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Shi L, Liu S, Li X, Huang X, Luo H, Bai Q, Li Z, Wang L, Du X, Jiang C, Liu S, Li C. Droplet microarray platforms for high-throughput drug screening. Mikrochim Acta 2023; 190:260. [PMID: 37318602 DOI: 10.1007/s00604-023-05833-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 05/15/2023] [Indexed: 06/16/2023]
Abstract
High-throughput screening platforms are fundamental for the rapid and efficient processing of large amounts of experimental data. Parallelization and miniaturization of experiments are important for improving their cost-effectiveness. The development of miniaturized high-throughput screening platforms is essential in the fields of biotechnology, medicine, and pharmacology. Currently, most laboratories use 96- or 384-well microtiter plates for screening; however, they have disadvantages, such as high reagent and cell consumption, low throughput, and inability to avoid cross-contamination, which need to be further optimized. Droplet microarrays, as novel screening platforms, can effectively avoid these shortcomings. Here, the preparation method of the droplet microarray, method of adding compounds in parallel, and means to read the results are briefly described. Next, the latest research on droplet microarray platforms in biomedicine is presented, including their application in high-throughput culture, cell screening, high-throughput nucleic acid screening, drug development, and individualized medicine. Finally, the challenges and future trends in droplet microarray technology are summarized.
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Affiliation(s)
- Lina Shi
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Sutong Liu
- Juxing College of Digital Economics, Haikou University of Economics, Haikou, 570100, China
| | - Xue Li
- Sichuan Hanyuan County People's Hospital, Hanyuan, 625300, China
| | - Xiwei Huang
- Ministry of Education Key Lab of RFCircuits and Systems, Hangzhou Dianzi University, Hangzhou, 310038, China
| | - Hongzhi Luo
- Department of Laboratory Medicine, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, 563002, China
| | - Qianwen Bai
- Department of Laboratory Medicine, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, 563002, China
| | - Zhu Li
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
| | - Lijun Wang
- Department of Ophthalmology, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Xiaoxin Du
- Office of Scientific Research & Development, University of Electronic Science and Technology, Chengdu, 610054, China
| | - Cheng Jiang
- Biomedical Engineering, School of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, China
| | - Shan Liu
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Department of Medical Genetics, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.
| | - Chenzhong Li
- Biomedical Engineering, School of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, China
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2
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Advances in Mass Spectrometry-Based Single Cell Analysis. BIOLOGY 2023; 12:biology12030395. [PMID: 36979087 PMCID: PMC10045136 DOI: 10.3390/biology12030395] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/27/2023] [Accepted: 03/01/2023] [Indexed: 03/06/2023]
Abstract
Technological developments and improvements in single-cell isolation and analytical platforms allow for advanced molecular profiling at the single-cell level, which reveals cell-to-cell variation within the admixture cells in complex biological or clinical systems. This helps to understand the cellular heterogeneity of normal or diseased tissues and organs. However, most studies focused on the analysis of nucleic acids (e.g., DNA and RNA) and mass spectrometry (MS)-based analysis for proteins and metabolites of a single cell lagged until recently. Undoubtedly, MS-based single-cell analysis will provide a deeper insight into cellular mechanisms related to health and disease. This review summarizes recent advances in MS-based single-cell analysis methods and their applications in biology and medicine.
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3
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Dueñas ME, Peltier‐Heap RE, Leveridge M, Annan RS, Büttner FH, Trost M. Advances in high-throughput mass spectrometry in drug discovery. EMBO Mol Med 2022; 15:e14850. [PMID: 36515561 PMCID: PMC9832828 DOI: 10.15252/emmm.202114850] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 10/03/2022] [Accepted: 10/07/2022] [Indexed: 12/15/2022] Open
Abstract
High-throughput (HT) screening drug discovery, during which thousands or millions of compounds are screened, remains the key methodology for identifying active chemical matter in early drug discovery pipelines. Recent technological developments in mass spectrometry (MS) and automation have revolutionized the application of MS for use in HT screens. These methods allow the targeting of unlabelled biomolecules in HT assays, thereby expanding the breadth of targets for which HT assays can be developed compared to traditional approaches. Moreover, these label-free MS assays are often cheaper, faster, and more physiologically relevant than competing assay technologies. In this review, we will describe current MS techniques used in drug discovery and explain their advantages and disadvantages. We will highlight the power of mass spectrometry in label-free in vitro assays, and its application for setting up multiplexed cellular phenotypic assays, providing an exciting new tool for screening compounds in cell lines, and even primary cells. Finally, we will give an outlook on how technological advances will increase the future use and the capabilities of mass spectrometry in drug discovery.
