1
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Zemaitis KJ, Fulcher JM, Kumar R, Degnan DJ, Lewis LA, Liao YC, Veličković M, Williams SM, Moore RJ, Bramer LM, Veličković D, Zhu Y, Zhou M, Paša-Tolić L. Spatial top-down proteomics for the functional characterization of human kidney. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.13.580062. [PMID: 38405958 PMCID: PMC10888776 DOI: 10.1101/2024.02.13.580062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Background The Human Proteome Project has credibly detected nearly 93% of the roughly 20,000 proteins which are predicted by the human genome. However, the proteome is enigmatic, where alterations in amino acid sequences from polymorphisms and alternative splicing, errors in translation, and post-translational modifications result in a proteome depth estimated at several million unique proteoforms. Recently mass spectrometry has been demonstrated in several landmark efforts mapping the human proteoform landscape in bulk analyses. Herein, we developed an integrated workflow for characterizing proteoforms from human tissue in a spatially resolved manner by coupling laser capture microdissection, nanoliter-scale sample preparation, and mass spectrometry imaging. Results Using healthy human kidney sections as the case study, we focused our analyses on the major functional tissue units including glomeruli, tubules, and medullary rays. After laser capture microdissection, these isolated functional tissue units were processed with microPOTS (microdroplet processing in one-pot for trace samples) for sensitive top-down proteomics measurement. This provided a quantitative database of 616 proteoforms that was further leveraged as a library for mass spectrometry imaging with near-cellular spatial resolution over the entire section. Notably, several mitochondrial proteoforms were found to be differentially abundant between glomeruli and convoluted tubules, and further spatial contextualization was provided by mass spectrometry imaging confirming unique differences identified by microPOTS, and further expanding the field-of-view for unique distributions such as enhanced abundance of a truncated form (1-74) of ubiquitin within cortical regions. Conclusions We developed an integrated workflow to directly identify proteoforms and reveal their spatial distributions. Where of the 20 differentially abundant proteoforms identified as discriminate between tubules and glomeruli by microPOTS, the vast majority of tubular proteoforms were of mitochondrial origin (8 of 10) where discriminate proteoforms in glomeruli were primarily hemoglobin subunits (9 of 10). These trends were also identified within ion images demonstrating spatially resolved characterization of proteoforms that has the potential to reshape discovery-based proteomics because the proteoforms are the ultimate effector of cellular functions. Applications of this technology have the potential to unravel etiology and pathophysiology of disease states, informing on biologically active proteoforms, which remodel the proteomic landscape in chronic and acute disorders.
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Affiliation(s)
- Kevin J. Zemaitis
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - James M. Fulcher
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Rashmi Kumar
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - David J. Degnan
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Logan A. Lewis
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Yen-Chen Liao
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Marija Veličković
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Sarah M. Williams
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Ronald J. Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Lisa M. Bramer
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Dušan Veličković
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Ying Zhu
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Mowei Zhou
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
| | - Ljiljana Paša-Tolić
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, United States
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2
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Das D, Mattaparthi VSK. Computational investigation on the conformational dynamics of C-terminal truncated α-synuclein bound to membrane. J Biomol Struct Dyn 2024:1-13. [PMID: 38321955 DOI: 10.1080/07391102.2024.2310788] [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: 10/17/2023] [Accepted: 01/22/2024] [Indexed: 02/08/2024]
Abstract
Accelerated progression rates in Parkinson's disease (PD) have been linked to C-terminal domain (CTD) truncations of monomeric α-Synuclein (α-Syn), which have been suggested to increase amyloid aggregation in vivo and in vitro. In the brain of PD patients, CTD truncated α-Syn was found to have lower cell viability and tends to increase in the formation of fibrils. The CTD of α-Syn acts as a guard for regulating the normal functioning of α-Syn. The absence of the CTD may allow the N-terminal of α-Syn to interact with the membrane thereby affecting the normal functioning of α-Syn, and all of which will affect the etiology of PD. In this study, the conformational dynamics of CTD truncated α-Syn (1-99 and 1-108) monomers and their effect on the protein-membrane interactions were demonstrated using the all-atom molecular dynamics (MD) simulation method. From the MD analyses, it was noticed that among the two truncated monomers, α-Syn (1-108) was found to be more stable, shows rigidness at the N-terminal region and contains a significant number of intermolecular hydrogen bonds between the non-amyloid β-component (NAC) region and membrane, and lesser number of extended strands. Further, the bending angle in the N-terminal domain was found to be lesser in the α-Syn (1-108) in comparison with the α-Syn (1-99). Our findings suggest that the truncation on the CTD of α-Syn affects its interaction with the membrane and subsequently has an impact on the aggregation.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Dorothy Das
- Molecular Modelling and Simulation Laboratory, Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam, India
| | - Venkata Satish Kumar Mattaparthi
- Molecular Modelling and Simulation Laboratory, Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam, India
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3
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Levasseur M, Nicol E, Elie N, Houël E, Eparvier V, Touboul D. Spatialized Metabolomic Annotation Combining MALDI Imaging and Molecular Networks. Anal Chem 2024; 96:18-22. [PMID: 38134413 DOI: 10.1021/acs.analchem.3c03482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
MALDI mass spectrometry imaging has gained major interest in the field of chemical imaging. This technique makes it possible to locate tens to hundreds of ionic signals on the sample surface without any a priori. One of the current challenges is still the limited ability to annotate signals in order to convert m/z values into probable chemical structures. At the same time, data obtained by LC-MS/MS have benefited from the development of numerous chemoinformatics tools, in particular molecular networks, for their efficient annotation. For the first time, we present here the combination of MALDI-FT-ICR imaging with molecular networks from MALDI-MS/MS data directly acquired on plant tissue sections. Annotation improvements are demonstrated, paving the way for new annotation pipelines for MALDI imaging.
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Affiliation(s)
- Marceau Levasseur
- Université Paris-Saclay, CNRS, Institut de Chimie des Substances Naturelles, UPR 2301, 91198 Gif-sur-Yvette, France
| | - Edith Nicol
- Laboratoire de Chimie Moléculaire (LCM), CNRS, École Polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France
| | - Nicolas Elie
- Université Paris-Saclay, CNRS, Institut de Chimie des Substances Naturelles, UPR 2301, 91198 Gif-sur-Yvette, France
| | - Emeline Houël
- Sorbonne Université, CNRS, Laboratoire de Biodiversité et Biotechnologies Microbiennes, LBBM, Observatoire Océanologique, 66 650 Banyuls-sur-Mer, France
| | - Véronique Eparvier
- Université Paris-Saclay, CNRS, Institut de Chimie des Substances Naturelles, UPR 2301, 91198 Gif-sur-Yvette, France
| | - David Touboul
- Université Paris-Saclay, CNRS, Institut de Chimie des Substances Naturelles, UPR 2301, 91198 Gif-sur-Yvette, France
- Laboratoire de Chimie Moléculaire (LCM), CNRS, École Polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France
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4
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Scandella V, Petrelli F, Moore DL, Braun SMG, Knobloch M. Neural stem cell metabolism revisited: a critical role for mitochondria. Trends Endocrinol Metab 2023; 34:446-461. [PMID: 37380501 DOI: 10.1016/j.tem.2023.05.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/29/2023] [Accepted: 05/30/2023] [Indexed: 06/30/2023]
Abstract
Metabolism has emerged as a key regulator of stem cell behavior. Mitochondria are crucial metabolic organelles that are important for differentiated cells, yet considered less so for stem cells. However, recent studies have shown that mitochondria influence stem cell maintenance and fate decisions, inviting a revised look at this topic. In this review, we cover the current literature addressing the role of mitochondrial metabolism in mouse and human neural stem cells (NSCs) in the embryonic and adult brain. We summarize how mitochondria are implicated in fate regulation and how substrate oxidation affects NSC quiescence. We further explore single-cell RNA sequencing (scRNA-seq) data for metabolic signatures of adult NSCs, highlight emerging technologies reporting on metabolic signatures, and discuss mitochondrial metabolism in other stem cells.
