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He C, Yuan Y, Gong C, Wang X, Lyu G. Applications of Tissue Clearing in Central and Peripheral Nerves. Neuroscience 2024; 546:104-117. [PMID: 38570062 DOI: 10.1016/j.neuroscience.2024.03.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 03/25/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024]
Abstract
The techniques of tissue clearing have been proposed and applied in anatomical and biomedical research since the 19th century. As we all know, the original study of the nervous system relied on serial ultrathin sections and stereoscopic techniques. The 3D visualization of the nervous system was established by software splicing and reconstruction. With the development of science and technology, microscope equipment had constantly been upgraded. Despite the great progress that has been made in this field, the workload is too complex, and it needs high technical requirements. Abundant mistakes due to manual sections were inescapable and structural integrity remained questionable. According to the classification of tissue transparency methods, we introduced the latest application of transparency methods in central and peripheral nerve research from optical imaging, molecular markers and data analysis. This review summarizes the application of transparent technology in neural pathways. We hope to provide some inspiration for the continuous optimization of tissue clearing methods.
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Affiliation(s)
- Cheng He
- Department of Anatomy, Medical School of Nantong University, Nantong, China
| | - Ye Yuan
- Department of Anatomy, Medical School of Nantong University, Nantong, China
| | - Chuanhui Gong
- Department of Anatomy, Medical School of Nantong University, Nantong, China
| | - Xueying Wang
- Medical School of Nantong University, Nantong, China
| | - Guangming Lyu
- Department of Anatomy, Medical School of Nantong University, Nantong, China; Department of Anatomy, Institute of Neurobiology, Jiangsu Key Laboratory of Neuroregeneration, Medical School of Nantong University, Nantong, China.
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2
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Yin Y, Koenitzer JR, Patra D, Dietmann S, Bayguinov P, Hagan AS, Ornitz DM. Identification of a myofibroblast differentiation program during neonatal lung development. Development 2024; 151:dev202659. [PMID: 38602479 DOI: 10.1242/dev.202659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 03/25/2024] [Indexed: 04/12/2024]
Abstract
Alveologenesis is the final stage of lung development in which the internal surface area of the lung is increased to facilitate efficient gas exchange in the mature organism. The first phase of alveologenesis involves the formation of septal ridges (secondary septae) and the second phase involves thinning of the alveolar septa. Within secondary septa, mesenchymal cells include a transient population of alveolar myofibroblasts (MyoFBs) and a stable but poorly described population of lipid-rich cells that have been referred to as lipofibroblasts or matrix fibroblasts (MatFBs). Using a unique Fgf18CreER lineage trace mouse line, cell sorting, single-cell RNA sequencing and primary cell culture, we have identified multiple subtypes of mesenchymal cells in the neonatal lung, including an immature progenitor cell that gives rise to mature MyoFB. We also show that the endogenous and targeted ROSA26 locus serves as a sensitive reporter for MyoFB maturation. These studies identify a MyoFB differentiation program that is distinct from other mesenchymal cell types and increases the known repertoire of mesenchymal cell types in the neonatal lung.
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Affiliation(s)
- Yongjun Yin
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jeffrey R Koenitzer
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Debabrata Patra
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Sabine Dietmann
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Peter Bayguinov
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Andrew S Hagan
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - David M Ornitz
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
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Smith M, Dodis GE, Vanderplow AM, Gonzalez S, Rhee Y, Gogliotti RG. Potentiation of the M 1 muscarinic acetylcholine receptor normalizes neuronal activation patterns and improves apnea severity in Mecp2+/- mice. bioRxiv 2024:2024.04.15.586099. [PMID: 38659804 PMCID: PMC11042204 DOI: 10.1101/2024.04.15.586099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Rett syndrome (RTT) is a neurodevelopmental disorder that is caused by loss-of-function mutations in the methyl-CpG binding protein 2 ( MeCP2 ) gene. RTT patients experience a myriad of debilitating symptoms, which include respiratory phenotypes that are often associated with lethality. Our previous work established that expression of the M 1 muscarinic acetylcholine receptor (mAchR) is decreased in RTT autopsy samples, and that potentiation of the M 1 receptor improves apneas in a mouse model of RTT; however, the population of neurons driving this rescue is unclear. Loss of Mecp2 correlates with excessive neuronal activity in cardiorespiratory nuclei. Since M 1 is found on cholinergic interneurons, we hypothesized that M 1 -potentiating compounds decrease apnea frequency by tempering brainstem hyperactivity. To test this, Mecp2 +/- and Mecp2 +/+ mice were screened for apneas before and after administration of the M 1 positive allosteric modulator (PAM) VU0453595 (VU595). Brains from the same mice were then imaged for c-Fos, ChAT, and Syto16 using whole-brain light-sheet microscopy to establish genotype and drug-dependent activation patterns that could be correlated with VU595's efficacy on apneas. The vehicle-treated Mecp2 +/- brain exhibited broad hyperactivity when coupled with the phenotypic prescreen, which was significantly decreased by administration of VU595, particularly in regions known to modulate the activity of respiratory nuclei (i.e. hippocampus and striatum). Further, the extent of apnea rescue in each mouse showed a significant positive correlation with c-Fos expression in non-cholinergic neurons in the striatum, thalamus, dentate gyrus, and within the cholinergic neurons of the brainstem. These results indicate that Mecp2 +/- mice are prone to hyperactivity in brain regions that regulate respiration, which can be normalized through M 1 potentiation.
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Bishop KW, Erion Barner LA, Han Q, Baraznenok E, Lan L, Poudel C, Gao G, Serafin RB, Chow SSL, Glaser AK, Janowczyk A, Brenes D, Huang H, Miyasato D, True LD, Kang S, Vaughan JC, Liu JTC. An end-to-end workflow for nondestructive 3D pathology. Nat Protoc 2024; 19:1122-1148. [PMID: 38263522 DOI: 10.1038/s41596-023-00934-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/23/2023] [Indexed: 01/25/2024]
Abstract
Recent advances in 3D pathology offer the ability to image orders of magnitude more tissue than conventional pathology methods while also providing a volumetric context that is not achievable with 2D tissue sections, and all without requiring destructive tissue sectioning. Generating high-quality 3D pathology datasets on a consistent basis, however, is not trivial and requires careful attention to a series of details during tissue preparation, imaging and initial data processing, as well as iterative optimization of the entire process. Here, we provide an end-to-end procedure covering all aspects of a 3D pathology workflow (using light-sheet microscopy as an illustrative imaging platform) with sufficient detail to perform well-controlled preclinical and clinical studies. Although 3D pathology is compatible with diverse staining protocols and computationally generated color palettes for visual analysis, this protocol focuses on the use of a fluorescent analog of hematoxylin and eosin, which remains the most common stain used for gold-standard pathological reports. We present our guidelines for a broad range of end users (e.g., biologists, clinical researchers and engineers) in a simple format. The end-to-end workflow requires 3-6 d to complete, bearing in mind that data analysis may take longer.
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Affiliation(s)
- Kevin W Bishop
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | | | - Qinghua Han
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Elena Baraznenok
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Lydia Lan
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
- Department of Biology, University of Washington, Seattle, WA, USA
| | - Chetan Poudel
- Department of Chemistry, University of Washington, Seattle, WA, USA
| | - Gan Gao
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Robert B Serafin
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Sarah S L Chow
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Adam K Glaser
- Allen Institute for Neural Dynamics, Seattle, WA, USA
| | - Andrew Janowczyk
- Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
- Department of Oncology, Division of Precision Oncology, University Hospital of Geneva, Geneva, Switzerland
- Department of Diagnostics, Division of Clinical Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - David Brenes
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Hongyi Huang
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Dominie Miyasato
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Lawrence D True
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Soyoung Kang
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA
| | - Joshua C Vaughan
- Department of Chemistry, University of Washington, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Jonathan T C Liu
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA.
- Department of Bioengineering, University of Washington, Seattle, WA, USA.
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
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Mai H, Luo J, Hoeher L, Al-Maskari R, Horvath I, Chen Y, Kofler F, Piraud M, Paetzold JC, Modamio J, Todorov M, Elsner M, Hellal F, Ertürk A. Whole-body cellular mapping in mouse using standard IgG antibodies. Nat Biotechnol 2024; 42:617-627. [PMID: 37430076 PMCID: PMC11021200 DOI: 10.1038/s41587-023-01846-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 05/26/2023] [Indexed: 07/12/2023]
Abstract
Whole-body imaging techniques play a vital role in exploring the interplay of physiological systems in maintaining health and driving disease. We introduce wildDISCO, a new approach for whole-body immunolabeling, optical clearing and imaging in mice, circumventing the need for transgenic reporter animals or nanobody labeling and so overcoming existing technical limitations. We identified heptakis(2,6-di-O-methyl)-β-cyclodextrin as a potent enhancer of cholesterol extraction and membrane permeabilization, enabling deep, homogeneous penetration of standard antibodies without aggregation. WildDISCO facilitates imaging of peripheral nervous systems, lymphatic vessels and immune cells in whole mice at cellular resolution by labeling diverse endogenous proteins. Additionally, we examined rare proliferating cells and the effects of biological perturbations, as demonstrated in germ-free mice. We applied wildDISCO to map tertiary lymphoid structures in the context of breast cancer, considering both primary tumor and metastases throughout the mouse body. An atlas of high-resolution images showcasing mouse nervous, lymphatic and vascular systems is accessible at http://discotechnologies.org/wildDISCO/atlas/index.php .
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Affiliation(s)
- Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Munich Medical Research School, Munich, Germany
- Deep Piction GmbH, Munich, Germany
| | - Jie Luo
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Deep Piction GmbH, Munich, Germany
| | - Luciano Hoeher
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
| | - Rami Al-Maskari
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Izabela Horvath
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Ying Chen
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Faculty of Medicine, Ludwig-Maximilians University of Munich, Munich, Germany
| | - Florian Kofler
- Helmholtz Al, Helmholtz Center Munich, Neuherberg, Germany
- Department of Informatics, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Marie Piraud
- Helmholtz Al, Helmholtz Center Munich, Neuherberg, Germany
| | - Johannes C Paetzold
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Department of Computing, Imperial College London, London, UK
| | - Jennifer Modamio
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
| | - Mihail Todorov
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Markus Elsner
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
| | - Farida Hellal
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany.
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany.
- Deep Piction GmbH, Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
- Graduate School of Neuroscience (GSN), Munich, Germany.
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Mansour H, Azrak R, Cook JJ, Hornburg KJ, Qi Y, Tian Y, Williams RW, Yeh FC, White LE, Johnson GA. An Open Resource: MR and light sheet microscopy stereotaxic atlas of the mouse brain. bioRxiv 2024:2024.03.28.587246. [PMID: 38586051 PMCID: PMC10996689 DOI: 10.1101/2024.03.28.587246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
We have combined MR histology and light sheet microscopy (LSM) of five postmortem C57BL/6J mouse brains in a stereotaxic space based on micro-CT yielding a multimodal 3D atlas with the highest spatial and contrast resolution yet reported. Brains were imaged in situ with multi gradient echo (mGRE) and diffusion tensor imaging (DTI) at 15 μm resolution (∼ 2.4 million times that of clinical MRI). Scalar images derived from the average DTI and mGRE provide unprecedented contrast in 14 complementary 3D volumes, each highlighting distinct histologic features. The same tissues scanned with LSM and registered into the stereotaxic space provide 17 different molecular cell type stains. The common coordinate framework labels (CCFv3) complete the multimodal atlas. The atlas has been used to correct distortions in the Allen Brain Atlas and harmonize it with Franklin Paxinos. It provides a unique resource for stereotaxic labeling of mouse brain images from many sources.
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Chen H, Bleimeister IH, Nguyen EK, Li J, Cui AY, Stratton HJ, Smith KM, Baccei ML, Ross SE. The functional and anatomical characterization of three spinal output pathways of the anterolateral tract. Cell Rep 2024; 43:113829. [PMID: 38421871 PMCID: PMC11025583 DOI: 10.1016/j.celrep.2024.113829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 10/24/2023] [Accepted: 02/03/2024] [Indexed: 03/02/2024] Open
Abstract
The nature of spinal output pathways that convey nociceptive information to the brain has been the subject of controversy. Here, we provide anatomical, molecular, and functional characterizations of two distinct anterolateral pathways: one, ascending in the lateral spinal cord, triggers nociceptive behaviors, and the other one, ascending in the ventral spinal cord, when inhibited, leads to sensorimotor deficits. Moreover, the lateral pathway consists of at least two subtypes. The first is a contralateral pathway that extends to the periaqueductal gray (PAG) and thalamus; the second is a bilateral pathway that projects to the bilateral parabrachial nucleus (PBN). Finally, we present evidence showing that activation of the contralateral pathway is sufficient for defensive behaviors such as running and freezing, whereas the bilateral pathway is sufficient for attending behaviors such as licking and guarding. This work offers insight into the complex organizational logic of the anterolateral system in the mouse.
