1
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Yu B, Zhan R, Hu Y, Lv Z. Mass Spectrometry Imaging: An Emerging Technology in Medical Parasitology. Anal Chem 2024; 96:8011-8020. [PMID: 38579105 DOI: 10.1021/acs.analchem.3c05341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2024]
Affiliation(s)
- Bingcheng Yu
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong 510080, China
- Provincial Engineering Technology Research Center for Biological Vector Control, Guangzhou, Guangdong 511493, China
| | - Rongjian Zhan
- Department of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China
| | - Yue Hu
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong 510080, China
- Provincial Engineering Technology Research Center for Biological Vector Control, Guangzhou, Guangdong 511493, China
| | - Zhiyue Lv
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong 510080, China
- Provincial Engineering Technology Research Center for Biological Vector Control, Guangzhou, Guangdong 511493, China
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University Haikou, Haikou, Hainan 571199, China
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2
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Abstract
Imaging mass spectrometry is a well-established technology that can easily and succinctly communicate the spatial localization of molecules within samples. This review communicates the recent advances in the field, with a specific focus on matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) applied on tissues. The general sample preparation strategies for different analyte classes are explored, including special considerations for sample types (fresh frozen or formalin-fixed,) strategies for various analytes (lipids, metabolites, proteins, peptides, and glycans) and how multimodal imaging strategies can leverage the strengths of each approach is mentioned. This work explores appropriate experimental design approaches and standardization of processes needed for successful studies, as well as the various data analysis platforms available to analyze data and their strengths. The review concludes with applications of imaging mass spectrometry in various fields, with a focus on medical research, and some examples from plant biology and microbe metabolism are mentioned, to illustrate the breadth and depth of MALDI IMS.
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Affiliation(s)
- Jessica L Moore
- Department of Proteomics, Discovery Life Sciences, Huntsville, Alabama 35806, United States
| | - Georgia Charkoftaki
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut 06520, United States
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3
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Phetsanthad A, Vu NQ, Yu Q, Buchberger AR, Chen Z, Keller C, Li L. Recent advances in mass spectrometry analysis of neuropeptides. MASS SPECTROMETRY REVIEWS 2023; 42:706-750. [PMID: 34558119 PMCID: PMC9067165 DOI: 10.1002/mas.21734] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 08/22/2021] [Accepted: 08/28/2021] [Indexed: 05/08/2023]
Abstract
Due to their involvement in numerous biochemical pathways, neuropeptides have been the focus of many recent research studies. Unfortunately, classic analytical methods, such as western blots and enzyme-linked immunosorbent assays, are extremely limited in terms of global investigations, leading researchers to search for more advanced techniques capable of probing the entire neuropeptidome of an organism. With recent technological advances, mass spectrometry (MS) has provided methodology to gain global knowledge of a neuropeptidome on a spatial, temporal, and quantitative level. This review will cover key considerations for the analysis of neuropeptides by MS, including sample preparation strategies, instrumental advances for identification, structural characterization, and imaging; insightful functional studies; and newly developed absolute and relative quantitation strategies. While many discoveries have been made with MS, the methodology is still in its infancy. Many of the current challenges and areas that need development will also be highlighted in this review.
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Affiliation(s)
- Ashley Phetsanthad
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Nhu Q. Vu
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Qing Yu
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
| | - Amanda R. Buchberger
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Zhengwei Chen
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Caitlin Keller
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
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4
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Verheggen K, Bhattacharya N, Verhaert M, Goossens B, Sciot R, Verhaert P. HistoSnap: A Novel Software Tool to Extract m/z-Specific Images from Large MSHC Datasets. Methods Mol Biol 2023; 2688:15-26. [PMID: 37410280 DOI: 10.1007/978-1-0716-3319-9_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
We describe an informatics tool for comfortable browsing through highly complex, multi-gigabyte mass spectrometry histochemistry (MSHC) datasets, via clever ion-specific image extraction.The package is developed particularly for the untargeted localization/discovery of biomolecules such as endogenous (neuro)secretory peptides on histological sections of biobanked formaldehyde-fixed paraffin-embedded (FFPE) samples straight from tissue banks.Atmospheric pressure-MALDI-Orbitrap MSHC data of sections through human pituitary adenomas in which two well-known human neuropeptides are detected are used as an example to demonstrate the key features of the novel software, named HistoSnap.
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Affiliation(s)
| | | | - Marthe Verhaert
- ProteoFormiX, Beerse, Belgium
- Department of Medical Oncology at Institute Jules Bordet, Brussels, Belgium
| | | | - Raf Sciot
- ProteoFormiX, Beerse, Belgium
- Translational Tissue and Cell Research Unit, Department of Imaging and Pathology, University Hospital, Leuven, Belgium
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5
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Bhattacharya N, Nagornov K, Verheggen K, Verhaert M, Sciot R, Verhaert P. MS1-Based Data Analysis Approaches for FFPE Tissue Imaging of Endogenous Peptide Ions by Mass Spectrometry Histochemistry (MSHC). Methods Mol Biol 2023; 2688:187-202. [PMID: 37410294 DOI: 10.1007/978-1-0716-3319-9_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
Ambiguous reports in the literature exist regarding the use and usefulness of formalin-fixed paraffin-embedded (FFPE) tissues in mass spectrometry imaging (MSI). Especially for the study of endogenous (non-tryptic) peptides, several studies have concluded that MSI on archived FFPE tissue bank samples is virtually impossible. We here illustrate that by employing a variant of MSI, called mass spectrometry histochemistry (MSHC), biomolecular tissue localization data are obtained that unequivocally comprise endogenous peptides. We here discuss different informatics steps in a data analysis workflow to help filter peptide-related features out of large and complex datasets generated by atmospheric pressure matrix-assisted laser desorption/ionization high-resolution (Orbitrap mass analyzer) MSHC. These include, in addition to accurate mass measurements, Kendrick mass defect filtering and isotopic distribution scrutiny.
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Affiliation(s)
| | | | | | - Marthe Verhaert
- ProteoFormiX, Beerse, Belgium
- Department of Medical Oncology at Institute Jules Bordet, Brussels, Belgium
| | - Raf Sciot
- Department of Pathology, University Hospital Leuven, Leuven, Belgium
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6
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Qi H, Wang P, Sun H, Li X, Hao X, Tian W, Yu L, Tang J, Dong J, Wang H. ADAMDEC1 accelerates GBM progression via activation of the MMP2-related pathway. Front Oncol 2022; 12:945025. [PMID: 36172139 PMCID: PMC9511150 DOI: 10.3389/fonc.2022.945025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/17/2022] [Indexed: 11/13/2022] Open
Abstract
The ADAM (a disintegrin and metalloprotease) gene-related family including ADAM, ADAMTS, and ADAM-like decysin-1 has been reported to play an important role in the pathogenesis of multiple diseases, including cancers (lung cancer, gliomas, colorectal cancer, and gastrointestinal cancer). However, its biological role in gliomas remains largely unknown. Here, we aimed to investigate the biological functions and potential mechanism of ADAMDEC1 in gliomas. The mRNA and protein expression levels of ADAMDEC1 were upregulated in glioma tissues and cell lines. ADAMDEC1 showed a phenomenon of “abundance and disappear” expression in gliomas and normal tissues in that the higher the expression of ADAMDEC1 presented, the higher the malignancy of gliomas and the worse the prognosis. High expression of ADAMDEC1 was associated with immune response. Knockdown of ADAMDEC1 could decrease the proliferation and colony-forming ability of LN229 cells, whereas ADAMDEC1 overexpression has opposite effects in LN229 cells in vitro. Furthermore, we identified that ADAMDEC1 accelerates GBM progression via the activation of the MMP2 pathway. In the present study, we found that the expression levels of ADAMDEC1 were significantly elevated compared with other ADAMs by analyzing the expression levels of ADAM family proteins in gliomas. This suggests that ADAMDEC1 has potential as a glioma clinical marker and immunotherapy target.