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Affiliation(s)
- Valentina Scandella
- Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
| | - Francesco Petrelli
- Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
| | - Darcie L Moore
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Simon M G Braun
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland
| | - Marlen Knobloch
- Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland.
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5
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Yadikar H, Johnson C, Pafundi N, Nguyen L, Kurup M, Torres I, Al-Enezy A, Yang Z, Yost R, Kobeissy FH, Wang KKW. Neurobiochemical, Peptidomic, and Bioinformatic Approaches to Characterize Tauopathy Peptidome Biomarker Candidates in Experimental Mouse Model of Traumatic Brain Injury. Mol Neurobiol 2023; 60:2295-2319. [PMID: 36635478 DOI: 10.1007/s12035-022-03165-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 12/10/2022] [Indexed: 01/14/2023]
Abstract
Traumatic brain injury (TBI) is a multidimensional damage, and currently, no FDA-approved medicine is available. Multiple pathways in the cell are triggered through a head injury (e.g., calpain and caspase activation), which truncate tau and generate variable fragment sizes (MW 400-45,000 K). In this study, we used an open-head TBI mouse model generated by controlled cortical impact (CCI) and collected ipsilateral (IC) and contralateral (CC) mice htau brain cortices at one (D1) three (D3), and seven (D7) days post-injury. We implemented immunological (antibody-based detection) and peptidomic approaches (nano-reversed-phase liquid chromatography/tandem mass spectrometry) to investigate proteolytic tau peptidome (low molecular weight (LMW) < 10 K)) and pathological phosphorylation sites (high-molecular-weight (HMW); > 10 K) derived from CCI-TBI animal models. Our immunoblotting analysis verified tau hyperphosphorylation, HMW, and HMW breakdown products (HMW-BDP) formation of tau (e.g., pSer202, pThr181, pThr231, pSer396, and pSer404), following CCI-TBI. Peptidomic data revealed unique sequences of injury-dependent proteolytic peptides generated from human tau protein. Among the N-terminal tau peptides, EIPEGTTAEEAGIGDTPSLEDEAAGHVTQA (a.a. 96-125) and AQPHTEIPEGTTAEEAGIGDTPSLEDEAAGHVTQARM (a.a. 91-127). Examples of tau C-terminal peptides identified include NVSSTGSIDMVDSPQLATLADEVSASLAKQGL (a.a. 410-441) and QLATLADEVSASLAKQGL (a.a. 424-441). Our peptidomic bioinformatic tools showed the association of proteases, such as CAPN1, CAPN2, and CTSL; CASP1, MMP7, and MMP9; and ELANE, GZMA, and MEP1A, in CCI-TBI tau peptidome. In clinical trials for novel TBI treatments, it might be useful to monitor a subset of tau peptidome as targets for biomarker utility and use them for a "theranostic" approach.
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Affiliation(s)
- Hamad Yadikar
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait.
| | - Connor Johnson
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Niko Pafundi
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Lynn Nguyen
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Milin Kurup
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Isabel Torres
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Albandery Al-Enezy
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Zhihui Yang
- Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait, Kuwait
| | - Richard Yost
- Department of Chemistry, Chemistry Laboratory Building, University of Florida, Gainesville, FL, 32611, USA
| | - Firas H Kobeissy
- Program for Neurotrauma, Neuroproteomics & Biomarkers Research, Departments of Emergency Medicine, Psychiatry, Neuroscience and Chemistry, University of Florida, Gainesville, FL, USA. .,Department of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon. .,Morehouse School of Medicine, Department of Neurobiology, Center for Neurotrauma, Multiomics & Biomarkers (CNMB), 720 Westview Dr. SW, Atlanta, GA, 30310, USA.
| | - Kevin K W Wang
- Program for Neurotrauma, Neuroproteomics & Biomarkers Research, Departments of Emergency Medicine, Psychiatry, Neuroscience and Chemistry, University of Florida, Gainesville, FL, USA. .,Morehouse School of Medicine, Department of Neurobiology, Center for Neurotrauma, Multiomics & Biomarkers (CNMB), 720 Westview Dr. SW, Atlanta, GA, 30310, USA. .,Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, FL, 32608, USA.
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6
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Yang M, Unsihuay D, Hu H, Nguele Meke F, Qu Z, Zhang ZY, Laskin J. Nano-DESI Mass Spectrometry Imaging of Proteoforms in Biological Tissues with High Spatial Resolution. Anal Chem 2023; 95:5214-5222. [PMID: 36917636 DOI: 10.1021/acs.analchem.2c04795] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Mass spectrometry imaging (MSI) is a powerful tool for label-free mapping of the spatial distribution of proteins in biological tissues. We have previously demonstrated imaging of individual proteoforms in biological tissues using nanospray desorption electrospray ionization (nano-DESI), an ambient liquid extraction-based MSI technique. Nano-DESI MSI generates multiply charged protein ions, which is advantageous for their identification using top-down proteomics analysis. In this study, we demonstrate proteoform mapping in biological tissues with a spatial resolution down to 7 μm using nano-DESI MSI. A substantial decrease in protein signals observed in high-spatial-resolution MSI makes these experiments challenging. We have enhanced the sensitivity of nano-DESI MSI experiments by optimizing the design of the capillary-based probe and the thickness of the tissue section. In addition, we demonstrate that oversampling may be used to further improve spatial resolution at little or no expense to sensitivity. These developments represent a new step in MSI-based spatial proteomics, which complements targeted imaging modalities widely used for studying biological systems.
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Affiliation(s)
- Manxi Yang
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Daisy Unsihuay
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Hang Hu
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Frederick Nguele Meke
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, Indiana 47907, United States
| | - Zihan Qu
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.,Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, Indiana 47907, United States
| | - Zhong-Yin Zhang
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.,Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, Indiana 47907, United States
| | - Julia Laskin
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
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7
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Nickerson JL, Baghalabadi V, Rajendran SRCK, Jakubec PJ, Said H, McMillen TS, Dang Z, Doucette AA. Recent advances in top-down proteome sample processing ahead of MS analysis. MASS SPECTROMETRY REVIEWS 2023; 42:457-495. [PMID: 34047392 DOI: 10.1002/mas.21706] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/21/2021] [Accepted: 05/06/2021] [Indexed: 06/12/2023]
Abstract
Top-down proteomics is emerging as a preferred approach to investigate biological systems, with objectives ranging from the detailed assessment of a single protein therapeutic, to the complete characterization of every possible protein including their modifications, which define the human proteoform. Given the controlling influence of protein modifications on their biological function, understanding how gene products manifest or respond to disease is most precisely achieved by characterization at the intact protein level. Top-down mass spectrometry (MS) analysis of proteins entails unique challenges associated with processing whole proteins while maintaining their integrity throughout the processes of extraction, enrichment, purification, and fractionation. Recent advances in each of these critical front-end preparation processes, including minimalistic workflows, have greatly expanded the capacity of MS for top-down proteome analysis. Acknowledging the many contributions in MS technology and sample processing, the present review aims to highlight the diverse strategies that have forged a pathway for top-down proteomics. We comprehensively discuss the evolution of front-end workflows that today facilitate optimal characterization of proteoform-driven biology, including a brief description of the clinical applications that have motivated these impactful contributions.
