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Zhu E, Xie Q, Huang X, Zhang Z. Application of spatial omics in gastric cancer. Pathol Res Pract 2024; 262:155503. [PMID: 39128411 DOI: 10.1016/j.prp.2024.155503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 07/25/2024] [Accepted: 07/27/2024] [Indexed: 08/13/2024]
Abstract
Gastric cancer (GC), a globally prevalent and lethal malignancy, continues to be a key research focus. However, due to its considerable heterogeneity and complex pathogenesis, the treatment and diagnosis of gastric cancer still face significant challenges. With the rapid development of spatial omics technology, which provides insights into the spatial information within tumor tissues, it has emerged as a significant tool in gastric cancer research. This technology affords new insights into the pathology and molecular biology of gastric cancer for scientists. This review discusses recent advances in spatial omics technology for gastric cancer research, highlighting its applications in the tumor microenvironment (TME), tumor heterogeneity, tumor genesis and development mechanisms, and the identification of potential biomarkers and therapeutic targets. Moreover, this article highlights spatial omics' potential in precision medicine and summarizes existing challenges and future directions. It anticipates spatial omics' continuing impact on gastric cancer research, aiming to improve diagnostic and therapeutic approaches for patients. With this review, we aim to offer a comprehensive overview to scientists and clinicians in gastric cancer research, motivating further exploration and utilization of spatial omics technology. Our goal is to improve patient outcomes, including survival rates and quality of life.
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Affiliation(s)
- Erran Zhu
- Department of Clinical Medicine, Grade 20, Hengyang Medical College, University of South China, Hengyang, Hunan, 421001, China
| | - Qi Xie
- Department of Clinical Medicine, Grade 20, Hengyang Medical College, University of South China, Hengyang, Hunan, 421001, China
| | - Xinqi Huang
- Excellent Class, Clinical Medicine, Grade 20, Hengyang Medical College, University of South China, Hengyang, Hunan, 421001, China
| | - Zhiwei Zhang
- Cancer Research Institute of Hengyang Medical College, University of South China; Key Laboratory of Cancer Cellular and Molecular Pathology of Hunan; Department of Pathology, Department of Pathology of Hengyang Medical College, University of South China; The First Affiliated Hospital of University of South China, China.
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2
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Miller JL, Reddy A, Harman RM, Van de Walle GR. A xenotransplantation mouse model to study physiology of the mammary gland from large mammals. PLoS One 2024; 19:e0298390. [PMID: 38416747 PMCID: PMC10901318 DOI: 10.1371/journal.pone.0298390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/23/2024] [Indexed: 03/01/2024] Open
Abstract
Although highly conserved in structure and function, many (patho)physiological processes of the mammary gland vary drastically between mammals, with mechanisms regulating these differences not well understood. Large mammals display variable lactation strategies and mammary cancer incidence, however, research into these variations is often limited to in vitro analysis due to logistical limitations. Validating a model with functional mammary xenografts from cryopreserved tissue fragments would allow for in vivo comparative analysis of mammary glands from large and/or rare mammals and would improve our understanding of postnatal development, lactation, and premalignancy across mammals. To this end, we generated functional mammary xenografts using mammary tissue fragments containing mammary stroma and parenchyma isolated via an antibody-independent approach from healthy, nulliparous equine and canine donor tissues to study these species in vivo. Cryopreserved mammary tissue fragments were xenotransplanted into de-epithelialized fat pads of immunodeficient mice and resulting xenografts were structurally and functionally assessed. Preimplantation of mammary stromal fibroblasts was performed to promote ductal morphogenesis. Xenografts recapitulated mammary lobule architecture and contained donor-derived stromal components. Mammatropic hormone stimulation resulted in (i) upregulation of lactation-associated genes, (ii) altered proliferation index, and (iii) morphological changes, indicating functionality. Preimplantation of mammary stromal fibroblasts did not promote ductal morphogenesis. This model presents the opportunity to study novel mechanisms regulating unique lactation strategies and mammary cancer induction in vivo. Due to the universal applicability of this approach, this model serves as proof-of-concept for developing mammary xenografts for in vivo analysis of virtually any mammals, including large and rare mammals.