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Affiliation(s)
- Haichao Chen
- Tsinghua Medicine, Tsinghua University, Beijing 100084, China; Pittsburgh Center for Pain Research, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Isabel H Bleimeister
- Pittsburgh Center for Pain Research, University of Pittsburgh, Pittsburgh, PA 15213, USA; Medical Scientist Training Program, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Eileen K Nguyen
- Pittsburgh Center for Pain Research, University of Pittsburgh, Pittsburgh, PA 15213, USA; Medical Scientist Training Program, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Jie Li
- Department of Anesthesiology, Pain Research Center, University of Cincinnati Medical Center, Cincinnati, OH 45267, USA
| | - Abby Yilin Cui
- Pittsburgh Center for Pain Research, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Harrison J Stratton
- Pittsburgh Center for Pain Research, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Kelly M Smith
- Pittsburgh Center for Pain Research, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Mark L Baccei
- Department of Anesthesiology, Pain Research Center, University of Cincinnati Medical Center, Cincinnati, OH 45267, USA
| | - Sarah E Ross
- Pittsburgh Center for Pain Research, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Anesthesiology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
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Jiang L, Roberts R, Wong M, Zhang L, Webber CJ, Libera J, Wang Z, Kilci A, Jenkins M, Ortiz AR, Dorrian L, Sun J, Sun G, Rashad S, Kornbrek C, Daley SA, Dedon PC, Nguyen B, Xia W, Saito T, Saido TC, Wolozin B. β-amyloid accumulation enhances microtubule associated protein tau pathology in an APP NL-G-F/MAPT P301S mouse model of Alzheimer's disease. Front Neurosci 2024; 18:1372297. [PMID: 38572146 PMCID: PMC10987964 DOI: 10.3389/fnins.2024.1372297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/01/2024] [Indexed: 04/05/2024] Open
Abstract
Introduction The study of the pathophysiology study of Alzheimer's disease (AD) has been hampered by lack animal models that recapitulate the major AD pathologies, including extracellular -amyloid (A) deposition, intracellular aggregation of microtubule associated protein tau (MAPT), inflammation and neurodegeneration. Methods The humanized APPNL-G-F knock-in mouse line was crossed to the PS19 MAPTP301S, over-expression mouse line to create the dual APPNL-G-F/PS19 MAPTP301S line. The resulting pathologies were characterized by immunochemical methods and PCR. Results We now report on a double transgenic APPNL-G-F/PS19 MAPTP301S mouse that at 6 months of age exhibits robust A plaque accumulation, intense MAPT pathology, strong inflammation and extensive neurodegeneration. The presence of A pathology potentiated the other major pathologies, including MAPT pathology, inflammation and neurodegeneration. MAPT pathology neither changed levels of amyloid precursor protein nor potentiated A accumulation. Interestingly, study of immunofluorescence in cleared brains indicates that microglial inflammation was generally stronger in the hippocampus, dentate gyrus and entorhinal cortex, which are regions with predominant MAPT pathology. The APPNL-G-F/MAPTP301S mouse model also showed strong accumulation of N6-methyladenosine (m6A), which was recently shown to be elevated in the AD brain. m6A primarily accumulated in neuronal soma, but also co-localized with a subset of astrocytes and microglia. The accumulation of m6A corresponded with increases in METTL3 and decreases in ALKBH5, which are enzymes that add or remove m6A from mRNA, respectively. Discussion Our understanding of the pathophysiology of Alzheimer's disease (AD) has been hampered by lack animal models that recapitulate the major AD pathologies, including extracellular -amyloid (A) deposition, intracellular aggregation of microtubule associated protein tau (MAPT), inflammation and neurodegeneration. The APPNL-G-F/MAPTP301S mouse recapitulates many features of AD pathology beginning at 6 months of aging, and thus represents a useful new mouse model for the field.
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Affiliation(s)
- Lulu Jiang
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
- Department of Neuroscience, Center for Brain Immunology and Glia (BIG), School of Medicine, University of Virginia, Charlottesville, VA, United States
| | - Rebecca Roberts
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
| | - Melissa Wong
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
| | - Lushuang Zhang
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
| | - Chelsea Joy Webber
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
- Department of Pharmacology, Physiology and Biophysics, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
| | - Jenna Libera
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
| | - Zihan Wang
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
| | - Alper Kilci
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
| | - Matthew Jenkins
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
| | - Alejandro Rondón Ortiz
- Department of Pharmacology, Physiology and Biophysics, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
| | - Luke Dorrian
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
| | - Jingjing Sun
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
- Singapore-MIT Alliance for Research and Technology, Antimicrobial Resistance IRG, Campus for Research Excellence and Technological Enterprise, Singapore, Singapore
| | - Guangxin Sun
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Sherif Rashad
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
- Department of Neurosurgical Engineering and Translational Neuroscience, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | | | - Sarah Anne Daley
- Department of Pharmacology, Physiology and Biophysics, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
- Geriatric Research Education and Clinical Center, Bedford VA Healthcare System, Bedford, MA, United States
| | - Peter C. Dedon
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
- Singapore-MIT Alliance for Research and Technology, Antimicrobial Resistance IRG, Campus for Research Excellence and Technological Enterprise, Singapore, Singapore
| | - Brian Nguyen
- LifeCanvas Technologies, Cambridge, MA, United States
| | - Weiming Xia
- Department of Pharmacology, Physiology and Biophysics, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
- Geriatric Research Education and Clinical Center, Bedford VA Healthcare System, Bedford, MA, United States
| | - Takashi Saito
- Department of Neurocognitive Science, Institute of Brain Science, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Takaomi C. Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Saitama, Japan
| | - Benjamin Wolozin
- Department of Anatomy and Neurobiology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
- Department of Pharmacology, Physiology and Biophysics, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
- Department of Neurology, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, United States
- Center for Systems Neuroscience, Boston University, Boston, MA, United States
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9
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Yang D, Wang Y, Qi T, Zhang X, Shen L, Ma J, Pang Z, Lal NK, McClatchy DB, Seradj SH, Leung VH, Wang K, Xie Y, Polli FS, Maximov A, Gonzalez OC, de Lecea L, Cline HT, Augustine V, Yates JR, Ye L. Phosphorylation of pyruvate dehydrogenase inversely associates with neuronal activity. Neuron 2024; 112:959-971.e8. [PMID: 38266644 PMCID: PMC11021214 DOI: 10.1016/j.neuron.2023.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 08/24/2023] [Accepted: 12/21/2023] [Indexed: 01/26/2024]
Abstract
For decades, the expression of immediate early genes (IEGs) such as FOS has been the most widely used molecular marker representing neuronal activation. However, to date, there is no equivalent surrogate available for the decrease of neuronal activity. Here, we developed an optogenetic-based biochemical screen in which population neural activities can be controlled by light with single action potential precision, followed by unbiased phosphoproteomic profiling. We identified that the phosphorylation of pyruvate dehydrogenase (pPDH) inversely correlated with the intensity of action potential firing in primary neurons. In in vivo mouse models, monoclonal antibody-based pPDH immunostaining detected activity decreases across the brain, which were induced by a wide range of factors including general anesthesia, chemogenetic inhibition, sensory experiences, and natural behaviors. Thus, as an inverse activity marker (IAM) in vivo, pPDH can be used together with IEGs or other cell-type markers to profile and identify bi-directional neural dynamics induced by experiences or behaviors.
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Affiliation(s)
- Dong Yang
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Yu Wang
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Tianbo Qi
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Xi Zhang
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Leyao Shen
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jingrui Ma
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA; Department of Neurobiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Zhengyuan Pang
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Neeraj K Lal
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Daniel B McClatchy
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Saba Heydari Seradj
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Verina H Leung
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Kristina Wang
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Yi Xie
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Filip S Polli
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Anton Maximov
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | | | - Luis de Lecea
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Hollis T Cline
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Vineet Augustine
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA; Department of Neurobiology, University of California San Diego, La Jolla, CA 92093, USA
| | - John R Yates
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Li Ye
- Department of Neuroscience and Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA; Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA.
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10
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Geertsma HM, Fisk ZA, Sauline L, Prigent A, Kurgat K, Callaghan SM, Henderson MX, Rousseaux MWC. A topographical atlas of α-synuclein dosage and cell type-specific expression in adult mouse brain and peripheral organs. NPJ Parkinsons Dis 2024; 10:65. [PMID: 38504090 PMCID: PMC10951202 DOI: 10.1038/s41531-024-00672-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 02/26/2024] [Indexed: 03/21/2024] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease worldwide and presents pathologically with Lewy pathology and dopaminergic neurodegeneration. Lewy pathology contains aggregated α-synuclein (αSyn), a protein encoded by the SNCA gene which is also mutated or duplicated in a subset of familial PD cases. Due to its predominant presynaptic localization, immunostaining for the protein results in a diffuse reactivity pattern, providing little insight into the types of cells expressing αSyn. As a result, insight into αSyn expression-driven cellular vulnerability has been difficult to ascertain. Using a combination of knock-in mice that target αSyn to the nucleus (SncaNLS) and in situ hybridization of Snca in wild-type mice, we systematically mapped the topography and cell types expressing αSyn in the mouse brain, spinal cord, retina, and gut. We find a high degree of correlation between αSyn protein and RNA levels and further identify cell types with low and high αSyn content. We also find high αSyn expression in neurons, particularly those involved in PD, and to a lower extent in non-neuronal cell types, notably those of oligodendrocyte lineage, which are relevant to multiple system atrophy pathogenesis. Surprisingly, we also found that αSyn is relatively absent from select neuron types, e.g., ChAT-positive motor neurons, whereas enteric neurons universally express some degree of αSyn. Together, this integrated atlas provides insight into the cellular topography of αSyn, and provides a quantitative map to test hypotheses about the role of αSyn in network vulnerability, and thus serves investigations into PD pathogenesis and other α-synucleinopathies.
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Affiliation(s)
- Haley M Geertsma
- University of Ottawa Brain and Mind Research Institute, Ottawa, ON, K1H8M5, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, K1H8M5, Canada
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Zoe A Fisk
- University of Ottawa Brain and Mind Research Institute, Ottawa, ON, K1H8M5, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, K1H8M5, Canada
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Lillian Sauline
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Alice Prigent
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Kevin Kurgat
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Steve M Callaghan
- University of Ottawa Brain and Mind Research Institute, Ottawa, ON, K1H8M5, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, K1H8M5, Canada
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Michael X Henderson
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA.
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA.
| | - Maxime W C Rousseaux
- University of Ottawa Brain and Mind Research Institute, Ottawa, ON, K1H8M5, Canada.
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, K1H8M5, Canada.
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA.
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11
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Pesce L, Ricci P, Sportelli G, Belcari N, Sancataldo G. Expansion and Light-Sheet Microscopy for Nanoscale 3D Imaging. Small Methods 2024:e2301715. [PMID: 38461540 DOI: 10.1002/smtd.202301715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/10/2024] [Indexed: 03/12/2024]
Abstract
Expansion Microscopy (ExM) and Light-Sheet Fluorescence Microscopy (LSFM) are forefront imaging techniques that enable high-resolution visualization of biological specimens. ExM enhances nanoscale investigation using conventional fluorescence microscopes, while LSFM offers rapid, minimally invasive imaging over large volumes. This review explores the joint advancements of ExM and LSFM, focusing on the excellent performance of the integrated modality obtained from the combination of the two, which is refer to as ExLSFM. In doing so, the chemical processes required for ExM, the tailored optical setup of LSFM for examining expanded samples, and the adjustments in sample preparation for accurate data collection are emphasized. It is delve into various specimen types studied using this integrated method and assess its potential for future applications. The goal of this literature review is to enrich the comprehension of ExM and LSFM, encouraging their wider use and ongoing development, looking forward to the upcoming challenges, and anticipating innovations in these imaging techniques.
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Affiliation(s)
- Luca Pesce
- Department of Physics - Enrico Fermi, University of Pisa, Largo Pontecorvo, 3, Pisa, 56127, Italy
| | - Pietro Ricci
- Department of Applied Physics, University of Barcelona, C/Martí i Franquès, 1, Barcelona, 08028, Spain
| | - Giancarlo Sportelli
- Department of Physics - Enrico Fermi, University of Pisa, Largo Pontecorvo, 3, Pisa, 56127, Italy
| | - Nicola Belcari
- Department of Physics - Enrico Fermi, University of Pisa, Largo Pontecorvo, 3, Pisa, 56127, Italy
| | - Giuseppe Sancataldo
- Department of Physics - Emilio Segrè, University of Palermo, Viale delle Scienze, 18, Palermo, 90128, Italy
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12
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Park YG, Kwon YW, Koh CS, Kim E, Lee DH, Kim S, Mun J, Hong YM, Lee S, Kim JY, Lee JH, Jung HH, Cheon J, Chang JW, Park JU. In-vivo integration of soft neural probes through high-resolution printing of liquid electronics on the cranium. Nat Commun 2024; 15:1772. [PMID: 38413568 PMCID: PMC10899244 DOI: 10.1038/s41467-024-45768-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 02/01/2024] [Indexed: 02/29/2024] Open
Abstract
Current soft neural probes are still operated by bulky, rigid electronics mounted to a body, which deteriorate the integrity of the device to biological systems and restrict the free behavior of a subject. We report a soft, conformable neural interface system that can monitor the single-unit activities of neurons with long-term stability. The system implements soft neural probes in the brain, and their subsidiary electronics which are directly printed on the cranial surface. The high-resolution printing of liquid metals forms soft neural probes with a cellular-scale diameter and adaptable lengths. Also, the printing of liquid metal-based circuits and interconnections along the curvature of the cranium enables the conformal integration of electronics to the body, and the cranial circuit delivers neural signals to a smartphone wirelessly. In the in-vivo studies using mice, the system demonstrates long-term recording (33 weeks) of neural activities in arbitrary brain regions. In T-maze behavioral tests, the system shows the behavior-induced activation of neurons in multiple brain regions.
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Affiliation(s)
- Young-Geun Park
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Yong Won Kwon
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Chin Su Koh
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, 03722, South Korea
| | - Enji Kim
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Dong Ha Lee
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Sumin Kim
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Jongmin Mun
- Department of Statistics and Data Science, Yonsei University, Seoul, 03722, South Korea
| | - Yeon-Mi Hong
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Sanghoon Lee
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Ju-Young Kim
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, South Korea
| | - Jae-Hyun Lee
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, South Korea
| | - Hyun Ho Jung
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, 03722, South Korea.
| | - Jinwoo Cheon
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea.
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, South Korea.
- Department of Chemistry, Yonsei University, Seoul, 03722, South Korea.
| | - Jin Woo Chang
- Department of Neurosurgery, Korea University Anam Hospital, Seoul, 02841, South Korea.
| | - Jang-Ung Park
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea.
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea.
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, 03722, South Korea.
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, South Korea.
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13
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Mertens TF, Liebheit AT, Ehl J, Köhler R, Rakhymzhan A, Woehler A, Katthän L, Ebel G, Liublin W, Kasapi A, Triantafyllopoulou A, Schulz TJ, Niesner RA, Hauser AE. MarShie: a clearing protocol for 3D analysis of single cells throughout the bone marrow at subcellular resolution. Nat Commun 2024; 15:1764. [PMID: 38409121 PMCID: PMC10897183 DOI: 10.1038/s41467-024-45827-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 02/01/2024] [Indexed: 02/28/2024] Open
Abstract
Analyzing immune cell interactions in the bone marrow is vital for understanding hematopoiesis and bone homeostasis. Three-dimensional analysis of the complete, intact bone marrow within the cortex of whole long bones remains a challenge, especially at subcellular resolution. We present a method that stabilizes the marrow and provides subcellular resolution of fluorescent signals throughout the murine femur, enabling identification and spatial characterization of hematopoietic and stromal cell subsets. By combining a pre-processing algorithm for stripe artifact removal with a machine-learning approach, we demonstrate reliable cell segmentation down to the deepest bone marrow regions. This reveals age-related changes in the marrow. It highlights the interaction between CX3CR1+ cells and the vascular system in homeostasis, in contrast to other myeloid cell types, and reveals their spatial characteristics after injury. The broad applicability of this method will contribute to a better understanding of bone marrow biology.