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Affiliation(s)
| | - Venus Baghalabadi
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Subin R C K Rajendran
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
- Verschuren Centre for Sustainability in Energy and the Environment, Sydney, Nova Scotia, Canada
| | - Philip J Jakubec
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Hammam Said
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Teresa S McMillen
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Ziheng Dang
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Alan A Doucette
- Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada
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8
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Spatially Resolved Top-Down Proteomics of Tissue Sections Based on a Microfluidic Nanodroplet Sample Preparation Platform. Mol Cell Proteomics 2023; 22:100491. [PMID: 36603806 PMCID: PMC9944986 DOI: 10.1016/j.mcpro.2022.100491] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 12/10/2022] [Accepted: 12/20/2022] [Indexed: 01/04/2023] Open
Abstract
Conventional proteomic approaches measure the averaged signal from mixed cell populations or bulk tissues, leading to the dilution of signals arising from subpopulations of cells that might serve as important biomarkers. Recent developments in bottom-up proteomics have enabled spatial mapping of cellular heterogeneity in tissue microenvironments. However, bottom-up proteomics cannot unambiguously define and quantify proteoforms, which are intact (i.e., functional) forms of proteins capturing genetic variations, alternatively spliced transcripts and posttranslational modifications. Herein, we described a spatially resolved top-down proteomics (TDP) platform for proteoform identification and quantitation directly from tissue sections. The spatial TDP platform consisted of a nanodroplet processing in one pot for trace samples-based sample preparation system and an laser capture microdissection-based cell isolation system. We improved the nanodroplet processing in one pot for trace samples sample preparation by adding benzonase in the extraction buffer to enhance the coverage of nucleus proteins. Using ∼200 cultured cells as test samples, this approach increased total proteoform identifications from 493 to 700; with newly identified proteoforms primarily corresponding to nuclear proteins. To demonstrate the spatial TDP platform in tissue samples, we analyzed laser capture microdissection-isolated tissue voxels from rat brain cortex and hypothalamus regions. We quantified 509 proteoforms within the union of top-down mass spectrometry-based proteoform identification and characterization and TDPortal identifications to match with features from protein mass extractor. Several proteoforms corresponding to the same gene exhibited mixed abundance profiles between two tissue regions, suggesting potential posttranslational modification-specific spatial distributions. The spatial TDP workflow has prospects for biomarker discovery at proteoform level from small tissue sections.
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9
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Claes BR, Krestensen KK, Yagnik G, Grgic A, Kuik C, Lim MJ, Rothschild KJ, Vandenbosch M, Heeren RMA. MALDI-IHC-Guided In-Depth Spatial Proteomics: Targeted and Untargeted MSI Combined. Anal Chem 2023; 95:2329-2338. [PMID: 36638208 PMCID: PMC9893213 DOI: 10.1021/acs.analchem.2c04220] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Recently, a novel technology was published, utilizing the strengths of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) and immunohistochemistry (IHC), achieving highly multiplexed, targeted imaging of biomolecules in tissue. This new technique, called MALDI-IHC, opened up workflows to target molecules of interest using MALDI-MSI that are usually targeted by standard IHC. In this paper, the utility of targeted MALDI-IHC and its complementarity with untargeted on-tissue bottom-up spatial proteomics is explored using breast cancer tissue. Furthermore, the MALDI-2 effect was investigated and demonstrated to improve MALDI-IHC. Formalin-fixed paraffin-embedded (FFPE) human breast cancer tissue sections were stained for multiplex MALDI-IHC with six photocleavable mass-tagged (PC-MT) antibodies constituting a breast cancer antibody panel (CD20, actin-αSM, HER2, CD68, vimentin, and panCK). K-means spatial clusters were created based on the MALDI-IHC images and cut out using laser-capture microdissection (LMD) for further untargeted LC-MS-based bottom-up proteomics analyses. Numerous peptides could be tentatively assigned to multiple proteins, of which three proteins were also part of the antibody panel (vimentin, keratins, and actin). Post-ionization with MALDI-2 showed an increased intensity of the PC-MTs and suggests options for the development of new mass-tags. Although the on-tissue digestion covered a wider range of proteins, the MALDI-IHC allowed for easy and straightforward identification of proteins that were not detected in untargeted approaches. The combination of the multiplexed MALDI-IHC with image-guided proteomics showed great potential to further investigate diseases by providing complementary information from the same tissue section and without the need for customized instrumentation.
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Affiliation(s)
- Britt
S. R. Claes
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Kasper K. Krestensen
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Gargey Yagnik
- AmberGen,
Inc., 44 Manning Road, Billerica, Massachusetts 01821, United States
| | - Andrej Grgic
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Christel Kuik
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Mark J. Lim
- AmberGen,
Inc., 44 Manning Road, Billerica, Massachusetts 01821, United States
| | - Kenneth J. Rothschild
- AmberGen,
Inc., 44 Manning Road, Billerica, Massachusetts 01821, United States,Molecular
Biophysics Laboratory, Department of Physics and Photonics Center, Boston University, Boston, Massachusetts 02215, United States
| | - Michiel Vandenbosch
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Ron M. A. Heeren
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands,
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10
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Mallah K, Zibara K, Kerbaj C, Eid A, Khoshman N, Ousseily Z, Kobeissy A, Cardon T, Cizkova D, Kobeissy F, Fournier I, Salzet M. Neurotrauma investigation through spatial omics guided by mass spectrometry imaging: Target identification and clinical applications. MASS SPECTROMETRY REVIEWS 2023; 42:189-205. [PMID: 34323300 DOI: 10.1002/mas.21719] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/04/2021] [Accepted: 07/11/2021] [Indexed: 06/13/2023]
Abstract
Traumatic brain injury (TBI) represents one of the major public health concerns worldwide due to the increase in TBI incidence as a result of injuries from daily life accidents such as sports and motor vehicle transportation as well as military-related practices. This type of central nervous system trauma is known to predispose patients to several neurological disorders such as Parkinson's disease, Alzheimer's disease, chronic trauamatic encephalopathy, and age-related Dementia. Recently, several proteomic and lipidomic platforms have been applied on different TBI studies to investigate TBI-related mechanisms that have broadened our understanding of its distinct neuropathological complications. In this study, we provide an updated comprehensive overview of the current knowledge and novel perspectives of the spatially resolved microproteomics and microlipidomics approaches guided by mass spectrometry imaging used in TBI studies and its applications in the neurotrauma field. In this regard, we will discuss the use of the spatially resolved microproteomics and assess the different microproteomic sampling methods such as laser capture microdissection, parafilm assisted microdissection, and liquid microjunction extraction as accurate and precise techniques in the field of neuroproteomics. Additionally, we will highlight lipid profiling applications and their prospective potentials in characterizing molecular processes involved in the field of TBI. Specifically, we will discuss the phospholipid metabolism acting as a precursor for proinflammatory molecules such as eicosanoids. Finally, we will survey the current state of spatial neuroproteomics and microproteomics applications and present the various studies highlighting their findings in these fields.
