1
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Gardner W, Winkler DA, Bamford SE, Muir BW, Pigram PJ. Markedly Enhanced Analysis of Mass Spectrometry Images Using Weakly Supervised Machine Learning. SMALL METHODS 2024:e2301230. [PMID: 38204217 DOI: 10.1002/smtd.202301230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/03/2023] [Indexed: 01/12/2024]
Abstract
Supervised and unsupervised machine learning algorithms are routinely applied to time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging data and, more broadly, to mass spectrometry imaging (MSI). These algorithms have accelerated large-scale, single-pixel analysis, classification, and regression. However, there is relatively little research on methods suited for so-called weakly supervised problems, where ground-truth class labels exist at the image level, but not at the individual pixel level. Unsupervised learning methods are usually applied to these problems. However, these methods cannot make use of available labels. Here a novel method specifically designed for weakly supervised MSI data is presented. A dual-stream multiple instance learning (MIL) approach is adapted from computational pathology that reveals the spatial-spectral characteristics distinguishing different classes of MSI images. The method uses an information entropy-regularized attention mechanism to identify characteristic class pixels that are then used to extract characteristic mass spectra. This work provides a proof-of-concept exemplification using printed ink samples imaged by ToF-SIMS. A second application-oriented study is also presented, focusing on the analysis of a mixed powder sample type. Results demonstrate the potential of the MIL method for broader application in MSI, with implications for understanding subtle spatial-spectral characteristics in various applications and contexts.
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Affiliation(s)
- Wil Gardner
- Centre for Materials and Surface Science and Department of Mathematical and Physical Sciences, La Trobe University, Bundoora, Victoria, 3086, Australia
| | - David A Winkler
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Sciences, La Trobe University, Melbourne, Victoria, 3086, Australia
- Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria, 3052, Australia
- Advanced Materials and Healthcare Technologies, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK
| | - Sarah E Bamford
- Centre for Materials and Surface Science and Department of Mathematical and Physical Sciences, La Trobe University, Bundoora, Victoria, 3086, Australia
| | | | - Paul J Pigram
- Centre for Materials and Surface Science and Department of Mathematical and Physical Sciences, La Trobe University, Bundoora, Victoria, 3086, Australia
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2
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Garcia-Del Rio DF, Fournier I, Cardon T, Salzet M. Protocol to identify human subcellular alternative protein interactions using cross-linking mass spectrometry. STAR Protoc 2023; 4:102380. [PMID: 37384523 PMCID: PMC10511867 DOI: 10.1016/j.xpro.2023.102380] [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: 04/07/2023] [Revised: 05/04/2023] [Accepted: 05/24/2023] [Indexed: 07/01/2023] Open
Abstract
Since the start of mass-spectrometry-based proteomics, proteins from non-referenced open reading frames or alternative proteins (AltProts) have been overlooked. Here, we present a protocol to identify human subcellular AltProt and decipher some interactions using cross-linking mass spectrometry. We describe steps for cell culture, in cellulo cross-link, subcellular extraction, and sequential digestion. We then detail both liquid chromatography-tandem mass spectrometry and cross-link data analyses. The implementation of a single workflow allows the non-targeted identification of signaling pathways involving AltProts. For complete details on the use and execution of this protocol, please refer to Garcia-del Rio et al.1.
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Affiliation(s)
- Diego Fernando Garcia-Del Rio
- Université de Lille, Univ. Lille, CHU Lille, Inserm U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France; VIB Center for Medical Biotechnology, VIB, Ghent 9052, Belgium; Department of Biomolecular Medicine, Ghent University, Ghent 9052, Belgium
| | - Isabelle Fournier
- Université de Lille, Univ. Lille, CHU Lille, Inserm U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France.
| | - Tristan Cardon
- Université de Lille, Univ. Lille, CHU Lille, Inserm U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France.
| | - Michel Salzet
- Université de Lille, Univ. Lille, CHU Lille, Inserm U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France
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3
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Employing non-targeted interactomics approach and subcellular fractionation to increase our understanding of the ghost proteome. iScience 2023; 26:105943. [PMID: 36866041 PMCID: PMC9971881 DOI: 10.1016/j.isci.2023.105943] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/07/2022] [Accepted: 01/04/2023] [Indexed: 01/09/2023] Open
Abstract
Eukaryotic mRNA has long been considered monocistronic, but nowadays, alternative proteins (AltProts) challenge this tenet. The alternative or ghost proteome has largely been neglected and the involvement of AltProts in biological processes. Here, we used subcellular fractionation to increase the information about AltProts and facilitate the detection of protein-protein interactions by the identification of crosslinked peptides. In total, 112 unique AltProts were identified, and we were able to identify 220 crosslinks without peptide enrichment. Among these, 16 crosslinks between AltProts and Referenced Proteins (RefProts) were identified. We further focused on specific examples such as the interaction between IP_2292176 (AltFAM227B) and HLA-B, in which this protein could be a potential new immunopeptide, and the interactions between HIST1H4F and several AltProts which can play a role in mRNA transcription. Thanks to the study of the interactome and the localization of AltProts, we can reveal more of the importance of the ghost proteome.
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4
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Hu H, Laskin J. Emerging Computational Methods in Mass Spectrometry Imaging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2203339. [PMID: 36253139 PMCID: PMC9731724 DOI: 10.1002/advs.202203339] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 09/17/2022] [Indexed: 05/10/2023]
Abstract
Mass spectrometry imaging (MSI) is a powerful analytical technique that generates maps of hundreds of molecules in biological samples with high sensitivity and molecular specificity. Advanced MSI platforms with capability of high-spatial resolution and high-throughput acquisition generate vast amount of data, which necessitates the development of computational tools for MSI data analysis. In addition, computation-driven MSI experiments have recently emerged as enabling technologies for further improving the MSI capabilities with little or no hardware modification. This review provides a critical summary of computational methods and resources developed for MSI data analysis and interpretation along with computational approaches for improving throughput and molecular coverage in MSI experiments. This review is focused on the recently developed artificial intelligence methods and provides an outlook for a future paradigm shift in MSI with transformative computational methods.
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Affiliation(s)
- Hang Hu
- Department of ChemistryPurdue University560 Oval DriveWest LafayetteIN47907USA
| | - Julia Laskin
- Department of ChemistryPurdue University560 Oval DriveWest LafayetteIN47907USA
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5
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Lam KHB, Faust K, Yin R, Fiala C, Diamandis P. The Brain Protein Atlas: A conglomerate of proteomics datasets of human neural tissue. Proteomics 2022; 22:e2200127. [PMID: 35971647 DOI: 10.1002/pmic.202200127] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 07/09/2022] [Accepted: 08/03/2022] [Indexed: 11/06/2022]
Abstract
The human brain represents one of the most complex biological structures with significant spatiotemporal molecular plasticity occurring through early development, learning, aging, and disease. While much progress has been made in mapping its transcriptional architecture, more downstream phenotypic readouts are relatively scarce due to limitations with tissue heterogeneity and accessibility, as well as an inability to amplify protein species prior to global -OMICS analysis. To address some of these barriers, our group has recently focused on using mass-spectrometry workflows compatible with small amounts of formalin-fixed paraffin-embedded tissue samples. This has enabled exploration into spatiotemporal proteomic signatures of the brain and disease across otherwise inaccessible neurodevelopmental timepoints and anatomical niches. Given the similar theme and approaches, we introduce an integrated online portal, "The Brain Protein Atlas (BPA)" (www.brainproteinatlas.org), representing a public resource that allows users to access and explore these amalgamated datasets. Specifically, this portal contains a growing set of peer-reviewed mass-spectrometry-based proteomic datasets, including spatiotemporal profiles of human cerebral development, diffuse gliomas, clinically aggressive meningiomas, and a detailed anatomic atlas of glioblastoma. One barrier to entry in mass spectrometry-based proteomics data analysis is the steep learning curve required to extract biologically relevant data. BPA, therefore, includes several built-in analytical tools to generate relevant plots (e.g., volcano plots, heatmaps, boxplots, and scatter plots) and evaluate the spatiotemporal patterns of proteins of interest. Future iterations aim to expand available datasets, including those generated by the community at large, and analytical tools for exploration. Ultimately, BPA aims to improve knowledge dissemination of proteomic information across the neuroscience community in hopes of accelerating the biological understanding of the brain and various maladies.