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Affiliation(s)
- Huimin Qi
- School of Basic Medicine, Weifang Medical University, Weifang, China
| | - Ping Wang
- School of Basic Medicine, Weifang Medical University, Weifang, China
| | - Hongliang Sun
- School of Basic Medicine, Weifang Medical University, Weifang, China
| | - Xiaohan Li
- School of Basic Medicine, Weifang Medical University, Weifang, China
| | - Xinwei Hao
- School of Basic Medicine, Weifang Medical University, Weifang, China
| | - Wenxiu Tian
- School of Basic Medicine, Weifang Medical University, Weifang, China
- Center of Translational Medicine, Zibo Central Hospital, Zibo, China
| | - Liting Yu
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Jiajian Tang
- School of Medicine, Southeast University, Nanjing, China
| | - Junhong Dong
- School of Basic Medicine, Weifang Medical University, Weifang, China
- *Correspondence: Junhong Dong, ; Hongmei Wang,
| | - Hongmei Wang
- School of Pharmacy, Binzhou Medical University, Yantai, China
- School of Medicine, Southeast University, Nanjing, China
- *Correspondence: Junhong Dong, ; Hongmei Wang,
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7
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Steven RT, Niehaus M, Taylor AJ, Nasif A, Elia E, Goodwin RJA, Takats Z, Bunch J. Atmospheric-Pressure Infrared Laser-Ablation Plasma-Postionization Mass Spectrometry Imaging of Formalin-Fixed Paraffin-Embedded (FFPE) and Fresh-Frozen Tissue Sections with No Sample Preparation. Anal Chem 2022; 94:9970-9974. [PMID: 35798333 PMCID: PMC9310026 DOI: 10.1021/acs.analchem.2c00690] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
Mass spectrometry
imaging (MSI) encompasses a powerful suit of
techniques which provide spatially resolved atomic and molecular information
from almost any sample type. MSI is now widely used in preclinical
research to provide insight into metabolic phenotypes of disease.
Typically, fresh-frozen tissue preparations are considered optimal
for biological MSI and other traditional preservation methods such
as formalin fixation, alone or with paraffin embedding (FFPE), are
considered less optimal or even incompatible. Due to the prevalence
of FFPE tissue storage, particularly for rare and therefore high-value
tissue samples, there is substantial motivation for optimizing MSI
methods for analysis of FFPE tissue. Here, we present a novel modality,
atmospheric-pressure infrared laser-ablation plasma postionization
(AP-IR-LA-PPI), with the first proof-of-concept examples of MSI for
FFPE and fresh-frozen tissues, with no post-sectioning sample preparation.
We present ion images from FFPE and fresh tissues in positive and
negative ion modes. Molecular annotations (via the Metaspace annotation
engine) and on-tissue MS/MS provide additional confidence that the
detected ions arise from a broad range of metabolite and lipid classes
from both FFPE and fresh-frozen tissues.
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Affiliation(s)
- Rory T Steven
- National Centre of Excellence in Mass Spectrometry Imaging, National Physical Laboratory, Teddington TW12 0WL, United Kingdom
| | - Marcel Niehaus
- National Centre of Excellence in Mass Spectrometry Imaging, National Physical Laboratory, Teddington TW12 0WL, United Kingdom
| | - Adam J Taylor
- National Centre of Excellence in Mass Spectrometry Imaging, National Physical Laboratory, Teddington TW12 0WL, United Kingdom
| | - Ammar Nasif
- National Centre of Excellence in Mass Spectrometry Imaging, National Physical Laboratory, Teddington TW12 0WL, United Kingdom
| | - Efstathios Elia
- National Centre of Excellence in Mass Spectrometry Imaging, National Physical Laboratory, Teddington TW12 0WL, United Kingdom
| | - Richard J A Goodwin
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge CB2 0WG, United Kingdom.,Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8TA, United Kingdom
| | - Zoltan Takats
- Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.,Biological Mass Spectrometry, Rosalind Franklin Institute, Harwell Campus, Didcot OX11 0QS, United Kingdom
| | - Josephine Bunch
- National Centre of Excellence in Mass Spectrometry Imaging, National Physical Laboratory, Teddington TW12 0WL, United Kingdom.,Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.,Biological Mass Spectrometry, Rosalind Franklin Institute, Harwell Campus, Didcot OX11 0QS, United Kingdom
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8
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Merchant SA, Shaikh MJS, Nadkarni P. Tuberculosis conundrum - current and future scenarios: A proposed comprehensive approach combining laboratory, imaging, and computing advances. World J Radiol 2022; 14:114-136. [PMID: 35978978 PMCID: PMC9258306 DOI: 10.4329/wjr.v14.i6.114] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 04/17/2022] [Accepted: 05/28/2022] [Indexed: 02/06/2023] Open
Abstract
Tuberculosis (TB) remains a global threat, with the rise of multiple and extensively drug resistant TB posing additional challenges. The International health community has set various 5-yearly targets for TB elimination: mathematical modelling suggests that a 2050 target is feasible with a strategy combining better diagnostics, drugs, and vaccines to detect and treat both latent and active infection. The availability of rapid and highly sensitive diagnostic tools (Gene-Xpert, TB-Quick) will vastly facilitate population-level identification of TB (including rifampicin resistance and through it, multi-drug-resistant TB). Basic-research advances have illuminated molecular mechanisms in TB, including the protective role of Vitamin D. Also, Mycobacterium tuberculosis impairs the host immune response through epigenetic mechanisms (histone-binding modulation). Imaging will continue to be key, both for initial diagnosis and follow-up. We discuss advances in multiple imaging modalities to evaluate TB tissue changes, such as molecular imaging techniques (including pathogen-specific positron emission tomography imaging agents), non-invasive temporal monitoring, and computing enhancements to improve data acquisition and reduce scan times. Big data analysis and Artificial Intelligence (AI) algorithms, notably in the AI sub-field called “Deep Learning”, can potentially increase the speed and accuracy of diagnosis. Additionally, Federated learning makes multi-institutional/multi-city AI-based collaborations possible without sharing identifiable patient data. More powerful hardware designs - e.g., Edge and Quantum Computing- will facilitate the role of computing applications in TB. However, “Artificial Intelligence needs real Intelligence to guide it!” To have maximal impact, AI must use a holistic approach that incorporates time tested human wisdom gained over decades from the full gamut of TB, i.e., key imaging and clinical parameters, including prognostic indicators, plus bacterial and epidemiologic data. We propose a similar holistic approach at the level of national/international policy formulation and implementation, to enable effective culmination of TB’s endgame, summarizing it with the acronym “TB - REVISITED”.
