1
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Murdock MH, Yang CY, Sun N, Pao PC, Blanco-Duque C, Kahn MC, Kim T, Lavoie NS, Victor MB, Islam MR, Galiana F, Leary N, Wang S, Bubnys A, Ma E, Akay LA, Sneve M, Qian Y, Lai C, McCarthy MM, Kopell N, Kellis M, Piatkevich KD, Boyden ES, Tsai LH. Multisensory gamma stimulation promotes glymphatic clearance of amyloid. Nature 2024; 627:149-156. [PMID: 38418876 PMCID: PMC10917684 DOI: 10.1038/s41586-024-07132-6] [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: 02/21/2022] [Accepted: 01/25/2024] [Indexed: 03/02/2024]
Abstract
The glymphatic movement of fluid through the brain removes metabolic waste1-4. Noninvasive 40 Hz stimulation promotes 40 Hz neural activity in multiple brain regions and attenuates pathology in mouse models of Alzheimer's disease5-8. Here we show that multisensory gamma stimulation promotes the influx of cerebrospinal fluid and the efflux of interstitial fluid in the cortex of the 5XFAD mouse model of Alzheimer's disease. Influx of cerebrospinal fluid was associated with increased aquaporin-4 polarization along astrocytic endfeet and dilated meningeal lymphatic vessels. Inhibiting glymphatic clearance abolished the removal of amyloid by multisensory 40 Hz stimulation. Using chemogenetic manipulation and a genetically encoded sensor for neuropeptide signalling, we found that vasoactive intestinal peptide interneurons facilitate glymphatic clearance by regulating arterial pulsatility. Our findings establish novel mechanisms that recruit the glymphatic system to remove brain amyloid.
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Affiliation(s)
- Mitchell H Murdock
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Cheng-Yi Yang
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Na Sun
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ping-Chieh Pao
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Cristina Blanco-Duque
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Martin C Kahn
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - TaeHyun Kim
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Nicolas S Lavoie
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Matheus B Victor
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Md Rezaul Islam
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Fabiola Galiana
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Noelle Leary
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Sidney Wang
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Adele Bubnys
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Emily Ma
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Leyla A Akay
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Madison Sneve
- Departments of Biological Engineering and Brain and Cognitive Sciences, McGovern Institute, Cambridge, MA, USA
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yong Qian
- Departments of Biological Engineering and Brain and Cognitive Sciences, McGovern Institute, Cambridge, MA, USA
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Cuixin Lai
- School of Life Sciences, Westlake University, Westlake Laboratory of Life Sciences and Biomedicine, and Westlake Institute for Advanced Study, Hangzhou, China
| | - Michelle M McCarthy
- Department of Mathematics and Statistics, Boston University, Boston, MA, USA
| | - Nancy Kopell
- Department of Mathematics and Statistics, Boston University, Boston, MA, USA
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kiryl D Piatkevich
- Departments of Biological Engineering and Brain and Cognitive Sciences, McGovern Institute, Cambridge, MA, USA
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- School of Life Sciences, Westlake University, Westlake Laboratory of Life Sciences and Biomedicine, and Westlake Institute for Advanced Study, Hangzhou, China
| | - Edward S Boyden
- Departments of Biological Engineering and Brain and Cognitive Sciences, McGovern Institute, Cambridge, MA, USA
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Li-Huei Tsai
- Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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2
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Blanco-Duque C, Chan D, Kahn MC, Murdock MH, Tsai LH. Audiovisual gamma stimulation for the treatment of neurodegeneration. J Intern Med 2024; 295:146-170. [PMID: 38115692 PMCID: PMC10842797 DOI: 10.1111/joim.13755] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Alzheimer's disease (AD) is the most common type of neurodegenerative disease and a health challenge with major social and economic consequences. In this review, we discuss the therapeutic potential of gamma stimulation in treating AD and delve into the possible mechanisms responsible for its positive effects. Recent studies reveal that it is feasible and safe to induce 40 Hz brain activity in AD patients through a range of 40 Hz multisensory and noninvasive electrical or magnetic stimulation methods. Although research into the clinical potential of these interventions is still in its nascent stages, these studies suggest that 40 Hz stimulation can yield beneficial effects on brain function, disease pathology, and cognitive function in individuals with AD. Specifically, we discuss studies involving 40 Hz light, auditory, and vibrotactile stimulation, as well as noninvasive techniques such as transcranial alternating current stimulation and transcranial magnetic stimulation. The precise mechanisms underpinning the beneficial effects of gamma stimulation in AD are not yet fully elucidated, but preclinical studies have provided relevant insights. We discuss preclinical evidence related to both neuronal and nonneuronal mechanisms that may be involved, touching upon the relevance of interneurons, neuropeptides, and specific synaptic mechanisms in translating gamma stimulation into widespread neuronal activity within the brain. We also explore the roles of microglia, astrocytes, and the vasculature in mediating the beneficial effects of gamma stimulation on brain function. Lastly, we examine upcoming clinical trials and contemplate the potential future applications of gamma stimulation in the management of neurodegenerative disorders.