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Affiliation(s)
- K H Brian Lam
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.,Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.,Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States of America
| | - Kevin Faust
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Richard Yin
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Clare Fiala
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Phedias Diamandis
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.,Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.,Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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6
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Van Hese L, De Vleeschouwer S, Theys T, Rex S, Heeren RMA, Cuypers E. The diagnostic accuracy of intraoperative differentiation and delineation techniques in brain tumours. Discov Oncol 2022; 13:123. [PMID: 36355227 PMCID: PMC9649524 DOI: 10.1007/s12672-022-00585-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/22/2022] [Indexed: 11/11/2022] Open
Abstract
Brain tumour identification and delineation in a timeframe of seconds would significantly guide and support surgical decisions. Here, treatment is often complicated by the infiltration of gliomas in the surrounding brain parenchyma. Accurate delineation of the invasive margins is essential to increase the extent of resection and to avoid postoperative neurological deficits. Currently, histopathological annotation of brain biopsies and genetic phenotyping still define the first line treatment, where results become only available after surgery. Furthermore, adjuvant techniques to improve intraoperative visualisation of the tumour tissue have been developed and validated. In this review, we focused on the sensitivity and specificity of conventional techniques to characterise the tumour type and margin, specifically fluorescent-guided surgery, neuronavigation and intraoperative imaging as well as on more experimental techniques such as mass spectrometry-based diagnostics, Raman spectrometry and hyperspectral imaging. Based on our findings, all investigated methods had their advantages and limitations, guiding researchers towards the combined use of intraoperative imaging techniques. This can lead to an improved outcome in terms of extent of tumour resection and progression free survival while preserving neurological outcome of the patients.
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Affiliation(s)
- Laura Van Hese
- Division of Mass Spectrometry Imaging, Maastricht MultiModal Molecular Imaging (M4I) Institute, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
- Department of Anaesthesiology, University Hospitals Leuven, 3000, Leuven, Belgium
- Department of Cardiovascular Sciences, KU Leuven, 3000, Leuven, Belgium
| | - Steven De Vleeschouwer
- Neurosurgery Department, University Hospitals Leuven, 3000, Leuven, Belgium
- Laboratory for Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, Leuven Brain Institute (LBI), 3000, Leuven, Belgium
| | - Tom Theys
- Neurosurgery Department, University Hospitals Leuven, 3000, Leuven, Belgium
- Laboratory for Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, Leuven Brain Institute (LBI), 3000, Leuven, Belgium
| | - Steffen Rex
- Department of Anaesthesiology, University Hospitals Leuven, 3000, Leuven, Belgium
- Department of Cardiovascular Sciences, KU Leuven, 3000, Leuven, Belgium
| | - Ron M A Heeren
- Division of Mass Spectrometry Imaging, Maastricht MultiModal Molecular Imaging (M4I) Institute, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Eva Cuypers
- Division of Mass Spectrometry Imaging, Maastricht MultiModal Molecular Imaging (M4I) Institute, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
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7
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Tiquet M, La Rocca R, Kirnbauer S, Zoratto S, Van Kruining D, Quinton L, Eppe G, Martinez-Martinez P, Marchetti-Deschmann M, De Pauw E, Far J. FT-ICR Mass Spectrometry Imaging at Extreme Mass Resolving Power Using a Dynamically Harmonized ICR Cell with 1ω or 2ω Detection. Anal Chem 2022; 94:9316-9326. [PMID: 35604839 PMCID: PMC9260710 DOI: 10.1021/acs.analchem.2c00754] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
![]()
MALDI mass spectrometry
imaging (MALDI MSI) is a powerful analytical
method for achieving 2D localization of compounds from thin sections
of typically but not exclusively biological samples. The dynamically
harmonized ICR cell (ParaCell) was recently introduced to achieve
extreme spectral resolution capable of providing the isotopic fine
structure of ions detected in complex samples. The latest improvement
in the ICR technology also includes 2ω detection, which significantly
reduces the transient time while preserving the nominal mass resolving
power of the ICR cell. High-resolution MS images acquired on FT-ICR
instruments equipped with 7T and 9.4T superconducting magnets and
the dynamically harmonized ICR cell operating at suboptimal parameters
suffered severely from the pixel-to-pixel shifting of m/z peaks due to space-charge effects. The resulting
profile average mass spectra have depreciated mass measurement accuracy
and mass resolving power under the instrument specifications that
affect the confidence level of the identified ions. Here, we propose
an analytical workflow based on the monitoring of the total ion current
to restrain the pixel-to-pixel m/z shift. Adjustment of the laser parameters is proposed to maintain
high spectral resolution and mass accuracy measurement within the
instrument specifications during MSI analyses. The optimized method
has been successfully employed in replicates to perform high-quality
MALDI MS images at resolving power (FWHM) above 1,000,000 in the lipid
mass range across the whole image for superconducting magnets of 7T
and 9.4T using 1 and 2ω detection. Our data also compare favorably
with MALDI MSI experiments performed on higher-magnetic-field superconducting
magnets, including the 21T MALDI FT-ICR prototype instrument of the
NHMFL group at Tallahassee, Florida.
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Affiliation(s)
- Mathieu Tiquet
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Raphaël La Rocca
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Stefan Kirnbauer
- Institute of Chemical Technologies and Analytics, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Austrian Cluster for Tissue Regeneration, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria
| | - Samuele Zoratto
- Institute of Chemical Technologies and Analytics, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Austrian Cluster for Tissue Regeneration, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Christian Doppler Laboratory for Skin Multimodal Imaging of Aging and Senescence, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria
| | - Daan Van Kruining
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, the Netherlands
| | - Loïc Quinton
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Gauthier Eppe
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Pilar Martinez-Martinez
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, the Netherlands
| | - Martina Marchetti-Deschmann
- Institute of Chemical Technologies and Analytics, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Austrian Cluster for Tissue Regeneration, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Christian Doppler Laboratory for Skin Multimodal Imaging of Aging and Senescence, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria
| | - Edwin De Pauw
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Johann Far
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
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8
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Buszewska-Forajta M, Rafińska K, Buszewski B. Tissue sample preparations for preclinical research determined by molecular imaging mass spectrometry using MALDI. J Sep Sci 2022; 45:1345-1361. [PMID: 35122386 DOI: 10.1002/jssc.202100578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 01/25/2022] [Accepted: 01/26/2022] [Indexed: 11/09/2022]
Abstract
Matrix-assisted laser desorption/ionization - imaging mass spectrometry is an alternative tool, which can be implemented in order to obtain and visualize the "omic" signature of tissue samples. Its application to clinical study enables simultaneous imaging-based morphological observations and mass spectrometry analysis. Application of fully informative material like tissue, allows to obtain the complex and unique profile of analyzed samples. This knowledge leads to diagnose disease, study the mechanism of cancer development, select the potential biomarkers as well as correlating obtained image with prognosis. Nevertheless, it is worth to notice that this method is found to be objective but the result of analysis is mainly influenced by the sample preparation protocol, included collection of biological material, its preservation and processing. However, application of this approach requires a special sample preparation procedure. The main goal of the study is to present the current knowledge on the clinical application of matrix-assisted laser desorption/ionization - imaging mass spectrometry in cancer research, with particular emphasis on the sample preparation step. For this purpose, several protocols based on cryosections and formalin-fixed paraffin embedded tissue were compiled and compared, taking into account the measured metabolites of potential diagnostic importance for a given type of cancer. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Magdalena Buszewska-Forajta
- Institute of Veterinary Medicine, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University, Lwowska 1, Toruń, 87-100, Poland
| | - Katarzyna Rafińska
- Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University, 7 Gagarina Str., Torun, 87-100, Poland
| | - Boguslaw Buszewski
- Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University, 7 Gagarina Str., Torun, 87-100, Poland.,Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, 4 Wileńska Str., Torun, 87-100, Poland
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9
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Hajjaji N, Aboulouard S, Cardon T, Bertin D, Robin YM, Fournier I, Salzet M. Path to Clonal Theranostics in Luminal Breast Cancers. Front Oncol 2022; 11:802177. [PMID: 35096604 PMCID: PMC8793283 DOI: 10.3389/fonc.2021.802177] [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: 10/26/2021] [Accepted: 12/06/2021] [Indexed: 12/18/2022] Open
Abstract
Integrating tumor heterogeneity in the drug discovery process is a key challenge to tackle breast cancer resistance. Identifying protein targets for functionally distinct tumor clones is particularly important to tailor therapy to the heterogeneous tumor subpopulations and achieve clonal theranostics. For this purpose, we performed an unsupervised, label-free, spatially resolved shotgun proteomics guided by MALDI mass spectrometry imaging (MSI) on 124 selected tumor clonal areas from early luminal breast cancers, tumor stroma, and breast cancer metastases. 2868 proteins were identified. The main protein classes found in the clonal proteome dataset were enzymes, cytoskeletal proteins, membrane-traffic, translational or scaffold proteins, or transporters. As a comparison, gene-specific transcriptional regulators, chromatin related proteins or transmembrane signal receptor were more abundant in the TCGA dataset. Moreover, 26 mutated proteins have been identified. Similarly, expanding the search to alternative proteins databases retrieved 126 alternative proteins in the clonal proteome dataset. Most of these alternative proteins were coded mainly from non-coding RNA. To fully understand the molecular information brought by our approach and its relevance to drug target discovery, the clonal proteomic dataset was further compared to the TCGA breast cancer database and two transcriptomic panels, BC360 (nanoString®) and CDx (Foundation One®). We retrieved 139 pathways in the clonal proteome dataset. Only 55% of these pathways were also present in the TCGA dataset, 68% in BC360 and 50% in CDx. Seven of these pathways have been suggested as candidate for drug targeting, 22 have been associated with breast cancer in experimental or clinical reports, the remaining 19 pathways have been understudied in breast cancer. Among the anticancer drugs, 35 drugs matched uniquely with the clonal proteome dataset, with only 7 of them already approved in breast cancer. The number of target and drug interactions with non-anticancer drugs (such as agents targeting the cardiovascular system, metabolism, the musculoskeletal or the nervous systems) was higher in the clonal proteome dataset (540 interactions) compared to TCGA (83 interactions), BC360 (419 interactions), or CDx (172 interactions). Many of the protein targets identified and drugs screened were clinically relevant to breast cancer and are in clinical trials. Thus, we described the non-redundant knowledge brought by this clone-tailored approach compared to TCGA or transcriptomic panels, the targetable proteins identified in the clonal proteome dataset, and the potential of this approach for drug discovery and repurposing through drug interactions with antineoplastic agents and non-anticancer drugs.