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Affiliation(s)
- Suleman Adam Merchant
- Lokmanya Tilak Municipal Medical College and General Hospital, Mumbai 400022, Maharashtra, India
| | - Mohd Javed Saifullah Shaikh
- Department of Radiology, North Bengal Neuro Centre, Jupiter magnetic resonance imaging, Diagnostic Centre, Siliguri 734003, West Bengal, India
| | - Prakash Nadkarni
- College of Nursing, University of Iowa, Iowa 52242, IA, United States
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9
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De La Toba EA, Bell SE, Romanova EV, Sweedler JV. Mass Spectrometry Measurements of Neuropeptides: From Identification to Quantitation. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2022; 15:83-106. [PMID: 35324254 DOI: 10.1146/annurev-anchem-061020-022048] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Neuropeptides (NPs), a unique class of neuronal signaling molecules, participate in a variety of physiological processes and diseases. Quantitative measurements of NPs provide valuable information regarding how these molecules are differentially regulated in a multitude of neurological, metabolic, and mental disorders. Mass spectrometry (MS) has evolved to become a powerful technique for measuring trace levels of NPs in complex biological tissues and individual cells using both targeted and exploratory approaches. There are inherent challenges to measuring NPs, including their wide endogenous concentration range, transport and postmortem degradation, complex sample matrices, and statistical processing of MS data required for accurate NP quantitation. This review highlights techniques developed to address these challenges and presents an overview of quantitative MS-based measurement approaches for NPs, including the incorporation of separation methods for high-throughput analysis, MS imaging for spatial measurements, and methods for NP quantitation in single neurons.
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Affiliation(s)
- Eduardo A De La Toba
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
| | - Sara E Bell
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
| | - Elena V Romanova
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
| | - Jonathan V Sweedler
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
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10
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Cintron-Diaz YL, Gomez-Hernandez ME, Verhaert MMHA, Verhaert PDEM, Fernandez-Lima F. Spatially Resolved Neuropeptide Characterization from Neuropathological Formalin-Fixed, Paraffin-Embedded Tissue Sections by a Combination of Imaging MALDI FT-ICR Mass Spectrometry Histochemistry and Liquid Extraction Surface Analysis-Trapped Ion Mobility Spectrometry-Tandem Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2022; 33:681-687. [PMID: 35258288 PMCID: PMC9390806 DOI: 10.1021/jasms.1c00376] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
To make the vast collections of well-documented human clinical samples archived in biobanks accessible for mass spectrometry imaging (MSI), recent developments have focused on the label-free top-down MS analysis of neuropeptides in sections of formalin-fixed, paraffin-embedded (FFPE) tissues. In analogy to immunohistochemistry (IHC), this variant of MSI has been designated MSHC (mass spectrometry histochemistry). Besides the detection and localization of neuropeptide and other biomolecular MS signals in these FFPE samples, there is great interest in their molecular identification and full characterization. We here used matrix assisted laser desorption ionization (MALDI) MSI employing ultrahigh-resolution FT-ICR MS on 2,5-dihydroxybenzoic acid (DHB) coated five-micron sections of human FFPE pituitary to demonstrate clear isotope patterns and elemental composition assignment of neuropeptides (with ∼1 ppm mass accuracy). Besides tandem MS fragmentation pattern analysis to deduce or confirm amino acid sequence information (Arg-vasopressin for the case presented here), there is a need for orthogonal primary structure characterization of the peptide-like MS signals of biomolecules desorbed directly off FFPE tissue sections. In the present work, we performed liquid extraction surface analysis (LESA) extractions on consecutive (uncoated) tissue slices. This enables the successful characterization by ion mobility MS of vasopressin present in FFPE material. Differences in sequence coverage are discussed on the basis of the mobility selected collision induced dissociation (CID), electron capture dissociation (ECD), and UV photodissociation (UVPD) MS/MS. Using Arg-vasopressin as model case (a peptide with a disulfide bridged ring structure), we illustrate the use of LESA in combination with a reduction agent for effective sequencing using mobility selected CID, ECD, and UVPD MS/MS.
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Affiliation(s)
- Yarixa L Cintron-Diaz
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th Street, AHC4-233, Miami, Florida 33199, United States
| | - Mario E Gomez-Hernandez
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th Street, AHC4-233, Miami, Florida 33199, United States
| | - Marthe M H A Verhaert
- ProteoFormiX, JLABS@BE, Janssen Pharmaceutica Campus, Turnhoutseweg 30, B-2340 Beerse, Belgium
| | - Peter D E M Verhaert
- ProteoFormiX, JLABS@BE, Janssen Pharmaceutica Campus, Turnhoutseweg 30, B-2340 Beerse, Belgium
| | - Francisco Fernandez-Lima
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th Street, AHC4-233, Miami, Florida 33199, United States
- Biomolecular Science Institute, Florida International University, 11200 SW 8th Street, AHC4-233, Miami, Florida 33199, United States
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11
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DeLaney K, Phetsanthad A, Li L. ADVANCES IN HIGH-RESOLUTION MALDI MASS SPECTROMETRY FOR NEUROBIOLOGY. MASS SPECTROMETRY REVIEWS 2022; 41:194-214. [PMID: 33165982 PMCID: PMC8106695 DOI: 10.1002/mas.21661] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 09/13/2020] [Indexed: 05/08/2023]
Abstract
Research in the field of neurobiology and neurochemistry has seen a rapid expansion in the last several years due to advances in technologies and instrumentation, facilitating the detection of biomolecules critical to the complex signaling of neurons. Part of this growth has been due to the development and implementation of high-resolution Fourier transform (FT) mass spectrometry (MS), as is offered by FT ion cyclotron resonance (FTICR) and Orbitrap mass analyzers, which improves the accuracy of measurements and helps resolve the complex biological mixtures often analyzed in the nervous system. The coupling of matrix-assisted laser desorption/ionization (MALDI) with high-resolution MS has drastically expanded the information that can be obtained with these complex samples. This review discusses notable technical developments in MALDI-FTICR and MALDI-Orbitrap platforms and their applications toward molecules in the nervous system, including sequence elucidation and profiling with de novo sequencing, analysis of post-translational modifications, in situ analysis, key advances in sample preparation and handling, quantitation, and imaging. Notable novel applications are also discussed to highlight key developments critical to advancing our understanding of neurobiology and providing insight into the exciting future of this field. © 2020 John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- Kellen DeLaney
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Ashley Phetsanthad
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
- To whom correspondence should be addressed. , Phone: (608) 265-8491, Fax: (608) 262-5345., Mailing Address: 5125 Rennebohm Hall, 777 Highland Avenue, Madison, WI 53706
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12
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Hippocampal neuropathology in suicide: Gaps in our knowledge and opportunities for a breakthrough. Neurosci Biobehav Rev 2021; 132:542-552. [PMID: 34906612 DOI: 10.1016/j.neubiorev.2021.12.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 12/03/2021] [Accepted: 12/10/2021] [Indexed: 01/27/2023]
Abstract
Suicide is a major global hazard. There is a need for increasing suicide awareness and effective and evidence-based interventions, targeting both suicidal ideation and conduct. However, anti-suicide pharmacological effects are unsatisfactory. The human hippocampus is vulnerable to neuropsychiatric damages and subsequently releases psychobiological signals. Human hippocampal studies of suicide completers have shown mechanistic changes in neurobiology, which, however, could not reflect the neuropathological 'fingerprints' of fatal suicide ideations and suicide attempts. In this review, we provide several leading theories of suicide, including the serotoninergic system, Wnt pathway and brain-derived neurotrophic factor/tropomyosin receptor kinase B signalling, and discuss the evidence for their roles in suicide and treatment. Moreover, the cognitive dysfunctions associated with suicide risk are discussed, as well as the novel evidence on cognitive therapies that decrease suicidal ideation. We highlight the need to apply multi-omics techniques (including single-nucleus RNA sequencing and mass spectrometry histochemistry) on hippocampal samples from donors who died by suicide or legal euthanasia, to clarify the aetiology of suicide and propose novel therapeutic strategies.