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Affiliation(s)
- James L Miller
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
| | - Alexandra Reddy
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
| | - Rebecca M Harman
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
| | - Gerlinde R Van de Walle
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
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Yang E, Shen XE, West‐Foyle H, Hahm T, Siegler MA, Brown DR, Johnson CC, Kim JH, Roker LA, Tressler CM, Barman I, Kuo SC, Glunde K. FluoMALDI Microscopy: Matrix Co-Crystallization Simultaneously Enhances Fluorescence and MALDI Imaging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2304343. [PMID: 37908150 PMCID: PMC10724403 DOI: 10.1002/advs.202304343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/15/2023] [Indexed: 11/02/2023]
Abstract
Here, the authors report that co-crystallization of fluorophores with matrix-assisted laser desorption/ionization (MALDI) imaging matrices significantly enhances fluorophore brightness up to 79-fold, enabling the amplification of innate tissue autofluorescence. This discovery facilitates FluoMALDI, the imaging of the same biological sample by both fluorescence microscopy and MALDI imaging. The approach combines the high spatial resolution and specific labeling capabilities of fluorescence microscopy with the inherently multiplexed, versatile imaging capabilities of MALDI imaging. This new paradigm simplifies registration by avoiding physical changes between fluorescence and MALDI imaging, allowing to image the exact same cells in tissues with both modalities. Matrix-fluorophore co-crystallization also facilitates applications with insufficient fluorescence brightness. The authors demonstrate feasibility of FluoMALDI imaging with endogenous and exogenous fluorophores and autofluorescence-based FluoMALDI of brain and kidney tissue sections. FluoMALDI will advance structural-functional microscopic imaging in cell biology, biomedicine, and pathology.
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Affiliation(s)
- Ethan Yang
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Xinyi Elaine Shen
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Hoku West‐Foyle
- Microscope FacilityJohns Hopkins University School of MedicineBaltimoreMD21205USA
- Department of Cell BiologyJohns Hopkins University School of MedicineBaltimoreMD21205USA
| | - Tae‐Hun Hahm
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | | | - Dalton R. Brown
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Cole C. Johnson
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Jeong Hee Kim
- Department of Mechanical EngineeringJohns Hopkins UniversityBaltimoreMD21218USA
| | - LaToya Ann Roker
- Microscope FacilityJohns Hopkins University School of MedicineBaltimoreMD21205USA
- Department of Cell BiologyJohns Hopkins University School of MedicineBaltimoreMD21205USA
| | - Caitlin M. Tressler
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Ishan Barman
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Department of Mechanical EngineeringJohns Hopkins UniversityBaltimoreMD21218USA
- Sidney Kimmel Comprehensive Cancer CancerJohns Hopkins University School of MedicineBaltimoreMD21231USA
| | - Scot C. Kuo
- Microscope FacilityJohns Hopkins University School of MedicineBaltimoreMD21205USA
- Department of Cell BiologyJohns Hopkins University School of MedicineBaltimoreMD21205USA
- Department of Biomedical EngineeringJohns Hopkins University School of MedicineBaltimoreMD21218USA
| | - Kristine Glunde
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Sidney Kimmel Comprehensive Cancer CancerJohns Hopkins University School of MedicineBaltimoreMD21231USA
- Department of Biological ChemistryJohns Hopkins University School of MedicineBaltimoreMD21205USA
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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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Chen Y, Liu Y, Li X, He Y, Li W, Peng Y, Zheng J. Recent Advances in Mass Spectrometry-Based Spatially Resolved Molecular Imaging of Drug Disposition and Metabolomics. Drug Metab Dispos 2023; 51:1273-1283. [PMID: 37295949 DOI: 10.1124/dmd.122.001069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 05/04/2023] [Accepted: 05/17/2023] [Indexed: 06/12/2023] Open
Abstract
Mass spectrometric imaging is a nontargeted, tag-free, high-throughput, and highly responsive analytical approach. The highly accurate molecular visualization detection technology enables qualitative and quantitative analyses of biologic tissues or cells scanned by mass spectrometry in situ, extracting known and unknown multiple compounds, and simultaneously assessing relative contents of targeting molecules by monitoring their molecular ions and pinpointing the spatial locations of those molecules distributed. Five mass spectrometric imaging techniques and their characteristics are introduced in the review, including matrix-assisted laser desorption ionization mass spectrometry, secondary ion mass spectrometry, desorption electrospray ionization mass spectrometry, laser ablation electrospray ionization mass spectrometry, and laser ablation inductively coupled plasma mass spectrometry. The mass spectrometry-based techniques provide the possibility for spatial metabolomics with the capability of high throughput and precision detection. The approaches have been widely employed to spatially image not only metabolome of endogenous amino acids, peptides, proteins, neurotransmitters, and lipids but also the disposition of exogenous chemicals, such as pharmaceutical agents, environmental pollutants, toxicants, natural products, and heavy metals. The techniques also provide us with spatial distribution imaging of analytes in single cells, tissue microregions, organs, and whole animals. SIGNIFICANCE STATEMENT: The review article includes an overview of five commonly used mass spectrometers for spatial imaging and describes the advantages and disadvantages of each. Examples of the technology applications cover drug disposition, diseases, and omics. Technical aspects of relative and absolute quantification by mass spectrometric imaging and challenges for future new applications are discussed as well. The reviewed knowledge may benefit the development of new drugs and provide a better understanding of biochemical processes related to physiology and diseases.