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Affiliation(s)
- Maria Emilia Dueñas
- Laboratory for Biomedical Mass Spectrometry, Biosciences InstituteNewcastle UniversityNewcastle‐upon‐TyneUK
| | - Rachel E Peltier‐Heap
- Discovery Analytical, Screening Profiling and Mechanistic Biology, GSK R&DStevenageUK
| | - Melanie Leveridge
- Discovery Analytical, Screening Profiling and Mechanistic Biology, GSK R&DStevenageUK
| | - Roland S Annan
- Discovery Analytical, Screening Profiling and Mechanistic Biology, GSK R&DStevenageUK
| | - Frank H Büttner
- Drug Discovery Sciences, High Throughput BiologyBoehringer Ingelheim Pharma GmbH&CoKGBiberachGermany
| | - Matthias Trost
- Laboratory for Biomedical Mass Spectrometry, Biosciences InstituteNewcastle UniversityNewcastle‐upon‐TyneUK
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4
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Tarfeen N, Nisa KU, Nisa Q. MALDI-TOF MS: application in diagnosis, dereplication, biomolecule profiling and microbial ecology. PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY 2022. [PMCID: PMC9340741 DOI: 10.1007/s43538-022-00085-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized scientific research over the past few decades and has provided a unique platform in ongoing technological developments. Undoubtedly, there has been a bloom chiefly in the field of biological sciences with this emerging technology, and has enabled researchers to generate critical data in the field of disease diagnoses, drug development, dereplication. It has received well acceptance in the field of microbial identification even at strain level, as well as diversified field like biomolecule profiling (proteomics and lipidomics) has evolved tremendously. Additionally, this approach has received a lot more attention over conventional technologies due to its high throughput, speed, and cost effectiveness. This review aims to provide a detailed insight regarding the application of MALDI-TOF MS in the context of medicine, biomolecule profiling, dereplication, and microbial ecology. In general, the expansion in the application of this technology and new advancements it has made in the field of science and technology has been highlighted.
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5
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LPS-induced lipid alterations in microglia revealed by MALDI mass spectrometry-based cell fingerprinting in neuroinflammation studies. Sci Rep 2022; 12:2908. [PMID: 35190595 PMCID: PMC8861089 DOI: 10.1038/s41598-022-06894-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 02/03/2022] [Indexed: 12/17/2022] Open
Abstract
Pathological microglia activation can promote neuroinflammation in many neurodegenerative diseases, and it has therefore emerged as a potential therapeutic target. Increasing evidence suggests alterations in lipid metabolism as modulators and indicators in microglia activation and its effector functions. Yet, how lipid dynamics in activated microglia is affected by inflammatory stimuli demands additional investigation to allow development of more effective therapies. Here, we report an extensive matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) whole cell fingerprinting workflow to investigate inflammation-associated lipid patterns in SIM-A9 microglial cells. By combining a platform of three synergistic MALDI MS technologies we could detect substantial differences in lipid profiles of lipopolysaccharide (LPS)- stimulated and unstimulated microglia-like cells leading to the identification of 21 potential inflammation-associated lipid markers. LPS-induced lipids in SIM-A9 microglial cells include phosphatidylcholines, lysophosphatidylcholines (LysoPC), sphingolipids, diacylglycerols and triacylglycerols. Moreover, MALDI MS-based cell lipid fingerprinting of LPS-stimulated SIM-A9 microglial cells pre-treated with the non-selective histone deacetylase inhibitor suberoylanilide hydroxamic acid revealed specific modulation of LPS-induced-glycerolipids and LysoPC(18:0) with a significant reduction of microglial inflammation response. Our study introduces MALDI MS as a complementary technology for fast and label-free investigation of stimulus-dependent changes in lipid patterns and their modulation by pharmaceutical agents.