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13
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Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging. Int J Mol Sci 2021; 22:ijms222212393. [PMID: 34830273 PMCID: PMC8623934 DOI: 10.3390/ijms222212393] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/07/2021] [Accepted: 11/14/2021] [Indexed: 11/30/2022] Open
Abstract
Classic metabolomic methods have proven to be very useful to study functional biology and variation in the chemical composition of different tissues. However, they do not provide any information in terms of spatial localization within fine structures. Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI MSI) does and reaches at best a spatial resolution of 0.25 μm depending on the laser setup, making it a very powerful tool to analyze the local complexity of biological samples at the cellular level. Here, we intend to give an overview of the diversity of the molecules and localizations analyzed using this method as well as to update on the latest adaptations made to circumvent the complexity of samples. MALDI MSI has been widely used in medical sciences and is now developing in research areas as diverse as entomology, microbiology, plant biology, and plant–microbe interactions, the rhizobia symbiosis being the most exhaustively described so far. Those are the fields of interest on which we will focus to demonstrate MALDI MSI strengths in characterizing the spatial distributions of metabolites, lipids, and peptides in relation to biological questions.
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14
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Lee PY, Yeoh Y, Omar N, Pung YF, Lim LC, Low TY. Molecular tissue profiling by MALDI imaging: recent progress and applications in cancer research. Crit Rev Clin Lab Sci 2021; 58:513-529. [PMID: 34615421 DOI: 10.1080/10408363.2021.1942781] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) imaging is an emergent technology that has been increasingly adopted in cancer research. MALDI imaging is capable of providing global molecular mapping of the abundance and spatial information of biomolecules directly in the tissues without labeling. It enables the characterization of a wide spectrum of analytes, including proteins, peptides, glycans, lipids, drugs, and metabolites and is well suited for both discovery and targeted analysis. An advantage of MALDI imaging is that it maintains tissue integrity, which allows correlation with histological features. It has proven to be a valuable tool for probing tumor heterogeneity and has been increasingly applied to interrogate molecular events associated with cancer. It provides unique insights into both the molecular content and spatial details that are not accessible by other techniques, and it has allowed considerable progress in the field of cancer research. In this review, we first provide an overview of the MALDI imaging workflow and approach. We then highlight some useful applications in various niches of cancer research, followed by a discussion of the challenges, recent developments and future prospect of this technique in the field.
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Affiliation(s)
- Pey Yee Lee
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Yeelon Yeoh
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nursyazwani Omar
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Yuh-Fen Pung
- Division of Biomedical Science, University of Nottingham Malaysia, Selangor, Malaysia
| | - Lay Cheng Lim
- Department of Life Sciences, School of Pharmacy, International Medical University (IMU), Kuala Lumpur, Malaysia
| | - Teck Yew Low
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
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15
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[Mass spectrometry imaging technology and its application in breast cancer research]. Se Pu 2021; 39:578-587. [PMID: 34227318 PMCID: PMC9404019 DOI: 10.3724/sp.j.1123.2020.10005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
乳腺癌是女性最常见的恶性肿瘤,其发病率在世界范围内呈现上升趋势,是威胁女性健康的重要疾病之一。随着现代医学技术的快速发展,早期有效的诊断和筛查方法能够改善乳腺癌患者生存率和提高其生活质量。由于乳腺癌肿瘤具有非常显著的异质性,这对于诊断和筛查带来了较大困难,亟须在肿瘤演进时间信息中,继续引入生物分子的空间信息,从而对其异质性、肿瘤微环境等进行准确的追踪。质谱成像技术,可在免标记的前提下利用离子质荷比的特性发现生物组织中的各种分子,并研究这些分子的时间和空间信息,对其进行准确的定性、定量和空间定位。目前,通过质谱成像技术可直接获取药物及其代谢物、内源性代谢物、脂质、多肽和蛋白质等在组织中的空间分布信息,为肿瘤分子分型诊断和确认以及相关抗肿瘤药物的筛选提供了新的思路和研究方向。该综述以乳腺癌相关的生物样品制备和研究进展为主要内容,从小分子样本、大分子样本、石蜡包埋样本、基质喷涂方式、常用离子源等方面阐述质谱成像中样本制备的重要性以及样品制备过程中存在的难点问题。同时,以细胞模型、动物模型和临床肿瘤标本为研究对象,汇总了质谱成像技术在乳腺癌方面的应用进展,并进行了展望,为开展癌症精准分型研究和药物药效的快速筛查提供了重要依据。
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16
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Rossouw SC, Bendou H, Blignaut RJ, Bell L, Rigby J, Christoffels A. Evaluation of Protein Purification Techniques and Effects of Storage Duration on LC-MS/MS Analysis of Archived FFPE Human CRC Tissues. Pathol Oncol Res 2021; 27:622855. [PMID: 34257588 PMCID: PMC8262168 DOI: 10.3389/pore.2021.622855] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 03/01/2021] [Indexed: 12/17/2022]
Abstract
To elucidate cancer pathogenesis and its mechanisms at the molecular level, the collecting and characterization of large individual patient tissue cohorts are required. Since most pathology institutes routinely preserve biopsy tissues by standardized methods of formalin fixation and paraffin embedment, these archived FFPE tissues are important collections of pathology material that include patient metadata, such as medical history and treatments. FFPE blocks can be stored under ambient conditions for decades, while retaining cellular morphology, due to modifications induced by formalin. However, the effect of long-term storage, at resource-limited institutions in developing countries, on extractable protein quantity/quality has not yet been investigated. In addition, the optimal sample preparation techniques required for accurate and reproducible results from label-free LC-MS/MS analysis across block ages remains unclear. This study investigated protein extraction efficiency of 1, 5, and 10-year old human colorectal carcinoma resection tissue and assessed three different gel-free protein purification methods for label-free LC-MS/MS analysis. A sample size of n = 17 patients per experimental group (with experiment power = 0.7 and α = 0.05, resulting in 70% confidence level) was selected. Data were evaluated in terms of protein concentration extracted, peptide/protein identifications, method reproducibility and efficiency, sample proteome integrity (due to storage time), as well as protein/peptide distribution according to biological processes, cellular components, and physicochemical properties. Data are available via ProteomeXchange with identifier PXD017198. The results indicate that the amount of protein extracted is significantly dependent on block age (p < 0.0001), with older blocks yielding less protein than newer blocks. Detergent removal plates were the most efficient and overall reproducible protein purification method with regard to number of peptide and protein identifications, followed by the MagReSyn® SP3/HILIC method (with on-bead enzymatic digestion), and lastly the acetone precipitation and formic acid resolubilization method. Overall, the results indicate that long-term storage of FFPE tissues (as measured by methionine oxidation) does not considerably interfere with retrospective proteomic analysis (p > 0.1). Block age mainly affects initial protein extraction yields and does not extensively impact on subsequent label-free LC-MS/MS analysis results.