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Affiliation(s)
- Nawale Hajjaji
- Univ. Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France.,Breast Cancer Unit, Oscar Lambret Center, Lille, France
| | - Soulaimane Aboulouard
- Univ. Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France
| | - Tristan Cardon
- Univ. Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France
| | - Delphine Bertin
- Univ. Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France.,Breast Cancer Unit, Oscar Lambret Center, Lille, France
| | - Yves-Marie Robin
- Univ. Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France.,Breast Cancer Unit, Oscar Lambret Center, Lille, France
| | - Isabelle Fournier
- Univ. Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France.,Institut universitaire de France, Paris, France
| | - Michel Salzet
- Univ. Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France.,Institut universitaire de France, Paris, France
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10
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Cardon T, Fournier I, Salzet M. Unveiling a Ghost Proteome in the Glioblastoma Non-Coding RNAs. Front Cell Dev Biol 2022; 9:703583. [PMID: 35004666 PMCID: PMC8733697 DOI: 10.3389/fcell.2021.703583] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 12/03/2021] [Indexed: 12/13/2022] Open
Abstract
Glioblastoma is the most common brain cancer in adults. Nevertheless, the median survival time is 15 months, if treated with at least a near total resection and followed by radiotherapy in association with temozolomide. In glioblastoma (GBM), variations of non-coding ribonucleic acid (ncRNA) expression have been demonstrated in tumor processes, especially in the regulation of major signaling pathways. Moreover, many ncRNAs present in their sequences an Open Reading Frame (ORF) allowing their translations into proteins, so-called alternative proteins (AltProt) and constituting the “ghost proteome.” This neglected world in GBM has been shown to be implicated in protein–protein interaction (PPI) with reference proteins (RefProt) reflecting involvement in signaling pathways linked to cellular mobility and transfer RNA regulation. More recently, clinical studies have revealed that AltProt is also involved in the patient’s survival and bad prognosis. We thus propose to review the ncRNAs involved in GBM and highlight their function in the disease.
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Affiliation(s)
- Tristan Cardon
- University of Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France
| | - Isabelle Fournier
- University of Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France.,Institut Universitaire de France, Paris, France
| | - Michel Salzet
- University of Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France.,Institut Universitaire de France, Paris, France
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11
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Innovation in drug toxicology: Application of mass spectrometry imaging technology. Toxicology 2021; 464:153000. [PMID: 34695509 DOI: 10.1016/j.tox.2021.153000] [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: 05/07/2021] [Revised: 09/21/2021] [Accepted: 10/18/2021] [Indexed: 01/19/2023]
Abstract
Mass spectrometry imaging (MSI) is a powerful molecular imaging technology that can obtain qualitative, quantitative, and location information by simultaneously detecting and mapping endogenous or exogenous molecules in biological tissue slices without specific chemical labeling or complex sample pretreatment. This article reviews the progress made in MSI and its application in drug toxicology research, including the tissue distribution of toxic drugs and their metabolites, the target organs (liver, kidney, lung, eye, and central nervous system) of toxic drugs, the discovery of toxicity-associated biomarkers, and explanations of the mechanisms of drug toxicity when MSI is combined with the cutting-edge omics methodologies. The unique advantages and broad prospects of this technology have been fully demonstrated to further promote its wider use in the field of pharmaceutical toxicology.
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12
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Drelich L, Aboulouard S, Franck J, Salzet M, Fournier I, Wisztorski M. Toward High Spatially Resolved Proteomics Using Expansion Microscopy. Anal Chem 2021; 93:12195-12203. [PMID: 34449217 DOI: 10.1021/acs.analchem.0c05372] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Expansion microscopy (EM) is an emerging approach for morphological examination of biological specimens at nanoscale resolution using conventional optical microscopy. To achieve physical separation of cell structures, tissues are embedded in a swellable polymer and expanded several fold in an isotropic manner. This work shows the development and optimization of physical tissue expansion as a new method for spatially resolved large-scale proteomics. Herein we established a novel method to enlarge the tissue section to be compatible with manual microdissection on regions of interest and MS-based proteomic analysis. A major issue in expansion microscopy is the loss of protein information during the mechanical homogenization phase due to the use of proteinase K. For isotropic expansion, different homogenization agents were investigated, both to maximize protein identification and to minimize protein diffusion. Best results were obtained with SDS for homogenization. Using our modified protocol, we were able to enlarge a tissue section more than 3-fold and identified up to 655 proteins from 1 mm in size after expansion, equivalent to 330 μm in their real size corresponding thus to an average of 260 cells. This approach can be performed easily without any expensive sampling instrument. We demonstrated the compatibility of sample preparation for expansion microscopy and proteomic study in a spatial context.
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Affiliation(s)
- Lauranne Drelich
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France
| | - Soulaimane Aboulouard
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France
| | - Julien Franck
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France
| | - Michel Salzet
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France.,Institut Universitaire de France (IUF), Paris, 75000, France
| | - Isabelle Fournier
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France.,Institut Universitaire de France (IUF), Paris, 75000, France
| | - Maxence Wisztorski
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, Lille, 59000, France
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13
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Hu Y, Wang Z, Liu L, Zhu J, Zhang D, Xu M, Zhang Y, Xu F, Chen Y. Mass spectrometry-based chemical mapping and profiling toward molecular understanding of diseases in precision medicine. Chem Sci 2021; 12:7993-8009. [PMID: 34257858 PMCID: PMC8230026 DOI: 10.1039/d1sc00271f] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 04/15/2021] [Indexed: 12/11/2022] Open
Abstract
Precision medicine has been strongly promoted in recent years. It is used in clinical management for classifying diseases at the molecular level and for selecting the most appropriate drugs or treatments to maximize efficacy and minimize adverse effects. In precision medicine, an in-depth molecular understanding of diseases is of great importance. Therefore, in the last few years, much attention has been given to translating data generated at the molecular level into clinically relevant information. However, current developments in this field lack orderly implementation. For example, high-quality chemical research is not well integrated into clinical practice, especially in the early phase, leading to a lack of understanding in the clinic of the chemistry underlying diseases. In recent years, mass spectrometry (MS) has enabled significant innovations and advances in chemical research. As reported, this technique has shown promise in chemical mapping and profiling for answering "what", "where", "how many" and "whose" chemicals underlie the clinical phenotypes, which are assessed by biochemical profiling, MS imaging, molecular targeting and probing, biomarker grading disease classification, etc. These features can potentially enhance the precision of disease diagnosis, monitoring and treatment and thus further transform medicine. For instance, comprehensive MS-based biochemical profiling of ovarian tumors was performed, and the results revealed a number of molecular insights into the pathways and processes that drive ovarian cancer biology and the ways that these pathways are altered in correspondence with clinical phenotypes. Another study demonstrated that quantitative biomarker mapping can be predictive of responses to immunotherapy and of survival in the supposedly homogeneous group of breast cancer patients, allowing for stratification of patients. In this context, our article attempts to provide an overview of MS-based chemical mapping and profiling, and a perspective on their clinical utility to improve the molecular understanding of diseases for advancing precision medicine.