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Affiliation(s)
- Till Fabian Mertens
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Alina Tabea Liebheit
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
- Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Johanna Ehl
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Ralf Köhler
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Asylkhan Rakhymzhan
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Andrew Woehler
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, 10115, Berlin, Germany
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, 20147, USA
| | - Lukas Katthän
- Miltenyi Biotec B.V. and Co. Bertha-von-Suttner-Straße 5, 37085, Göttingen, Germany
| | - Gernot Ebel
- Miltenyi Biotec B.V. and Co. Bertha-von-Suttner-Straße 5, 37085, Göttingen, Germany
| | - Wjatscheslaw Liublin
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Ana Kasapi
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Innate Immunity in Rheumatic Diseases, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Antigoni Triantafyllopoulou
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Innate Immunity in Rheumatic Diseases, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Tim Julius Schulz
- Department of Adipocyte Development and Nutrition, German Institute of Human Nutrition (DIfE) Potsdam-Rehbruecke, 14558, Nuthetal, Germany
- German Center for Diabetes Research (DZD), 85764, Munich-Neuherberg, Germany
| | - Raluca Aura Niesner
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
- Dynamic and Functional in vivo Imaging, Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Anja Erika Hauser
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany.
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany.
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14
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Valdes PA, Yu CC(J, Aronson J, Ghosh D, Zhao Y, An B, Bernstock JD, Bhere D, Felicella MM, Viapiano MS, Shah K, Chiocca EA, Boyden ES. Improved immunostaining of nanostructures and cells in human brain specimens through expansion-mediated protein decrowding. Sci Transl Med 2024; 16:eabo0049. [PMID: 38295184 PMCID: PMC10911838 DOI: 10.1126/scitranslmed.abo0049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 01/10/2024] [Indexed: 02/02/2024]
Abstract
Proteins are densely packed in cells and tissues, where they form complex nanostructures. Expansion microscopy (ExM) variants have been used to separate proteins from each other in preserved biospecimens, improving antibody access to epitopes. Here, we present an ExM variant, decrowding expansion pathology (dExPath), that can expand proteins away from each other in human brain pathology specimens, including formalin-fixed paraffin-embedded (FFPE) clinical specimens. Immunostaining of dExPath-expanded specimens reveals, with nanoscale precision, previously unobserved cellular structures, as well as more continuous patterns of staining. This enhanced molecular staining results in observation of previously invisible disease marker-positive cell populations in human glioma specimens, with potential implications for tumor aggressiveness. dExPath results in improved fluorescence signals even as it eliminates lipofuscin-associated autofluorescence. Thus, this form of expansion-mediated protein decrowding may, through improved epitope access for antibodies, render immunohistochemistry more powerful in clinical science and, perhaps, diagnosis.
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Affiliation(s)
- Pablo A. Valdes
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, 77555
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 02115
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
| | - Chih-Chieh (Jay) Yu
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
- Department of Biological Engineering, MIT, MA, USA, 02139
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA, 02139
- RIKEN Center for Brain Science, Saitama, Japan, 351-0198
| | - Jenna Aronson
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA, 02139
- RIKEN Center for Brain Science, Saitama, Japan, 351-0198
| | - Debarati Ghosh
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA, 02139
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA, 02139
| | - Yongxin Zhao
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA, 15213
| | - Bobae An
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA, 02139
| | - Joshua D. Bernstock
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 02115
- Koch Institute, MIT, Cambridge, MA, USA, 02139
| | - Deepak Bhere
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 02115
- Department of Pathology, Microbiology and Immunology, School of Medicine Columbia, University of South Carolina, Columbia, SC, USA, 29209
- Center for Stem Cell and Translational Immunotherapy, Harvard Medical School/Brigham and Women’s Hospital, Boston, MA, USA, 02115
| | - Michelle M. Felicella
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA, 77555
| | - Mariano S. Viapiano
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA, 13210
| | - Khalid Shah
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 02115
- Center for Stem Cell and Translational Immunotherapy, Harvard Medical School/Brigham and Women’s Hospital, Boston, MA, USA, 02115
| | - E. Antonio Chiocca
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 02115
| | - Edward S. Boyden
- Media Arts and Sciences, MIT, Cambridge, MA, USA, 02115
- Department of Biological Engineering, MIT, MA, USA, 02139
- McGovern Institute for Brain Research, MIT, Cambridge, MA, USA, 02139
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA, 02139
- Koch Institute, MIT, Cambridge, MA, USA, 02139
- MIT Center for Neurobiological Engineering and K. Lisa Yang Center for Bionics, MIT, Cambridge, MA, USA, 02139
- Howard Hughes Medical Institute, Cambridge, MA, USA, 02139
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15
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Dorst KE, Senne RA, Diep AH, de Boer AR, Suthard RL, Leblanc H, Ruesch EA, Pyo AY, Skelton S, Carstensen LC, Malmberg S, McKissick OP, Bladon JH, Ramirez S. Hippocampal Engrams Generate Variable Behavioral Responses and Brain-Wide Network States. J Neurosci 2024; 44:e0340232023. [PMID: 38050098 PMCID: PMC10860633 DOI: 10.1523/jneurosci.0340-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 10/31/2023] [Accepted: 11/13/2023] [Indexed: 12/06/2023] Open
Abstract
Freezing is a defensive behavior commonly examined during hippocampal-mediated fear engram reactivation. How these cellular populations engage the brain and modulate freezing across varying environmental demands is unclear. To address this, we optogenetically reactivated a fear engram in the dentate gyrus subregion of the hippocampus across three distinct contexts in male mice. We found that there were differential amounts of light-induced freezing depending on the size of the context in which reactivation occurred: mice demonstrated robust light-induced freezing in the most spatially restricted of the three contexts but not in the largest. We then utilized graph theoretical analyses to identify brain-wide alterations in cFos expression during engram reactivation across the smallest and largest contexts. Our manipulations induced positive interregional cFos correlations that were not observed in control conditions. Additionally, regions spanning putative "fear" and "defense" systems were recruited as hub regions in engram reactivation networks. Lastly, we compared the network generated from engram reactivation in the small context with a natural fear memory retrieval network. Here, we found shared characteristics such as modular composition and hub regions. By identifying and manipulating the circuits supporting memory function, as well as their corresponding brain-wide activity patterns, it is thereby possible to resolve systems-level biological mechanisms mediating memory's capacity to modulate behavioral states.
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Affiliation(s)
- Kaitlyn E Dorst
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
- Graduate Program for Neuroscience, Boston University, Boston 02215, Massachusetts
| | - Ryan A Senne
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
- Graduate Program for Neuroscience, Boston University, Boston 02215, Massachusetts
| | - Anh H Diep
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
| | - Antje R de Boer
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
| | - Rebecca L Suthard
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
- Graduate Program for Neuroscience, Boston University, Boston 02215, Massachusetts
| | - Heloise Leblanc
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
- Graduate Program for Neuroscience, Boston University, Boston 02215, Massachusetts
| | - Evan A Ruesch
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
| | - Angela Y Pyo
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
| | - Sara Skelton
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
| | - Lucas C Carstensen
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
- Graduate Program for Neuroscience, Boston University, Boston 02215, Massachusetts
| | - Samantha Malmberg
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
- Graduate Program for Neuroscience, Boston University, Boston 02215, Massachusetts
| | - Olivia P McKissick
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
| | - John H Bladon
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
| | - Steve Ramirez
- Department of Psychological and Brain Sciences, Boston University, Boston 02215, Massachusetts
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16
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Zhuang Y, Shi X. Label-Retention Expansion Microscopy (LR-ExM) for Enhanced Fluorescent Signals using Trifunctional Probes. Curr Protoc 2024; 4:e973. [PMID: 38265180 DOI: 10.1002/cpz1.973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
Expansion microscopy (ExM) is a super-resolution imaging technique that bypasses the diffraction limit of conventional optical microscopy (∼250 nm) by enlarging samples with a swellable hydrogel. Combined with various light microscopes, ExM enables an effective resolution ranging from 5 to 70 nm. ExM has now been successfully applied to cell, tissue, and whole-organism samples, providing biologists with a low-cost strategy to visualize samples at the molecular level. However, fluorescence signal loss easily happens for beginners and with early versions of ExM protocols. Here, we describe a protocol called label-retention expansion microscopy (LR-ExM), which can preserve and enhance the signal of ExM imaging via a series of trifunctional probes. These trifunctional probes are antibody-based and easy to prepare, and thus suit the needs of most laboratories. © 2024 Wiley Periodicals LLC. Basic Protocol: LR-ExM using trifunctional probes for enhanced fluorescent signals.
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Affiliation(s)
- Yinyin Zhuang
- Department of Developmental and Cell Biology, University of California, Irvine, California
| | - Xiaoyu Shi
- Department of Developmental and Cell Biology, University of California, Irvine, California
- Department of Chemistry, University of California, Irvine, California
- Department of Biomedical Engineering, University of California, Irvine, California
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17
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Yin Y, Koenitzer JR, Patra D, Dietmann S, Bayguinov P, Hagan AS, Ornitz DM. Identification of a myofibroblast differentiation program during neonatal lung development. bioRxiv 2023:2023.12.28.573370. [PMID: 38234814 PMCID: PMC10793446 DOI: 10.1101/2023.12.28.573370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Alveologenesis is the final stage of lung development in which the internal surface area of the lung is increased to facilitate efficient gas exchange in the mature organism. The first phase of alveologenesis involves the formation of septal ridges (secondary septae) and the second phase involves thinning of the alveolar septa. Within secondary septa, mesenchymal cells include a transient population of alveolar myofibroblasts (MyoFB) and a stable but poorly described population of lipid rich cells that have been referred to as lipofibroblasts or matrix fibroblasts (MatFB). Using a unique Fgf18CreER lineage trace mouse line, cell sorting, single cell RNA sequencing, and primary cell culture, we have identified multiple subtypes of mesenchymal cells in the neonatal lung, including an immature progenitor cell that gives rise to mature MyoFB. We also show that the endogenous and targeted ROSA26 locus serves as a sensitive reporter for MyoFB maturation. These studies identify a myofibroblast differentiation program that is distinct form other mesenchymal cells types and increases the known repertoire of mesenchymal cell types in the neonatal lung.
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Affiliation(s)
- Yongjun Yin
- Departments of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110
| | | | - Debabrata Patra
- Departments of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110
| | - Sabine Dietmann
- Departments of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110
- Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO 63110
| | - Peter Bayguinov
- Neuroscience, Washington University School of Medicine, St. Louis, MO 63110
| | - Andrew S. Hagan
- Departments of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110
| | - David M. Ornitz
- Departments of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110
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18
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Szelenyi ER, Navarrete JS, Murry AD, Zhang Y, Girven KS, Kuo L, Cline MM, Bernstein MX, Burdyniuk M, Bowler B, Goodwin NL, Juarez B, Zweifel LS, Golden SA. An arginine-rich nuclear localization signal (ArgiNLS) strategy for streamlined image segmentation of single-cells. bioRxiv 2023:2023.11.22.568319. [PMID: 38045271 PMCID: PMC10690249 DOI: 10.1101/2023.11.22.568319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
High-throughput volumetric fluorescent microscopy pipelines can spatially integrate whole-brain structure and function at the foundational level of single-cells. However, conventional fluorescent protein (FP) modifications used to discriminate single-cells possess limited efficacy or are detrimental to cellular health. Here, we introduce a synthetic and non-deleterious nuclear localization signal (NLS) tag strategy, called 'Arginine-rich NLS' (ArgiNLS), that optimizes genetic labeling and downstream image segmentation of single-cells by restricting FP localization near-exclusively in the nucleus through a poly-arginine mechanism. A single N-terminal ArgiNLS tag provides modular nuclear restriction consistently across spectrally separate FP variants. ArgiNLS performance in vivo displays functional conservation across major cortical cell classes, and in response to both local and systemic brain wide AAV administration. Crucially, the high signal-to-noise ratio afforded by ArgiNLS enhances ML-automated segmentation of single-cells due to rapid classifier training and enrichment of labeled cell detection within 2D brain sections or 3D volumetric whole-brain image datasets, derived from both staining-amplified and native signal. This genetic strategy provides a simple and flexible basis for precise image segmentation of genetically labeled single-cells at scale and paired with behavioral procedures.