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Affiliation(s)
- Sophia C. Rossouw
- South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa
| | - Hocine Bendou
- South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa
| | - Renette J. Blignaut
- Department of Statistics and Population Studies, University of the Western Cape, Bellville, South Africa
| | - Liam Bell
- Centre for Proteomic and Genomic Research, Observatory, Cape Town, South Africa
| | - Jonathan Rigby
- Division of Anatomical Pathology, Department of Pathology, Faculty of Health Sciences, University of Stellenbosch, National Health Laboratory Service, Tygerberg Hospital, Cape Town, South Africa
| | - Alan Christoffels
- South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa
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17
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Ordonez AA, Tucker EW, Anderson CJ, Carter CL, Ganatra S, Kaushal D, Kramnik I, Lin PL, Madigan CA, Mendez S, Rao J, Savic RM, Tobin DM, Walzl G, Wilkinson RJ, Lacourciere KA, Via LE, Jain SK. Visualizing the dynamics of tuberculosis pathology using molecular imaging. J Clin Invest 2021; 131:145107. [PMID: 33645551 PMCID: PMC7919721 DOI: 10.1172/jci145107] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Nearly 140 years after Robert Koch discovered Mycobacterium tuberculosis, tuberculosis (TB) remains a global threat and a deadly human pathogen. M. tuberculosis is notable for complex host-pathogen interactions that lead to poorly understood disease states ranging from latent infection to active disease. Additionally, multiple pathologies with a distinct local milieu (bacterial burden, antibiotic exposure, and host response) can coexist simultaneously within the same subject and change independently over time. Current tools cannot optimally measure these distinct pathologies or the spatiotemporal changes. Next-generation molecular imaging affords unparalleled opportunities to visualize infection by providing holistic, 3D spatial characterization and noninvasive, temporal monitoring within the same subject. This rapidly evolving technology could powerfully augment TB research by advancing fundamental knowledge and accelerating the development of novel diagnostics, biomarkers, and therapeutics.
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Affiliation(s)
- Alvaro A. Ordonez
- Center for Infection and Inflammation Imaging Research
- Center for Tuberculosis Research
- Department of Pediatrics, and
| | - Elizabeth W. Tucker
- Center for Infection and Inflammation Imaging Research
- Center for Tuberculosis Research
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Claire L. Carter
- Hackensack Meridian Health Center for Discovery and Innovation, Nutley, New Jersey, USA
| | - Shashank Ganatra
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Deepak Kaushal
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Igor Kramnik
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, Massachusets, USA
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts, USA
| | - Philana L. Lin
- Children’s Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Cressida A. Madigan
- Department of Biological Sciences, UCSD, San Diego, La Jolla, California, USA
| | - Susana Mendez
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Rockville, Maryland, USA
| | - Jianghong Rao
- Molecular Imaging Program at Stanford, Department of Radiology and Chemistry, Stanford University, Stanford, California, USA
| | - Rada M. Savic
- Department of Bioengineering and Therapeutic Sciences, School of Pharmacy and Medicine, UCSF, San Francisco, California, USA
| | - David M. Tobin
- Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, USA
| | - Gerhard Walzl
- SAMRC Centre for Tuberculosis Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa
| | - Robert J. Wilkinson
- Department of Infectious Diseases, Imperial College London, London, United Kingdom
- Wellcome Centre for Infectious Diseases Research in Africa and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- The Francis Crick Institute, London, United Kingdom
| | - Karen A. Lacourciere
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Rockville, Maryland, USA
| | - Laura E. Via
- Tuberculosis Research Section, Laboratory of Clinical Immunology and Microbiology, and Tuberculosis Imaging Program, Division of Intramural Research, NIAID, NIH, Bethesda, Maryland, USA
| | - Sanjay K. Jain
- Center for Infection and Inflammation Imaging Research
- Center for Tuberculosis Research
- Department of Pediatrics, and
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18
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Li HW, Hu Z, Chen X, Ren J, Cui H, Zhang M, Chen L, Hua X, Song J, Long YT. Investigation of Lipid Metabolism in Dynamic Progression of Coronary Artery Atherosclerosis of Humans by Time-of-Flight Secondary Ion Mass Spectrometry. Anal Chem 2021; 93:3839-3847. [PMID: 33587603 DOI: 10.1021/acs.analchem.0c04367] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Alterations in lipid metabolites in coronary artery tissues are phenotypic changes in the progression of atherosclerosis (AS). A full picture of the spatiotemporal distribution of lipid metabolites in coronary AS is needed for a deeper understanding of its pathology and the identification of potential biomarkers of disease progression. In this work, the changes in species, quantity, and distribution of lipid metabolites at different stages of AS, which were standardized by the disease areas, were analyzed through the high spatial resolution- and high sensitivity-time-of-flight secondary ion mass spectrometry (ToF-SIMS) under delayed extraction mode. Based on high lateral resolution imaging, we further analyzed the ToF-SIMS data extracted from the subregions of AS lesion tissues at different disease progression stages by semiquantitative comparison, clustering analysis (t-stochastic neighbor embedding and HCA), and KEGG enrichment. Thus, a much-detailed description of lipids' features in coronary AS was achieved. We constructed a ToF-SIMS mass spectrometry database of coronary AS lipids. 40 specific lipid metabolites with distinctive patterns between different pathological stages were obtained. Chemical imaging unveiled further details regarding the spatial distribution of lipids. Moreover, linoleic acid and arachidonic acid metabolic pathway were predicted to be critical in AS progression.