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Affiliation(s)
- Yechen Hu
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Zhongcheng Wang
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Liang Liu
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
- Department of Pharmacy, Zhongnan Hospital of Wuhan University Wuhan 430071 China
| | - Jianhua Zhu
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Dongxue Zhang
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Mengying Xu
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Yuanyuan Zhang
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Feifei Xu
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
| | - Yun Chen
- School of Pharmacy, Nanjing Medical University Nanjing 211166 China
- State Key Laboratory of Reproductive Medicine, Key Laboratory of Cardiovascular & Cerebrovascular Medicine Nanjing 210029 China
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14
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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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15
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Cardon T, Fournier I, Salzet M. Shedding Light on the Ghost Proteome. Trends Biochem Sci 2020; 46:239-250. [PMID: 33246829 DOI: 10.1016/j.tibs.2020.10.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 10/21/2020] [Accepted: 10/22/2020] [Indexed: 01/19/2023]
Abstract
Conventionally, eukaryotic mRNAs were thought to be monocistronic, leading to the translation of a single protein. However, large-scale proteomics has led to the identification of proteins translated from alternative open reading frames (AltORFs) in mRNAs. AltORFs are found in addition to predicted reference ORFs and noncoding RNA. Alternative proteins are not represented in the conventional protein databases, and this 'Ghost proteome' was not considered until recently. Some of these proteins are functional, and there is growing evidence that they are involved in central functions in physiological and physiopathological contexts. Here, we review how this Ghost proteome fills the gap in our understanding of signaling pathways, establishes new markers of pathologies, and highlights therapeutic targets.
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Affiliation(s)
- Tristan Cardon
- Laboratoire Protéomique, Réponse Inflammatoire Spectrométrie de Masse (PRISM), Inserm U1192, University of Lille, CHU Lille, F-59000 Lille, France.
| | - Isabelle Fournier
- Laboratoire Protéomique, Réponse Inflammatoire Spectrométrie de Masse (PRISM), Inserm U1192, University of Lille, CHU Lille, F-59000 Lille, France; Institut Universitaire de France, Paris, France.
| | - Michel Salzet
- Laboratoire Protéomique, Réponse Inflammatoire Spectrométrie de Masse (PRISM), Inserm U1192, University of Lille, CHU Lille, F-59000 Lille, France; Institut Universitaire de France, Paris, France.
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16
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Chen B, Vavrek M, Gundersdorf R, Zhong W, Cancilla MT. Combining MALDI mass spectrometry imaging and droplet-base surface sampling analysis for tissue distribution, metabolite profiling, and relative quantification of cyclic peptide melanotan II. Anal Chim Acta 2020; 1125:279-287. [PMID: 32674774 DOI: 10.1016/j.aca.2020.05.050] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 04/30/2020] [Accepted: 05/21/2020] [Indexed: 12/21/2022]
Abstract
Peptides have become a fast-growing segment of the pharmaceutical industry over the past few decades. It is essential to develop cutting edge analytical techniques to support the discovery and development of peptide therapeutics, especially to examine their absorption, distribution, metabolism and excretion (ADME) properties. Herein, we utilized two label-free mass spectrometry (MS) based techniques to investigate representative challenges in developing therapeutic peptides, such as tissue distribution, metabolic stability and clearance. A tool proof-of-concept cyclic peptide, melanotan II, was used in this study. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), which is a well-developed label-free imaging technique, was used to map the detailed molecular distribution of melanotan II and its metabolites. Droplet-based liquid microjunction surface sampling liquid chromatography-high resolution mass spectrometry (LMJ-SSP-LC-HRMS) was used in combination with MALDI-MSI to rapidly profile molecular information and provide structural insights on drug and metabolites. Using both techniques in parallel allowed a more comprehensive and complementary data set than using either technique independently. We envision MALDI-MSI and droplet-based LMJ-SSP-LC-HRMS, which can be used in combination or as standalone techniques, to become valuable tools for assessing the in vivo fate of peptide therapeutics in support of drug discovery and development.
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Affiliation(s)
- Bingming Chen
- Department of Pharmacokinetics, Pharmacodynamics & Drug Metabolism (PPDM), Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, NJ, 07033, USA.
| | - Marissa Vavrek
- Department of Pharmacokinetics, Pharmacodynamics & Drug Metabolism (PPDM), Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, NJ, 07033, USA
| | - Richard Gundersdorf
- Department of Pharmacokinetics, Pharmacodynamics & Drug Metabolism (PPDM), Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, NJ, 07033, USA
| | - Wendy Zhong
- Analytical Research & Development, Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, NJ, 07033, USA
| | - Mark T Cancilla
- Department of Pharmacokinetics, Pharmacodynamics & Drug Metabolism (PPDM), Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, NJ, 07033, USA.
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17
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Jayathirtha M, Dupree EJ, Manzoor Z, Larose B, Sechrist Z, Neagu AN, Petre BA, Darie CC. Mass Spectrometric (MS) Analysis of Proteins and Peptides. Curr Protein Pept Sci 2020; 22:92-120. [PMID: 32713333 DOI: 10.2174/1389203721666200726223336] [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: 01/01/2020] [Revised: 05/12/2020] [Accepted: 05/28/2020] [Indexed: 01/09/2023]
Abstract
The human genome is sequenced and comprised of ~30,000 genes, making humans just a little bit more complicated than worms or flies. However, complexity of humans is given by proteins that these genes code for because one gene can produce many proteins mostly through alternative splicing and tissue-dependent expression of particular proteins. In addition, post-translational modifications (PTMs) in proteins greatly increase the number of gene products or protein isoforms. Furthermore, stable and transient interactions between proteins, protein isoforms/proteoforms and PTM-ed proteins (protein-protein interactions, PPI) add yet another level of complexity in humans and other organisms. In the past, all of these proteins were analyzed one at the time. Currently, they are analyzed by a less tedious method: mass spectrometry (MS) for two reasons: 1) because of the complexity of proteins, protein PTMs and PPIs and 2) because MS is the only method that can keep up with such a complex array of features. Here, we discuss the applications of mass spectrometry in protein analysis.
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Affiliation(s)
- Madhuri Jayathirtha
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Emmalyn J Dupree
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zaen Manzoor
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Brianna Larose
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zach Sechrist
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania
| | - Brindusa Alina Petre
- Laboratory of Biochemistry, Department of Chemistry, Al. I. Cuza University of Iasi, Iasi, Romania, Center for Fundamental Research and Experimental Development in Translation Medicine - TRANSCEND, Regional Institute of Oncology, Iasi, Romania
| | - Costel C Darie
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
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18
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Wang K, Donnarumma F, Pettit ME, Szot CW, Solouki T, Murray KK. MALDI imaging directed laser ablation tissue microsampling for data independent acquisition proteomics. JOURNAL OF MASS SPECTROMETRY : JMS 2020; 55:e4475. [PMID: 31726477 DOI: 10.1002/jms.4475] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 10/25/2019] [Accepted: 11/07/2019] [Indexed: 06/10/2023]
Abstract
A multimodal workflow for mass spectrometry imaging was developed that combines MALDI imaging with protein identification and quantification by liquid chromatography tandem mass spectrometry (LC-MS/MS). Thin tissue sections were analyzed by MALDI imaging, and the regions of interest (ROI) were identified using a smoothing and edge detection procedure. A midinfrared laser at 3-μm wavelength was used to remove the ROI from the brain tissue section after MALDI mass spectrometry imaging (MALDI MSI). The captured material was processed using a single-pot solid-phase-enhanced sample preparation (SP3) method and analyzed by LC-MS/MS using ion mobility (IM) enhanced data independent acquisition (DIA) to identify and quantify proteins; more than 600 proteins were identified. Using a modified database that included isoform and the post-translational modifications chain, loss of the initial methionine, and acetylation, 14 MALDI MSI peaks were identified. Comparison of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the identified proteins was achieved through an evolutionary relationships classification system.