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Affiliation(s)
- Yu Chen
- State Key Laboratory of Functions and Applications of Medicinal Plants, Key Laboratory of Pharmaceutics of Guizhou Province, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); School of Basic Medicine, School of Pharmacy, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); Division of Pain Management, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C.); and Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, Liaoning, P.R. China (Y.P., J.Z.)
| | - Ying Liu
- State Key Laboratory of Functions and Applications of Medicinal Plants, Key Laboratory of Pharmaceutics of Guizhou Province, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); School of Basic Medicine, School of Pharmacy, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); Division of Pain Management, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C.); and Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, Liaoning, P.R. China (Y.P., J.Z.)
| | - Ximei Li
- State Key Laboratory of Functions and Applications of Medicinal Plants, Key Laboratory of Pharmaceutics of Guizhou Province, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); School of Basic Medicine, School of Pharmacy, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); Division of Pain Management, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C.); and Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, Liaoning, P.R. China (Y.P., J.Z.)
| | - Yan He
- State Key Laboratory of Functions and Applications of Medicinal Plants, Key Laboratory of Pharmaceutics of Guizhou Province, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); School of Basic Medicine, School of Pharmacy, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); Division of Pain Management, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C.); and Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, Liaoning, P.R. China (Y.P., J.Z.)
| | - Weiwei Li
- State Key Laboratory of Functions and Applications of Medicinal Plants, Key Laboratory of Pharmaceutics of Guizhou Province, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); School of Basic Medicine, School of Pharmacy, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); Division of Pain Management, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C.); and Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, Liaoning, P.R. China (Y.P., J.Z.)
| | - Ying Peng
- State Key Laboratory of Functions and Applications of Medicinal Plants, Key Laboratory of Pharmaceutics of Guizhou Province, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); School of Basic Medicine, School of Pharmacy, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); Division of Pain Management, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C.); and Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, Liaoning, P.R. China (Y.P., J.Z.)
| | - Jiang Zheng
- State Key Laboratory of Functions and Applications of Medicinal Plants, Key Laboratory of Pharmaceutics of Guizhou Province, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); School of Basic Medicine, School of Pharmacy, Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C., Y.L., X.L., Y.H., W.L.); Division of Pain Management, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, P.R. China (Y.C.); and Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, Liaoning, P.R. China (Y.P., J.Z.)
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6
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Ushakov DS, Finke S. Tissue optical clearing and 3D imaging of virus infections. Adv Virus Res 2023; 116:89-121. [PMID: 37524483 DOI: 10.1016/bs.aivir.2023.06.003] [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: 08/02/2023]
Abstract
Imaging pathogens within 3D environment of biological tissues provides spatial information about their localization and interactions with the host. Technological advances in fluorescence microscopy and 3D image analysis now permit visualization and quantification of pathogens directly in large tissue volumes and in great detail. In recent years large volume imaging became an important tool in virology research helping to understand the properties of viruses and the host response to infection. In this chapter we give a review of fluorescence microscopy modalities and tissue optical clearing methods used for large volume tissue imaging. A summary of recent applications for virus research is provided with particular emphasis on studies using light sheet fluorescence microscopy. We describe the challenges and approaches for volumetric image analysis. Practical examples of volumetric imaging implemented in virology laboratories and addressing specialized research questions, such as virus tropism and immune host response are described. We conclude with an overview of the emerging technologies and their potential for virus research.