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Affiliation(s)
- Hao-Wen Li
- School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China.,Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, State Key Laboratory of Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P. R. China
| | - Zhan Hu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital; National Center for Cardiovascular Disease. Chinese Academy of Medicine Science (CAMS) and Perking Union Medical College (PUMC), 167A Beilishi Road, Xi Cheng District, Beijing 100037, P. R. China
| | - Xiao Chen
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital; National Center for Cardiovascular Disease. Chinese Academy of Medicine Science (CAMS) and Perking Union Medical College (PUMC), 167A Beilishi Road, Xi Cheng District, Beijing 100037, P. R. China
| | - Jie Ren
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital; National Center for Cardiovascular Disease. Chinese Academy of Medicine Science (CAMS) and Perking Union Medical College (PUMC), 167A Beilishi Road, Xi Cheng District, Beijing 100037, P. R. China
| | - Hao Cui
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital; National Center for Cardiovascular Disease. Chinese Academy of Medicine Science (CAMS) and Perking Union Medical College (PUMC), 167A Beilishi Road, Xi Cheng District, Beijing 100037, P. R. China
| | - Min Zhang
- School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Liang Chen
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital; National Center for Cardiovascular Disease. Chinese Academy of Medicine Science (CAMS) and Perking Union Medical College (PUMC), 167A Beilishi Road, Xi Cheng District, Beijing 100037, P. R. China
| | - Xin Hua
- School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China.,Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
| | - Jiangping Song
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital; National Center for Cardiovascular Disease. Chinese Academy of Medicine Science (CAMS) and Perking Union Medical College (PUMC), 167A Beilishi Road, Xi Cheng District, Beijing 100037, P. R. China
| | - Yi-Tao Long
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, P. R. China
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19
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Complementary neuropeptide detection in crustacean brain by mass spectrometry imaging using formalin and alternative aqueous tissue washes. Anal Bioanal Chem 2021; 413:2665-2673. [PMID: 33403426 DOI: 10.1007/s00216-020-03073-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/04/2020] [Accepted: 11/16/2020] [Indexed: 12/17/2022]
Abstract
Neuropeptides are low abundance signaling molecules that modulate almost every physiological process, and dysregulation of neuropeptides is implicated in disease pathology. Mass spectrometry (MS) imaging is becoming increasingly useful for studying neuropeptides as new sample preparation methods for improving neuropeptide detection are developed. In particular, proper tissue washes prior to MS imaging have shown to be quick and effective strategies for increasing the number of detectable neuropeptides. Treating tissues with solvents could result in either gain or loss of detection of analytes, and characterization of these wash effects is important for studies targeting sub-classes of neuropeptides. In this communication, we apply aqueous tissue washes that contain sodium phosphate salts, including 10% neutral buffered formalin (NBF), on crustacean brain tissues. Our optimized method resulted in complementary identification of neuropeptides between washed and unwashed tissues, indicating that our wash protocol may be used to increase total neuropeptide identifications. Finally, we show that identical neuropeptides were detected between tissues treated with 10% NBF and an aqueous 1% w/v sodium phosphate solution (composition of 10% NBF without formaldehyde), suggesting that utilizing a salt solution wash affects neuropeptide detection and formaldehyde does not affect neuropeptide detection when our wash protocol is performed.
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20
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Vu NQ, DeLaney K, Li L. Neuropeptidomics: Improvements in Mass Spectrometry Imaging Analysis and Recent Advancements. Curr Protein Pept Sci 2021; 22:158-169. [PMID: 33200705 PMCID: PMC8330971 DOI: 10.2174/1389203721666201116115708] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 05/29/2020] [Accepted: 07/23/2020] [Indexed: 12/13/2022]
Abstract
Neuropeptides are an important class of endogenous peptides in the nervous system that regulate physiological functions such as feeding, glucose homeostasis, pain, memory, reproduction, and many others. In order to understand the functional role of neuropeptides in diseases or disorders, studies investigating their dysregulation in terms of changes in abundance and localization must be carried out. As multiple neuropeptides are believed to play a functional role in each physiological process, techniques capable of global profiling multiple neuropeptides simultaneously are desired. Mass spectrometry is well-suited for this goal due to its ability to perform untargeted measurements without prior comprehensive knowledge of the analytes of interest. Mass spectrometry imaging (MSI) is particularly useful because it has the capability to image a large variety of peptides in a single experiment without labeling. Like all analytical techniques, careful sample preparation is critical to successful MSI analysis. The first half of this review focuses on recent developments in MSI sample preparation and instrumentation for analyzing neuropeptides and other biomolecules in which the sample preparation technique may be directly applicable for neuropeptide analysis. The benefit offered by incorporating these techniques is shown as improvement in a number of observable neuropeptides, enhanced signal to noise, increased spatial resolution, or a combination of these aspects. The second half of this review focuses on recent biological discoveries about neuropeptides resulting from these improvements in MSI analysis. The recent progress in neuropeptide detection and analysis methods, including the incorporation of various tissue washes, matrices, instruments, ionization sources, and computation approaches combined with the advancements in understanding neuropeptide function in a variety of model organisms, indicates the potential for the utilization of MSI analysis of neuropeptides in clinical settings.
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Affiliation(s)
- Nhu Q. Vu
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Kellen DeLaney
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
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21
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Zeng H, Qin Y, Du E, Wei Q, Li Y, Huang D, Wang G, Veenstra JA, Li S, Li N. Genomics- and Peptidomics-Based Discovery of Conserved and Novel Neuropeptides in the American Cockroach. J Proteome Res 2020; 20:1217-1228. [PMID: 33166158 DOI: 10.1021/acs.jproteome.0c00596] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
As a model hemimetabolous insect species and an invasive urban pest that is globally distributed, the American cockroach, Periplaneta americana, is of great interest in both basic and applied research. Previous studies on P. americana neuropeptide identification have been based on biochemical isolation and molecular cloning. In the present study, an integrated approach of genomics- and peptidomics-based discovery was performed for neuropeptide identification in this insect species. First, 67 conserved neuropeptide or neurohormone precursor genes were predicted via an in silico analysis of the P. americana genome and transcriptome. Using a large-scale peptidomic analysis of peptide extracts from four different tissues (the central nervous system, corpora cardiac and corpora allata complex, midgut, and male accessory gland), 35 conserved (predicted) neuropeptides and a potential (novel) neuropeptide were then identified. Subsequent experiments revealed the tissue distribution, sex difference, and developmental patterns of two conserved neuropeptides (allatostatin B and short neuropeptide F) and a novel neuropeptide (PaOGS36577). Our study shows a comprehensive neuropeptidome and detailed spatiotemporal distribution patterns, providing a solid basis for future functional studies of neuropeptides in the American cockroach (data are available via ProteomeXchange with identifier PXD021660).