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Affiliation(s)
- Khalil Mallah
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, South Carolina, USA
- PRASE, Lebanese University, Beirut, Lebanon
- Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France
| | - Kazem Zibara
- PRASE, Lebanese University, Beirut, Lebanon
- Department of Biology, Faculty of Sciences-I, Lebanese University, Beirut, Lebanon
| | - Coline Kerbaj
- Department of Biology, Faculty of Sciences-I, Lebanese University, Beirut, Lebanon
| | - Ali Eid
- Department of Basic Medical Sciences, QU Health, Qatar University, Doha, Qatar
| | - Nour Khoshman
- Department of Biology, Faculty of Sciences-I, Lebanese University, Beirut, Lebanon
| | - Zahraa Ousseily
- Department of Biology, Faculty of Sciences-I, Lebanese University, Beirut, Lebanon
| | - Abir Kobeissy
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Tristan Cardon
- Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France
| | - Dasa Cizkova
- Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France
- Center for Experimental and Clinical Regenerative Medicine, University of Veterinary Medicine and Pharmacy in Košice, Košice, Slovakia
| | - Firas Kobeissy
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - 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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11
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Danko K, Lukasheva E, Zhukov VA, Zgoda V, Frolov A. Detergent-Assisted Protein Digestion-On the Way to Avoid the Key Bottleneck of Shotgun Bottom-Up Proteomics. Int J Mol Sci 2022; 23:13903. [PMID: 36430380 PMCID: PMC9695859 DOI: 10.3390/ijms232213903] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/02/2022] [Accepted: 11/05/2022] [Indexed: 11/16/2022] Open
Abstract
Gel-free bottom-up shotgun proteomics is the principal methodological platform for the state-of-the-art proteome research. This methodology assumes quantitative isolation of the total protein fraction from a complex biological sample, its limited proteolysis with site-specific proteases, analysis of the resulted peptides with nanoscaled reversed-phase high-performance liquid chromatography-(tandem) mass spectrometry (nanoRP-HPLC-MS and MS/MS), protein identification by sequence database search and peptide-based quantitative analysis. The most critical steps of this workflow are protein reconstitution and digestion; therefore, detergents and chaotropic agents are strongly mandatory to ensure complete solubilization of complex protein isolates and to achieve accessibility of all protease cleavage sites. However, detergents are incompatible with both RP separation and electrospray ionization (ESI). Therefore, to make LC-MS analysis possible, several strategies were implemented in the shotgun proteomics workflow. These techniques rely either on enzymatic digestion in centrifugal filters with subsequent evacuation of the detergent, or employment of MS-compatible surfactants, which can be degraded upon the digestion. In this review we comprehensively address all currently available strategies for the detergent-assisted proteolysis in respect of their relative efficiency when applied to different biological matrices. We critically discuss the current progress and the further perspectives of these technologies in the context of its advances and gaps.
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Affiliation(s)
- Katerina Danko
- Department of Biochemistry, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Elena Lukasheva
- Department of Biochemistry, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Vladimir A. Zhukov
- All-Russia Research Institute for Agricultural Microbiology, Podbelsky Chaussee 3, Pushkin, 196608 St. Petersburg, Russia
| | - Viktor Zgoda
- Institute of Biomedical Chemistry, 119121 Moscow, Russia
| | - Andrej Frolov
- K.A. Timiryazev Institute of Plant Physiology RAS, 127276 Moscow, Russia
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12
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Zhang C, Pei Y, Zhang Z, Xu L, Liu X, Jiang L, Pielak GJ, Zhou X, Liu M, Li C. C-terminal truncation modulates α-Synuclein's cytotoxicity and aggregation by promoting the interactions with membrane and chaperone. Commun Biol 2022; 5:798. [PMID: 35945337 PMCID: PMC9363494 DOI: 10.1038/s42003-022-03768-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 07/25/2022] [Indexed: 12/20/2022] Open
Abstract
α-Synuclein (α-syn) is the main protein component of Lewy bodies, the major pathological hallmarks of Parkinson's disease (PD). C-terminally truncated α-syn is found in the brain of PD patients, reduces cell viability and tends to form fibrils. Nevertheless, little is known about the mechanisms underlying the role of C-terminal truncation on the cytotoxicity and aggregation of α-syn. Here, we use nuclear magnetic resonance spectroscopy to show that the truncation alters α-syn conformation, resulting in an attractive interaction of the N-terminus with membranes and molecular chaperone, protein disulfide isomerase (PDI). The truncated protein is more toxic to mitochondria than full-length protein and diminishes the effect of PDI on α-syn fibrillation. Our findings reveal a modulatory role for the C-terminus in the cytotoxicity and aggregation of α-syn by interfering with the N-terminus binding to membranes and chaperone, and provide a molecular basis for the pathological role of C-terminal truncation in PD pathogenesis.
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Affiliation(s)
- Cai Zhang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071, Wuhan, China
- Graduate University of Chinese Academy of Science, 100049, Beijing, China
| | - Yunshan Pei
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071, Wuhan, China
- Graduate University of Chinese Academy of Science, 100049, Beijing, China
| | - Zeting Zhang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071, Wuhan, China.
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, 430071, Wuhan, China.
| | - Lingling Xu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071, Wuhan, China
| | - Xiaoli Liu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071, Wuhan, China
| | - Ling Jiang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071, Wuhan, China
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, 430071, Wuhan, China
| | - Gary J Pielak
- Department of Chemistry, Department of Biochemistry and Biophysics, Lineberger Comprehensive Cancer Center, Integrative Program for Biological and Genome Sciences, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Xin Zhou
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071, Wuhan, China
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, 430071, Wuhan, China
| | - Maili Liu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071, Wuhan, China
- Graduate University of Chinese Academy of Science, 100049, Beijing, China
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, 430071, Wuhan, China
| | - Conggang Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071, Wuhan, China.
- Graduate University of Chinese Academy of Science, 100049, Beijing, China.
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, 430071, Wuhan, China.
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13
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Dong C, Donnarumma F, Murray KK. Infrared Laser Ablation Microsampling for Small Volume Proteomics. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2022; 33:1003-1010. [PMID: 35536596 DOI: 10.1021/jasms.2c00063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Infrared (IR) laser ablation was used to remove localized tissue regions from which proteins were extracted and processed with a low volume sample preparation workflow for bottom-up proteomics by liquid chromatography tandem mass spectrometry (LC-MS/MS). A polytetrafluoroethylene (PTFE) coated glass slide with 2 mm diameter microwells was used to capture ablated rat brain tissue for in situ protein digestion with submicroliter solution volumes. The resulting peptides were analyzed with LC-MS/MS for protein identification and label-free quantification. The method was used to identify an average of 600, 1350, and 1900 proteins from ablation areas of 0.01, 0.04, and 0.1 mm2, respectively, from a 50 μm thick rat brain tissue section. Differential proteomics of 0.01 mm2 regions captured from cerebral cortex and corpus callosum was accomplished to demonstrate the capabilities of the approach.