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6
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Unger MS, Blank M, Enzlein T, Hopf C. Label-free cell assays to determine compound uptake or drug action using MALDI-TOF mass spectrometry. Nat Protoc 2021; 16:5533-5558. [PMID: 34759382 DOI: 10.1038/s41596-021-00624-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 08/26/2021] [Indexed: 11/09/2022]
Abstract
Cell-based assays for compound screening and profiling are fundamentally important in life sciences, chemical biology and pharmaceutical research. Most cell assays measure the amount of a single reporter molecule or cellular endpoint, and require the use of fluorescence or other labeled materials. Consequently, there is high demand for label-free technologies that enable multiple biomolecules or endpoints to be measured simultaneously. Here, we describe how to develop, optimize and validate MALDI-TOF mass spectrometry (MS) cell assays that can be used to measure cellular uptake of transporter substrates, to monitor cellular drug target engagement or to discover cellular drug-response markers. In uptake assays, intracellular accumulation of a transporter substrate and its inhibition by test compounds is measured. In drug response assays, changes to multiple cellular metabolites or to abundant posttranslational protein modifications are monitored as reporters of drug activity. We detail a ten-part optimization protocol with every part taking 1-2 d that leads to a final 2 d optimized procedure, which includes cell treatment, transfer, MALDI MS-specific sample preparation, quantification using stable-isotope-labeled standards, MALDI-TOF MS data acquisition, data processing and analysis. Key considerations for validation and automation of MALDI-TOF MS cell assays are outlined. Overall, label-free MS cell-based assays offer speed, sensitivity, accuracy and versatility in drug research.
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Affiliation(s)
- Melissa S Unger
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Mannheim, Germany
| | - Martina Blank
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Mannheim, Germany.,Structural Molecular Biology Laboratory (LABIME), Department of Biochemistry, Federal University of Santa Catarina, Florianópolis, Brazil
| | - Thomas Enzlein
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Mannheim, Germany
| | - Carsten Hopf
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Mannheim, Germany.
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7
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Unsupervised methods in LC-MS data treatment: Application for potential chemotaxonomic markers search. J Pharm Biomed Anal 2021; 206:114382. [PMID: 34597842 DOI: 10.1016/j.jpba.2021.114382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/12/2021] [Accepted: 09/15/2021] [Indexed: 11/20/2022]
Abstract
The combination of Liquid Chromatography and Mass Spectrometry (LC-MS) is commonly used to determine and characterize biologically active compounds because of its high resolution and sensitivity. In this work we explore the interpretation of LC-MS data using multivariate statistical analysis algorithms to extract useful chemical information and identify clusters of similar samples. Samples of leaves from 19 plants belonging to the Apiaceae family were analyzed in unified LC conditions by high- and low-resolution mass spectrometry in a wide range scan mode. LC-MS data preprocessing was performed followed by statistical analysis using tensor decomposition in the form of Parallel Factor Analysis (PARAFAC); matrix factorization following tensor unfolding with principal component analysis (PCA), independent component analysis (ICA), non-negative matrix factorization (NMF); or unsupervised feature selection (UFS). The optimal number of components for each of these methods were found and results were compared using four different metrics: silhouette score, Davies-Bouldin index, computational time, number of noisy components. It was found that PCA, ICA and UFS give the best results across the majority of the criteria for both low- and high-resolution data. An algorithm for biomarker signal selection is suggested and 23 potential chemotaxonomic markers were tentatively identified using MS2 data. Dendrograms constructed by the methods were compared to the molecular phylogenic tree by calculating pixel-wise mean square error (MSE). Therefore, the suggested approach can support chemotaxonomic studies and yield valuable chemical information for biomarker discovery.
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8
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Han SS, Jeong YS, Choi SK. Current Scenario and Challenges in the Direct Identification of Microorganisms Using MALDI TOF MS. Microorganisms 2021; 9:microorganisms9091917. [PMID: 34576812 PMCID: PMC8466008 DOI: 10.3390/microorganisms9091917] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 09/01/2021] [Accepted: 09/07/2021] [Indexed: 01/12/2023] Open
Abstract
MALDI TOF MS-based microbial identification significantly lowers the operational costs because of minimal requirements of substrates and reagents for extraction. Therefore, it has been widely used in varied applications such as clinical, food, military, and ecological research. However, the MALDI TOF MS method is laced with many challenges including its limitation of the reference spectrum. This review briefly introduces the background of MALDI TOF MS technology, including sample preparation and workflow. We have primarily discussed the application of MALDI TOF MS in the identification of microorganisms. Furthermore, we have discussed the current trends for bioaerosol detection using MALDI TOF MS and the limitations and challenges involved, and finally the approaches to overcome these challenges.