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Affiliation(s)
- Huanchao Zeng
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou 510631, China.,Guangmeiyuan R&D Center, Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, South China Normal University, Meizhou 514779, China
| | - Yiru Qin
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou 510631, China.,Guangmeiyuan R&D Center, Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, South China Normal University, Meizhou 514779, China
| | - Erxia Du
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou 510631, China.,Guangmeiyuan R&D Center, Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, South China Normal University, Meizhou 514779, China
| | - Qiulan Wei
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Ying Li
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Danyan Huang
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Guirong Wang
- Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Jan A Veenstra
- INCIA, UMR 5287 CNRS, Université de Bordeaux, Pessac F33615, France
| | - Sheng Li
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou 510631, China.,Guangmeiyuan R&D Center, Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, South China Normal University, Meizhou 514779, China
| | - Na Li
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, Institute of Insect Science and Technology, School of Life Sciences, South China Normal University, Guangzhou 510631, China.,Guangmeiyuan R&D Center, Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, South China Normal University, Meizhou 514779, China
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22
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Cazier H, Malgorn C, Fresneau N, Georgin D, Sallustrau A, Chollet C, Tabet JC, Campidelli S, Pinault M, Mayne M, Taran F, Dive V, Junot C, Fenaille F, Colsch B. Development of a Mass Spectrometry Imaging Method for Detecting and Mapping Graphene Oxide Nanoparticles in Rodent Tissues. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:1025-1036. [PMID: 32223237 DOI: 10.1021/jasms.9b00070] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Graphene-based nanoparticles are continuously being developed for biomedical applications, and their use raises concerns about their environmental and biological impact. In the literature, some imaging techniques based on fluorescence and radioimaging have been used to explore their fate in vivo. Here, we report on the use of label-free mass spectrometry and mass spectrometry imaging (MSI) for graphene oxide (GO) and reduced graphene oxide (rGO) analyses in rodent tissues. Thereby, we extend previous work by focusing on practical questions to obtain reliable and meaningful images. Specific radical anionic carbon clusters ranging from C2-• to C9-• were observed for both GO and rGO species, with a base peak at m/z 72 under negative laser desorption ionization mass spectrometry (LDI-MS) conditions. Extension to an LDI-MSI method was then performed, thus enabling the efficient detection of GO nanoparticles in lung tissue sections of previously exposed mice. The possibility of quantifying those nanoparticles on tissue sections has also been investigated. Two different ways of building calibration curves (i.e., GO suspensions spotted on tissue sections, or added to lung tissue homogenates) were evaluated and returned similar results, with linear dynamic concentration ranges over at least 2 orders of magnitude. Moreover, intra- and inter-day precision studies have been assessed, with relative standard deviation below 25% for each concentration point of a calibration curve. In conclusion, our study confirms that LDI-MSI is a relevant approach for biodistribution studies of carbon-based nanoparticles, as quantification can be achieved, provided that nanoparticle suspension and manufacturing are carefully controlled.
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Affiliation(s)
- Hélène Cazier
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Carole Malgorn
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Nathalie Fresneau
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Dominique Georgin
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Antoine Sallustrau
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Céline Chollet
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Jean-Claude Tabet
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | | | - Mathieu Pinault
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Martine Mayne
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Frédéric Taran
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Vincent Dive
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Christophe Junot
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - François Fenaille
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
| | - Benoit Colsch
- INRAE, Médicaments et Technologies pour la Santé (MTS), Université Paris-Saclay, CEA, 91191 Gif-sur-Yvette, France
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23
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Peng J, Zhang H, Niu H, Wu R. Peptidomic analyses: The progress in enrichment and identification of endogenous peptides. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.115835] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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24
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Yang FY, Chen JH, Ruan QQ, Saqib HSA, He WY, You MS. Mass spectrometry imaging: An emerging technology for the analysis of metabolites in insects. ARCHIVES OF INSECT BIOCHEMISTRY AND PHYSIOLOGY 2020; 103:e21643. [PMID: 31667894 DOI: 10.1002/arch.21643] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 09/29/2019] [Accepted: 10/14/2019] [Indexed: 05/18/2023]
Abstract
Mass spectrometry imaging (MSI) can visualize the composition, abundance, and spatial distribution of molecules in tissues or cells, which has been widely used in the research of life science. Insects, especially the agricultural pests, have received a great deal of interests from the scientists in biodiversity and food security. This review introduces the major characteristics of MSI, summarizes its application to the investigation of insect endogenous metabolites, exogenous metabolites, and the spatiotemporal changes of metabolites between insects and plants, and discusses its shortfalls and perspectives. The significance of these concerns is beneficial for future insect research such as physiology and metabolism.
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Affiliation(s)
- Fei-Ying Yang
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Jun-Hui Chen
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Qian-Qian Ruan
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hafiz S A Saqib
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Wei-Yi He
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Min-Sheng You
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
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25
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Heiles S, Kompauer M, Müller MA, Spengler B. Atmospheric-Pressure MALDI Mass Spectrometry Imaging at 213 nm Laser Wavelength. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:326-335. [PMID: 32031384 DOI: 10.1021/jasms.9b00052] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
First results for a new atmospheric-pressure matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging source operating at 213 nm laser wavelength are presented. The activation of analytes in the 213 nm MALDI process at atmospheric pressure was evaluated and compared to results for 337 nm MALDI and electrospray ionization using thermometer molecules. Different sample preparation techniques for nicotinic acid, the matrix with the highest ionization efficiency at 213 nm of all tested matrices, were evaluated and optimized to obtain small crystal sizes, homogenous matrix layer sample coverage, and high ion signal gains. Mass spectrometry imaging experiments of phospholipids in mouse tissue sections in positive- and negative-ion mode with different lateral resolutions and the corresponding pre-/post-mass spectrometry imaging workflows are presented. The use of custom-made objective lenses resulted in sample ablation spot diameters of on average 2.9 μm, allowing mass spectrometry imaging experiments to be performed with 3 μm pixel size without oversampling. The ion source was coupled to an orbital trapping mass spectrometer offering high mass resolution (>100.000), high mass accuracy (≤ ±2 ppm), and high sensitivity (single pixel on-tissue tandem MS from 6.6 μm2 ablation area). The newly developed 213 nm atmospheric-pressure MALDI source combines the high mass resolution and high mass accuracy performance characteristics of orbital trapping mass spectrometers with high lateral resolution (pixel size ∼3 μm) mass spectrometry imaging.
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Affiliation(s)
- Sven Heiles
- Institute of Inorganic and Analytical Chemistry , Justus Liebig University Giessen , 35392 Giessen , Germany
| | - Mario Kompauer
- Institute of Inorganic and Analytical Chemistry , Justus Liebig University Giessen , 35392 Giessen , Germany
| | - Max A Müller
- Institute of Inorganic and Analytical Chemistry , Justus Liebig University Giessen , 35392 Giessen , Germany
| | - Bernhard Spengler
- Institute of Inorganic and Analytical Chemistry , Justus Liebig University Giessen , 35392 Giessen , Germany
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26
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Elpa DP, Prabhu GRD, Wu SP, Tay KS, Urban PL. Automation of mass spectrometric detection of analytes and related workflows: A review. Talanta 2019; 208:120304. [PMID: 31816721 DOI: 10.1016/j.talanta.2019.120304] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 08/26/2019] [Accepted: 08/28/2019] [Indexed: 12/13/2022]
Abstract
The developments in mass spectrometry (MS) in the past few decades reveal the power and versatility of this technology. MS methods are utilized in routine analyses as well as research activities involving a broad range of analytes (elements and molecules) and countless matrices. However, manual MS analysis is gradually becoming a thing of the past. In this article, the available MS automation strategies are critically evaluated. Automation of analytical workflows culminating with MS detection encompasses involvement of automated operations in any of the steps related to sample handling/treatment before MS detection, sample introduction, MS data acquisition, and MS data processing. Automated MS workflows help to overcome the intrinsic limitations of MS methodology regarding reproducibility, throughput, and the expertise required to operate MS instruments. Such workflows often comprise automated off-line and on-line steps such as sampling, extraction, derivatization, and separation. The most common instrumental tools include autosamplers, multi-axis robots, flow injection systems, and lab-on-a-chip. Prototyping customized automated MS systems is a way to introduce non-standard automated features to MS workflows. The review highlights the enabling role of automated MS procedures in various sectors of academic research and industry. Examples include applications of automated MS workflows in bioscience, environmental studies, and exploration of the outer space.