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Affiliation(s)
- Dmitry S Ushakov
- Institute for Molecular Virology and Cell Biology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany.
| | - Stefan Finke
- Institute for Molecular Virology and Cell Biology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
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Qin L, Han J, Wang C, Xu B, Tan D, He S, Guo L, Bo X, Xie J. Key defatting tissue pretreatment protocol for enhanced MALDI MS Imaging of peptide biomarkers visualization in the castor beans and their attribution applications. FRONTIERS IN PLANT SCIENCE 2022; 13:1083901. [PMID: 36589060 PMCID: PMC9800866 DOI: 10.3389/fpls.2022.1083901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
INTRODUCTION Castor bean or ricin-induced intoxication or terror events have threatened public security and social safety. Potential resources or materials include beans, raw extraction products, crude toxins, and purified ricin. The traceability of the origins of castor beans is thus essential for forensic and anti-terror investigations. As a new imaging technique with label-free, rapid, and high throughput features, matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) has been gradually stressed in plant research. However, sample preparation approaches for plant tissues still face severe challenges, especially for some lipid-rich, water-rich, or fragile tissues. Proper tissue washing procedures would be pivotal, but little information is known until now. METHODS For castor beans containing plenty of lipids that were fragile when handled, we developed a comprehensive tissue pretreatment protocol. Eight washing procedures aimed at removing lipids were discussed in detail. We then constructed a robust MALDI-MSI method to enhance the detection sensitivity of RCBs in castor beans. RESULTS AND DISCUSSION A modified six-step washing procedure was chosen as the most critical parameter regarding the MSI visualization of peptides. The method was further applied to visualize and quantify the defense peptides, Ricinus communis biomarkers (RCBs) in castor bean tissue sections from nine different geographic sources from China, Pakistan, and Ethiopia. Multivariate statistical models, including deep learning network, revealed a valuable classification clue concerning nationality and altitude.
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Affiliation(s)
- Luyuan Qin
- State Key Laboratory of Toxicology and Medical Countermeasures, Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Beijing, China
| | - Junshan Han
- Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing, China
| | - Chuang Wang
- State Key Laboratory of Toxicology and Medical Countermeasures, Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Beijing, China
- Ministry of Education Key Laboratory of Ethnic Medicine, College of Pharmacy, Minzu University of China, Beijing, China
| | - Bin Xu
- State Key Laboratory of Toxicology and Medical Countermeasures, Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Beijing, China
| | - Deyun Tan
- Institute of Cash Crop Research, Zibo Academy of Agricultural Sciences, Zibo, China
| | - Song He
- Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing, China
| | - Lei Guo
- State Key Laboratory of Toxicology and Medical Countermeasures, Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Beijing, China
| | - Xiaochen Bo
- Department of Bioinformatics, Institute of Health Service and Transfusion Medicine, Beijing, China
| | - Jianwei Xie
- State Key Laboratory of Toxicology and Medical Countermeasures, Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Beijing, China
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Lukowski JK, Olson H, Velickovic M, Wang J, Kyle JE, Kim YM, Williams SM, Zhu Y, Huyck HL, McGraw MD, Poole C, Rogers L, Misra R, Alexandrov T, Ansong C, Pryhuber GS, Clair G, Adkins JN, Carson JP, Anderton CR. An optimized approach and inflation media for obtaining complimentary mass spectrometry-based omics data from human lung tissue. Front Mol Biosci 2022; 9:1022775. [PMID: 36465564 PMCID: PMC9709465 DOI: 10.3389/fmolb.2022.1022775] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/02/2022] [Indexed: 04/23/2024] Open
Abstract
Human disease states are biomolecularly multifaceted and can span across phenotypic states, therefore it is important to understand diseases on all levels, across cell types, and within and across microanatomical tissue compartments. To obtain an accurate and representative view of the molecular landscape within human lungs, this fragile tissue must be inflated and embedded to maintain spatial fidelity of the location of molecules and minimize molecular degradation for molecular imaging experiments. Here, we evaluated agarose inflation and carboxymethyl cellulose embedding media and determined effective tissue preparation protocols for performing bulk and spatial mass spectrometry-based omics measurements. Mass spectrometry imaging methods were optimized to boost the number of annotatable molecules in agarose inflated lung samples. This optimized protocol permitted the observation of unique lipid distributions within several airway regions in the lung tissue block. Laser capture microdissection of these airway regions followed by high-resolution proteomic analysis allowed us to begin linking the lipidome with the proteome in a spatially resolved manner, where we observed proteins with high abundance specifically localized to the airway regions. We also compared our mass spectrometry results to lung tissue samples preserved using two other inflation/embedding media, but we identified several pitfalls with the sample preparation steps using this preservation method. Overall, we demonstrated the versatility of the inflation method, and we can start to reveal how the metabolome, lipidome, and proteome are connected spatially in human lungs and across disease states through a variety of different experiments.