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Affiliation(s)
- Chao Dong
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States
| | - Fabrizio Donnarumma
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States
| | - Kermit K Murray
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States
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14
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Lubeckyj RA, Sun L. Laser capture microdissection-capillary zone electrophoresis-tandem mass spectrometry (LCM-CZE-MS/MS) for spatially resolved top-down proteomics: a pilot study of zebrafish brain. Mol Omics 2022; 18:112-122. [PMID: 34935839 PMCID: PMC9066772 DOI: 10.1039/d1mo00335f] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Mass spectrometry (MS)-based spatially resolved top-down proteomics (TDP) of tissues is crucial for understanding the roles played by microenvironmental heterogeneity in the biological functions of organs and for discovering new proteoform biomarkers of diseases. There are few published spatially resolved TDP studies. One of the challenges relates to the limited performance of TDP for the analysis of spatially isolated samples using, for example, laser capture microdissection (LCM) because those samples are usually mass-limited. We present the first pilot study of LCM-capillary zone electrophoresis (CZE)-MS/MS for spatially resolved TDP and used zebrafish brain as the sample. The LCM-CZE-MS/MS platform employed a non-ionic detergent and a freeze-thaw method for efficient proteoform extraction from LCM isolated brain sections followed by CZE-MS/MS without any sample cleanup step, ensuring high sensitivity. Over 400 proteoforms were identified in a CZE-MS/MS analysis of one LCM brain section via consuming the protein content of roughly 250 cells. We observed drastic differences in proteoform profiles between two LCM brain sections isolated from the optic tectum (Teo) and telencephalon (Tel) regions. Proteoforms of three proteins (npy, penkb, and pyya) having neuropeptide hormone activity were exclusively identified in the isolated Tel section. Proteoforms of reticulon, myosin, and troponin were almost exclusively identified in the isolated Teo section, and those proteins play essential roles in visual and motor activities. The proteoform profiles accurately reflected the main biological functions of the Teo and Tel regions of the brain. Additionally, hundreds of post-translationally modified proteoforms were identified.
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Affiliation(s)
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Ln, East Lansing, MI 48824, USA.
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15
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Sisley EK, Hale OJ, Styles IB, Cooper HJ. Native Ambient Mass Spectrometry Imaging of Ligand-Bound and Metal-Bound Proteins in Rat Brain. J Am Chem Soc 2022; 144:2120-2128. [DOI: 10.1021/jacs.1c10032] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Emma K. Sisley
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, U.K
| | - Oliver J. Hale
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, U.K
| | - Iain B. Styles
- School of Computer Science, University of Birmingham, Birmingham, B15 2TT, U.K
- The Alan Turing Institute, London, NW1 2DB, U.K
- Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, B15 2TT, U.K
- University of Nottingham, Midlands, NG7 2RD, U.K
| | - Helen J. Cooper
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, U.K
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16
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Guo Y, Jia W, Yang J, Zhan X. Cancer glycomics offers potential biomarkers and therapeutic targets in the framework of 3P medicine. Front Endocrinol (Lausanne) 2022; 13:970489. [PMID: 36072925 PMCID: PMC9441633 DOI: 10.3389/fendo.2022.970489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/02/2022] [Indexed: 11/30/2022] Open
Abstract
Glycosylation is one of the most important post-translational modifications (PTMs) in a protein, and is the most abundant and diverse biopolymer in nature. Glycans are involved in multiple biological processes of cancer initiation and progression, including cell-cell interactions, cell-extracellular matrix interactions, tumor invasion and metastasis, tumor angiogenesis, and immune regulation. As an important biomarker, tumor-associated glycosylation changes have been extensively studied. This article reviews recent advances in glycosylation-based biomarker research, which is useful for cancer diagnosis and prognostic assessment. Truncated O-glycans, sialylation, fucosylation, and complex branched structures have been found to be the most common structural patterns in malignant tumors. In recent years, immunochemical methods, lectin recognition-based methods, mass spectrometry (MS)-related methods, and fluorescence imaging-based in situ methods have greatly promoted the discovery and application potentials of glycomic and glycoprotein biomarkers in various cancers. In particular, MS-based proteomics has significantly facilitated the comprehensive research of extracellular glycoproteins, increasing our understanding of their critical roles in regulating cellular activities. Predictive, preventive and personalized medicine (PPPM; 3P medicine) is an effective approach of early prediction, prevention and personalized treatment for different patients, and it is known as the new direction of medical development in the 21st century and represents the ultimate goal and highest stage of medical development. Glycosylation has been revealed to have new diagnostic, prognostic, and even therapeutic potentials. The purpose of glycosylation analysis and utilization of biology is to make a fundamental change in health care and medical practice, so as to lead medical research and practice into a new era of 3P medicine.
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Affiliation(s)
- Yuna Guo
- Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Jinan, China
- Medical Science and Technology Innovation Center, Shandong First Medical University, Jinan, China
| | - Wenshuang Jia
- Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Jinan, China
- Medical Science and Technology Innovation Center, Shandong First Medical University, Jinan, China
| | - Jingru Yang
- Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Jinan, China
- Medical Science and Technology Innovation Center, Shandong First Medical University, Jinan, China
| | - Xianquan Zhan
- Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Jinan, China
- Medical Science and Technology Innovation Center, Shandong First Medical University, Jinan, China
- *Correspondence: Xianquan Zhan,
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17
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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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18
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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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19
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Pino L, Schilling B. Proximity labeling and other novel mass spectrometric approaches for spatiotemporal protein dynamics. Expert Rev Proteomics 2021; 18:757-765. [PMID: 34496693 PMCID: PMC8650568 DOI: 10.1080/14789450.2021.1976149] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 08/31/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Proteins are highly dynamic and their biological function is controlled by not only temporal abundance changes but also via regulated protein-protein interaction networks, which respond to internal and external perturbations. A wealth of novel analytical reagents and workflows allow studying spatiotemporal protein environments with great granularity while maintaining high throughput and ease of analysis. AREAS COVERED We review technology advances for measuring protein-protein proximity interactions with an emphasis on proximity labeling, and briefly summarize other spatiotemporal approaches including protein localization, and their dynamic changes over time, specifically in human cells and mammalian tissues. We focus especially on novel technologies and workflows emerging within the past 5 years. This includes enrichment-based techniques (proximity labeling and crosslinking), separation-based techniques (organelle fractionation and size exclusion chromatography), and finally sorting-based techniques (laser capture microdissection and mass spectrometry imaging). EXPERT OPINION Spatiotemporal proteomics is a key step in assessing biological complexity, understanding refined regulatory mechanisms, and forming protein complexes and networks. Studying protein dynamics across space and time holds promise for gaining deep insights into how protein networks may be perturbed during disease and aging processes, and offer potential avenues for therapeutic interventions, drug discovery, and biomarker development.
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Affiliation(s)
- Lindsay Pino
- University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Birgit Schilling
- Buck Institute for Research on Aging, Novato, California, CA 94945, USA
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20
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Fulcher JM, Makaju A, Moore RJ, Zhou M, Bennett DA, De Jager PL, Qian WJ, Paša-Tolić L, Petyuk VA. Enhancing Top-Down Proteomics of Brain Tissue with FAIMS. J Proteome Res 2021; 20:2780-2795. [PMID: 33856812 PMCID: PMC8672206 DOI: 10.1021/acs.jproteome.1c00049] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Proteomic investigations of Alzheimer's and Parkinson's disease have provided valuable insights into neurodegenerative disorders. Thus far, these investigations have largely been restricted to bottom-up approaches, hindering the degree to which one can characterize a protein's "intact" state. Top-down proteomics (TDP) overcomes this limitation; however, it is typically limited to observing only the most abundant proteoforms and of a relatively small size. Therefore, fractionation techniques are commonly used to reduce sample complexity. Here, we investigate gas-phase fractionation through high-field asymmetric waveform ion mobility spectrometry (FAIMS) within TDP. Utilizing a high complexity sample derived from Alzheimer's disease (AD) brain tissue, we describe how the addition of FAIMS to TDP can robustly improve the depth of proteome coverage. For example, implementation of FAIMS with external compensation voltage (CV) stepping at -50, -40, and -30 CV could more than double the mean number of non-redundant proteoforms, genes, and proteome sequence coverage compared to without FAIMS. We also found that FAIMS can influence the transmission of proteoforms and their charge envelopes based on their size. Importantly, FAIMS enabled the identification of intact amyloid beta (Aβ) proteoforms, including the aggregation-prone Aβ1-42 variant which is strongly linked to AD. Raw data and associated files have been deposited to the ProteomeXchange Consortium via the MassIVE data repository with data set identifier PXD023607.