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Affiliation(s)
- Eric R. Szelenyi
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington, Department of Biological Structure, Seattle, WA, USA
| | - Jovana S. Navarrete
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington, Department of Biological Structure, Seattle, WA, USA
- University of Washington, Graduate Program in Neuroscience, Seattle, WA, USA
| | - Alexandria D. Murry
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington, Department of Biological Structure, Seattle, WA, USA
| | - Yizhe Zhang
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington, Department of Biological Structure, Seattle, WA, USA
| | - Kasey S. Girven
- University of Washington, Department of Anesthesiology and Pain Medicine
| | - Lauren Kuo
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington Undergraduate Program in Biochemistry
- Allen Institute for Cell Science, Seattle, WA, USA
| | - Marcella M. Cline
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington, Department of Pharmacology, Seattle, WA, USA
- Cajal Neuroscience, Seattle, WA, USA
| | - Mollie X. Bernstein
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington, Department of Pharmacology, Seattle, WA, USA
| | | | - Bryce Bowler
- University of Washington, Department of Biological Structure, Seattle, WA, USA
| | - Nastacia L. Goodwin
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington, Department of Biological Structure, Seattle, WA, USA
- University of Washington, Graduate Program in Neuroscience, Seattle, WA, USA
| | - Barbara Juarez
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington, Department of Psychiatry and Behavioral Sciences, Seattle, WA, USA
- University of Washington, Department of Pharmacology, Seattle, WA, USA
- University of Maryland School of Medicine, Department of Neurobiology, Baltimore, MD, USA
| | - Larry S. Zweifel
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington, Department of Psychiatry and Behavioral Sciences, Seattle, WA, USA
- University of Washington, Department of Pharmacology, Seattle, WA, USA
| | - Sam A. Golden
- University of Washington Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), Seattle, WA, USA
- University of Washington, Department of Biological Structure, Seattle, WA, USA
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19
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Wang EHC, Barresi-Thornton R, Chen LC, Senna MM, Liao IC, Chen Y, Zheng Q, Bouez C. The Development of Human Ex Vivo Models of Inflammatory Skin Conditions. Int J Mol Sci 2023; 24:17255. [PMID: 38139083 PMCID: PMC10743306 DOI: 10.3390/ijms242417255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
Traditional research in inflammatory dermatoses has relied on animal models and reconstructed human epidermis to study these conditions. However, these models are limited in replicating the complexity of real human skin and reproducing the intricate pathological changes in skin barrier components and lipid profiles. To address this gap, we developed experimental models that mimic various human inflammatory skin phenotypes. Human ex vivo skins were stimulated with various triggers, creating models for inflammation-induced angiogenesis, irritation response, and chronic T-cell activation. We assessed the alterations in skin morphology, cellular infiltrates, cytokine production, and epidermal lipidomic profiles. In the pro-angiogenesis model, we observed increased mast cell degranulation and elevated levels of angiogenic growth factors. Both the irritant and chronic inflammation models exhibited severe epidermal disruption, along with macrophage infiltration, leukocyte exocytosis, and heightened cytokine levels. Lipidomic analysis revealed minor changes in the pro-angiogenesis model, whereas the chronic inflammation and irritant models exhibited significant decreases in barrier essential ceramide subclasses and a shift toward shorter acyl chain lengths (
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Affiliation(s)
| | | | - Li-Chi Chen
- Harvard Medical School, Boston & Beth Israel Lahey Health, Burlington, MA 01805, USA
| | | | - I-Chien Liao
- L’Oreal Research and Innovation, Clark, NJ 07066, USA
| | - Ying Chen
- L’Oreal Research and Innovation, Clark, NJ 07066, USA
| | - Qian Zheng
- L’Oreal Research and Innovation, Clark, NJ 07066, USA
| | - Charbel Bouez
- L’Oreal Research and Innovation, Clark, NJ 07066, USA
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20
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Jiang T, Gong H, Yuan J. Whole-brain Optical Imaging: A Powerful Tool for Precise Brain Mapping at the Mesoscopic Level. Neurosci Bull 2023; 39:1840-1858. [PMID: 37715920 PMCID: PMC10661546 DOI: 10.1007/s12264-023-01112-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 05/08/2023] [Indexed: 09/18/2023] Open
Abstract
The mammalian brain is a highly complex network that consists of millions to billions of densely-interconnected neurons. Precise dissection of neural circuits at the mesoscopic level can provide important structural information for understanding the brain. Optical approaches can achieve submicron lateral resolution and achieve "optical sectioning" by a variety of means, which has the natural advantage of allowing the observation of neural circuits at the mesoscopic level. Automated whole-brain optical imaging methods based on tissue clearing or histological sectioning surpass the limitation of optical imaging depth in biological tissues and can provide delicate structural information in a large volume of tissues. Combined with various fluorescent labeling techniques, whole-brain optical imaging methods have shown great potential in the brain-wide quantitative profiling of cells, circuits, and blood vessels. In this review, we summarize the principles and implementations of various whole-brain optical imaging methods and provide some concepts regarding their future development.
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Affiliation(s)
- Tao Jiang
- Huazhong University of Science and Technology-Suzhou Institute for Brainsmatics, Jiangsu Industrial Technology Research Institute, Suzhou, 215123, China
| | - Hui Gong
- Huazhong University of Science and Technology-Suzhou Institute for Brainsmatics, Jiangsu Industrial Technology Research Institute, Suzhou, 215123, China
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jing Yuan
- Huazhong University of Science and Technology-Suzhou Institute for Brainsmatics, Jiangsu Industrial Technology Research Institute, Suzhou, 215123, China.
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
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21
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Liwang JK, Kronman FA, Minteer JA, Wu YT, Vanselow DJ, Ben-Simon Y, Taormina M, Parmaksiz D, Way SW, Zeng H, Tasic B, Ng L, Kim Y. epDevAtlas: Mapping GABAergic cells and microglia in postnatal mouse brains. bioRxiv 2023:2023.11.24.568585. [PMID: 38045330 PMCID: PMC10690281 DOI: 10.1101/2023.11.24.568585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
During development, brain regions follow encoded growth trajectories. Compared to classical brain growth charts, high-definition growth charts could quantify regional volumetric growth and constituent cell types, improving our understanding of typical and pathological brain development. Here, we create high-resolution 3D atlases of the early postnatal mouse brain, using Allen CCFv3 anatomical labels, at postnatal days (P) 4, 6, 8, 10, 12, and 14, and determine the volumetric growth of different brain regions. We utilize 11 different cell type-specific transgenic animals to validate and refine anatomical labels. Moreover, we reveal region-specific density changes in γ-aminobutyric acid-producing (GABAergic), cortical layer-specific cell types, and microglia as key players in shaping early postnatal brain development. We find contrasting changes in GABAergic neuronal densities between cortical and striatal areas, stabilizing at P12. Moreover, somatostatin-expressing cortical interneurons undergo regionally distinct density reductions, while vasoactive intestinal peptide-expressing interneurons show no significant changes. Remarkably, microglia transition from high density in white matter tracks to gray matter at P10, and show selective density increases in sensory processing areas that correlate with the emergence of individual sensory modalities. Lastly, we create an open-access web-visualization ( https://kimlab.io/brain-map/epDevAtlas ) for cell-type growth charts and developmental atlases for all postnatal time points.
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22
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Alexandrov T, Saez‐Rodriguez J, Saka SK. Enablers and challenges of spatial omics, a melting pot of technologies. Mol Syst Biol 2023; 19:e10571. [PMID: 37842805 PMCID: PMC10632737 DOI: 10.15252/msb.202110571] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 10/17/2023] Open
Abstract
Spatial omics has emerged as a rapidly growing and fruitful field with hundreds of publications presenting novel methods for obtaining spatially resolved information for any omics data type on spatial scales ranging from subcellular to organismal. From a technology development perspective, spatial omics is a highly interdisciplinary field that integrates imaging and omics, spatial and molecular analyses, sequencing and mass spectrometry, and image analysis and bioinformatics. The emergence of this field has not only opened a window into spatial biology, but also created multiple novel opportunities, questions, and challenges for method developers. Here, we provide the perspective of technology developers on what makes the spatial omics field unique. After providing a brief overview of the state of the art, we discuss technological enablers and challenges and present our vision about the future applications and impact of this melting pot.
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Affiliation(s)
- Theodore Alexandrov
- Structural and Computational Biology UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
- Molecular Medicine Partnership UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
- BioInnovation InstituteCopenhagenDenmark
| | - Julio Saez‐Rodriguez
- Molecular Medicine Partnership UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
- Faculty of Medicine and Heidelberg University Hospital, Institute for Computational BiomedicineHeidelberg UniversityHeidelbergGermany
| | - Sinem K Saka
- Genome Biology UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
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23
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Zhong R, Xu Y, Williams JW, Li L. Loss of TREM2 exacerbates parenchymal amyloid pathology but diminishes CAA in Tg-SwDI mice. bioRxiv 2023:2023.11.04.565659. [PMID: 37961542 PMCID: PMC10635150 DOI: 10.1101/2023.11.04.565659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disease, and it is the most common cause of dementia worldwide. Recent genome-wide association studies (GWAS) identified TREM2 (triggering receptor expressed on myeloid cells 2) as one of the major risk factors for AD. TREM2 is a surface receptor expressed on microglia and largely mediates microglial functions and immune homeostasis in the brain. The functions of TREM2 in AD pathogenesis, including in the formation of the key pathology parenchymal amyloid-β (Aβ) plaques, have been investigated by introducing Trem2 deficiency in AD mouse models. However, the role of TREM2 in cerebrovascular amyloidosis, in particular cerebral amyloid angiopathy (CAA) remains unexplored. CAA features Aβ deposition along the cerebral vessels, signifying an intersection between AD and vascular dysfunction. Using a well-characterized CAA-prone, transgenic mouse model of AD, Tg-SwDI (SwDI), we found that loss of TREM2 led to a marked increase in overall Aβ load in the brain, but a dramatic decrease in CAA in microvessel-rich regions, along with reduced microglial association with CAA. Transcriptomic analysis revealed that in the absence of Trem2 , microglia were activated but trapped in transition to the fully reactive state. Like microglia, perivascular macrophages were activated with upregulation of cell junction related pathways in Trem2 -deficient SwDI mice. In addition, vascular mural cells and astrocytes exhibited distinct responses to Trem2 deficiency, contributing to the pathological changes in the brain of Trem2 -null SwDI mice. Our study provides the first evidence that TREM2 differentially modulates parenchymal and vascular Aβ pathologies, which may have significant implications for both TREM2- and Aβ-targeting therapies for AD.
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24
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Chiang M, Lin Y, Zhao W, Liu H, Hsu R, Chou T, Lu T, Lee I, Liao L, Chiou S, Chu L, Hu S. In Situ Forming of Nitric Oxide and Electric Stimulus for Nerve Therapy by Wireless Chargeable Gold Yarn-Dynamos. Adv Sci (Weinh) 2023; 10:e2303566. [PMID: 37867218 PMCID: PMC10667856 DOI: 10.1002/advs.202303566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 09/14/2023] [Indexed: 10/24/2023]
Abstract
Endogenous signals, namely nitric oxide (NO) and electrons, play a crucial role in regulating cell fate as well as the vascular and neuronal systems. Unfortunately, utilizing NO and electrical stimulation in clinical settings can be challenging due to NO's short half-life and the invasive electrodes required for electrical stimulation. Additionally, there is a lack of tools to spatiotemporally control gas release and electrical stimulation. To address these issues, an "electromagnetic messenger" approach that employs on-demand high-frequency magnetic field (HFMF) to trigger NO release and electrical stimulation for restoring brain function in cases of traumatic brain injury is introduced. The system comprises a NO donor (poly(S-nitrosoglutathione), pGSNO)-conjugated on a gold yarn-dynamos (GY) and embedded in an implantable silk in a microneedle. When subjected to HFMF, conductive GY induces eddy currents that stimulate the release of NO from pGSNO. This process significantly enhances neural stem cell (NSC) synapses' differentiation and growth. The combined strategy of using NO and electrical stimulation to inhibit inflammation, angiogenesis, and neuronal interrogation in traumatic brain injury is demonstrated in vivo.
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Affiliation(s)
- Min‐Ren Chiang
- Department of Biomedical Engineering and Environmental SciencesNational Tsing Hua UniversityHsinchu300044Taiwan
| | - Ya‐Hui Lin
- Department of Biomedical Engineering and Environmental SciencesNational Tsing Hua UniversityHsinchu300044Taiwan
- Brain Research CenterNational Tsing Hua UniversityHsinchu300044Taiwan
| | - Wei‐Jie Zhao
- Department of Biomedical Engineering and Environmental SciencesNational Tsing Hua UniversityHsinchu300044Taiwan
| | - Hsiu‐Ching Liu
- Department of Biomedical Engineering and Environmental SciencesNational Tsing Hua UniversityHsinchu300044Taiwan
| | - Ru‐Siou Hsu
- Department of ChemistryStanford UniversityStanfordCA94305USA
| | - Tsu‐Chin Chou
- Institute of Analytical and Environmental SciencesNational Tsing Hua UniversityHsinchu300044Taiwan
| | - Tsai‐Te Lu
- Institute of Biomedical EngineeringNational Tsing Hua UniversityHsinchu300044Taiwan
- Department of ChemistryNational Tsing Hua UniversityHsinchu300044Taiwan
- Department of ChemistryChung Yuan Christian UniversityTaoyuan320314Taiwan
| | - I‐Chi Lee
- Department of Biomedical Engineering and Environmental SciencesNational Tsing Hua UniversityHsinchu300044Taiwan
| | - Lun‐De Liao
- Institute of Biomedical Engineering and NanomedicineNational Health Research InstitutesMiaoli County35053Taiwan
| | - Shih‐Hwa Chiou
- Institute of PharmacologyCollege of MedicineNational Yang Ming Chiao Tung UniversityTaipei112304Taiwan
- Department of Medical ResearchTaipei Veterans General HospitalTaipei112201Taiwan
| | - Li‐An Chu
- Department of Biomedical Engineering and Environmental SciencesNational Tsing Hua UniversityHsinchu300044Taiwan
- Brain Research CenterNational Tsing Hua UniversityHsinchu300044Taiwan
| | - Shang‐Hsiu Hu
- Department of Biomedical Engineering and Environmental SciencesNational Tsing Hua UniversityHsinchu300044Taiwan
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25
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Althammer F. Heralding a new era of oxytocinergic research: New tools, new problems? J Neuroendocrinol 2023; 35:e13333. [PMID: 37621199 DOI: 10.1111/jne.13333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 08/10/2023] [Accepted: 08/10/2023] [Indexed: 08/26/2023]
Abstract
According to classic neuroendocrinology, hypothalamic oxytocin cells can be categorized into parvo- and magnocellular neurons. However, research in the last decade provided ample evidence that this black-and-white model of oxytocin neurons is most likely oversimplified. Novel genetic, functional and morphological studies indicate that oxytocin neurons might be organized in functional modules and suggest the existence of five or more distinct oxytocinergic subpopulations. However, many of these novel, automated high-throughput techniques might be inherently biased and interpretation of acquired data needs to be approached with caution to enable drawing sound and reliable conclusions. In addition, the recent finding that astrocytes in various brain regions express functional oxytocin receptors represents a paradigm shift and challenges the view that oxytocin primarily acts as a direct peptidergic neurotransmitter. This review highlights the latest technical advances in oxytocinergic research, puts recent studies on the oxytocin system into context and formulates various provocative ideas based on novel findings that challenges various prevailing hypotheses and dogmas about oxytocinergic modulation.
