - Attila Miseta
- Department of Laboratory Medicine and Szentagothai Research Centre, University of Pecs Medical School, Pécs, Hungary
| | - Gabriel Mazzucchelli
- Laboratory of Mass Spectrometry (LSM) - MolSys, Department of Chemistry, University of Liège, Belgium
| | - Hitoshi Hashimoto
- Laboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, Osaka University, Japan
| | - Attila Bardosi
- Center for Histology, Cytology and Molecular Diagnostics, Trier, Germany
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Kriegsmann J, Casadonte R, Kriegsmann K, Longuespée R, Kriegsmann M. Mass spectrometry in pathology - Vision for a future workflow. Pathol Res Pract 2018; 214:1057-1063. [PMID: 29910062 DOI: 10.1016/j.prp.2018.05.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2017] [Revised: 04/23/2018] [Accepted: 05/11/2018] [Indexed: 02/09/2023]
Abstract
Mass spectrometric (MS) techniques are applied in various areas of medical diagnostics. For the detection of microbiological germs and genetic mutations, MS is a method used in routine. Since MS also allows the analysis of proteins and peptides, it seems an ideal candidate to supplement histopatholological diagnostics. Matrix-assisted laser desorption/ionization time-of-flight Imaging MS links molecular analysis of numerous analytes with morphological information about their spatial distribution in cells or tissues. Herein, we review principle MS techniques as well as potential applications in pathology and discuss our vision for a future workflow.
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Affiliation(s)
- Jörg Kriegsmann
- MVZ for Histology, Cytology and Molecular Diagnostics Trier, Trier, Germany; Proteopath GmbH, Trier, Germany
| | | | - Katharina Kriegsmann
- Department of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
| | - Rémi Longuespée
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Mark Kriegsmann
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
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Föll MC, Fahrner M, Oria VO, Kühs M, Biniossek ML, Werner M, Bronsert P, Schilling O. Reproducible proteomics sample preparation for single FFPE tissue slices using acid-labile surfactant and direct trypsinization. Clin Proteomics 2018. [PMID: 29527141 PMCID: PMC5838928 DOI: 10.1186/s12014-018-9188-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background Proteomic analyses of clinical specimens often rely on human tissues preserved through formalin-fixation and paraffin embedding (FFPE). Minimal sample consumption is the key to preserve the integrity of pathological archives but also to deal with minimal invasive core biopsies. This has been achieved by using the acid-labile surfactant RapiGest in combination with a direct trypsinization (DTR) strategy. A critical comparison of the DTR protocol with the most commonly used filter aided sample preparation (FASP) protocol is lacking. Furthermore, it is unknown how common histological stainings influence the outcome of the DTR protocol. Methods Four single consecutive murine kidney tissue specimens were prepared with the DTR approach or with the FASP protocol using both 10 and 30 k filter devices and analyzed by label-free, quantitative liquid chromatography–tandem mass spectrometry (LC–MS/MS). We compared the different protocols in terms of proteome coverage, relative label-free quantitation, missed cleavages, physicochemical properties and gene ontology term annotations of the proteins. Additionally, we probed compatibility of the DTR protocol for the analysis of common used histological stainings, namely hematoxylin & eosin (H&E), hematoxylin and hemalaun. These were proteomically compared to an unstained control by analyzing four human tonsil FFPE tissue specimens per condition. Results On average, the DTR protocol identified 1841 ± 22 proteins in a single, non-fractionated LC–MS/MS analysis, whereas these numbers were 1857 ± 120 and 1970 ± 28 proteins for the FASP 10 and 30 k protocol. The DTR protocol showed 15% more missed cleavages, which did not adversely affect quantitation and intersample comparability. Hematoxylin or hemalaun staining did not adversely impact the performance of the DTR protocol. A minor perturbation was observed for H&E staining, decreasing overall protein identification by 13%. Conclusions In essence, the DTR protocol can keep up with the FASP protocol in terms of qualitative and quantitative reproducibility and performed almost as well in terms of proteome coverage and missed cleavages. We highlight the suitability of the DTR protocol as a viable and straightforward alternative to the FASP protocol for proteomics-based clinical research. Electronic supplementary material The online version of this article (10.1186/s12014-018-9188-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Melanie Christine Föll