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Affiliation(s)
| | - Heather Olson
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Marija Velickovic
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Juan Wang
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Jennifer E. Kyle
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Young-Mo Kim
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Sarah M. Williams
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Ying Zhu
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Heidi L. Huyck
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Matthew D. McGraw
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Cory Poole
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Lisa Rogers
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Ravi Misra
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Theodore Alexandrov
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Charles Ansong
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Gloria S. Pryhuber
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Geremy Clair
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Joshua N. Adkins
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - James P. Carson
- Texas Advanced Computing Center (TACC), University of Texas at Austin, Austin, TX, United States
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9
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Battistella E, Quintana JF, McConnell G. Application of Light-Sheet Mesoscopy to Image Host-Pathogen Interactions in Intact Organs. Front Cell Infect Microbiol 2022; 12:903957. [PMID: 35774409 PMCID: PMC9237429 DOI: 10.3389/fcimb.2022.903957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 05/17/2022] [Indexed: 11/17/2022] Open
Abstract
Human African Trypanosomiasis (HAT) is a disease caused by the extracellular parasite Trypanosoma brucei that affects the central nervous system (CNS) during the chronic stage of the infection, inducing neuroinflammation, coma, and death if left untreated. However, little is known about the structural change happening in the brain as result of the infection. So far, infection-induced neuroinflammation has been observed with conventional methods, such as immunohistochemistry, electron microscopy, and 2-photon microscopy only in small portions of the brain, which may not be representative of the disease. In this paper, we have used a newly-developed light-sheet illuminator to image the level of neuroinflammation in chronically infected mice and compared it to naïve controls. This system was developed for imaging in combination with the Mesolens objective lens, providing fast sub-cellular resolution for tens of mm3-large imaging volumes. The mouse brain specimens were cleared using CUBIC+, followed by antibody staining to locate Glial Fibrillary Acid Protein (GFAP) expressing cells, primarily astrocytes and ependymocytes, used here as a proxy for cell reactivity and gliosis. The large capture volume allowed us to detect GFAP+ cells and spatially resolve the response to T. brucei infection. Based on morphometric analyses and spatial distribution of GFAP+ cells, our data demonstrates a significant increase in cell dendrite branching around the lateral ventricle, as well as dorsal and ventral third ventricles, that are negatively correlated with the branch extension in distal sites from the circumventricular spaces. To our knowledge, this is the first report highlighting the potential of light-sheet mesoscopy to characterise the inflammatory responses of the mouse brain to parasitic infection at the cellular level in intact cleared organs, opening new avenues for the development of new mesoscale imaging techniques for the study of host-pathogen interactions.