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Affiliation(s)
- Ferdinand Althammer
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
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26
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Ying R, Hamlette L, Nikoobakht L, Balaji R, Miko N, Caras ML. Organization of orbitofrontal-auditory pathways in the Mongolian gerbil. J Comp Neurol 2023; 531:1459-1481. [PMID: 37477903 PMCID: PMC10529810 DOI: 10.1002/cne.25525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/11/2023] [Accepted: 06/26/2023] [Indexed: 07/22/2023]
Abstract
Sound perception is highly malleable, rapidly adjusting to the acoustic environment and behavioral demands. This flexibility is the result of ongoing changes in auditory cortical activity driven by fluctuations in attention, arousal, or prior expectations. Recent work suggests that the orbitofrontal cortex (OFC) may mediate some of these rapid changes, but the anatomical connections between the OFC and the auditory system are not well characterized. Here, we used virally mediated fluorescent tracers to map the projection from OFC to the auditory midbrain, thalamus, and cortex in a classic animal model for auditory research, the Mongolian gerbil (Meriones unguiculatus). We observed no connectivity between the OFC and the auditory midbrain, and an extremely sparse connection between the dorsolateral OFC and higher order auditory thalamic regions. In contrast, we observed a robust connection between the ventral and medial subdivisions of the OFC and the auditory cortex, with a clear bias for secondary auditory cortical regions. OFC axon terminals were found in all auditory cortical lamina but were significantly more concentrated in the infragranular layers. Tissue-clearing and lightsheet microscopy further revealed that auditory cortical-projecting OFC neurons send extensive axon collaterals throughout the brain, targeting both sensory and non-sensory regions involved in learning, decision-making, and memory. These findings provide a more detailed map of orbitofrontal-auditory connections and shed light on the possible role of the OFC in supporting auditory cognition.
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Affiliation(s)
- Rose Ying
- Neuroscience and Cognitive Science Program, University of Maryland, College Park, Maryland, 20742
- Department of Biology, University of Maryland, College Park, Maryland, 20742
- Center for Comparative and Evolutionary Biology of Hearing, University of Maryland, College Park, Maryland, 20742
| | - Lashaka Hamlette
- Department of Biology, University of Maryland, College Park, Maryland, 20742
| | - Laudan Nikoobakht
- Department of Biology, University of Maryland, College Park, Maryland, 20742
| | - Rakshita Balaji
- Department of Biology, University of Maryland, College Park, Maryland, 20742
| | - Nicole Miko
- Department of Biology, University of Maryland, College Park, Maryland, 20742
| | - Melissa L. Caras
- Neuroscience and Cognitive Science Program, University of Maryland, College Park, Maryland, 20742
- Department of Biology, University of Maryland, College Park, Maryland, 20742
- Center for Comparative and Evolutionary Biology of Hearing, University of Maryland, College Park, Maryland, 20742
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27
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Zhao C, Germain RN. Multiplex imaging in immuno-oncology. J Immunother Cancer 2023; 11:e006923. [PMID: 37899132 PMCID: PMC10619056 DOI: 10.1136/jitc-2023-006923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/15/2023] [Indexed: 10/31/2023] Open
Abstract
Multiplex imaging has emerged as an invaluable tool for immune-oncologists and translational researchers, enabling them to examine intricate interactions among immune cells, stroma, matrix, and malignant cells within the tumor microenvironment (TME). It holds significant promise in the quest to discover improved biomarkers for treatment stratification and identify novel therapeutic targets. Nonetheless, several challenges exist in the realms of study design, experiment optimization, and data analysis. In this review, our aim is to present an overview of the utilization of multiplex imaging in immuno-oncology studies and inform novice researchers about the fundamental principles at each stage of the imaging and analysis process.
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Affiliation(s)
- Chen Zhao
- Thoracic and GI Malignancies Branch, CCR, NCI, Bethesda, Maryland, USA
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, Bethesda, Maryland, USA
| | - Ronald N Germain
- Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, Bethesda, Maryland, USA
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28
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Tian Y, Johnson GA, Williams RW, White LE. A rapid workflow for neuron counting in combined light sheet microscopy and magnetic resonance histology. Front Neurosci 2023; 17:1223226. [PMID: 37841684 PMCID: PMC10569694 DOI: 10.3389/fnins.2023.1223226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 09/04/2023] [Indexed: 10/17/2023] Open
Abstract
Information on regional variation in cell numbers and densities in the CNS provides critical insight into structure, function, and the progression of CNS diseases. However, variability can be real or a consequence of methods that do not account for technical biases, including morphologic deformations, errors in the application of cell type labels and boundaries of regions, errors of counting rules and sampling sites. We address these issues in a mouse model by introducing a workflow that consists of the following steps: 1. Magnetic resonance histology (MRH) to establish the size, shape, and regional morphology of the mouse brain in situ. 2. Light-sheet microscopy (LSM) to selectively label neurons or other cells in the entire brain without sectioning artifacts. 3. Register LSM volumes to MRH volumes to correct for dissection errors and both global and regional deformations. 4. Implement stereological protocols for automated sampling and counting of cells in 3D LSM volumes. This workflow can analyze the cell densities of one brain region in less than 1 min and is highly replicable in cortical and subcortical gray matter regions and structures throughout the brain. This method demonstrates the advantage of not requiring an extensive amount of training data, achieving a F1 score of approximately 0.9 with just 20 training nuclei. We report deformation-corrected neuron (NeuN) counts and neuronal density in 13 representative regions in 5 C57BL/6J cases and 2 BXD strains. The data represent the variability among specimens for the same brain region and across regions within the specimen. Neuronal densities estimated with our workflow are within the range of values in previous classical stereological studies. We demonstrate the application of our workflow to a mouse model of aging. This workflow improves the accuracy of neuron counting and the assessment of neuronal density on a region-by-region basis, with broad applications for studies of how genetics, environment, and development across the lifespan impact cell numbers in the CNS.
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Affiliation(s)
- Yuqi Tian
- Duke Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, United States
| | - G. Allan Johnson
- Duke Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, United States
| | - Robert W. Williams
- Department of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Leonard E. White
- Department of Neurology, Duke University, Durham, NC, United States
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29
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Porter CM, Truttmann MC. TSWIFT, a novel method for iterative staining of embedded and mounted human brain sections. bioRxiv 2023:2023.09.19.558493. [PMID: 37786703 PMCID: PMC10541584 DOI: 10.1101/2023.09.19.558493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Comprehensive characterization of protein networks in mounted brain tissue represents a major challenge in brain and neurodegenerative disease research. In this study, we develop a simple staining method, called TSWIFT, to iteratively stain pre-mounted formalin fixed, paraffin embedded (FFPE) brain sections, thus enabling high-dimensional sample phenotyping. We show that TSWIFT conserves tissue architecture and allows for relabeling a single mounted FFPE sample more than 10 times, even after prolonged storage at 4 °C. Using TSWIFT, we profile the abundance and localization of the HSP70 family chaperones HSC70 (HSPA8) and BiP (HSPA5) in mounted human brain tissue. Our results establish TSWIFT as an efficient method to obtain integrated high-dimensional knowledge of cellular proteomes by analyzing mounted FFPE human brain tissue.
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30
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Cui Y, Yang G, Goodwin DR, O’Flanagan CH, Sinha A, Zhang C, Kitko KE, Shin TW, Park D, Aparicio S, Boyden ES. Expansion microscopy using a single anchor molecule for high-yield multiplexed imaging of proteins and RNAs. PLoS One 2023; 18:e0291506. [PMID: 37729182 PMCID: PMC10511132 DOI: 10.1371/journal.pone.0291506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 08/30/2023] [Indexed: 09/22/2023] Open
Abstract
Expansion microscopy (ExM), by physically enlarging specimens in an isotropic fashion, enables nanoimaging on standard light microscopes. Key to existing ExM protocols is the equipping of different kinds of molecules, with different kinds of anchoring moieties, so they can all be pulled apart from each other by polymer swelling. Here we present a multifunctional anchor, an acrylate epoxide, that enables proteins and RNAs to be equipped with anchors in a single experimental step. This reagent simplifies ExM protocols and reduces cost (by 2-10-fold for a typical multiplexed ExM experiment) compared to previous strategies for equipping RNAs with anchors. We show that this united ExM (uniExM) protocol can be used to preserve and visualize RNA transcripts, proteins in biologically relevant ultrastructures, and sets of RNA transcripts in patient-derived xenograft (PDX) cancer tissues and may support the visualization of other kinds of biomolecular species as well. uniExM may find many uses in the simple, multimodal nanoscale analysis of cells and tissues.
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Affiliation(s)
- Yi Cui
- McGovern Institute, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Media Arts & Sciences, MIT, Cambridge, Massachusetts, United States of America
| | - Gaojie Yang
- McGovern Institute, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Media Arts & Sciences, MIT, Cambridge, Massachusetts, United States of America
| | - Daniel R. Goodwin
- McGovern Institute, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Media Arts & Sciences, MIT, Cambridge, Massachusetts, United States of America
| | - Ciara H. O’Flanagan
- Department of Molecular Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Anubhav Sinha
- McGovern Institute, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Media Arts & Sciences, MIT, Cambridge, Massachusetts, United States of America
- Harvard-MIT Program in Health Sciences and Technology, MIT, Cambridge, Massachusetts, United States of America
| | - Chi Zhang
- McGovern Institute, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Media Arts & Sciences, MIT, Cambridge, Massachusetts, United States of America
| | - Kristina E. Kitko
- McGovern Institute, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Media Arts & Sciences, MIT, Cambridge, Massachusetts, United States of America
| | - Tay Won Shin
- McGovern Institute, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Media Arts & Sciences, MIT, Cambridge, Massachusetts, United States of America
| | - Demian Park
- McGovern Institute, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Media Arts & Sciences, MIT, Cambridge, Massachusetts, United States of America
| | - Samuel Aparicio
- Department of Molecular Oncology, BC Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Edward S. Boyden
- McGovern Institute, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America
- Media Arts & Sciences, MIT, Cambridge, Massachusetts, United States of America
- Department of Biological Engineering, MIT, Cambridge, Massachusetts, United States of America
- Department of Brain and Cognitive Sciences, MIT, Cambridge, Massachusetts, United States of America
- Koch Institute for Cancer Research, MIT, Cambridge, Massachusetts, United States of America
- Howard Hughes Medical Institute, MIT, Cambridge, Massachusetts, United States of America
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31
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Kronman FA, Liwang JK, Betty R, Vanselow DJ, Wu YT, Tustison NJ, Bhandiwad A, Manjila SB, Minteer JA, Shin D, Lee CH, Patil R, Duda JT, Puelles L, Gee JC, Zhang J, Ng L, Kim Y. Developmental Mouse Brain Common Coordinate Framework. bioRxiv 2023:2023.09.14.557789. [PMID: 37745386 PMCID: PMC10515964 DOI: 10.1101/2023.09.14.557789] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
3D standard reference brains serve as key resources to understand the spatial organization of the brain and promote interoperability across different studies. However, unlike the adult mouse brain, the lack of standard 3D reference atlases for developing mouse brains has hindered advancement of our understanding of brain development. Here, we present a multimodal 3D developmental common coordinate framework (DevCCF) spanning mouse embryonic day (E) 11.5, E13.5, E15.5, E18.5, and postnatal day (P) 4, P14, and P56 with anatomical segmentations defined by a developmental ontology. At each age, the DevCCF features undistorted morphologically averaged atlas templates created from Magnetic Resonance Imaging and co-registered high-resolution templates from light sheet fluorescence microscopy. Expert-curated 3D anatomical segmentations at each age adhere to an updated prosomeric model and can be explored via an interactive 3D web-visualizer. As a use case, we employed the DevCCF to unveil the emergence of GABAergic neurons in embryonic brains. Moreover, we integrated the Allen CCFv3 into the P56 template with stereotaxic coordinates and mapped spatial transcriptome cell-type data with the developmental ontology. In summary, the DevCCF is an openly accessible resource that can be used for large-scale data integration to gain a comprehensive understanding of brain development.
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Affiliation(s)
- Fae A Kronman
- Department of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA
| | - Josephine K Liwang
- Department of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA
| | - Rebecca Betty
- Department of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA
| | - Daniel J Vanselow
- Department of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA
| | - Yuan-Ting Wu
- Department of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA
| | - Nicholas J Tustison
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA
| | | | - Steffy B Manjila
- Department of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA
| | - Jennifer A Minteer
- Department of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA
| | - Donghui Shin
- Department of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA
| | - Choong Heon Lee
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, NY, USA
| | - Rohan Patil
- Department of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA
| | - Jeffrey T Duda
- Department of Radiology, Penn Image Computing and Science Lab, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Luis Puelles
- Department of Human Anatomy and Psychobiology, Faculty of Medicine, Universidad de Murcia, and Murcia Arrixaca Institute for Biomedical Research (IMIB) Murcia, Spain
| | - James C Gee
- Department of Radiology, Penn Image Computing and Science Lab, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jiangyang Zhang
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, NY, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Yongsoo Kim
- Department of Neural and Behavioral Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA
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32
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Tan B, Browne CJ, Nöbauer T, Vaziri A, Friedman JM, Nestler EJ. Drugs of abuse hijack a mesolimbic pathway that processes homeostatic need. bioRxiv 2023:2023.09.03.556059. [PMID: 37732251 PMCID: PMC10508763 DOI: 10.1101/2023.09.03.556059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Addiction prioritizes drug use over innate needs by "hijacking" brain circuits that direct motivation, but how this develops remains unclear. Using whole-brain FOS mapping and in vivo single-neuron calcium imaging, we find that drugs of abuse augment ensemble activity in the nucleus accumbens (NAc) and disorganize overlapping ensemble responses to natural rewards in a cell-type-specific manner. Combining "FOS-Seq", CRISPR-perturbations, and snRNA-seq, we identify Rheb as a shared molecular substrate that regulates cell-type-specific signal transductions in NAc while enabling drugs to suppress natural reward responses. Retrograde circuit mapping pinpoints orbitofrontal cortex which, upon activation, mirrors drug effects on innate needs. These findings deconstruct the dynamic, molecular, and circuit basis of a common reward circuit, wherein drug value is scaled to promote drug-seeking over other, normative goals.