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Affiliation(s)
- Kelin Wang
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, United States
| | - Fabrizio Donnarumma
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, United States
| | - Michael E Pettit
- Department of Chemistry and Biochemistry, Baylor University, Waco, TX, 76706, United States
| | - Carson W Szot
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, United States
| | - Touradj Solouki
- Department of Chemistry and Biochemistry, Baylor University, Waco, TX, 76706, United States
| | - Kermit K Murray
- Department of Chemistry, Louisiana State University, Baton Rouge, LA, 70803, United States
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19
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Rose M, Duhamel M, Aboulouard S, Kobeissy F, Le Rhun E, Desmons A, Tierny D, Fournier I, Rodet F, Salzet M. The Role of a Proprotein Convertase Inhibitor in Reactivation of Tumor-Associated Macrophages and Inhibition of Glioma Growth. MOLECULAR THERAPY-ONCOLYTICS 2020; 17:31-46. [PMID: 32300641 PMCID: PMC7152595 DOI: 10.1016/j.omto.2020.03.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 03/20/2020] [Indexed: 02/07/2023]
Abstract
Tumors are characterized by the presence of malignant and non-malignant cells, such as immune cells including macrophages, which are preponderant. Macrophages impact the efficacy of chemotherapy and may lead to drug resistance. In this context and based on our previous work, we investigated the ability to reactivate macrophages by using a proprotein convertases inhibitor. Proprotein convertases process immature proteins into functional proteins, with several of them having a role in immune cell activation and tumorigenesis. Macrophages were treated with a peptidomimetic inhibitor targeting furin, PC1/3, PC4, PACE4, and PC5/6. Their anti-glioma activity was analyzed by mass spectrometry-based proteomics and viability assays in 2D and 3D in vitro cultures. Comparison with temozolomide, the drug used for glioma therapy, established that the inhibitor was more efficient for the reduction of cancer cell density. The inhibitor was also able to reactivate macrophages through the secretion of several immune factors with antitumor properties. Moreover, two proteins considered as good glioma patient survival indicators were also identified in 3D cultures treated with the inhibitor. Finally, we established that the proprotein convertases inhibitor has a dual role as an anti-glioma drug and anti-tumoral macrophage reactivation drug. This strategy could be used together with chemotherapy to increase therapy efficacy in glioma.
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Affiliation(s)
- Mélanie Rose
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France.,Oncovet Clinical Research (OCR), SIRIC ONCOLille, 59650 Villeneuve d'Ascq, France
| | - Marie Duhamel
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Soulaimane Aboulouard
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Firas Kobeissy
- Department of Psychiatry, McKnight Brain Institute, University of Florida, Gainesville, FL 32611, USA
| | - Emilie Le Rhun
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Annie Desmons
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Dominique Tierny
- Oncovet Clinical Research (OCR), SIRIC ONCOLille, 59650 Villeneuve d'Ascq, France
| | - Isabelle Fournier
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Franck Rodet
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
| | - Michel Salzet
- Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), INSERM U1192, Université de Lille, 59000 Lille, France
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20
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Cardon T, Hervé F, Delcourt V, Roucou X, Salzet M, Franck J, Fournier I. Optimized Sample Preparation Workflow for Improved Identification of Ghost Proteins. Anal Chem 2019; 92:1122-1129. [PMID: 31829555 DOI: 10.1021/acs.analchem.9b04188] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Large scale proteomic strategies rely on database interrogation. Thus, only referenced proteins can be identified. Recently, Alternative Proteins (AltProts) translated from nonannotated Alternative Open reading frame (AltORFs) were discovered using customized databases. Because of their small size which confers them peptide-like physicochemical properties, they are more difficult to detect using standard proteomics strategies. In this study, we tested different preparation workflows for improving the identification of AltProts in NCH82 human glioma cell line. The highest number of identified AltProts was achieved with RIPA buffer or boiling water extraction followed by acetic acid precipitation.
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Affiliation(s)
- Tristan Cardon
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM) , Université de Lille , F-59000 Lille , France
| | - Flore Hervé
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM) , Université de Lille , F-59000 Lille , France
| | - Vivian Delcourt
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM) , Université de Lille , F-59000 Lille , France.,Department of Biochemistry , Université de Sherbrooke , Quebec , Sherbrooke , Canada
| | - Xavier Roucou
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM) , Université de Lille , F-59000 Lille , France.,Department of Biochemistry , Université de Sherbrooke , Quebec , Sherbrooke , Canada
| | - Michel Salzet
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM) , Université de Lille , F-59000 Lille , France.,Institut Universitaire de France (IUF) , Paris , France
| | - Julien Franck
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM) , Université de Lille , F-59000 Lille , France
| | - Isabelle Fournier
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM) , Université de Lille , F-59000 Lille , France.,Institut Universitaire de France (IUF) , Paris , France
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21
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Gomez-Zepeda D, Taghi M, Scherrmann JM, Decleves X, Menet MC. ABC Transporters at the Blood-Brain Interfaces, Their Study Models, and Drug Delivery Implications in Gliomas. Pharmaceutics 2019; 12:pharmaceutics12010020. [PMID: 31878061 PMCID: PMC7022905 DOI: 10.3390/pharmaceutics12010020] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 12/13/2019] [Accepted: 12/20/2019] [Indexed: 12/22/2022] Open
Abstract
Drug delivery into the brain is regulated by the blood-brain interfaces. The blood-brain barrier (BBB), the blood-cerebrospinal fluid barrier (BCSFB), and the blood-arachnoid barrier (BAB) regulate the exchange of substances between the blood and brain parenchyma. These selective barriers present a high impermeability to most substances, with the selective transport of nutrients and transporters preventing the entry and accumulation of possibly toxic molecules, comprising many therapeutic drugs. Transporters of the ATP-binding cassette (ABC) superfamily have an important role in drug delivery, because they extrude a broad molecular diversity of xenobiotics, including several anticancer drugs, preventing their entry into the brain. Gliomas are the most common primary tumors diagnosed in adults, which are often characterized by a poor prognosis, notably in the case of high-grade gliomas. Therapeutic treatments frequently fail due to the difficulty of delivering drugs through the brain barriers, adding to diverse mechanisms developed by the cancer, including the overexpression or expression de novo of ABC transporters in tumoral cells and/or in the endothelial cells forming the blood-brain tumor barrier (BBTB). Many models have been developed to study the phenotype, molecular characteristics, and function of the blood-brain interfaces as well as to evaluate drug permeability into the brain. These include in vitro, in vivo, and in silico models, which together can help us to better understand their implication in drug resistance and to develop new therapeutics or delivery strategies to improve the treatment of pathologies of the central nervous system (CNS). In this review, we present the principal characteristics of the blood-brain interfaces; then, we focus on the ABC transporters present on them and their implication in drug delivery; next, we present some of the most important models used for the study of drug transport; finally, we summarize the implication of ABC transporters in glioma and the BBTB in drug resistance and the strategies to improve the delivery of CNS anticancer drugs.
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Affiliation(s)
- David Gomez-Zepeda
- Inserm, UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France; (M.T.); (J.-M.S.); (X.D.)
- Sorbonne Paris Cité, Université Paris Descartes, 75006 Paris, France
- Sorbonne Paris Cité, Université Paris Diderot, 75013 Paris, France
- Correspondence: (D.G.-Z.); (M.-C.M.)
| | - Méryam Taghi
- Inserm, UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France; (M.T.); (J.-M.S.); (X.D.)
- Sorbonne Paris Cité, Université Paris Descartes, 75006 Paris, France
- Sorbonne Paris Cité, Université Paris Diderot, 75013 Paris, France
| | - Jean-Michel Scherrmann
- Inserm, UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France; (M.T.); (J.-M.S.); (X.D.)
- Sorbonne Paris Cité, Université Paris Descartes, 75006 Paris, France
- Sorbonne Paris Cité, Université Paris Diderot, 75013 Paris, France
| | - Xavier Decleves
- Inserm, UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France; (M.T.); (J.-M.S.); (X.D.)
- Sorbonne Paris Cité, Université Paris Descartes, 75006 Paris, France
- Sorbonne Paris Cité, Université Paris Diderot, 75013 Paris, France
- UF Biologie du médicament et toxicologie, Hôpital Cochin, AP HP, 75006 Paris, France
| | - Marie-Claude Menet
- Inserm, UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie, 75006 Paris, France; (M.T.); (J.-M.S.); (X.D.)
- Sorbonne Paris Cité, Université Paris Descartes, 75006 Paris, France
- Sorbonne Paris Cité, Université Paris Diderot, 75013 Paris, France
- UF Hormonologie adulte, Hôpital Cochin, AP HP, 75006 Paris, France
- Correspondence: (D.G.-Z.); (M.-C.M.)