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Affiliation(s)
- Eliana Battistella
- Department of Physics, SUPA, University of Strathclyde, Glasgow, United Kingdom
| | - Juan F. Quintana
- Wellcome Centre for Integrative Parasitology (WCIP) University of Glasgow, Glasgow, United Kingdom
- Institute of Biodiversity, Animal Health, and Comparative Medicine (IBAHCM). University of Glasgow, Glasgow, United Kingdom
| | - Gail McConnell
- Department of Physics, SUPA, University of Strathclyde, Glasgow, United Kingdom
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10
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Dent A, Diamandis P. Integrating computational pathology and proteomics to address tumor heterogeneity. J Pathol 2022; 257:445-453. [DOI: 10.1002/path.5905] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 03/20/2022] [Accepted: 03/30/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Anglin Dent
- Department of Laboratory Medicine and Pathobiology University of Toronto Toronto Ontario M5S 1A8 Canada
- Princess Margaret Cancer Center University Health Network, Toronto, Ontario, 610 University Avenue, M5G 2C1 Canada
| | - Phedias Diamandis
- Department of Laboratory Medicine and Pathobiology University of Toronto Toronto Ontario M5S 1A8 Canada
- Princess Margaret Cancer Center University Health Network, Toronto, Ontario, 610 University Avenue, M5G 2C1 Canada
- Laboratory Medicine Program University Health Network, 200 Elizabeth Street, Toronto, ON Toronto Ontario M5G 2C4 Canada
- Department of Medical Biophysics University of Toronto Toronto Ontario M5S 1A8 Canada
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11
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Karayel-Basar M, Uras I, Kiris I, Sahin B, Akgun E, Baykal AT. Spatial proteomic alterations detected via MALDI-MS imaging implicate neuronal loss in a Huntington's disease mouse (YAC128) brain. Mol Omics 2022; 18:336-347. [PMID: 35129568 DOI: 10.1039/d1mo00440a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder that occurs with the increase of CAG trinucleotide repeats in the huntingtin gene. To understand the mechanisms of HD, powerful proteomics techniques, such as liquid chromatography-tandem mass spectrometry (LC-MS/MS) were employed. However, one major drawback of these methods is loss of the region-specific quantitative information of the proteins due to analysis of total tissue lysates. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a MS-based label-free technique that works directly on tissue sections and gathers m/z values with their respective regional information. In this study, we established a data processing protocol that includes several software programs and methods to determine spatial protein alterations between the brain samples of a 12 month-old YAC128 HD mouse model and their non-transgenic littermates. 22 differentially expressed proteins were revealed with their respective regional information, and possible relationships of several proteins were discussed. As a validation of the MALDI-MSI analysis, a differentially expressed protein (GFAP) was verified using immunohistochemical staining. Furthermore, since several proteins detected in this study have previously been associated with neuronal loss, neuronal loss in the cortical region was demonstrated using an anti-NeuN immunohistochemical staining method. In conclusion, the findings of this research have provided insights into the spatial proteomic changes between HD transgenic and non-transgenic littermates and therefore, we suggest that MALDI-MSI is a powerful technique to determine spatial proteomic alterations between biological samples, and the data processing that we present here can be employed as a complementary tool for the data analysis.
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Affiliation(s)
- Merve Karayel-Basar
- Department of Medical Biochemistry and Molecular Biology, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Irep Uras
- Department of Medical Biochemistry and Molecular Biology, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Irem Kiris
- Department of Medical Biochemistry and Molecular Biology, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Betul Sahin
- Acibadem Labmed Clinical Laboratories, R&D Center, Istanbul, Turkey
| | - Emel Akgun
- Department of Medical Biochemistry and Molecular Biology, Institute of Health Sciences, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Ahmet Tarik Baykal
- Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
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12
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Zhu X, Xu T, Peng C, Wu S. Advances in MALDI Mass Spectrometry Imaging Single Cell and Tissues. Front Chem 2022; 9:782432. [PMID: 35186891 PMCID: PMC8850921 DOI: 10.3389/fchem.2021.782432] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/17/2021] [Indexed: 12/26/2022] Open
Abstract
Compared with conventional optical microscopy techniques, mass spectrometry imaging (MSI) or imaging mass spectrometry (IMS) is a powerful, label-free analytical technique, which can sensitively and simultaneously detect, quantify, and map hundreds of biomolecules, such as peptides, proteins, lipid, and other organic compounds in cells and tissues. So far, although several soft ionization techniques, such as desorption electrospray ionization (DESI) and secondary ion mass spectrometry (SIMS) have been used for imaging biomolecules, matrix-assisted laser desorption/ionization (MALDI) is still the most widespread MSI scanning method. Here, we aim to provide a comprehensive review of MALDI-MSI with an emphasis on its advances of the instrumentation, methods, application, and future directions in single cell and biological tissues.