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Affiliation(s)
- Bowen Tan
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065, USA
- These authors contributed equally
| | - Caleb J. Browne
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- These authors contributed equally
| | - Tobias Nöbauer
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA
| | - Alipasha Vaziri
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA
- The Kavli Neural Systems Institute, The Rockefeller University, New York, NY 10065, USA
| | - Jeffrey M. Friedman
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065, USA
| | - Eric J. Nestler
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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33
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Lal NK, Le P, Aggarwal S, Zhang A, Wang K, Qi T, Pang Z, Yang D, Nudell V, Yeo GW, Banks AS, Ye L. Xiphoid nucleus of the midline thalamus controls cold-induced food seeking. Nature 2023; 621:138-145. [PMID: 37587337 PMCID: PMC10482681 DOI: 10.1038/s41586-023-06430-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 07/12/2023] [Indexed: 08/18/2023]
Abstract
Maintaining body temperature is calorically expensive for endothermic animals1. Mammals eat more in the cold to compensate for energy expenditure2, but the neural mechanism underlying this coupling is not well understood. Through behavioural and metabolic analyses, we found that mice dynamically switch between energy-conservation and food-seeking states in the cold, the latter of which are primarily driven by energy expenditure rather than the sensation of cold. To identify the neural mechanisms underlying cold-induced food seeking, we used whole-brain c-Fos mapping and found that the xiphoid (Xi), a small nucleus in the midline thalamus, was selectively activated by prolonged cold associated with elevated energy expenditure but not with acute cold exposure. In vivo calcium imaging showed that Xi activity correlates with food-seeking episodes under cold conditions. Using activity-dependent viral strategies, we found that optogenetic and chemogenetic stimulation of cold-activated Xi neurons selectively recapitulated food seeking under cold conditions whereas their inhibition suppressed it. Mechanistically, Xi encodes a context-dependent valence switch that promotes food-seeking behaviours under cold but not warm conditions. Furthermore, these behaviours are mediated by a Xi-to-nucleus accumbens projection. Our results establish Xi as a key region in the control of cold-induced feeding, which is an important mechanism in the maintenance of energy homeostasis in endothermic animals.
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Affiliation(s)
- Neeraj K Lal
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, USA
| | - Phuong Le
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Samarth Aggarwal
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, USA
| | - Alan Zhang
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, USA
| | - Kristina Wang
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, USA
| | - Tianbo Qi
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, USA
| | - Zhengyuan Pang
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, USA
| | - Dong Yang
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, USA
| | - Victoria Nudell
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, USA
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Alexander S Banks
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Li Ye
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, USA.
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA.
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34
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Sa M, Yoo ES, Koh W, Park MG, Jang HJ, Yang YR, Bhalla M, Lee JH, Lim J, Won W, Kwon J, Kwon JH, Seong Y, Kim B, An H, Lee SE, Park KD, Suh PG, Sohn JW, Lee CJ. Hypothalamic GABRA5-positive neurons control obesity via astrocytic GABA. Nat Metab 2023; 5:1506-1525. [PMID: 37653043 DOI: 10.1038/s42255-023-00877-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 07/25/2023] [Indexed: 09/02/2023]
Abstract
The lateral hypothalamic area (LHA) regulates food intake and energy balance. Although LHA neurons innervate adipose tissues, the identity of neurons that regulate fat is undefined. Here we show that GABRA5-positive neurons in LHA (GABRA5LHA) polysynaptically project to brown and white adipose tissues in the periphery. GABRA5LHA are a distinct subpopulation of GABAergic neurons and show decreased pacemaker firing in diet-induced obesity mouse models in males. Chemogenetic inhibition of GABRA5LHA suppresses fat thermogenesis and increases weight gain, whereas gene silencing of GABRA5 in LHA decreases weight gain. In the diet-induced obesity mouse model, GABRA5LHA are tonically inhibited by nearby reactive astrocytes releasing GABA, which is synthesized by monoamine oxidase B (Maob). Gene silencing of astrocytic Maob in LHA facilitates fat thermogenesis and reduces weight gain significantly without affecting food intake, which is recapitulated by administration of a Maob inhibitor, KDS2010. We propose that firing of GABRA5LHA suppresses fat accumulation and selective inhibition of astrocytic GABA is a molecular target for treating obesity.
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Affiliation(s)
- Moonsun Sa
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
- KU-KIST Graduate School of Converging Science and Technology, Korea University, Seongbuk-gu, Seoul, Republic of Korea
| | - Eun-Seon Yoo
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Wuhyun Koh
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
| | - Mingu Gordon Park
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
| | - Hyun-Jun Jang
- Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
| | - Yong Ryoul Yang
- Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
| | - Mridula Bhalla
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
- IBS School, University of Science and Technology, Daejeon, Republic of Korea
| | - Jae-Hun Lee
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
| | - Jiwoon Lim
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
- IBS School, University of Science and Technology, Daejeon, Republic of Korea
| | - Woojin Won
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
| | - Jea Kwon
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
| | - Joon-Ho Kwon
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
| | - Yejin Seong
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
| | - Byungeun Kim
- Center for Brain Disorders, Brain Science Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea
- Division of Bio-Medical Science and Technology, University of Science and Technology, Daejeon, Republic of Korea
| | - Heeyoung An
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea
| | - Seung Eun Lee
- Virus Facility, Research Animal Resource Center, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Ki Duk Park
- Center for Brain Disorders, Brain Science Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea
- Division of Bio-Medical Science and Technology, University of Science and Technology, Daejeon, Republic of Korea
| | - Pann-Ghill Suh
- Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
| | - Jong-Woo Sohn
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - C Justin Lee
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, Republic of Korea.
- KU-KIST Graduate School of Converging Science and Technology, Korea University, Seongbuk-gu, Seoul, Republic of Korea.
- IBS School, University of Science and Technology, Daejeon, Republic of Korea.
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35
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Gore F, Hernandez M, Ramakrishnan C, Crow AK, Malenka RC, Deisseroth K. Orbitofrontal cortex control of striatum leads economic decision-making. Nat Neurosci 2023; 26:1566-1574. [PMID: 37592039 PMCID: PMC10471500 DOI: 10.1038/s41593-023-01409-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 07/17/2023] [Indexed: 08/19/2023]
Abstract
Animals must continually evaluate stimuli in their environment to decide which opportunities to pursue, and in many cases these decisions can be understood in fundamentally economic terms. Although several brain regions have been individually implicated in these processes, the brain-wide mechanisms relating these regions in decision-making are unclear. Using an economic decision-making task adapted for rats, we find that neural activity in both of two connected brain regions, the ventrolateral orbitofrontal cortex (OFC) and the dorsomedial striatum (DMS), was required for economic decision-making. Relevant neural activity in both brain regions was strikingly similar, dominated by the spatial features of the decision-making process. However, the neural encoding of choice direction in OFC preceded that of DMS, and this temporal relationship was strongly correlated with choice accuracy. Furthermore, activity specifically in the OFC projection to the DMS was required for appropriate economic decision-making. These results demonstrate that choice information in the OFC is relayed to the DMS to lead accurate economic decision-making.
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Affiliation(s)
- Felicity Gore
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Nancy Pritzker Laboratory, Stanford University, Stanford, CA, USA
| | - Melissa Hernandez
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Charu Ramakrishnan
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Ailey K Crow
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Robert C Malenka
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Nancy Pritzker Laboratory, Stanford University, Stanford, CA, USA
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
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36
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Yip KYT, Gräff J. Tissue clearing applications in memory engram research. Front Behav Neurosci 2023; 17:1181818. [PMID: 37700912 PMCID: PMC10493294 DOI: 10.3389/fnbeh.2023.1181818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/26/2023] [Indexed: 09/14/2023] Open
Abstract
A memory engram is thought to be the physical substrate of the memory trace within the brain, which is generally depicted as a neuronal ensemble activated by learning to fire together during encoding and retrieval. It has been postulated that engram cell ensembles are functionally interconnected across multiple brain regions to store a single memory as an "engram complex", but visualizing this engram complex across the whole brain has for long been hindered by technical limitations. With the recent development of tissue clearing techniques, advanced light-sheet microscopy, and automated 3D image analysis, it has now become possible to generate a brain-wide map of engram cells and thereby to visualize the "engram complex". In this review, we first provide a comprehensive summary of brain-wide engram mapping studies to date. We then compile a guide on implementing the optimal tissue clearing technique for engram tagging approaches, paying particular attention to visualize engram reactivation as a critical mnemonic property, for which whole-brain multiplexed immunostaining becomes a challenging prerequisite. Finally, we highlight the potential of tissue clearing to simultaneously shed light on both the circuit connectivity and molecular underpinnings of engram cells in a single snapshot. In doing so, novel brain regions and circuits can be identified for subsequent functional manipulation, thus providing an opportunity to robustly examine the "engram complex" underlying memory storage.
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Affiliation(s)
| | - Johannes Gräff
- Laboratory of Neuroepigenetics, Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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37
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Bishop KW, Barner LAE, Han Q, Baraznenok E, Lan L, Poudel C, Gao G, Serafin RB, Chow SS, Glaser AK, Janowczyk A, Brenes D, Huang H, Miyasato D, True LD, Kang S, Vaughan JC, Liu JT. An end-to-end workflow for non-destructive 3D pathology. bioRxiv 2023:2023.08.03.551845. [PMID: 37577615 PMCID: PMC10418226 DOI: 10.1101/2023.08.03.551845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Recent advances in 3D pathology offer the ability to image orders-of-magnitude more tissue than conventional pathology while providing a volumetric context that is lacking with 2D tissue sections, all without requiring destructive tissue sectioning. Generating high-quality 3D pathology datasets on a consistent basis is non-trivial, requiring careful attention to many details regarding tissue preparation, imaging, and data/image processing in an iterative process. Here we provide an end-to-end protocol covering all aspects of a 3D pathology workflow (using light-sheet microscopy as an illustrative imaging platform) with sufficient detail to perform well-controlled preclinical and clinical studies. While 3D pathology is compatible with diverse staining protocols and computationally generated color palettes for visual analysis, this protocol will focus on a fluorescent analog of hematoxylin and eosin (H&E), which remains the most common stain for gold-standard diagnostic determinations. We present our guidelines for a broad range of end-users (e.g., biologists, clinical researchers, and engineers) in a simple tutorial format.
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Affiliation(s)
- Kevin W. Bishop
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | | | - Qinghua Han
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Elena Baraznenok
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Lydia Lan
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Department of Biology, University of Washington, Seattle, Washington, USA
| | - Chetan Poudel
- Department of Chemistry, University of Washington, Seattle, Washington, USA
| | - Gan Gao
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Robert B. Serafin
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Sarah S.L. Chow
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Adam K. Glaser
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Andrew Janowczyk
- Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA
- Department of Oncology, Division of Precision Oncology, University Hospital of Geneva, Geneva, Switzerland
- Department of Clinical Pathology, Division of Clinical Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - David Brenes
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Hongyi Huang
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Dominie Miyasato
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Lawrence D. True
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Soyoung Kang
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Joshua C. Vaughan
- Department of Chemistry, University of Washington, Seattle, Washington, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, Washington, USA
| | - Jonathan T.C. Liu
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
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38
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Zhuang Y, Shi X. Expansion microscopy: A chemical approach for super-resolution microscopy. Curr Opin Struct Biol 2023; 81:102614. [PMID: 37253290 DOI: 10.1016/j.sbi.2023.102614] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/13/2023] [Accepted: 05/01/2023] [Indexed: 06/01/2023]
Abstract
Super-resolution microscopy is a series of imaging techniques that bypass the diffraction limit of resolution. Since the 1990s, optical approaches, such as single-molecular localization microscopy, have allowed us to visualize biological samples from the sub-organelle to the molecular level. Recently, a chemical approach called expansion microscopy emerged as a new trend in super-resolution microscopy. It physically enlarges cells and tissues, which leads to an increase in the effective resolution of any microscope by the length expansion factor. Compared with optical approaches, expansion microscopy has a lower cost and higher imaging depth but requires a more complex procedure. The integration of expansion microscopy and advanced microscopes significantly pushed forward the boundary of super-resolution microscopy. This review covers the current state of the art in expansion microscopy, including the latest methods and their applications, as well as challenges and opportunities for future research.
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Affiliation(s)
- Yinyin Zhuang
- Department of Developmental and Cell Biology, University of California, Irvine, CA 92697, USA. https://twitter.com/YinyinZhuang
| | - Xiaoyu Shi
- Department of Developmental and Cell Biology, University of California, Irvine, CA 92697, USA; Department of Chemistry, University of California, Irvine, CA 92697, USA; Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA.
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Rosen G, Kirsch D, Horowitz S, Cherry JD, Nicks R, Kelley H, Uretsky M, Dell'Aquila K, Mathias R, Cormier KA, Kubilus CA, Mez J, Tripodis Y, Stein TD, Alvarez VE, Alosco ML, McKee AC, Huber BR. Three dimensional evaluation of cerebrovascular density and branching in chronic traumatic encephalopathy. Acta Neuropathol Commun 2023; 11:123. [PMID: 37491342 PMCID: PMC10369801 DOI: 10.1186/s40478-023-01612-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/27/2023] Open
Abstract
Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease associated with exposure to repetitive head impacts (RHI) and characterized by perivascular accumulations of hyperphosphorylated tau protein (p-tau) at the depths of the cortical sulci. Studies of living athletes exposed to RHI, including concussive and nonconcussive impacts, have shown increased blood-brain barrier permeability, reduced cerebral blood flow, and alterations in vasoreactivity. Blood-brain barrier abnormalities have also been reported in individuals neuropathologically diagnosed with CTE. To further investigate the three-dimensional microvascular changes in individuals diagnosed with CTE and controls, we used SHIELD tissue processing and passive delipidation to optically clear and label blocks of postmortem human dorsolateral frontal cortex. We used fluorescent confocal microscopy to quantitate vascular branch density and fraction volume. We compared the findings in 41 male brain donors, age at death 31-89 years, mean age 64 years, including 12 donors with low CTE (McKee stage I-II), 13 with high CTE (McKee stage III-IV) to 16 age- and sex-matched non-CTE controls (7 with RHI exposure and 9 with no RHI exposure). The density of vessel branches in the gray matter sulcus was significantly greater in CTE cases than in controls. The ratios of sulcus versus gyrus vessel branch density and fraction volume were also greater in CTE than in controls and significantly above one for the CTE group. Hyperphosphorylated tau pathology density correlated with gray matter sulcus fraction volume. These findings point towards increased vascular coverage and branching in the dorsolateral frontal cortex (DLF) sulci in CTE, that correlates with p-tau pathology.