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Affiliation(s)
- Cristina Blanco-Duque
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Diane Chan
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Martin C Kahn
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Mitchell H Murdock
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Li-Huei Tsai
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
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3
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Sun N, Akay LA, Murdock MH, Park Y, Galiana-Melendez F, Bubnys A, Galani K, Mathys H, Jiang X, Ng AP, Bennett DA, Tsai LH, Kellis M. Author Correction: Single-nucleus multiregion transcriptomic analysis of brain vasculature in Alzheimer's disease. Nat Neurosci 2023; 26:2251. [PMID: 37907809 DOI: 10.1038/s41593-023-01507-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Affiliation(s)
- Na Sun
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Leyla Anne Akay
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Mitchell H Murdock
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yongjin Park
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology and Laboratory Medicine, Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Molecular Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Fabiola Galiana-Melendez
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Adele Bubnys
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kyriaki Galani
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hansruedi Mathys
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Xueqiao Jiang
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ayesha P Ng
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Li-Huei Tsai
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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4
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Sun N, Akay LA, Murdock MH, Park Y, Galiana-Melendez F, Bubnys A, Galani K, Mathys H, Jiang X, Ng AP, Bennett DA, Tsai LH, Kellis M. Single-nucleus multiregion transcriptomic analysis of brain vasculature in Alzheimer's disease. Nat Neurosci 2023; 26:970-982. [PMID: 37264161 PMCID: PMC10464935 DOI: 10.1038/s41593-023-01334-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [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: 02/15/2022] [Accepted: 04/17/2023] [Indexed: 06/03/2023]
Abstract
Cerebrovascular dysregulation is a hallmark of Alzheimer's disease (AD), but the changes that occur in specific cell types have not been fully characterized. Here, we profile single-nucleus transcriptomes in the human cerebrovasculature in six brain regions from 220 individuals with AD and 208 age-matched controls. We annotate 22,514 cerebrovascular cells, including 11 subtypes of endothelial, pericyte, smooth muscle, perivascular fibroblast and ependymal cells. We identify 2,676 differentially expressed genes in AD, including downregulation of PDGFRB in pericytes, and of ABCB1 and ATP10A in endothelial cells, and validate the downregulation of SLC6A1 and upregulation of APOD, INSR and COL4A1 in postmortem AD brain tissues. We detect vasculature, glial and neuronal coexpressed gene modules, suggesting coordinated neurovascular unit dysregulation in AD. Integration with AD genetics reveals 125 AD differentially expressed genes directly linked to AD-associated genetic variants. Lastly, we show that APOE4 genotype-associated differences are significantly enriched among AD-associated genes in capillary and venule endothelial cells, as well as subsets of pericytes and fibroblasts.