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Affiliation(s)
- Sang-Soo Han
- Advanced Defense Science & Technology Research Institute, Agency for Defense Development, Daejeon 34186, Korea;
| | - Young-Su Jeong
- Chem-Bio Technology Center, Agency for Defense Development, Daejeon 34186, Korea;
- Correspondence: ; Tel.: +82-42-821-4843; Fax: +82-42-823-3400
| | - Sun-Kyung Choi
- Chem-Bio Technology Center, Agency for Defense Development, Daejeon 34186, Korea;
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9
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RamalloGuevara C, Paulssen D, Popova AA, Hopf C, Levkin PA. Fast Nanoliter-Scale Cell Assays Using Droplet Microarray-Mass Spectrometry Imaging. Adv Biol (Weinh) 2021; 5:e2000279. [PMID: 33729695 DOI: 10.1002/adbi.202000279] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/23/2020] [Indexed: 12/21/2022]
Abstract
In pharmaceutical research and development, cell-based assays are primarily used with readout that rely on fluorescence-based and other label-dependent techniques for analysis of different cellular processes. Superhydrophobic-hydrophilic droplet microarrays (DMA) and matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) have recently emerged as key technologies for miniaturized high-throughput cell assays and for label-free molecular high-content drug profiling, respectively. Here, nanoliter-scale cell assays are integrated on DMAs with MALDI-MS imaging (MALDI-MSI) approaches to a droplet microarray-mass spectrometry imaging (DMA-MSI) platform. Using A549 lung cancer cells, concentration-response profiling of a pharmaceutical compound, the fatty acid synthase inhibitor GSK2194069, are demonstrated. Direct cell culture on DMAs enables combination of microscopy and high speed, high molecular content analysis using MALDI-MSI. Miniaturization of array spots down to 0.5 mm confining 40 nL droplets allows for MALDI imaging analysis of as few as ten cells per spot. Partial automation ensures a fast sample preparation workflow. Taken together, the integrated DMA-MSI platform that combines MALDI-MSI, as a label-free analytical readout, with the miniaturized droplet microarray platform is a valuable complement to high throughput cell-based assays technologies.
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Affiliation(s)
- Carina RamalloGuevara
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack Str. 10, Mannheim, 68163, Germany
| | - Dorothea Paulssen
- Karlsruhe Institute of Technology (KIT), Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, 76344, Germany
| | - Anna A Popova
- Karlsruhe Institute of Technology (KIT), Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, 76344, Germany
| | - Carsten Hopf
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack Str. 10, Mannheim, 68163, Germany
| | - Pavel A Levkin
- Karlsruhe Institute of Technology (KIT), Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, 76344, Germany
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10
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Unger MS, Schumacher L, Enzlein T, Weigt D, Zamek-Gliszczynski MJ, Schwab M, Nies AT, Drewes G, Schulz S, Reinhard FBM, Hopf C. Direct Automated MALDI Mass Spectrometry Analysis of Cellular Transporter Function: Inhibition of OATP2B1 Uptake by 294 Drugs. Anal Chem 2020; 92:11851-11859. [DOI: 10.1021/acs.analchem.0c02186] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Melissa S. Unger
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack Str. 10, 68163 Mannheim, Germany
- Institute of Medical Technology, Heidelberg University and Mannheim University of Applied Sciences, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
- Cellzome - a GlaxoSmithKline company, Meyerhofstr. 1, 69177 Heidelberg, Germany
| | - Lena Schumacher
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack Str. 10, 68163 Mannheim, Germany
| | - Thomas Enzlein
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack Str. 10, 68163 Mannheim, Germany
| | - David Weigt
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack Str. 10, 68163 Mannheim, Germany
| | - Maciej J. Zamek-Gliszczynski
- Drug Metabolism and Pharmacokinetics, GlaxoSmithKline, 1250 S Collegeville Road, Collegeville, Pennsylvania 19426, United States
| | - Matthias Schwab
- Dr. Margarete Fischer-Bosch-Institute for Clinical Pharmacology, Auerbachstr. 112, 70376 Stuttgart, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tuebingen, 72076 Tuebingen, Germany
- Departments of Clinical Pharmacology, Pharmacy and Biochemistry, University of Tuebingen, Auf der Morgenstelle 8, 72076 Tübingen, Germany
| | - Anne T. Nies
- Dr. Margarete Fischer-Bosch-Institute for Clinical Pharmacology, Auerbachstr. 112, 70376 Stuttgart, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tuebingen, 72076 Tuebingen, Germany
| | - Gerard Drewes
- Cellzome - a GlaxoSmithKline company, Meyerhofstr. 1, 69177 Heidelberg, Germany
| | - Sandra Schulz
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack Str. 10, 68163 Mannheim, Germany