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Affiliation(s)
- Grace Rosen
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- National Center for PTSD, US Department of Veterans Affairs, Boston, MA, USA
| | - Daniel Kirsch
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
| | - Sarah Horowitz
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- National Center for PTSD, US Department of Veterans Affairs, Boston, MA, USA
| | - Jonathan D Cherry
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Raymond Nicks
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Hunter Kelley
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Madeline Uretsky
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Kevin Dell'Aquila
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Rebecca Mathias
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
| | - Kerry A Cormier
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
- VA Bedford Healthcare System, US Department of Veterans Affairs, Bedford, MA, USA
| | - Caroline A Kubilus
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
- VA Bedford Healthcare System, US Department of Veterans Affairs, Bedford, MA, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, USA
| | - Thor D Stein
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Victor E Alvarez
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Michael L Alosco
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
| | - Ann C McKee
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA
- VA Bedford Healthcare System, US Department of Veterans Affairs, Bedford, MA, USA
| | - Bertrand R Huber
- VA Boston Healthcare System, US Department of Veterans Affairs, 150 S Huntington Avenue, Boston, MA, 02130, USA.
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, USA.
- Boston University Alzheimer's Disease Research Center and Boston University CTE Center, Boston, USA.
- National Center for PTSD, US Department of Veterans Affairs, Boston, MA, USA.
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Folorunso OO, Brown SE, Baruah J, Harvey TL, Jami SA, Radzishevsky I, Wolosker H, McNally JM, Gray JA, Vasudevan A, Balu DT. D-serine availability modulates prefrontal cortex inhibitory interneuron development and circuit maturation. Sci Rep 2023; 13:9595. [PMID: 37311798 PMCID: PMC10264435 DOI: 10.1038/s41598-023-35615-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/21/2023] [Indexed: 06/15/2023] Open
Abstract
The proper development and function of telencephalic GABAergic interneurons is critical for maintaining the excitation and inhibition (E/I) balance in cortical circuits. Glutamate contributes to cortical interneuron (CIN) development via N-methyl-D-aspartate receptors (NMDARs). NMDAR activation requires the binding of a co-agonist, either glycine or D-serine. D-serine (co-agonist at many mature forebrain synapses) is racemized by the neuronal enzyme serine racemase (SR) from L-serine. We utilized constitutive SR knockout (SR-/-) mice to investigate the effect of D-serine availability on the development of CINs and inhibitory synapses in the prelimbic cortex (PrL). We found that most immature Lhx6 + CINs expressed SR and the obligatory NMDAR subunit NR1. At embryonic day 15, SR-/- mice had an accumulation of GABA and increased mitotic proliferation in the ganglionic eminence and fewer Gad1 + (glutamic acid decarboxylase 67 kDa; GAD67) cells in the E18 neocortex. Lhx6 + cells develop into parvalbumin (PV+) and somatostatin (Sst+) CINs. In the PrL of postnatal day (PND) 16 SR-/- mice, there was a significant decrease in GAD67+ and PV+, but not SST + CIN density, which was associated with reduced inhibitory postsynaptic potentials in layer 2/3 pyramidal neurons. These results demonstrate that D-serine availability is essential for prenatal CIN development and postnatal cortical circuit maturation.
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Affiliation(s)
- Oluwarotimi O Folorunso
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA, 02478, USA.
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02215, USA.
| | - Stephanie E Brown
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA, 02478, USA
| | - Jugajyoti Baruah
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA, 02478, USA
- Angiogenesis and Brain Development Laboratory, Department of Neurosciences, Huntington Medical Research Institutes (HMRI), Pasadena, CA, 91105, USA
| | - Theresa L Harvey
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA, 02478, USA
| | - Shekib A Jami
- Center for Neuroscience, University of California Davis, Davis, CA, 95616, USA
| | - Inna Radzishevsky
- Department of Biochemistry, Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Herman Wolosker
- Department of Biochemistry, Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - James M McNally
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02215, USA
- VA Boston Healthcare System, West Roxbury, MA, 02132, USA
| | - John A Gray
- Center for Neuroscience, University of California Davis, Davis, CA, 95616, USA
| | - Anju Vasudevan
- Angiogenesis and Brain Development Laboratory, Department of Neurosciences, Huntington Medical Research Institutes (HMRI), Pasadena, CA, 91105, USA
| | - Darrick T Balu
- Division of Basic Neuroscience, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02215, USA
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41
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Park H, Jo SH, Lee RH, Macks CP, Ku T, Park J, Lee CW, Hur JK, Sohn CH. Spatial Transcriptomics: Technical Aspects of Recent Developments and Their Applications in Neuroscience and Cancer Research. Adv Sci (Weinh) 2023; 10:e2206939. [PMID: 37026425 PMCID: PMC10238226 DOI: 10.1002/advs.202206939] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 03/10/2023] [Indexed: 06/04/2023]
Abstract
Spatial transcriptomics is a newly emerging field that enables high-throughput investigation of the spatial localization of transcripts and related analyses in various applications for biological systems. By transitioning from conventional biological studies to "in situ" biology, spatial transcriptomics can provide transcriptome-scale spatial information. Currently, the ability to simultaneously characterize gene expression profiles of cells and relevant cellular environment is a paradigm shift for biological studies. In this review, recent progress in spatial transcriptomics and its applications in neuroscience and cancer studies are highlighted. Technical aspects of existing technologies and future directions of new developments (as of March 2023), computational analysis of spatial transcriptome data, application notes in neuroscience and cancer studies, and discussions regarding future directions of spatial multi-omics and their expanding roles in biomedical applications are emphasized.
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Affiliation(s)
- Han‐Eol Park
- Center for NanomedicineInstitute for Basic ScienceYonsei UniversitySeoul03722Republic of Korea
- Graduate Program in Nanobiomedical EngineeringAdvanced Science InstituteYonsei UniversitySeoul03722Republic of Korea
- School of Biological SciencesSeoul National UniversitySeoul08826Republic of Korea
| | - Song Hyun Jo
- Graduate School of Medical Science and EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
| | - Rosalind H. Lee
- School of Life SciencesGwangju Institute of Science and Technology (GIST)Gwangju61005Republic of Korea
| | - Christian P. Macks
- Center for NanomedicineInstitute for Basic ScienceYonsei UniversitySeoul03722Republic of Korea
- Graduate Program in Nanobiomedical EngineeringAdvanced Science InstituteYonsei UniversitySeoul03722Republic of Korea
| | - Taeyun Ku
- Graduate School of Medical Science and EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
| | - Jihwan Park
- School of Life SciencesGwangju Institute of Science and Technology (GIST)Gwangju61005Republic of Korea
| | - Chung Whan Lee
- Department of ChemistryGachon UniversitySeongnamGyeonggi‐do13120Republic of Korea
| | - Junho K. Hur
- Department of GeneticsCollege of MedicineHanyang UniversitySeoul04763Republic of Korea
| | - Chang Ho Sohn
- Center for NanomedicineInstitute for Basic ScienceYonsei UniversitySeoul03722Republic of Korea
- Graduate Program in Nanobiomedical EngineeringAdvanced Science InstituteYonsei UniversitySeoul03722Republic of Korea
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42
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Williford KM, Taylor A, Melchior JR, Yoon HJ, Sale E, Negasi MD, Adank DN, Brown JA, Bedenbaugh MN, Luchsinger JR, Centanni SW, Patel S, Calipari ES, Simerly RB, Winder DG. BNST PKCδ neurons are activated by specific aversive conditions to promote anxiety-like behavior. Neuropsychopharmacology 2023; 48:1031-1041. [PMID: 36941364 PMCID: PMC10209190 DOI: 10.1038/s41386-023-01569-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/13/2023] [Accepted: 03/05/2023] [Indexed: 03/22/2023]
Abstract
The bed nucleus of the stria terminalis (BNST) is a critical mediator of stress responses and anxiety-like behaviors. Neurons expressing protein kinase C delta (BNSTPKCδ) are an abundant but understudied subpopulation implicated in inhibiting feeding, but which have conflicting reports about their role in anxiety-like behaviors. We have previously shown that expression of PKCδ is dynamically regulated by stress and that BNSTPKCδ cells are recruited during bouts of active stress coping. Here, we first show that in vivo activation of this population is mildly aversive. This aversion was insensitive to prior restraint stress exposure. Further investigation revealed that unlike other BNST subpopulations, BNSTPKCδ cells do not exhibit increased cfos expression following restraint stress. Ex vivo current clamp recordings also indicate they are resistant to firing. To elucidate their afferent control, we next used rabies tracing with whole-brain imaging and channelrhodopsin-assisted circuit mapping, finding that BNSTPKCδ cells receive abundant input from affective, arousal, and sensory regions including the basolateral amygdala (BLA) paraventricular thalamus (PVT) and central amygdala PKCδ-expressing cells (CeAPKCδ). Given these findings, we used in vivo optogenetics and fiber photometry to further examine BNSTPKCδ cells in the context of stress and anxiety-like behavior. We found that BNSTPKCδ cell activity is associated with increased anxiety-like behavior in the elevated plus maze, increases following footshock, and unlike other BNST subpopulations, does not desensitize to repeated stress exposure. Taken together, we propose a model in which BNSTPKCδ cells may serve as threat detectors, integrating exteroceptive and interoceptive information to inform stress coping behaviors.
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Affiliation(s)
- Kellie M Williford
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - Anne Taylor
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - James R Melchior
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Hye Jean Yoon
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Eryn Sale
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - Milen D Negasi
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - Danielle N Adank
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - Jordan A Brown
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Michelle N Bedenbaugh
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Joseph R Luchsinger
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - Samuel W Centanni
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Sachin Patel
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University, Nashville, TN, USA
| | - Erin S Calipari
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University, Nashville, TN, USA
| | - Richard B Simerly
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Danny G Winder
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA.
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA.
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA.
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University, Nashville, TN, USA.
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Wang K, Yu Y, Xu Y, Yue Y, Zhao F, Feng W, Duan Y, Duan W, Yue J, Liao Z, Fei P, Sun H, Xiong B. TSA-PACT: a method for tissue clearing and immunofluorescence staining on zebrafish brain with improved sensitivity, specificity and stability. Cell Biosci 2023; 13:97. [PMID: 37237300 DOI: 10.1186/s13578-023-01043-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 05/01/2023] [Indexed: 05/28/2023] Open
Abstract
For comprehensive studies of the brain structure and function, fluorescence imaging of the whole brain is essential. It requires large-scale volumetric imaging in cellular or molecular resolution, which could be quite challenging. Recent advances in tissue clearing technology (e.g. CLARITY, PACT) provide new solutions by homogenizing the refractive index of the samples to create transparency. However, it has been difficult to acquire high quality results through immunofluorescence (IF) staining on the cleared samples. To address this issue, we developed TSA-PACT, a method combining tyramide signal amplification (TSA) and PACT, to transform samples into hydrogel polymerization frameworks with covalent fluorescent biomarkers assembled. We show that TSA-PACT is able to reduce the opacity of the zebrafish brain by more than 90% with well-preserved structure. Compared to traditional method, TSA-PACT achieves approximately tenfold signal amplification and twofold improvement in signal-to-noise ratio (SNR). Moreover, both the structure and the fluorescent signal persist for at least 16 months with excellent signal retention ratio. Overall, this method improves immunofluorescence signal sensitivity, specificity and stability in the whole brain of juvenile and adult zebrafish, which is applicable for fine structural analysis, neural circuit mapping and three-dimensional cell counting.
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Affiliation(s)
- Kang Wang
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Department of Forensic Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Yuxin Yu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yinhui Xu
- Department of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yingzi Yue
- Key Laboratory of Environment and Health (HUST), Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fang Zhao
- School of Optical and Electronic Information- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Wenyang Feng
- School of Optical and Electronic Information- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yijie Duan
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weicheng Duan
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jingjing Yue
- College of Engineering, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhiyun Liao
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Peng Fei
- School of Optical and Electronic Information- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Hui Sun
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Bo Xiong
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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44
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Chen W, Huang Q, Lazdon EK, Gomes A, Wong M, Stephens E, Royal TG, Frenkel D, Cai W, Kahn CR. Loss of insulin signaling in astrocytes exacerbates Alzheimer-like phenotypes in a 5xFAD mouse model. Proc Natl Acad Sci U S A 2023; 120:e2220684120. [PMID: 37186836 PMCID: PMC10214134 DOI: 10.1073/pnas.2220684120] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 04/10/2023] [Indexed: 05/17/2023] Open
Abstract
Brain insulin signaling controls peripheral energy metabolism and plays a key role in the regulation of mood and cognition. Epidemiological studies have indicated a strong connection between type 2 diabetes (T2D) and neurodegenerative disorders, especially Alzheimer's disease (AD), linked via dysregulation of insulin signaling, i.e., insulin resistance. While most studies have focused on neurons, here, we aim to understand the role of insulin signaling in astrocytes, a glial cell type highly implicated in AD pathology and AD progression. To this end, we created a mouse model by crossing 5xFAD transgenic mice, a well-recognized AD mouse model that expresses five familial AD mutations, with mice carrying a selective, inducible insulin receptor (IR) knockout in astrocytes (iGIRKO). We show that by age 6 mo, iGIRKO/5xFAD mice exhibited greater alterations in nesting, Y-maze performance, and fear response than those of mice with the 5xFAD transgenes alone. This was associated with increased Tau (T231) phosphorylation, increased Aβ plaque size, and increased association of astrocytes with plaques in the cerebral cortex as assessed using tissue CLARITY of the brain in the iGIRKO/5xFAD mice. Mechanistically, in vitro knockout of IR in primary astrocytes resulted in loss of insulin signaling, reduced ATP production and glycolic capacity, and impaired Aβ uptake both in the basal and insulin-stimulated states. Thus, insulin signaling in astrocytes plays an important role in the control of Aβ uptake, thereby contributing to AD pathology, and highlighting the potential importance of targeting insulin signaling in astrocytes as a site for therapeutics for patients with T2D and AD.