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Holzlechner M, Eugenin E, Prideaux B. Mass spectrometry imaging to detect lipid biomarkers and disease signatures in cancer. Cancer Rep (Hoboken) 2019; 2:e1229. [PMID: 32729258 PMCID: PMC7941519 DOI: 10.1002/cnr2.1229] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 11/04/2019] [Accepted: 11/07/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Current methods to identify, classify, and predict tumor behavior mostly rely on histology, immunohistochemistry, and molecular determinants. However, better predictive markers are required for tumor diagnosis and evaluation. Due, in part, to recent technological advancements, metabolomics and lipid biomarkers have become a promising area in cancer research. Therefore, there is a necessity for novel and complementary techniques to identify and visualize these molecular markers within tumors and surrounding tissue. RECENT FINDINGS Since its introduction, mass spectrometry imaging (MSI) has proven to be a powerful tool for mapping analytes in biological tissues. By adding the label-free specificity of mass spectrometry to the detailed spatial information of traditional histology, hundreds of lipids can be imaged simultaneously within a tumor. MSI provides highly detailed lipid maps for comparing intra-tumor, tumor margin, and healthy regions to identify biomarkers, patterns of disease, and potential therapeutic targets. In this manuscript, recent advancement in sample preparation and MSI technologies are discussed with special emphasis on cancer lipid research to identify tumor biomarkers. CONCLUSION MSI offers a unique approach for biomolecular characterization of tumor tissues and provides valuable complementary information to histology for lipid biomarker discovery and tumor classification in clinical and research cancer applications.
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Affiliation(s)
- Matthias Holzlechner
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
| | - Eliseo Eugenin
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
| | - Brendan Prideaux
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
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Djuric U, Lam KHB, Kao J, Batruch I, Jevtic S, Papaioannou MD, Diamandis P. Defining Protein Pattern Differences Among Molecular Subtypes of Diffuse Gliomas Using Mass Spectrometry. Mol Cell Proteomics 2019; 18:2029-2043. [PMID: 31353322 PMCID: PMC6773564 DOI: 10.1074/mcp.ra119.001521] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 07/09/2019] [Indexed: 12/18/2022] Open
Abstract
Molecular characterization of diffuse gliomas has thus far largely focused on genomic and transcriptomic interrogations. Here, we utilized mass spectrometry and overlay protein-level information onto genomically defined cohorts of diffuse gliomas to improve our downstream molecular understanding of these lethal malignancies. Bulk and macrodissected tissues were utilized to quantitate 5,496 unique proteins over three glioma cohorts subclassified largely based on their IDH and 1p19q codeletion status (IDH wild type (IDHwt), n = 7; IDH mutated (IDHmt), 1p19q non-codeleted, n = 7; IDH mutated, 1p19q-codeleted, n = 10). Clustering analysis highlighted proteome and systems-level pathway differences in gliomas according to IDH and 1p19q-codeletion status, including 287 differentially abundant proteins in macrodissection-enriched tumor specimens. IDHwt tumors were enriched for proteins involved in invasiveness and epithelial to mesenchymal transition (EMT), while IDHmt gliomas had increased abundances of proteins involved in mRNA splicing. Finally, these abundance changes were compared with IDH-matched GBM stem-like cells (GSCs) to better pinpoint protein patterns enriched in putative cellular drivers of gliomas. Using this integrative approach, we outline specific proteins involved in chloride transport (e.g. chloride intracellular channel 1, CLIC1) and EMT (e.g. procollagen-lysine, 2-oxoglutarate 5-dioxygenase 3, PLOD3, and serpin peptidase inhibitor clade H member 1, SERPINH1) that showed concordant IDH-status-dependent abundance differences in both primary tissue and purified GSC cultures. Given the downstream position proteins occupy in driving biology and phenotype, understanding the proteomic patterns operational in distinct glioma subtypes could help propose more specific, personalized, and effective targets for the management of patients with these aggressive malignancies.
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Affiliation(s)
- Ugljesa Djuric
- Princess Margaret Cancer Centre, MacFeeters Hamilton Centre for Neuro-Oncology Research, College Street 101, Toronto, Ontario, M5G 1L7, Canada; Laboratory Medicine Program, University Health Network, 200 Elizabeth Street, Toronto, ON, Toronto, Ontario, M5G 2C4, Canada
| | - K H Brian Lam
- Princess Margaret Cancer Centre, MacFeeters Hamilton Centre for Neuro-Oncology Research, College Street 101, Toronto, Ontario, M5G 1L7, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, M5S 1A8, Canada
| | - Jennifer Kao
- Princess Margaret Cancer Centre, MacFeeters Hamilton Centre for Neuro-Oncology Research, College Street 101, Toronto, Ontario, M5G 1L7, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, M5S 1A8, Canada
| | - Ihor Batruch
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, M5G 1X5, Canada
| | - Stefan Jevtic
- Princess Margaret Cancer Centre, MacFeeters Hamilton Centre for Neuro-Oncology Research, College Street 101, Toronto, Ontario, M5G 1L7, Canada
| | - Michail-Dimitrios Papaioannou
- Princess Margaret Cancer Centre, MacFeeters Hamilton Centre for Neuro-Oncology Research, College Street 101, Toronto, Ontario, M5G 1L7, Canada; Laboratory Medicine Program, University Health Network, 200 Elizabeth Street, Toronto, ON, Toronto, Ontario, M5G 2C4, Canada
| | - Phedias Diamandis
- Princess Margaret Cancer Centre, MacFeeters Hamilton Centre for Neuro-Oncology Research, College Street 101, Toronto, Ontario, M5G 1L7, Canada; Laboratory Medicine Program, University Health Network, 200 Elizabeth Street, Toronto, ON, Toronto, Ontario, M5G 2C4, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, M5S 1A8, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, M5G 1L7, Canada.
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24
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Cardon T, Salzet M, Franck J, Fournier I. Nuclei of HeLa cells interactomes unravel a network of ghost proteins involved in proteins translation. Biochim Biophys Acta Gen Subj 2019; 1863:1458-1470. [PMID: 31128158 DOI: 10.1016/j.bbagen.2019.05.009] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 04/18/2019] [Accepted: 05/14/2019] [Indexed: 11/29/2022]
Abstract
Ghost proteins are issued from alternative Open Reading Frames (ORFs) and are missing a genome annotation. Indeed, historical filters applied for the detection of putative translated ORFs led to a wrong classification of transcripts considered as non-coding although translated proteins can be detected by proteomics. This Ghost (also called Alternative) proteome was neglected, and one major issue is to identify the implication of the Ghost proteins in the biological processes. In this context, we aimed to identify the protein-protein interactions (PPIs) of the Ghost proteins. For that, we re-explored a cross-link MS study performed on nuclei of HeLa cells using cross-linking mass spectrometry (XL-MS) associated with the HaltOrf database. Among 1679 cross-link interactions identified, 292 are involving Ghost Proteins. Forty-Four of these Ghost proteins are found to interact with 7 Reference proteins related to ribonucleoproteins, ribosome subunits and zinc finger proteins network. We, thus, have focused our attention on the heterotrimer between the RE/poly(U)-binding/degradation factor 1 (AUF1), the Ribosomal protein 10 (RPL10) and AltATAD2. Using I-Tasser software we performed docking models from which we could suggest the attachment of AUF1 on the external part of RPL10 and the interaction of AltATAD2 on the RPL10 region interacting with 5S ribosomal RNA as a mechanism of regulation of the ribosome. Taken together, these results reveal the importance of Ghost Proteins within known protein interaction networks.
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Affiliation(s)
- Tristan Cardon
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France
| | - Michel Salzet
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France.
| | - Julien Franck
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France.
| | - Isabelle Fournier
- Inserm, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France.
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25
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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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26
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Carter CL, Hankey KG, Booth C, Tudor GL, Parker GA, Jones JW, Farese AM, MacVittie TJ, Kane MA. Characterizing the Natural History of Acute Radiation Syndrome of the Gastrointestinal Tract: Combining High Mass and Spatial Resolution Using MALDI-FTICR-MSI. HEALTH PHYSICS 2019; 116:454-472. [PMID: 30681424 PMCID: PMC6384159 DOI: 10.1097/hp.0000000000000948] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
The acute radiation syndrome of the gastrointestinal tract has been histologically characterized, but the molecular and functional mechanisms that lead to these cellular alterations remain enigmatic. Mass spectrometry imaging is the only technique that enables the simultaneous detection and cellular or regional localization of hundreds of biomolecules in a single experiment. This current study utilized matrix-assisted laser desorption/ionization mass spectrometry imaging for the molecular characterization of the first natural history study of gastrointestinal acute radiation syndrome in the nonhuman primate. Jejunum samples were collected at days 4, 8, 11, 15, and 21 following 12-Gy partial-body irradiation with 2.5% bone marrow sparing. Mass spectrometry imaging investigations identified alterations in lipid species that further understanding of the functional alterations that occur over time in the different cellular regions of the jejunum following exposure to high doses of irradiation. Alterations in phosphatidylinositol species informed on dysfunctional epithelial cell differentiation and maturation. Differences in glycosphingolipids of the villi epithelium that would influence the absorptive capacity and functional structure of the brush border membrane were detected. Dichotomous alterations in cardiolipins indicated altered structural and functional integrity of mitochondria. Phosphatidylglycerol species, known regulators of toll-like receptors, were detected and localized to regions in the lamina propria that contained distinct immune cell populations. These results provide molecular insight that can inform on injury mechanism in a nonhuman primate model of the acute radiation syndrome of the gastrointestinal tract. Findings may contribute to the identification of therapeutic targets and the development of new medical countermeasures.