- 1Institute of Molecular Medicine and Cell Research, Faculty of Medicine, University of Freiburg, Stefan Meier Strasse 17, 79104 Freiburg, Germany.,2Faculty of Biology, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Matthias Fahrner
- 1Institute of Molecular Medicine and Cell Research, Faculty of Medicine, University of Freiburg, Stefan Meier Strasse 17, 79104 Freiburg, Germany.,2Faculty of Biology, Albert-Ludwigs-University Freiburg, Freiburg, Germany.,3Spemann Graduate School of Biology and Medicine (SGBM), Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Victor Oginga Oria
- 1Institute of Molecular Medicine and Cell Research, Faculty of Medicine, University of Freiburg, Stefan Meier Strasse 17, 79104 Freiburg, Germany.,2Faculty of Biology, Albert-Ludwigs-University Freiburg, Freiburg, Germany.,3Spemann Graduate School of Biology and Medicine (SGBM), Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Markus Kühs
- 4Institute for Surgical Pathology, Medical Center - University of Freiburg, Freiburg, Germany.,5Comprehensive Cancer Center Freiburg, Medical Center - University of Freiburg, Freiburg, Germany.,6Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Martin Lothar Biniossek
- 1Institute of Molecular Medicine and Cell Research, Faculty of Medicine, University of Freiburg, Stefan Meier Strasse 17, 79104 Freiburg, Germany
| | - Martin Werner
- 4Institute for Surgical Pathology, Medical Center - University of Freiburg, Freiburg, Germany.,5Comprehensive Cancer Center Freiburg, Medical Center - University of Freiburg, Freiburg, Germany.,6Faculty of Medicine, University of Freiburg, Freiburg, Germany.,7German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Bronsert
- 4Institute for Surgical Pathology, Medical Center - University of Freiburg, Freiburg, Germany.,5Comprehensive Cancer Center Freiburg, Medical Center - University of Freiburg, Freiburg, Germany.,6Faculty of Medicine, University of Freiburg, Freiburg, Germany.,7German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oliver Schilling
- 1Institute of Molecular Medicine and Cell Research, Faculty of Medicine, University of Freiburg, Stefan Meier Strasse 17, 79104 Freiburg, Germany.,7German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany.,8BIOSS Centre for Biological Signaling Studies, University of Freiburg, 79104 Freiburg, Germany
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50
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Longuespée R, Casadonte R, Schwamborn K, Reuss D, Kazdal D, Kriegsmann K, von Deimling A, Weichert W, Schirmacher P, Kriegsmann J, Kriegsmann M. Proteomics in Pathology. Proteomics 2018; 18. [DOI: 10.1002/pmic.201700361] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 11/16/2017] [Indexed: 12/14/2022]
Affiliation(s)
- Rémi Longuespée
- Institute of Pathology; University Hospital Heidelberg; Heidelberg Germany
| | | | | | - David Reuss
- Department of Neuropathology, Institute of Pathology; University Hospital Heidelberg; Heidelberg Germany
- Clinical Cooperation Unit Neuropathology; German Cancer Center; Heidelberg Germany
| | - Daniel Kazdal
- Institute of Pathology; University Hospital Heidelberg; Heidelberg Germany
| | - Katharina Kriegsmann
- Department of Hematology, Oncology and Rheumatology; University Hospital Heidelberg; Heidelberg Germany
| | - Andreas von Deimling
- Department of Neuropathology, Institute of Pathology; University Hospital Heidelberg; Heidelberg Germany
- Clinical Cooperation Unit Neuropathology; German Cancer Center; Heidelberg Germany
| | - Wilko Weichert
- Institute of Pathology; Technical University of Munich; Munich Germany
| | - Peter Schirmacher
- Institute of Pathology; University Hospital Heidelberg; Heidelberg Germany
| | - Jörg Kriegsmann
- Proteopath GmbH; Trier Germany
- Center for Histology; Cytology and Molecular Diagnostics; Trier Germany
| | - Mark Kriegsmann
- Institute of Pathology; University Hospital Heidelberg; Heidelberg Germany
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