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Affiliation(s)
- Xiaoping Zhu
- Joint Research Centre for Engineering Biology, Zhejiang University-University of Edinburgh Institute, Zhejiang University, Haining, China
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Tianyi Xu
- Joint Research Centre for Engineering Biology, Zhejiang University-University of Edinburgh Institute, Zhejiang University, Haining, China
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Chen Peng
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Shihua Wu
- Joint Research Centre for Engineering Biology, Zhejiang University-University of Edinburgh Institute, Zhejiang University, Haining, China
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
- *Correspondence: Shihua Wu, ; Shihua Wu,
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13
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Koomen DC, May JC, McLean JA. Insights and prospects for ion mobility-mass spectrometry in clinical chemistry. Expert Rev Proteomics 2022; 19:17-31. [PMID: 34986717 PMCID: PMC8881341 DOI: 10.1080/14789450.2022.2026218] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 12/23/2021] [Indexed: 01/19/2023]
Abstract
INTRODUCTION Ion mobility-mass spectrometry is an emerging technology in the clinical setting for high throughput and high confidence molecular characterization from complex biological samples. Ion mobility spectrometry can provide isomer separations on the basis of molecular structure, the ability of which is increasing through technological developments that afford enhanced resolving power. Integrating multiple separation dimensions, such as liquid chromatography-ion mobility-mass spectrometry (LC-IM-MS) provide dramatic enhancements in the mitigation of molecular interferences for high accuracy clinical measurements. AREAS COVERED Multidimensional separations with LC-IM-MS provide better selectivity and sensitivity in molecular analysis. Mass spectrometry imaging of tissues to inform spatial molecular distribution is improved by complementary ion mobility analyses. Biomarker identification in surgical environments is enhanced by intraoperative biochemical analysis with mass spectrometry and holds promise for integration with ion mobility spectrometry. New prospects in high resolving power ion mobility are enhancing analysis capabilities, such as distinguishing isomeric compounds. EXPERT OPINION Ion mobility-mass spectrometry holds many prospects for the field of isomer identification, molecular imaging, and intraoperative tumor margin delineation in clinical settings. These advantages are afforded while maintaining fast analysis times and subsequently high throughput. High resolving power ion mobility will enhance these advantages further, in particular for analyses requiring high confidence isobaric selectivity and detection.
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Affiliation(s)
- David C Koomen
- Department of Chemistry, Center for Innovative Technology, Institute of Chemical Biology, Institute for Integrative Biosystems Research and Education, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - Jody C May
- Department of Chemistry, Center for Innovative Technology, Institute of Chemical Biology, Institute for Integrative Biosystems Research and Education, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - John A McLean
- Department of Chemistry, Center for Innovative Technology, Institute of Chemical Biology, Institute for Integrative Biosystems Research and Education, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
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14
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Theobalt N, Hofmann I, Fiedler S, Renner S, Dhom G, Feuchtinger A, Walch A, Hrabĕ de Angelis M, Wolf E, Wanke R, Blutke A. Unbiased analysis of obesity related, fat depot specific changes of adipocyte volumes and numbers using light sheet fluorescence microscopy. PLoS One 2021; 16:e0248594. [PMID: 33725017 PMCID: PMC7963095 DOI: 10.1371/journal.pone.0248594] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 03/01/2021] [Indexed: 12/26/2022] Open
Abstract
In translational obesity research, objective assessment of adipocyte sizes and numbers is essential to characterize histomorphological alterations linked to obesity, and to evaluate the efficacies of experimental medicinal or dietetic interventions. Design-based quantitative stereological techniques based on the analysis of 2D-histological sections provide unbiased estimates of relevant 3D-parameters of adipocyte morphology, but often involve complex and time-consuming tissue processing and analysis steps. Here we report the application of direct 3D light sheet fluorescence microscopy (LSFM) for effective and accurate analysis of adipocyte volumes and numbers in optically cleared adipose tissue samples from a porcine model of diet-induced obesity (DIO). Subcutaneous and visceral adipose tissue samples from DIO-minipigs and lean controls were systematically randomly sampled, optically cleared with 3DISCO (3-dimensional imaging of solvent cleared organs), stained with eosin, and subjected to LSFM for detection of adipocyte cell membrane autofluorescence. Individual adipocytes were unbiasedly sampled in digital 3D reconstructions of the adipose tissue samples, and their individual cell volumes were directly measured by automated digital image analysis. Adipocyte numbers and mean volumes obtained by LSFM analysis did not significantly differ from the corresponding values obtained by unbiased quantitative stereological analysis techniques performed on the same samples, thus proving the applicability of LSFM for efficient analysis of relevant morphological adipocyte parameters. The results of the present study demonstrate an adipose tissue depot specific plasticity of adipocyte growth responses to nutrient oversupply. This was characterized by an exclusively hypertrophic growth of visceral adipocytes, whereas adipocytes in subcutaneous fat tissue depots also displayed a marked (hyperplastic) increase in cell number. LSFM allows for accurate and efficient determination of relevant quantitative morphological adipocyte parameters. The applied stereological methods and LSFM protocols are described in detail and can serve as a guideline for unbiased quantitative morphological analyses of adipocytes in other studies and species.
