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Reddaway J, Richardson PE, Bevan RJ, Stoneman J, Palombo M. Microglial morphometric analysis: so many options, so little consistency. Front Neuroinform 2023; 17:1211188. [PMID: 37637472 PMCID: PMC10448193 DOI: 10.3389/fninf.2023.1211188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/05/2023] [Indexed: 08/29/2023] Open
Abstract
Quantification of microglial activation through morphometric analysis has long been a staple of the neuroimmunologist's toolkit. Microglial morphological phenomics can be conducted through either manual classification or constructing a digital skeleton and extracting morphometric data from it. Multiple open-access and paid software packages are available to generate these skeletons via semi-automated and/or fully automated methods with varying degrees of accuracy. Despite advancements in methods to generate morphometrics (quantitative measures of cellular morphology), there has been limited development of tools to analyze the datasets they generate, in particular those containing parameters from tens of thousands of cells analyzed by fully automated pipelines. In this review, we compare and critique the approaches using cluster analysis and machine learning driven predictive algorithms that have been developed to tackle these large datasets, and propose improvements for these methods. In particular, we highlight the need for a commitment to open science from groups developing these classifiers. Furthermore, we call attention to a need for communication between those with a strong software engineering/computer science background and neuroimmunologists to produce effective analytical tools with simplified operability if we are to see their wide-spread adoption by the glia biology community.
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Affiliation(s)
- Jack Reddaway
- Division of Neuroscience, School of Biosciences, Cardiff University, Cardiff, United Kingdom
- Hodge Centre for Neuropsychiatric Immunology, Neuroscience and Mental Health Innovation Institute (NMHII), Cardiff University, Cardiff, United Kingdom
| | | | - Ryan J. Bevan
- UK Dementia Research Institute, Cardiff University, Cardiff, United Kingdom
| | - Jessica Stoneman
- Division of Neuroscience, School of Biosciences, Cardiff University, Cardiff, United Kingdom
| | - Marco Palombo
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom
- School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom
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Frenkel N, Poghosyan S, van Wijnbergen JW, van den Bent L, Wiljer L, Verheem A, Borel Rinkes I, Kranenburg O, Hagendoorn J. Tissue clearing and immunostaining to visualize the spatial organization of vasculature and tumor cells in mouse liver. Front Oncol 2023; 13:1062926. [PMID: 37077833 PMCID: PMC10108913 DOI: 10.3389/fonc.2023.1062926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 03/06/2023] [Indexed: 03/30/2023] Open
Abstract
The liver has a complex and hierarchical segmental organization of arteries, portal veins, hepatic veins and lymphatic vessels. In-depth imaging of liver vasculature and malignancies could improve knowledge on tumor micro-environment, local tumor growth, invasion, as well as metastasis. Non-invasive imaging techniques such as computed tomography (CT), magnetic resonance imaging (MRI) and positron-emission transmission (PET) are routine for clinical imaging, but show inadequate resolution at cellular and subcellular level. In recent years, tissue clearing – a technique rendering tissues optically transparent allowing enhanced microscopy imaging – has made great advances. While mainly used in the neurobiology field, recently more studies have used clearing techniques for imaging other organ systems as well as tumor tissues. In this study, our aim was to develop a reproducible tissue clearing and immunostaining model for visualizing intrahepatic blood microvasculature and tumor cells in murine colorectal liver metastases. CLARITY and 3DISCO/iDISCO+ are two established clearing methods that have been shown to be compatible with immunolabelling, most often in neurobiology research. In this study, CLARITY unfortunately resulted in damaged tissue integrity of the murine liver lobes and no specific immunostaining. Using the 3DISCO/iDISCO+ method, liver samples were successfully rendered optically transparent. After which, successful immunostaining of the intrahepatic microvasculature using panendothelial cell antigen MECA-32 and colorectal cancer cells using epithelial cell adhesion molecule (EpCAM) was established. This approach for tumor micro-environment tissue clearing would be especially valuable for allowing visualization of spatial heterogeneity and complex interactions of tumor cells and their environment in future studies.
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Terstege DJ, Epp JR. Network Neuroscience Untethered: Brain-Wide Immediate Early Gene Expression for the Analysis of Functional Connectivity in Freely Behaving Animals. BIOLOGY 2022; 12:34. [PMID: 36671727 PMCID: PMC9855808 DOI: 10.3390/biology12010034] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/19/2022] [Accepted: 12/23/2022] [Indexed: 12/28/2022]
Abstract
Studying how spatially discrete neuroanatomical regions across the brain interact is critical to advancing our understanding of the brain. Traditional neuroimaging techniques have led to many important discoveries about the nature of these interactions, termed functional connectivity. However, in animal models these traditional neuroimaging techniques have generally been limited to anesthetized or head-fixed setups or examination of small subsets of neuroanatomical regions. Using the brain-wide expression density of immediate early genes (IEG), we can assess brain-wide functional connectivity underlying a wide variety of behavioural tasks in freely behaving animal models. Here, we provide an overview of the necessary steps required to perform IEG-based analyses of functional connectivity. We also outline important considerations when designing such experiments and demonstrate the implications of these considerations using an IEG-based network dataset generated for the purpose of this review.