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Affiliation(s)
- Decibel P Elpa
- Department of Applied Chemistry, National Chiao Tung University, 1001 University Rd., Hsinchu, 300, Taiwan; Department of Chemistry, National Tsing Hua University, 101, Section 2, Kuang-Fu Rd., Hsinchu, 30013, Taiwan
| | - Gurpur Rakesh D Prabhu
- Department of Applied Chemistry, National Chiao Tung University, 1001 University Rd., Hsinchu, 300, Taiwan; Department of Chemistry, National Tsing Hua University, 101, Section 2, Kuang-Fu Rd., Hsinchu, 30013, Taiwan
| | - Shu-Pao Wu
- Department of Applied Chemistry, National Chiao Tung University, 1001 University Rd., Hsinchu, 300, Taiwan.
| | - Kheng Soo Tay
- Department of Chemistry, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Pawel L Urban
- Department of Chemistry, National Tsing Hua University, 101, Section 2, Kuang-Fu Rd., Hsinchu, 30013, Taiwan; Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, 101, Section 2, Kuang-Fu Rd., Hsinchu, 30013, Taiwan.
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27
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Judd AM, Gutierrez DB, Moore JL, Patterson NH, Yang J, Romer CE, Norris JL, Caprioli RM. A recommended and verified procedure for in situ tryptic digestion of formalin-fixed paraffin-embedded tissues for analysis by matrix-assisted laser desorption/ionization imaging mass spectrometry. JOURNAL OF MASS SPECTROMETRY : JMS 2019; 54:716-727. [PMID: 31254303 PMCID: PMC6711785 DOI: 10.1002/jms.4384] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 06/20/2019] [Accepted: 06/20/2019] [Indexed: 05/06/2023]
Abstract
Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is a molecular imaging technology uniquely capable of untargeted measurement of proteins, lipids, and metabolites while retaining spatial information about their location in situ. This powerful combination of capabilities has the potential to bring a wealth of knowledge to the field of molecular histology. Translation of this innovative research tool into clinical laboratories requires the development of reliable sample preparation protocols for the analysis of proteins from formalin-fixed paraffin-embedded (FFPE) tissues, the standard preservation process in clinical pathology. Although ideal for stained tissue analysis by microscopy, the FFPE process cross-links, disrupts, or can remove proteins from the tissue, making analysis of the protein content challenging. To date, reported approaches differ widely in process and efficacy. This tutorial presents a strategy derived from systematic testing and optimization of key parameters, for reproducible in situ tryptic digestion of proteins in FFPE tissue and subsequent MALDI IMS analysis. The approach describes a generalized method for FFPE tissues originating from virtually any source.
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Affiliation(s)
- Audra M. Judd
- Mass Spectrometry Research Center, Vanderbilt University, Nashville TN, 37235
- Departments of Biochemistry, Vanderbilt University, Nashville TN, 37235
- Correspondence: Dr. Richard M. Caprioli, 9160 MRB III, Department of Biochemistry, Vanderbilt University, Nashville, TN 37232, USA, Phone: (615) 322-4336, Fax: (615) 343-8372,
| | - Danielle B. Gutierrez
- Mass Spectrometry Research Center, Vanderbilt University, Nashville TN, 37235
- Departments of Biochemistry, Vanderbilt University, Nashville TN, 37235
- Correspondence: Dr. Richard M. Caprioli, 9160 MRB III, Department of Biochemistry, Vanderbilt University, Nashville, TN 37232, USA, Phone: (615) 322-4336, Fax: (615) 343-8372,
| | - Jessica L. Moore
- Mass Spectrometry Research Center, Vanderbilt University, Nashville TN, 37235
- Departments of Biochemistry, Vanderbilt University, Nashville TN, 37235
| | - Nathan Heath Patterson
- Mass Spectrometry Research Center, Vanderbilt University, Nashville TN, 37235
- Departments of Biochemistry, Vanderbilt University, Nashville TN, 37235
| | - Junhai Yang
- Mass Spectrometry Research Center, Vanderbilt University, Nashville TN, 37235
- Departments of Biochemistry, Vanderbilt University, Nashville TN, 37235
| | - Carrie E. Romer
- Mass Spectrometry Research Center, Vanderbilt University, Nashville TN, 37235
| | - Jeremy L. Norris
- Mass Spectrometry Research Center, Vanderbilt University, Nashville TN, 37235
- Departments of Biochemistry, Vanderbilt University, Nashville TN, 37235
- Departments of Chemistry, Vanderbilt University, Nashville TN, 37235
| | - Richard M. Caprioli
- Mass Spectrometry Research Center, Vanderbilt University, Nashville TN, 37235
- Departments of Biochemistry, Vanderbilt University, Nashville TN, 37235
- Departments of Chemistry, Vanderbilt University, Nashville TN, 37235
- Departments of Pharmacology, Vanderbilt University, Nashville TN, 37235
- Departments of Medicine, Vanderbilt University, Nashville TN, 37235
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28
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Ly A, Ragionieri L, Liessem S, Becker M, Deininger SO, Neupert S, Predel R. Enhanced Coverage of Insect Neuropeptides in Tissue Sections by an Optimized Mass-Spectrometry-Imaging Protocol. Anal Chem 2019; 91:1980-1988. [DOI: 10.1021/acs.analchem.8b04304] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Alice Ly
- Bruker Daltonik GmbH, Fahrenheitstraße 4, 28359 Bremen, Germany
| | - Lapo Ragionieri
- Department for Biology, Institute of Zoology, University of Cologne, 50674 Cologne, Germany
| | - Sander Liessem
- Department for Biology, Institute of Zoology, University of Cologne, 50674 Cologne, Germany
| | - Michael Becker
- Bruker Daltonik GmbH, Fahrenheitstraße 4, 28359 Bremen, Germany
| | | | - Susanne Neupert
- Department for Biology, Institute of Zoology, University of Cologne, 50674 Cologne, Germany
| | - Reinhard Predel
- Department for Biology, Institute of Zoology, University of Cologne, 50674 Cologne, Germany
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29
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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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