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Affiliation(s)
- James M Fulcher
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Aman Makaju
- Life Sciences Mass Spectrometry Unit, Thermo Fisher Scientific, San Jose, California 95134, United States
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Mowei Zhou
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, United States
| | - Philip L De Jager
- Department of Neurology, Center for Translational & Computational Neuroimmunology, Columbia University Medical Center, New York, New York 10032, United States
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Ljiljana Paša-Tolić
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
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21
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Alexovič M, Sabo J, Longuespée R. Microproteomic sample preparation. Proteomics 2021; 21:e2000318. [PMID: 33547857 DOI: 10.1002/pmic.202000318] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/23/2021] [Accepted: 01/27/2021] [Indexed: 12/11/2022]
Abstract
Multiple applications of proteomics in life and health science, pathology and pharmacology, require handling size-limited cell and tissue samples. During proteomic sample preparation, analyte loss in these samples arises when standard procedures are used. Thus, specific considerations have to be taken into account for processing, that are summarised under the term microproteomics (μPs). Microproteomic workflows include: sampling (e.g., flow cytometry, laser capture microdissection), sample preparation (possible disruption of cells or tissue pieces via lysis, protein extraction, digestion in bottom-up approaches, and sample clean-up) and analysis (chromatographic or electrophoretic separation, mass spectrometric measurements and statistical/bioinformatic evaluation). All these steps must be optimised to reach wide protein dynamic ranges and high numbers of identifications. Under optimal conditions, sampling is adapted to the studied sample types and nature, sample preparation isolates and enriches the whole protein content, clean-up removes salts and other interferences such as detergents or chaotropes, and analysis identifies as many analytes as the instrumental throughput and sensitivity allow. In the suggested review, we present and discuss the current state in μP applications for processing of small number of cells (cell μPs) and microscopic tissue regions (tissue μPs).
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Affiliation(s)
- Michal Alexovič
- Department of Medical and Clinical Biophysics, Faculty of Medicine, University of P.J. Šafárik in Košice, Košice, Slovakia
| | - Ján Sabo
- Department of Medical and Clinical Biophysics, Faculty of Medicine, University of P.J. Šafárik in Košice, Košice, Slovakia
| | - Rémi Longuespée
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
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22
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Cardon T, Fournier I, Salzet M. SARS-Cov-2 Interactome with Human Ghost Proteome: A Neglected World Encompassing a Wealth of Biological Data. Microorganisms 2020; 8:E2036. [PMID: 33352703 PMCID: PMC7766365 DOI: 10.3390/microorganisms8122036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 12/16/2020] [Accepted: 12/17/2020] [Indexed: 11/17/2022] Open
Abstract
Conventionally, eukaryotic mRNAs were thought to be monocistronic, leading to the translation of a single protein. However, large-scale proteomics have led to a massive identification of proteins translated from mRNAs of alternative ORF (AltORFs), in addition to the predicted proteins issued from the reference ORF or from ncRNAs. These alternative proteins (AltProts) 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 context. Based on our experience with AltProts, we were interested in finding out their interaction with the viral protein coming from the SARS-CoV-2 virus, responsible for the 2020 COVID-19 outbreak. Thus, we have scrutinized the recently published data by Krogan and coworkers (2020) on the SARS-CoV-2 interactome with host cells by affinity purification in co-immunoprecipitation (co-IP) in the perspective of drug repurposing. The initial work revealed the interaction between 332 human cellular reference proteins (RefProts) with the 27 viral proteins. Re-interrogation of this data using 23 viral targets and including AltProts, followed by enrichment of the interaction networks, leads to identify 218 RefProts (in common to initial study), plus 56 AltProts involved in 93 interactions. This demonstrates the necessity to take into account the ghost proteome for discovering new therapeutic targets, and establish new therapeutic strategies. Missing the ghost proteome in the drug metabolism and pharmacokinetic (DMPK) drug development pipeline will certainly be a major limitation to the establishment of efficient therapies.
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Affiliation(s)
- Tristan Cardon
- Inserm U1192, University Lille, CHU Lille, Laboratory Protéomique Réponse Inflammatoire Spectrométrie de Masse (PRISM), F-59000 Lille, France
| | - Isabelle Fournier
- Inserm U1192, University Lille, CHU Lille, Laboratory Protéomique Réponse Inflammatoire Spectrométrie de Masse (PRISM), F-59000 Lille, France
- Institut Universitaire de France, 75000 Paris, France
| | - Michel Salzet
- Inserm U1192, University Lille, CHU Lille, Laboratory Protéomique Réponse Inflammatoire Spectrométrie de Masse (PRISM), F-59000 Lille, France
- Institut Universitaire de France, 75000 Paris, France
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23
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Neumann EK, Djambazova KV, Caprioli RM, Spraggins JM. Multimodal Imaging Mass Spectrometry: Next Generation Molecular Mapping in Biology and Medicine. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:2401-2415. [PMID: 32886506 PMCID: PMC9278956 DOI: 10.1021/jasms.0c00232] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Imaging mass spectrometry has become a mature molecular mapping technology that is used for molecular discovery in many medical and biological systems. While powerful by itself, imaging mass spectrometry can be complemented by the addition of other orthogonal, chemically informative imaging technologies to maximize the information gained from a single experiment and enable deeper understanding of biological processes. Within this review, we describe MALDI, SIMS, and DESI imaging mass spectrometric technologies and how these have been integrated with other analytical modalities such as microscopy, transcriptomics, spectroscopy, and electrochemistry in a field termed multimodal imaging. We explore the future of this field and discuss forthcoming developments that will bring new insights to help unravel the molecular complexities of biological systems, from single cells to functional tissue structures and organs.
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Affiliation(s)
- Elizabeth K Neumann
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, Tennessee 37205, United States
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue S #9160, Nashville, Tennessee 37235, United States
| | - Katerina V Djambazova
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue S #9160, Nashville, Tennessee 37235, United States
- Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, Tennessee 37235, United States
| | - Richard M Caprioli
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, Tennessee 37205, United States
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue S #9160, Nashville, Tennessee 37235, United States
- Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, Tennessee 37235, United States
- Department of Pharmacology, Vanderbilt University, 2220 Pierce Avenue, Nashville, Tennessee 37232, United States
- Department of Medicine, Vanderbilt University, 465 21st Avenue S #9160, Nashville, Tennessee 37235, United States
| | - Jeffrey M Spraggins
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, Tennessee 37205, United States
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue S #9160, Nashville, Tennessee 37235, United States
- Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, Tennessee 37235, United States
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24
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Vergara D, Verri T, Damato M, Trerotola M, Simeone P, Franck J, Fournier I, Salzet M, Maffia M. A Hidden Human Proteome Signature Characterizes the Epithelial Mesenchymal Transition Program. Curr Pharm Des 2020; 26:372-375. [PMID: 31995001 DOI: 10.2174/1381612826666200129091610] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 01/27/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Molecular changes associated with the initiation of the epithelial to mesenchymal transition (EMT) program involve alterations of large proteome-based networks. The role of protein products mapping to non-coding genomic regions is still unexplored. OBJECTIVE The goal of this study was the identification of an alternative protein signature in breast cancer cellular models with a distinct expression of EMT markers. METHODS We profiled MCF-7 and MDA-MB-231 cells using liquid-chromatography mass/spectrometry (LCMS/ MS) and interrogated the OpenProt database to identify novel predicted isoforms and novel predicted proteins from alternative open reading frames (AltProts). RESULTS Our analysis revealed an AltProt and isoform protein signature capable of classifying the two breast cancer cell lines. Among the most highly expressed alternative proteins, we observed proteins potentially associated with inflammation, metabolism and EMT. CONCLUSION Here, we present an AltProts signature associated with EMT. Further studies will be needed to define their role in cancer progression.