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Affiliation(s)
- Wenqiang Chen
- Section of Integrative Physiology and Metabolism, Joslin Diabetes Center, Department of Medicine, Harvard Medical School, Boston, MA02215
| | - Qian Huang
- Department of Biomedical Sciences, College of Osteopathic Medicine, New York Institute of Technology, Old Westbury, NY11568
| | - Ekaterina Katie Lazdon
- Department of Neurobiology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv69978, Israel
| | - Antonio Gomes
- Section of Integrative Physiology and Metabolism, Joslin Diabetes Center, Department of Medicine, Harvard Medical School, Boston, MA02215
| | - Marisa Wong
- Department of Biomedical Sciences, College of Osteopathic Medicine, New York Institute of Technology, Old Westbury, NY11568
| | - Emily Stephens
- Section of Integrative Physiology and Metabolism, Joslin Diabetes Center, Department of Medicine, Harvard Medical School, Boston, MA02215
- School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX79430
| | - Tabitha Grace Royal
- Department of Neurobiology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv69978, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv69978, Israel
| | - Dan Frenkel
- Section of Integrative Physiology and Metabolism, Joslin Diabetes Center, Department of Medicine, Harvard Medical School, Boston, MA02215
- Department of Neurobiology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv69978, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv69978, Israel
| | - Weikang Cai
- Section of Integrative Physiology and Metabolism, Joslin Diabetes Center, Department of Medicine, Harvard Medical School, Boston, MA02215
- Department of Biomedical Sciences, College of Osteopathic Medicine, New York Institute of Technology, Old Westbury, NY11568
| | - C. Ronald Kahn
- Section of Integrative Physiology and Metabolism, Joslin Diabetes Center, Department of Medicine, Harvard Medical School, Boston, MA02215
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45
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Yau CN, Lai HM, Lee K, Kwok AJ, Huang J, Ko H. Principles of deep immunohistochemistry for 3D histology. Cell Rep Methods 2023; 3:100458. [PMID: 37323568 PMCID: PMC10261851 DOI: 10.1016/j.crmeth.2023.100458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Deep immunohistochemistry (IHC) is a nascent field in three-dimensional (3D) histology that seeks to achieve thorough, homogeneous, and specific staining of intact tissues for visualization of microscopic architectures and molecular compositions at large spatial scales. Despite the tremendous potential of deep IHC in revealing molecule-structure-function relationships in biology and establishing diagnostic and prognostic features for pathological samples in clinical practice, the complexities and variations in methodologies may hinder its use by interested users. We provide a unified framework of deep immunostaining techniques by discussing the theoretical considerations of the physicochemical processes involved, summarizing the principles applied in contemporary methods, advocating a standardized benchmarking scheme, and highlighting unaddressed issues and future directions. By providing the essential information to guide investigators in customizing immunolabeling pipelines, we also seek to facilitate the adoption of deep IHC for researchers to address a wide range of research questions.
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Affiliation(s)
- Chun Ngo Yau
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Hei Ming Lai
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Krit Lee
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Andrew J. Kwok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Junzhe Huang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - Ho Ko
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
- Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
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46
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Tian Y, Johnson GA, Williams RW, White L. A rapid workflow for neuron counting in combined light sheet microscopy and magnetic resonance histology. bioRxiv 2023:2023.05.17.540884. [PMID: 37292796 PMCID: PMC10245654 DOI: 10.1101/2023.05.17.540884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Information on regional variation in cell numbers and densities in the CNS provides critical insight into structure, function, and the progression of CNS diseases. However, variability can be real or can be a consequence of methods that do not account for technical biases, including morphologic deformations, errors in the application of cell type labels and boundaries of regions, errors of counting rules and sampling sites. We address these issues of by introducing a workflow that consists of the following steps: 1. Magnetic resonance histology (MRH) to establish the size, shape, and regional morphology of the mouse brain in situ. 2. Light-sheet microscopy (LSM) to selectively label all neurons or other cells in the entire brain without sectioning artifacts. 3. Register LSM volumes to MRH volumes to correct for dissection errors and morphological deformations. 4. Implement novel protocol for automated sampling and counting of cells in 3D LSM volumes. This workflow can analyze the cells density of one brain region in less than 1 min and is highly replicable to cortical and subcortical gray matter regions and structures throughout the brain. We report deformation-corrected neuron (NeuN) counts and neuronal density in 13 representative regions in 5 C57B6/6J and 2 BXD strains. The data represent the variability among cases for the same brain region and across regions within case. Our data are consistent with previous studies. We demonstrate the application of our workflow to a mouse model of aging. This workflow improves the accuracy of neuron counting and the assessment of neuronal density on a region-by-region basis, with broad applications in how genetics, environment, and development across the lifespan impact brain structure.
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47
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Bedbrook CN, Nath RD, Nagvekar R, Deisseroth K, Brunet A. Rapid and precise genome engineering in a naturally short-lived vertebrate. eLife 2023; 12:80639. [PMID: 37191291 DOI: 10.7554/elife.80639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
The African turquoise killifish is a powerful vertebrate system to study complex phenotypes at scale, including aging and age-related disease. Here, we develop a rapid and precise CRISPR/Cas9-mediated knock-in approach in the killifish. We show its efficient application to precisely insert fluorescent reporters of different sizes at various genomic loci in order to drive cell-type- and tissue-specific expression. This knock-in method should allow the establishment of humanized disease models and the development of cell-type-specific molecular probes for studying complex vertebrate biology.
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Affiliation(s)
- Claire N Bedbrook
- Department of Genetics, Stanford University, Stanford, United States
- Department of Bioengineering, Stanford University, Stanford, United States
| | - Ravi D Nath
- Department of Genetics, Stanford University, Stanford, United States
| | - Rahul Nagvekar
- Department of Genetics, Stanford University, Stanford, United States
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, United States
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, United States
- Howard Hughes Medical Institute, Stanford University, Stanford, United States
| | - Anne Brunet
- Department of Genetics, Stanford University, Stanford, United States
- Glenn Laboratories for the Biology of Aging at Stanford, Stanford, United States
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, United States
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48
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Cho W, Kim S, Park YG. Towards multiplexed immunofluorescence of 3D tissues. Mol Brain 2023; 16:37. [PMID: 37131224 PMCID: PMC10155431 DOI: 10.1186/s13041-023-01027-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/14/2023] [Indexed: 05/04/2023] Open
Abstract
Profiling molecular expression in situ allows the integration of biomolecular and cellular features, enabling an in-depth understanding of biological systems. Multiplexed immunofluorescence methods can visualize tens to hundreds of proteins from individual tissue samples, but their application is usually limited to thin tissue sections. Multiplexed immunofluorescence of thick tissues or intact organs will enable high-throughput profiling of cellular protein expression within 3D tissue architectures (e.g., blood vessels, neural projections, tumors), opening a new dimension in diverse biological research and medical applications. We will review current multiplexed immunofluorescence methods and discuss possible approaches and challenges to achieve 3D multiplexed immunofluorescence.
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Affiliation(s)
- Wonjin Cho
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Sehun Kim
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Young-Gyun Park
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
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49
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Ho A, Orton R, Tayler R, Asamaphan P, Herder V, Davis C, Tong L, Smollett K, Manali M, Allan J, Rawlik K, McDonald SE, Vink E, Pollock L, Gannon L, Evans C, McMenamin J, Roy K, Marsh K, Divala T, Holden MTG, Lockhart M, Yirrell D, Currie S, O'Leary M, Henderson D, Shepherd SJ, Jackson C, Gunson R, MacLean A, McInnes N, Bradley-Stewart A, Battle R, Hollenbach JA, Henderson P, Odam M, Chikowore P, Oosthuyzen W, Chand M, Hamilton MS, Estrada-Rivadeneyra D, Levin M, Avramidis N, Pairo-Castineira E, Vitart V, Wilkie C, Palmarini M, Ray S, Robertson DL, da Silva Filipe A, Willett BJ, Breuer J, Semple MG, Turner D, Baillie JK, Thomson EC. Adeno-associated virus 2 infection in children with non-A-E hepatitis. Nature 2023; 617:555-563. [PMID: 36996873 DOI: 10.1038/s41586-023-05948-2] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 03/10/2023] [Indexed: 04/01/2023]
Abstract
An outbreak of acute hepatitis of unknown aetiology in children was reported in Scotland1 in April 2022 and has now been identified in 35 countries2. Several recent studies have suggested an association with human adenovirus with this outbreak, a virus not commonly associated with hepatitis. Here we report a detailed case-control investigation and find an association between adeno-associated virus 2 (AAV2) infection and host genetics in disease susceptibility. Using next-generation sequencing, PCR with reverse transcription, serology and in situ hybridization, we detected recent infection with AAV2 in plasma and liver samples in 26 out of 32 (81%) cases of hepatitis compared with 5 out of 74 (7%) of samples from unaffected individuals. Furthermore, AAV2 was detected within ballooned hepatocytes alongside a prominent T cell infiltrate in liver biopsy samples. In keeping with a CD4+ T-cell-mediated immune pathology, the human leukocyte antigen (HLA) class II HLA-DRB1*04:01 allele was identified in 25 out of 27 cases (93%) compared with a background frequency of 10 out of 64 (16%; P = 5.49 × 10-12). In summary, we report an outbreak of acute paediatric hepatitis associated with AAV2 infection (most likely acquired as a co-infection with human adenovirus that is usually required as a 'helper virus' to support AAV2 replication) and disease susceptibility related to HLA class II status.
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Affiliation(s)
- Antonia Ho
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Richard Orton
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Rachel Tayler
- Department of Paediatrics, Royal Hospital for Children, Glasgow, UK
| | - Patawee Asamaphan
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Vanessa Herder
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Chris Davis
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Lily Tong
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Katherine Smollett
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Maria Manali
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Jay Allan
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Konrad Rawlik
- Pandemic Science Hub, Centre for Inflammation Research and Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Sarah E McDonald
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Elen Vink
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Louisa Pollock
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
- Department of Paediatrics, Royal Hospital for Children, Glasgow, UK
| | | | - Clair Evans
- Department of Pathology, Queen Elizabeth University Hospital, Glasgow, UK
| | | | | | | | | | | | | | | | | | | | | | | | - Celia Jackson
- West of Scotland Specialist Virology Centre, Glasgow, UK
| | - Rory Gunson
- West of Scotland Specialist Virology Centre, Glasgow, UK
| | | | - Neil McInnes
- West of Scotland Specialist Virology Centre, Glasgow, UK
| | | | - Richard Battle
- Histocompatibility and Immunogenetics (H&I) Laboratory, Scottish National Blood Transfusion Service, Edinburgh Royal Infirmary, Edinburgh, UK
| | - Jill A Hollenbach
- Department of Neurology and Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Paul Henderson
- Child Life and Health, University of Edinburgh, Edinburgh, UK
| | - Miranda Odam
- Pandemic Science Hub, Centre for Inflammation Research and Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Primrose Chikowore
- Pandemic Science Hub, Centre for Inflammation Research and Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Wilna Oosthuyzen
- Pandemic Science Hub, Centre for Inflammation Research and Roslin Institute, University of Edinburgh, Edinburgh, UK
| | | | - Melissa Shea Hamilton
- Section of Paediatric Infectious Disease, Department of Infectious Disease, Imperial College London, London, UK
| | - Diego Estrada-Rivadeneyra
- Section of Paediatric Infectious Disease, Department of Infectious Disease, Imperial College London, London, UK
| | - Michael Levin
- Section of Paediatric Infectious Disease, Department of Infectious Disease, Imperial College London, London, UK
| | - Nikos Avramidis
- Pandemic Science Hub, Centre for Inflammation Research and Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Erola Pairo-Castineira
- Pandemic Science Hub, Centre for Inflammation Research and Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Veronique Vitart
- Pandemic Science Hub, Centre for Inflammation Research and Roslin Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute for Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Craig Wilkie
- School of Mathematics and Statistics, University of Glasgow, Glasgow, UK
| | - Massimo Palmarini
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Surajit Ray
- School of Mathematics and Statistics, University of Glasgow, Glasgow, UK
| | - David L Robertson
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Ana da Silva Filipe
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Brian J Willett
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK
| | | | | | - David Turner
- Histocompatibility and Immunogenetics (H&I) Laboratory, Scottish National Blood Transfusion Service, Edinburgh Royal Infirmary, Edinburgh, UK
| | - J Kenneth Baillie
- Pandemic Science Hub, Centre for Inflammation Research and Roslin Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute for Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Emma C Thomson
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK.
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK.
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50
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Lal NK, Le P, Aggarwal S, Zhang A, Wang K, Qi T, Pang Z, Yang D, Nudell V, Yeo GW, Banks AS, Ye L. Xiphoid nucleus of the midline thalamus controls cold-induced food seeking. bioRxiv 2023:2023.03.16.533067. [PMID: 36993706 PMCID: PMC10055253 DOI: 10.1101/2023.03.16.533067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Maintaining body temperature is calorically expensive for endothermic animals. Mammals eat more in the cold to compensate for energy expenditure, but the neural mechanism underlying this coupling is not well understood. Through behavioral and metabolic analyses, we found that mice dynamically switch between energy conservation and food-seeking states in the cold, the latter of which is primarily driven by energy expenditure rather than the sensation of cold. To identify the neural mechanisms underlying cold-induced food seeking, we use whole-brain cFos mapping and found that the xiphoid (Xi), a small nucleus in the midline thalamus, was selectively activated by prolonged cold associated with elevated energy expenditure but not with acute cold exposure. In vivo calcium imaging showed that Xi activity correlates with food-seeking episodes in cold conditions. Using activity-dependent viral strategies, we found that optogenetic and chemogenetic stimulation of cold-activated Xi neurons recapitulated cold-induced feeding, whereas their inhibition suppressed it. Mechanistically, Xi encodes a context-dependent valence switch promoting food-seeking behaviors in cold but not warm conditions. Furthermore, these behaviors are mediated by a Xi to nucleus accumbens projection. Our results establish Xi as a key region for controlling cold-induced feeding, an important mechanism for maintaining energy homeostasis in endothermic animals.
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