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Affiliation(s)
- Claire L. Carter
- University of Maryland, School of Pharmacy, Department of Pharmaceutical Sciences, Baltimore, MD USA
| | - Kim G. Hankey
- University of Maryland, School of Medicine, Department of Radiation Oncology, Baltimore, MD USA
| | | | | | - George A. Parker
- Charles River Laboratories, Pathology Associates, Raleigh-Durham, North Carolina, USA
| | - Jace W. Jones
- University of Maryland, School of Pharmacy, Department of Pharmaceutical Sciences, Baltimore, MD USA
| | - Ann M. Farese
- University of Maryland, School of Medicine, Department of Radiation Oncology, Baltimore, MD USA
| | - Thomas J. MacVittie
- University of Maryland, School of Medicine, Department of Radiation Oncology, Baltimore, MD USA
| | - Maureen A. Kane
- University of Maryland, School of Pharmacy, Department of Pharmaceutical Sciences, Baltimore, MD USA
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27
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Neagu AN. Proteome Imaging: From Classic to Modern Mass Spectrometry-Based Molecular Histology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1140:55-98. [PMID: 31347042 DOI: 10.1007/978-3-030-15950-4_4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
In order to overcome the limitations of classic imaging in Histology during the actually era of multiomics, the multi-color "molecular microscope" by its emerging "molecular pictures" offers quantitative and spatial information about thousands of molecular profiles without labeling of potential targets. Healthy and diseased human tissues, as well as those of diverse invertebrate and vertebrate animal models, including genetically engineered species and cultured cells, can be easily analyzed by histology-directed MALDI imaging mass spectrometry. The aims of this review are to discuss a range of proteomic information emerging from MALDI mass spectrometry imaging comparative to classic histology, histochemistry and immunohistochemistry, with applications in biology and medicine, concerning the detection and distribution of structural proteins and biological active molecules, such as antimicrobial peptides and proteins, allergens, neurotransmitters and hormones, enzymes, growth factors, toxins and others. The molecular imaging is very well suited for discovery and validation of candidate protein biomarkers in neuroproteomics, oncoproteomics, aging and age-related diseases, parasitoproteomics, forensic, and ecotoxicology. Additionally, in situ proteome imaging may help to elucidate the physiological and pathological mechanisms involved in developmental biology, reproductive research, amyloidogenesis, tumorigenesis, wound healing, neural network regeneration, matrix mineralization, apoptosis and oxidative stress, pain tolerance, cell cycle and transformation under oncogenic stress, tumor heterogeneity, behavior and aggressiveness, drugs bioaccumulation and biotransformation, organism's reaction against environmental penetrating xenobiotics, immune signaling, assessment of integrity and functionality of tissue barriers, behavioral biology, and molecular origins of diseases. MALDI MSI is certainly a valuable tool for personalized medicine and "Eco-Evo-Devo" integrative biology in the current context of global environmental challenges.
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Affiliation(s)
- Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania.
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28
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Taverna D, Mignogna C, Santise G, Gaspari M, Cuda G. On‐Tissue Hydrogel‐Mediated Nondestructive Proteomic Characterization: Application to fr/fr and FFPE Tissues and Insights for Quantitative Proteomics Using a Case of Cardiac Myxoma. Proteomics Clin Appl 2018; 13:e1700167. [DOI: 10.1002/prca.201700167] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 10/10/2018] [Indexed: 11/12/2022]
Affiliation(s)
- Domenico Taverna
- Research Center for Advanced Biochemistry and Molecular BiologyDepartment of Experimental and Clinical MedicineMagna Graecia University of CatanzaroCampus “S. Venuta,”Viale EuropaLoc. Germaneto 88100 Catanzaro Italy
| | - Chiara Mignogna
- Department of Health ScienceInterdepartmental Service CentreMagna Graecia University of CatanzaroViale Europa 88100 Catanzaro Italy
| | - Gianluca Santise
- Cardiothoracic Surgery UnitSant'Anna Hospital 88100 Catanzaro Italy
| | - Marco Gaspari
- Research Center for Advanced Biochemistry and Molecular BiologyDepartment of Experimental and Clinical MedicineMagna Graecia University of CatanzaroCampus “S. Venuta,”Viale EuropaLoc. Germaneto 88100 Catanzaro Italy
| | - Giovanni Cuda
- Research Center for Advanced Biochemistry and Molecular BiologyDepartment of Experimental and Clinical MedicineMagna Graecia University of CatanzaroCampus “S. Venuta,”Viale EuropaLoc. Germaneto 88100 Catanzaro Italy
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29
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Saudemont P, Quanico J, Robin YM, Baud A, Balog J, Fatou B, Tierny D, Pascal Q, Minier K, Pottier M, Focsa C, Ziskind M, Takats Z, Salzet M, Fournier I. Real-Time Molecular Diagnosis of Tumors Using Water-Assisted Laser Desorption/Ionization Mass Spectrometry Technology. Cancer Cell 2018; 34:840-851.e4. [PMID: 30344004 DOI: 10.1016/j.ccell.2018.09.009] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 07/08/2018] [Accepted: 09/21/2018] [Indexed: 11/20/2022]
Abstract
Histopathological diagnosis of biopsy samples and margin assessment of surgical specimens are challenging aspects in sarcoma. Using dog patient tissues, we assessed the performance of a recently developed technology for fast ex vivo molecular lipid-based diagnosis of sarcomas. The instrument is based on mass spectrometry (MS) molecular analysis through a laser microprobe operating under ambient conditions using excitation of endogenous water molecules. Classification models based on cancer/normal/necrotic, tumor grade, and subtypes showed a minimum of 97.63% correct classification. Specific markers of normal, cancer, and necrotic regions were identified by tandem MS and validated by MS imaging. Real-time detection capabilities were demonstrated by ex vivo analysis with direct interrogation of classification models.
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Affiliation(s)
- Philippe Saudemont
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France; SATT-Nord, Immeuble Central Gare, 4(ème) étage, 25 Avenue Charles St Venant, 59800 Lille, France
| | - Jusal Quanico
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France; Université de Lille, CNRS UMR 8523, Physique des Lasers Atomes et Molécules (PhLAM), 59655 Villeneuve d'Ascq Cedex, France
| | - Yves-Marie Robin
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; Unité de Pathologie Morphologique et Moléculaire, Centre Oscar Lambret, 3 Rue Frédéric Combemale, 59020 Lille Cedex, France
| | - Anna Baud
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France
| | - Julia Balog
- European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France; Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, Praed Street, London, NW1 1SQ, UK
| | - Benoit Fatou
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France
| | - Dominique Tierny
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; OCR (Oncovet Clinical Research), Parc Eurasanté Lille Métropole, 80 Rue du Dr Yersin, 59120 Loos, France
| | - Quentin Pascal
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; OCR (Oncovet Clinical Research), Parc Eurasanté Lille Métropole, 80 Rue du Dr Yersin, 59120 Loos, France
| | - Kevin Minier
- Oncovet, Avenue Paul Langevin, 59650 Villeneuve d'Ascq, France
| | - Mélissa Pottier
- Oncovet, Avenue Paul Langevin, 59650 Villeneuve d'Ascq, France
| | - Cristian Focsa
- Université de Lille, CNRS UMR 8523, Physique des Lasers Atomes et Molécules (PhLAM), 59655 Villeneuve d'Ascq Cedex, France
| | - Michael Ziskind
- Université de Lille, CNRS UMR 8523, Physique des Lasers Atomes et Molécules (PhLAM), 59655 Villeneuve d'Ascq Cedex, France
| | - Zoltan Takats
- European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France; Department of Surgery and Cancer, Imperial College London, St. Mary's Hospital, Praed Street, London, NW1 1SQ, UK.
| | - Michel Salzet
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France.
| | - Isabelle Fournier
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Faculté des Sciences, Campus Cité Scientifique, Bât SN3, 1er étage, 59655 Villeneuve d'Ascq Cedex, France; European Associated Laboratory Inserm-Imperial College of London, LANCET, 59655 Villeneuve d'Ascq Cedex, France.