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Affiliation(s)
- Daniele Vergara
- Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy
| | - Tiziano Verri
- Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy
| | - Marina Damato
- Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy
| | - Marco Trerotola
- Department of Medical, Oral and Biotechnological Sciences, "G.d'Annunzio" University of Chieti-Pescara, Italy
| | - Pasquale Simeone
- Department of Medicine and Aging Sciences, "G.d'Annunzio" University of Chieti-Pescara, Italy; Laboratory of Cytomorphology, Center for Advanced Studies and Technology (CAST), "G.d'Annunzio" University of Chieti-Pescara, Italy
| | - Julien Franck
- University of Lille, Inserm, U-1192, Laboratoire Proteomique, Reponse Inflammatoire et Spectrometrie de Masse-PRISM, F-59000, Lille, France
| | - Isabelle Fournier
- University of Lille, Inserm, U-1192, Laboratoire Proteomique, Reponse Inflammatoire et Spectrometrie de Masse-PRISM, F-59000, Lille, France
| | - Michel Salzet
- University of Lille, Inserm, U-1192, Laboratoire Proteomique, Reponse Inflammatoire et Spectrometrie de Masse-PRISM, F-59000, Lille, France
| | - Michele Maffia
- Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy
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25
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Cardon T, Franck J, Coyaud E, Laurent EMN, Damato M, Maffia M, Vergara D, Fournier I, Salzet M. Alternative proteins are functional regulators in cell reprogramming by PKA activation. Nucleic Acids Res 2020; 48:7864-7882. [PMID: 32324228 PMCID: PMC7641301 DOI: 10.1093/nar/gkaa277] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 04/06/2020] [Accepted: 04/21/2020] [Indexed: 12/28/2022] Open
Abstract
It has been recently shown that many proteins are lacking from reference databases used in mass spectrometry analysis, due to their translation templated on alternative open reading frames. This questions our current understanding of gene annotation and drastically expands the theoretical proteome complexity. The functions of these alternative proteins (AltProts) still remain largely unknown. We have developed a large-scale and unsupervised approach based on cross-linking mass spectrometry (XL-MS) followed by shotgun proteomics to gather information on the functional role of AltProts by mapping them back into known signalling pathways through the identification of their reference protein (RefProt) interactors. We have identified and profiled AltProts in a cancer cell reprogramming system: NCH82 human glioma cells after 0, 16, 24 and 48 h Forskolin stimulation. Forskolin is a protein kinase A activator inducing cell differentiation and epithelial–mesenchymal transition. Our data show that AltMAP2, AltTRNAU1AP and AltEPHA5 interactions with tropomyosin 4 are downregulated under Forskolin treatment. In a wider perspective, Gene Ontology and pathway enrichment analysis (STRING) revealed that RefProts associated with AltProts are enriched in cellular mobility and transfer RNA regulation. This study strongly suggests novel roles of AltProts in multiple essential cellular functions and supports the importance of considering them in future biological studies.
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Affiliation(s)
- Tristan Cardon
- Univ. Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse (PRISM), F-59000 Lille, France
| | - Julien Franck
- Univ. Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse (PRISM), F-59000 Lille, France
| | - Etienne Coyaud
- Univ. Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse (PRISM), F-59000 Lille, France
| | - Estelle M N Laurent
- Univ. Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse (PRISM), F-59000 Lille, France
| | - Marina Damato
- Univ. Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse (PRISM), F-59000 Lille, France.,Department of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy
| | - Michele Maffia
- Department of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy
| | - Daniele Vergara
- Department of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy
| | - Isabelle Fournier
- Univ. Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse (PRISM), F-59000 Lille, France.,Institut Universitaire de France (IUF),75005 Paris, France
| | - Michel Salzet
- Univ. Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse (PRISM), F-59000 Lille, France.,Institut Universitaire de France (IUF),75005 Paris, France
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26
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Zhou M, Uwugiaren N, Williams SM, Moore RJ, Zhao R, Goodlett D, Dapic I, Paša-Tolić L, Zhu Y. Sensitive Top-Down Proteomics Analysis of a Low Number of Mammalian Cells Using a Nanodroplet Sample Processing Platform. Anal Chem 2020; 92:7087-7095. [PMID: 32374172 DOI: 10.1021/acs.analchem.0c00467] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Top-down proteomics is a powerful tool for characterizing genetic variations and post-translational modifications at intact protein level. However, one significant technical gap of top-down proteomics is the inability to analyze a low amount of biological samples, which limits its access to isolated rare cells, fine needle aspiration biopsies, and tissue substructures. Herein, we developed an ultrasensitive top-down platform by incorporating a microfluidic sample preparation system, termed nanoPOTS (nanodroplet processing in one pot for trace samples), into a top-down proteomic workflow. A unique combination of a nonionic detergent dodecyl-β-d-maltopyranoside (DDM) with urea as protein extraction buffer significantly improved both protein extraction efficiency and sample recovery. We hypothesize that the DDM detergent improves protein recovery by efficiently reducing nonspecific adsorption of intact proteins on container surfaces, while urea serves as a strong denaturant to disrupt noncovalent complexes and release intact proteins for downstream analysis. The nanoPOTS-based top-down platform reproducibly and quantitatively identified ∼170 to ∼620 proteoforms from ∼70 to ∼770 HeLa cells containing ∼10 to ∼115 ng of total protein. A variety of post-translational modifications including acetylation, myristoylation, and iron binding were identified using only less than 800 cells. We anticipate the nanoPOTS top-down proteomics platform will be broadly applicable in biomedical research, particularly where clinical specimens are not available in amounts amenable to standard workflows.
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Affiliation(s)
- Mowei Zhou
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Naomi Uwugiaren
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
| | - Sarah M Williams
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Rui Zhao
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - David Goodlett
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland.,Department of Microbial Pathogenesis, School of Dentistry, University of Maryland, Baltimore, Maryland 21201, United States
| | - Irena Dapic
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
| | - Ljiljana Paša-Tolić
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Ying Zhu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
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27
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Pan CT, Chang WH, Kumar A, Singh SP, Kaushik AC, Sharma J, Long ZJ, Wen ZH, Mishra SK, Yen CK, Chaudhary RK, Shiue YL. Nanoparticles-mediated Brain Imaging and Disease Prognosis by Conventional as well as Modern Modal Imaging Techniques: a Comparison. Curr Pharm Des 2020; 25:2637-2649. [PMID: 31603057 DOI: 10.2174/1381612825666190709220139] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Accepted: 07/02/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Multimodal imaging plays an important role in the diagnosis of brain disorders. Neurological disorders need to be diagnosed at an early stage for their effective treatment as later, it is very difficult to treat them. If possible, diagnosing at an early stage can be much helpful in curing the disease with less harm to the body. There is a need for advanced and multimodal imaging techniques for the same. This paper provides an overview of conventional as well as modern imaging techniques for brain diseases, specifically for tumor imaging. In this paper, different imaging modalities are discussed for tumor detection in the brain along with their advantages and disadvantages. Conjugation of two and more than two modalities provides more accurate information rather than a single modality. They can monitor and differentiate the cellular processes of normal and diseased condition with more clarity. The advent of molecular imaging, including reporter gene imaging, has opened the door of more advanced noninvasive detection of brain tumors. Due to specific optical properties, semiconducting polymer-based nanoparticles also play a pivotal role in imaging tumors. OBJECTIVE The objective of this paper is to review nanoparticles-mediated brain imaging and disease prognosis by conventional as well as modern modal imaging techniques. CONCLUSION We reviewed in detail various medical imaging techniques. This paper covers recent developments in detail and elaborates a possible research aspect for the readers in the field.