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Affiliation(s)
- Natalie Theobalt
- Institute of Veterinary Pathology at the Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Isabel Hofmann
- Institute of Veterinary Pathology at the Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Sonja Fiedler
- Institute of Veterinary Pathology at the Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Simone Renner
- Gene Center and Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians-Universität München, Munich, Germany
- Department of Veterinary Sciences, Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität München, Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Georg Dhom
- Gene Center and Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians-Universität München, Munich, Germany
- Department of Veterinary Sciences, Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität München, Oberschleißheim, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Martin Hrabĕ de Angelis
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Experimental Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Eckhard Wolf
- Gene Center and Department of Veterinary Sciences, Chair for Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians-Universität München, Munich, Germany
- Department of Veterinary Sciences, Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität München, Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Rüdiger Wanke
- Institute of Veterinary Pathology at the Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Andreas Blutke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
- * E-mail:
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15
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Fiedler S, Wünnemann H, Hofmann I, Theobalt N, Feuchtinger A, Walch A, Schwaiger J, Wanke R, Blutke A. A practical guide to unbiased quantitative morphological analyses of the gills of rainbow trout (Oncorhynchus mykiss) in ecotoxicological studies. PLoS One 2020; 15:e0243462. [PMID: 33296424 PMCID: PMC7725368 DOI: 10.1371/journal.pone.0243462] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 11/21/2020] [Indexed: 12/28/2022] Open
Abstract
Rainbow trout (Oncorhynchus mykiss) are frequently used as experimental animals in ecotoxicological studies, in which they are experimentally exposed to defined concentrations of test substances, such as heavy metals, pesticides, or pharmaceuticals. Following exposure to a broad variety of aquatic pollutants, early morphologically detectable toxic effects often manifest in alterations of the gills. Suitable methods for an accurate and unbiased quantitative characterization of the type and the extent of morphological gill alterations are therefore essential prerequisites for recognition, objective evaluation and comparison of the severity of gill lesions. The aim of the present guidelines is to provide practicable, standardized and detailed protocols for the application of unbiased quantitative stereological analyses of relevant morphological parameters of the gills of rainbow trout. These gill parameters inter alia include the total volume of the primary and secondary gill lamellae, the surface area of the secondary gill lamellae epithelium (i.e., the respiratory surface) and the thickness of the diffusion barrier. The featured protocols are adapted to fish of frequently used body size classes (300-2000 g). They include well-established, conventional sampling methods, probes and test systems for unbiased quantitative stereological analyses of light- and electron microscopic 2-D gill sections, as well as the application of modern 3-D light sheet fluorescence microscopy (LSFM) of optically cleared gill samples as an innovative, fast and efficient quantitative morphological analysis approach. The methods shown here provide a basis for standardized and representative state-of-the-art quantitative morphological analyses of trout gills, ensuring the unbiasedness and reproducibility, as well as the intra- and inter-study comparability of analyses results. Their broad implementation will therefore significantly contribute to the reliable identification of no observed effect concentration (NOEC) limits in ecotoxicological studies and, moreover, to limit the number of experimental animals by reduction of unnecessary repetition of experiments.
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Affiliation(s)
- Sonja Fiedler
- Institute of Veterinary Pathology at the Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Hannah Wünnemann
- Unit 73 Aquatic Ecotoxicology, Microbial Ecology, Bavarian Environment Agency, Wielenbach, Germany
| | - Isabel Hofmann
- Institute of Veterinary Pathology at the Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Natalie Theobalt
- Institute of Veterinary Pathology at the Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Julia Schwaiger
- Unit 73 Aquatic Ecotoxicology, Microbial Ecology, Bavarian Environment Agency, Wielenbach, Germany
| | - Rüdiger Wanke
- Institute of Veterinary Pathology at the Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Andreas Blutke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
- * E-mail:
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