| | | | - Carsten Hopf
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack Str. 10, 68163 Mannheim, Germany
- Institute of Medical Technology, Heidelberg University and Mannheim University of Applied Sciences, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
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11
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Gachumi G, Purves RW, Hopf C, El-Aneed A. Fast Quantification Without Conventional Chromatography, The Growing Power of Mass Spectrometry. Anal Chem 2020; 92:8628-8637. [PMID: 32510944 DOI: 10.1021/acs.analchem.0c00877] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Mass spectrometry (MS) in hyphenated techniques is widely accepted as the gold standard quantitative tool in life sciences. However, MS possesses intrinsic analytical capabilities that allow it to be a stand-alone quantitative technique, particularly with current technological advancements. MS has a great potential for simplifying quantitative analysis without the need for tedious chromatographic separation. Its selectivity relies on multistage MS analysis (MSn), including tandem mass spectrometry (MS/MS), as well as the ever-growing advancements of high-resolution MS instruments. This perspective describes various analytical platforms that utilize MS as a stand-alone quantitative technique, namely, flow injection analysis (FIA), matrix assisted laser desorption ionization (MALDI), including MALDI-MS imaging and ion mobility, particularly high-field asymmetric waveform ion mobility spectrometry (FAIMS). When MS alone is not capable of providing reliable quantitative data, instead of conventional liquid chromatography (LC)-MS, the use of a guard column (i.e., fast chromatography) may be sufficient for quantification. Although the omission of chromatographic separation simplifies the analytical process, extra procedures may be needed during sample preparation and clean-up to address the issue of matrix effects. The discussion of this manuscript focuses on key parameters underlying the uniqueness of each technique for its application in quantitative analysis without the need for a chromatographic separation. In addition, the potential for each analytical strategy and its challenges are discussed as well as improvements needed to render them as mainstream quantitative analytical tools. Overcoming the hurdles for fully validating a quantitative method will allow MS alone to eventually become an indispensable quantitative tool for clinical and toxicological studies.
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Affiliation(s)
- George Gachumi
- College of Pharmacy and Nutrition, University of Saskatchewan, 107 Wiggins Road, Saskatoon, Saskatchewan Canada, S7N 5E5
| | - Randy W Purves
- College of Pharmacy and Nutrition, University of Saskatchewan, 107 Wiggins Road, Saskatoon, Saskatchewan Canada, S7N 5E5.,Centre for Veterinary Drug Residues, Canadian Food Inspection Agency, 116 Veterinary Rd, Saskatoon, Saskatchewan Canada, S7N 2R3
| | - Carsten Hopf
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack-Strasse 10, 68163 Mannheim, Germany
| | - Anas El-Aneed
- College of Pharmacy and Nutrition, University of Saskatchewan, 107 Wiggins Road, Saskatoon, Saskatchewan Canada, S7N 5E5
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12
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Hopp MT, Schmalohr BF, Kühl T, Detzel MS, Wißbrock A, Imhof D. Heme Determination and Quantification Methods and Their Suitability for Practical Applications and Everyday Use. Anal Chem 2020; 92:9429-9440. [PMID: 32490668 DOI: 10.1021/acs.analchem.0c00415] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Many research institutions, clinical diagnostic laboratories, and blood banks are desperately searching for a possibility to identify and quantify heme in different physiological and pathological settings as well as various research applications. The reasons for this are the toxicity of the heme and the fact that it acts as a hemolytic and pro-inflammatory molecule. Heme only exerts these severe and undesired effects when it is not incorporated in hemoproteins. Upon release from the hemoproteins, it enters a biologically available state (labile heme), in which it is loosely associated with proteins, lipids, nucleic acids, or other molecules. While the current methods and procedures for quantitative determination of heme have been used for many years in different settings, their value is limited by the challenging chemical properties of heme. A major cause of inadequate quantification is the separation of labile and permanently bound heme and its high aggregation potential. Thus, none of the current methods are utilized as a generally applicable, standardized approach. The aim of this Feature is to describe and summarize the most common and frequently used chemical, analytical, and biochemical methods for the quantitative determination of heme. Based on this overview, the most promising approaches for future solutions to heme quantification are highlighted.