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Affiliation(s)
| | - Jonathan R. Epp
- Department of Cell Biology and Anatomy, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
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Handschuh S, Glösmann M. Mouse embryo phenotyping using X-ray microCT. Front Cell Dev Biol 2022; 10:949184. [PMID: 36187491 PMCID: PMC9523164 DOI: 10.3389/fcell.2022.949184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 08/22/2022] [Indexed: 11/30/2022] Open
Abstract
Microscopic X-ray computed tomography (microCT) is a structural ex vivo imaging technique providing genuine isotropic 3D images from biological samples at micron resolution. MicroCT imaging is non-destructive and combines well with other modalities such as light and electron microscopy in correlative imaging workflows. Protocols for staining embryos with X-ray dense contrast agents enable the acquisition of high-contrast and high-resolution datasets of whole embryos and specific organ systems. High sample throughput is achieved with dedicated setups. Consequently, microCT has gained enormous importance for both qualitative and quantitative phenotyping of mouse development. We here summarize state-of-the-art protocols of sample preparation and imaging procedures, showcase contemporary applications, and discuss possible pitfalls and sources for artefacts. In addition, we give an outlook on phenotyping workflows using microscopic dual energy CT (microDECT) and tissue-specific contrast agents.
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Takahashi Y, Hayakawa A, Sano R, Fukuda H, Kubo R, Tokue H, Okawa T, Kawamura M, Kominato Y. Usefulness of a tissue optical clearing technique for forensic autopsy. J Forensic Sci 2022; 67:1124-1131. [PMID: 35088897 DOI: 10.1111/1556-4029.14995] [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: 11/04/2021] [Revised: 12/23/2021] [Accepted: 01/11/2022] [Indexed: 11/30/2022]
Abstract
Forensic pathologists are required to investigate lethal trauma or disease at autopsy. In addition to massive contusions of various organs, a number of small features with potentially fatal implications also need to be sought. Since such lesions may need microscopic examinations for detailed evaluation, it is important to select suitable anatomic locations for tissue sampling. For practical screening of small lesions, we have developed a tissue optical clearing (TOC) technique for forensic autopsy. The technique involves clearing with a non-toxic organic solvent, ethyl cinnamate, which renders excised organs transparent, while hemorrhages or blood-containing vessels remain opaque. Using this technique, tiny hemorrhages in the spinal cord were able to be identified by gross examination, allowing proper selection of locations for tissue sampling. Subsequent histopathological evaluation was successfully performed with no apparent artifacts related with the TOC procedure. In addition, a combination of TOC and targeted CT angiography allowed feasible examination of the arterial occlusive lesion in the superior mesenteric artery, and when combined with micro-CT scanning it was useful for evaluating the lumen of the coronary artery with stent implantation. The results obtained so far indicated that TOC could complement routine forensic autopsy procedures when detailed evaluation of small lesions is required.
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Affiliation(s)
- Yoichiro Takahashi
- Department of Legal Medicine, Gunma University, Graduate School of Medicine, Maebashi, Japan
| | - Akira Hayakawa
- Department of Legal Medicine, Gunma University, Graduate School of Medicine, Maebashi, Japan
| | - Rie Sano
- Department of Legal Medicine, Gunma University, Graduate School of Medicine, Maebashi, Japan
| | - Haruki Fukuda
- Department of Legal Medicine, Gunma University, Graduate School of Medicine, Maebashi, Japan
| | - Rieko Kubo
- Department of Legal Medicine, Gunma University, Graduate School of Medicine, Maebashi, Japan
| | - Hiroyuki Tokue
- Department of Diagnostic Radiology & Nuclear Medicine, Graduate School of Medicine, Gunma University, Maebashi, Japan
| | - Takafumi Okawa
- Department of Legal Medicine, Gunma University, Graduate School of Medicine, Maebashi, Japan
| | - Miki Kawamura
- Department of Legal Medicine, Gunma University, Graduate School of Medicine, Maebashi, Japan
| | - Yoshihiko Kominato
- Department of Legal Medicine, Gunma University, Graduate School of Medicine, Maebashi, Japan
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