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Mallah K, Quanico J, Trede D, Kobeissy F, Zibara K, Salzet M, Fournier I. Lipid Changes Associated with Traumatic Brain Injury Revealed by 3D MALDI-MSI. Anal Chem 2018; 90:10568-10576. [DOI: 10.1021/acs.analchem.8b02682] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Khalil Mallah
- INSERM, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France
- ER045, PRASE, Laboratory of Stem Cells, Department of Biology, Faculty of Sciences-I, Lebanese University, 6573-14 Beirut, Lebanon
| | - Jusal Quanico
- INSERM, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France
| | | | - Firas Kobeissy
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, 1107 2020 Beirut, Lebanon
| | - Kazem Zibara
- ER045, PRASE, Laboratory of Stem Cells, Department of Biology, Faculty of Sciences-I, Lebanese University, 6573-14 Beirut, Lebanon
| | - Michel Salzet
- INSERM, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France
| | - Isabelle Fournier
- INSERM, U1192 - Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Université de Lille, F-59000 Lille, France
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31
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Recent advances in sample pre-treatment for emerging methods in proteomic analysis. Talanta 2017; 174:738-751. [DOI: 10.1016/j.talanta.2017.06.056] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Revised: 06/14/2017] [Accepted: 06/19/2017] [Indexed: 12/21/2022]
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32
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Alberts D, Pottier C, Smargiasso N, Baiwir D, Mazzucchelli G, Delvenne P, Kriegsmann M, Kazdal D, Warth A, De Pauw E, Longuespée R. MALDI Imaging-Guided Microproteomic Analyses of Heterogeneous Breast Tumors-A Pilot Study. Proteomics Clin Appl 2017; 12. [DOI: 10.1002/prca.201700062] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 07/05/2017] [Indexed: 11/06/2022]
Affiliation(s)
- Deborah Alberts
- Laboratory of Mass Spectrometry (LSM) - MolSys; Department of Chemistry; University of Liège; Liege Belgium
| | - Charles Pottier
- Department of Pathology; GIGA Cancer; University of Liège Hospital; Liège Belgium
| | - Nicolas Smargiasso
- Laboratory of Mass Spectrometry (LSM) - MolSys; Department of Chemistry; University of Liège; Liege Belgium
| | | | - Gabriel Mazzucchelli
- Laboratory of Mass Spectrometry (LSM) - MolSys; Department of Chemistry; University of Liège; Liege Belgium
| | - Philippe Delvenne
- Department of Pathology; GIGA Cancer; University of Liège Hospital; Liège Belgium
| | - Mark Kriegsmann
- Institute of Pathology; University of Heidelberg; Heidelberg Germany
| | - Daniel Kazdal
- Institute of Pathology; University of Heidelberg; Heidelberg Germany
| | - Arne Warth
- Institute of Pathology; University of Heidelberg; Heidelberg Germany
| | - Edwin De Pauw
- Laboratory of Mass Spectrometry (LSM) - MolSys; Department of Chemistry; University of Liège; Liege Belgium
| | - Rémi Longuespée
- Laboratory of Mass Spectrometry (LSM) - MolSys; Department of Chemistry; University of Liège; Liege Belgium
- Institute of Pathology; University of Heidelberg; Heidelberg Germany
- Proteopath GmbH; Trier Germany
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33
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Centeno D, Vénien A, Pujos-Guillot E, Astruc T, Chambon C, Théron L. Myofiber metabolic type determination by mass spectrometry imaging. JOURNAL OF MASS SPECTROMETRY : JMS 2017; 52:493-496. [PMID: 28776864 DOI: 10.1002/jms.3957] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 05/29/2017] [Accepted: 06/01/2017] [Indexed: 06/07/2023]
Abstract
Matrix assisted laser desorption/ionization (MALDI) mass spectrometry imaging is a powerful tool that opens new research opportunities in the field of biology. In this work, predictive model was developed to discriminate metabolic myofiber types using the MALDI spectral data. Rat skeletal muscles are constituted of type I and type IIA fiber, which have an oxidative metabolism for glycogen degradation, and type IIX and type IIB fiber which have a glycolytic metabolism, present in different proportions according to the muscle function and physiological state. So far, myofiber type is determined by histological methods that are time consuming. Thanks to the predictive model, we were able to predict not only the metabolic fiber type but also their location, on the same muscle section that was used for MALDI imaging. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Delphine Centeno
- Institut National de la Recherche Agronomique (INRA) Université Clermont Auvergne, UNH, Plateforme d'Exploration du Métabolisme (PFEM), Université Clermont Auvergne, F-63000, Clermont-Ferrand, France
| | - Annie Vénien
- Institut National de la Recherche Agronomique (INRA) Auvergne-Rhône-Alpes, UR370 Qualité des Produits Animaux, Université Clermont Auvergne, F-63122, Saint-Genès-Champanelle, France
| | - Estelle Pujos-Guillot
- Institut National de la Recherche Agronomique (INRA) Université Clermont Auvergne, UNH, Plateforme d'Exploration du Métabolisme (PFEM), Université Clermont Auvergne, F-63000, Clermont-Ferrand, France
| | - Thierry Astruc
- Institut National de la Recherche Agronomique (INRA) Auvergne-Rhône-Alpes, UR370 Qualité des Produits Animaux, Université Clermont Auvergne, F-63122, Saint-Genès-Champanelle, France
| | - Christophe Chambon
- Institut National de la Recherche Agronomique (INRA) Université Clermont Auvergne, UNH, Plateforme d'Exploration du Métabolisme (PFEM), Université Clermont Auvergne, F-63000, Clermont-Ferrand, France
- Institut National de la Recherche Agronomique (INRA) Auvergne-Rhône-Alpes, UR370 Qualité des Produits Animaux, Université Clermont Auvergne, F-63122, Saint-Genès-Champanelle, France
| | - Laëtitia Théron
- Institut National de la Recherche Agronomique (INRA) Université Clermont Auvergne, UNH, Plateforme d'Exploration du Métabolisme (PFEM), Université Clermont Auvergne, F-63000, Clermont-Ferrand, France
- Institut National de la Recherche Agronomique (INRA) Auvergne-Rhône-Alpes, UR370 Qualité des Produits Animaux, Université Clermont Auvergne, F-63122, Saint-Genès-Champanelle, France
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Scifo E, Calza G, Fuhrmann M, Soliymani R, Baumann M, Lalowski M. Recent advances in applying mass spectrometry and systems biology to determine brain dynamics. Expert Rev Proteomics 2017; 14:545-559. [PMID: 28539064 DOI: 10.1080/14789450.2017.1335200] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
INTRODUCTION Neurological disorders encompass various pathologies which disrupt normal brain physiology and function. Poor understanding of their underlying molecular mechanisms and their societal burden argues for the necessity of novel prevention strategies, early diagnostic techniques and alternative treatment options to reduce the scale of their expected increase. Areas covered: This review scrutinizes mass spectrometry based approaches used to investigate brain dynamics in various conditions, including neurodegenerative and neuropsychiatric disorders. Different proteomics workflows for isolation/enrichment of specific cell populations or brain regions, sample processing; mass spectrometry technologies, for differential proteome quantitation, analysis of post-translational modifications and imaging approaches in the brain are critically deliberated. Future directions, including analysis of cellular sub-compartments, targeted MS platforms (selected/parallel reaction monitoring) and use of mass cytometry are also discussed. Expert commentary: Here, we summarize and evaluate current mass spectrometry based approaches for determining brain dynamics in health and diseases states, with a focus on neurological disorders. Furthermore, we provide insight on current trends and new MS technologies with potential to improve this analysis.
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Affiliation(s)
- Enzo Scifo
- a Department of Psychiatry, and of Pharmacology and Toxicology , University of Toronto, Campbell Family Mental Health Research Institute of CAMH , Toronto , Canada
| | - Giulio Calza
- b Medicum, Meilahti Clinical Proteomics Core Facility, Biochemistry/Developmental Biology, Faculty of Medicine , FI-00014 University of Helsinki , Helsinki , Finland
| | - Martin Fuhrmann
- c Neuroimmunology and Imaging Group , German Center for Neurodegenerative Diseases (DZNE) , Bonn , Germany
| | - Rabah Soliymani
- b Medicum, Meilahti Clinical Proteomics Core Facility, Biochemistry/Developmental Biology, Faculty of Medicine , FI-00014 University of Helsinki , Helsinki , Finland
| | - Marc Baumann
- b Medicum, Meilahti Clinical Proteomics Core Facility, Biochemistry/Developmental Biology, Faculty of Medicine , FI-00014 University of Helsinki , Helsinki , Finland
| | - Maciej Lalowski
- b Medicum, Meilahti Clinical Proteomics Core Facility, Biochemistry/Developmental Biology, Faculty of Medicine , FI-00014 University of Helsinki , Helsinki , Finland
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