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Affiliation(s)
- Marie-T Hopp
- Pharmaceutical Biochemistry and Bioanalytics, Pharmaceutical Institute, University of Bonn, D-53121 Bonn, Germany
| | - Benjamin F Schmalohr
- Pharmaceutical Biochemistry and Bioanalytics, Pharmaceutical Institute, University of Bonn, D-53121 Bonn, Germany
| | - Toni Kühl
- Pharmaceutical Biochemistry and Bioanalytics, Pharmaceutical Institute, University of Bonn, D-53121 Bonn, Germany
| | - Milena S Detzel
- Pharmaceutical Biochemistry and Bioanalytics, Pharmaceutical Institute, University of Bonn, D-53121 Bonn, Germany
| | - Amelie Wißbrock
- Pharmaceutical Biochemistry and Bioanalytics, Pharmaceutical Institute, University of Bonn, D-53121 Bonn, Germany
| | - Diana Imhof
- Pharmaceutical Biochemistry and Bioanalytics, Pharmaceutical Institute, University of Bonn, D-53121 Bonn, Germany
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13
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Rahi P, Vaishampayan P. Editorial: MALDI-TOF MS Application in Microbial Ecology Studies. Front Microbiol 2020; 10:2954. [PMID: 31998259 PMCID: PMC6966959 DOI: 10.3389/fmicb.2019.02954] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 12/09/2019] [Indexed: 12/11/2022] Open
Affiliation(s)
- Praveen Rahi
- National Centre for Microbial Resource, National Centre for Cell Science, Pune, India
| | - Parag Vaishampayan
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
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14
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Omta WA, van Heesbeen RG, Shen I, Feelders AJ, Brinkhuis M, Egan DA, Spruit MR. PurifyR: An R Package for Highly Automated, Reproducible Variable Extraction and Standardization. SYSTEMS MEDICINE 2020. [DOI: 10.1089/sysm.2019.0007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Affiliation(s)
- Wienand A. Omta
- Department of Cell Biology, Centre for Molecular Medicine, UMC Utrecht, Utrecht, The Netherlands
- Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands
- Core Life Analytics B.V., Utrecht, The Netherlands
| | | | - Ian Shen
- Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands
| | - Ad J. Feelders
- Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands
| | - M.J.S. Brinkhuis
- Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands
| | | | - Marco R. Spruit
- Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands
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15
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Weigt D, Parrish CA, Krueger JA, Oleykowski CA, Rendina AR, Hopf C. Mechanistic MALDI-TOF Cell-Based Assay for the Discovery of Potent and Specific Fatty Acid Synthase Inhibitors. Cell Chem Biol 2019; 26:1322-1331.e4. [PMID: 31279605 DOI: 10.1016/j.chembiol.2019.06.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Revised: 05/24/2019] [Accepted: 06/14/2019] [Indexed: 12/25/2022]
Abstract
Human cancers require fatty acid synthase (FASN)-dependent de novo long-chain fatty acid synthesis for proliferation. FASN is therefore an attractive drug target, but fast technologies for reliable label-free cellular compound profiling are lacking. Recently, MALDI-mass spectrometry (MALDI-MS) has emerged as an effective technology for discovery of recombinant protein target inhibitors. Here we present an automated, mechanistic MALDI-MS cell assay, which monitors accumulation of the FASN substrate, malonyl-coenzyme A (CoA), in whole cells with limited sample preparation. Profiling of inhibitors, including unpublished compounds, identified compound 1 as the most potent FASN inhibitor (1 nM in A549 cells) discovered to date. Moreover, cellular MALDI-MS assays enable parallel profiling of additional pathway metabolites. Surprisingly, several compounds triggered cytidine 5'-diphosphocholine (CDP-choline) but not malonyl-CoA accumulation indicating that they inhibit diacylglycerol generation but not FASN activity. Taken together, our study suggests that MALDI-MS cell assays may become important tools in drug profiling that provide additional mechanistic insights concerning compound action on metabolic pathways.
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Affiliation(s)
- David Weigt
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim Technical University, Paul-Wittsack-Strasse 10, 68163 Mannheim, Germany
| | - Cynthia A Parrish
- Medicinal Chemistry, GlaxoSmithKline, 1250 S Collegeville Road, Collegeville, PA 19426, USA
| | - Julie A Krueger
- Immuno-Oncology and Combinations Research Unit, GlaxoSmithKline, 1250 S Collegeville Road, Collegeville, PA 19426, USA
| | - Catherine A Oleykowski
- Immuno-Oncology and Combinations Research Unit, GlaxoSmithKline, 1250 S Collegeville Road, Collegeville, PA 19426, USA
| | - Alan R Rendina
- Screening, Profiling and Mechanistic Biology, GlaxoSmithKline, 1250 S Collegeville Road, Collegeville, PA 19426, USA
| | - Carsten Hopf
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim Technical University, Paul-Wittsack-Strasse 10, 68163 Mannheim, Germany.
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