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Affiliation(s)
- Cheng-Tang Pan
- Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-Sen University, Kaohsiung City 804, Taiwan.,Institute of Medical Science and Technology, National Sun Yat-Sen University, Kaohsiung City 804, Taiwan
| | - Wei-Hsi Chang
- Department of Emergency Medicine, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan
| | - Ajay Kumar
- Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-Sen University, Kaohsiung City 804, Taiwan.,Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung City 804, Taiwan
| | - Satya P Singh
- School of EEE, Nanyang Technological University, Nanyang Ave, Singapore
| | - Aman Chandra Kaushik
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, ShanghaiJia Tong University, Shanghai 200240, China
| | - Jyotsna Sharma
- Amity School of Applied Sciences, Amity University Haryana, Gurugram-122413, Manesai, Panchgaon, Haryana, India
| | - Zheng-Jing Long
- Department of Emergency Medicine, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan
| | - Zhi-Hong Wen
- Department of Marine Biotechnology and Resources, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Sunil Kumar Mishra
- Patronage Institute of Management Studies, Greater Noida, Uttar Pradesh, India
| | - Chung-Kun Yen
- Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-Sen University, Kaohsiung City 804, Taiwan
| | - Ravi Kumar Chaudhary
- School of Biotechnology, Gautam Buddha University, Greater Noida, Uttar Pardesh, India, India
| | - Yow-Ling Shiue
- Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung City 804, Taiwan
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28
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Pagliusi Jr. M, Brandão A, Zanetti G, Bonet I, Sartori C, Vieira A. Using the Parafilm-assisted Microdissection (PAM) Method to Sample Rodent Nucleus Accumbens. Bio Protoc 2020; 10:e3836. [DOI: 10.21769/bioprotoc.3836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 10/28/2020] [Accepted: 10/12/2020] [Indexed: 11/02/2022] Open
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29
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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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30
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Guo D, Bemis K, Rawlins C, Agar J, Vitek O. Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissues. Bioinformatics 2019; 35:i208-i217. [PMID: 31510675 PMCID: PMC6612871 DOI: 10.1093/bioinformatics/btz345] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
MOTIVATION Mass spectrometry imaging (MSI) characterizes the spatial distribution of ions in complex biological samples such as tissues. Since many tissues have complex morphology, treatments and conditions often affect the spatial distribution of the ions in morphology-specific ways. Evaluating the selectivity and the specificity of ion localization and regulation across morphology types is biologically important. However, MSI lacks algorithms for segmenting images at both single-ion and spatial resolution. RESULTS This article contributes spatial-Dirichlet Gaussian mixture model (DGMM), an algorithm and a workflow for the analyses of MSI experiments, that detects components of single-ion images with homogeneous spatial composition. The approach extends DGMMs to account for the spatial structure of MSI. Evaluations on simulated and experimental datasets with diverse MSI workflows demonstrated that spatial-DGMM accurately segments ion images, and can distinguish ions with homogeneous and heterogeneous spatial distribution. We also demonstrated that the extracted spatial information is useful for downstream analyses, such as detecting morphology-specific ions, finding groups of ions with similar spatial patterns, and detecting changes in chemical composition of tissues between conditions. AVAILABILITY AND IMPLEMENTATION The data and code are available at https://github.com/Vitek-Lab/IonSpattern. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Dan Guo
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | - Kylie Bemis
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | - Catherine Rawlins
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA
| | - Jeffrey Agar
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA
| | - Olga Vitek
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
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31
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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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32
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Petukhova VZ, Young AN, Wang J, Wang M, Ladanyi A, Kothari R, Burdette JE, Sanchez LM. Whole Cell MALDI Fingerprinting Is a Robust Tool for Differential Profiling of Two-Component Mammalian Cell Mixtures. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2019; 30:344-354. [PMID: 30353292 PMCID: PMC6347503 DOI: 10.1007/s13361-018-2088-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Revised: 10/08/2018] [Accepted: 10/10/2018] [Indexed: 05/09/2023]
Abstract
MALDI fingerprinting was first described two decades ago as a technique to identify microbial cell lines. Microbial fingerprinting has since evolved into an automated platform for microorganism identification and classification, which is now routinely used in clinical and environmental sectors. The extension of fingerprinting to mammalian cells has yet to progress partly due to compartmentalization of eukaryotic cells and overall higher cellular complexity. A number of publications on mammalian whole cell fingerprinting suggest that the method could be useful for classification of different cell types, cell states, and monitoring cell differentiation. We report the optimization of MALDI fingerprinting workflow parameters for mammalian cells and its application for differential profiling of mammalian cell lines and two-component cell line mixtures. Murine fallopian tube cells and high-grade ovarian carcinoma cell lines and their mixtures are used as model mammalian cell lines. Two-component cell mixtures serve to determine the method's feasibility for complex biological samples as the ability to detect cancer cells in a mixed cell population. The level of detection of cancer cells in the two-component mixture by principle component analysis (PCA) starts to deteriorate at 5% but with application of a different statistical approach, Wilcoxon rank sum test, the level of detection was determined to be 1%. The ability to differentiate heterogeneous cell mixtures will help further extend whole cell MALDI fingerprinting to complex biological systems. Graphical Abstract.
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Affiliation(s)
- Valentina Z Petukhova
- Department of Medicinal Chemistry and Pharmacognosy, University of Illinois at Chicago, 833 S Wood St., MC 781, Room 539, Chicago, IL, 60612, USA
| | - Alexandria N Young
- Department of Medicinal Chemistry and Pharmacognosy, University of Illinois at Chicago, 833 S Wood St., MC 781, Room 539, Chicago, IL, 60612, USA
| | - Jian Wang
- Ometa Labs, 3210 Merryfield Row, San Diego, CA, 92121, USA
| | - Mingxun Wang
- Ometa Labs, 3210 Merryfield Row, San Diego, CA, 92121, USA
| | - Andras Ladanyi
- Department of Obstetrics & Gynecology, Rush University Medical Center, 1653 W Congress Pkwy, Chicago, IL, 60612, USA
| | - Rajul Kothari
- Department of Obstetrics & Gynecology-Division of Gynecologic Oncology, University of Illinois at Chicago, 820 S Wood St., Chicago, IL, 60612, USA
| | - Joanna E Burdette
- Department of Medicinal Chemistry and Pharmacognosy, University of Illinois at Chicago, 833 S Wood St., MC 781, Room 539, Chicago, IL, 60612, USA
| | - Laura M Sanchez
- Department of Medicinal Chemistry and Pharmacognosy, University of Illinois at Chicago, 833 S Wood St., MC 781, Room 539, Chicago, IL, 60612, USA.
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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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