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Affiliation(s)
- Na Sun
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Leyla Anne Akay
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Mitchell H Murdock
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yongjin Park
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology and Laboratory Medicine, Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Molecular Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Fabiola Galiana-Melendez
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Adele Bubnys
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kyriaki Galani
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hansruedi Mathys
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Xueqiao Jiang
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ayesha P Ng
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Li-Huei Tsai
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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5
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Huang WC, Peng Z, Murdock MH, Liu L, Mathys H, Davila-Velderrain J, Jiang X, Chen M, Ng AP, Kim T, Abdurrob F, Gao F, Bennett DA, Kellis M, Tsai LH. Lateral mammillary body neurons in mouse brain are disproportionately vulnerable in Alzheimer's disease. Sci Transl Med 2023; 15:eabq1019. [PMID: 37075128 PMCID: PMC10511020 DOI: 10.1126/scitranslmed.abq1019] [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: 03/17/2022] [Accepted: 03/31/2023] [Indexed: 04/21/2023]
Abstract
The neural circuits governing the induction and progression of neurodegeneration and memory impairment in Alzheimer's disease (AD) are incompletely understood. The mammillary body (MB), a subcortical node of the medial limbic circuit, is one of the first brain regions to exhibit amyloid deposition in the 5xFAD mouse model of AD. Amyloid burden in the MB correlates with pathological diagnosis of AD in human postmortem brain tissue. Whether and how MB neuronal circuitry contributes to neurodegeneration and memory deficits in AD are unknown. Using 5xFAD mice and postmortem MB samples from individuals with varying degrees of AD pathology, we identified two neuronal cell types in the MB harboring distinct electrophysiological properties and long-range projections: lateral neurons and medial neurons. lateral MB neurons harbored aberrant hyperactivity and exhibited early neurodegeneration in 5xFAD mice compared with lateral MB neurons in wild-type littermates. Inducing hyperactivity in lateral MB neurons in wild-type mice impaired performance on memory tasks, whereas attenuating aberrant hyperactivity in lateral MB neurons ameliorated memory deficits in 5xFAD mice. Our findings suggest that neurodegeneration may be a result of genetically distinct, projection-specific cellular dysfunction and that dysregulated lateral MB neurons may be causally linked to memory deficits in AD.
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Affiliation(s)
- Wen-Chin Huang
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
| | - Zhuyu Peng
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
| | - Mitchell H. Murdock
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
| | - Liwang Liu
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
| | - Hansruedi Mathys
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Broad Institute of MIT and Harvard; Cambridge, MA, 02139, USA
| | - Jose Davila-Velderrain
- Broad Institute of MIT and Harvard; Cambridge, MA, 02139, USA
- MIT Computer Science and Artificial Intelligence Laboratory; Cambridge, MA 02139, USA
| | - Xueqiao Jiang
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
| | - Maggie Chen
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
| | - Ayesha P. Ng
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
| | - TaeHyun Kim
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
| | - Fatema Abdurrob
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
| | - Fan Gao
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center; Chicago, IL 60612, USA
| | - Manolis Kellis
- Broad Institute of MIT and Harvard; Cambridge, MA, 02139, USA
- MIT Computer Science and Artificial Intelligence Laboratory; Cambridge, MA 02139, USA
| | - Li-Huei Tsai
- The Picower Institute for Learning and Memory, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, MA, 02139, USA
- Broad Institute of MIT and Harvard; Cambridge, MA, 02139, USA
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6
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Abstract
Alzheimer's disease (AD) is an age-related disease pathologically defined by the deposition of amyloid plaques and neurofibrillary tangles in the brain parenchyma. Single-cell profiling has shown that Alzheimer's dementia involves the complex interplay of virtually every major brain cell type. Here, we highlight cell-type-specific molecular perturbations in AD. We discuss how genomic information from single cells expands existing paradigms of AD pathogenesis and highlight new opportunities for therapeutic interventions.
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Affiliation(s)
- Mitchell H Murdock
- Department of Brain and Cognitive Sciences, The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Li-Huei Tsai
- Department of Brain and Cognitive Sciences, The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
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7
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Roth A, Weinberg Z, Vanderschuren K, Murdock MH, Breaker RR. Natural circularly permuted group II introns in bacteria produce RNA circles. iScience 2021; 24:103431. [PMID: 34901790 PMCID: PMC8637638 DOI: 10.1016/j.isci.2021.103431] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/20/2021] [Accepted: 11/09/2021] [Indexed: 11/25/2022] Open
Abstract
Group II self-splicing introns are large structured RNAs that remove themselves from transcripts while simultaneously sealing the resulting gaps. Some representatives can subsequently reverse splice into DNA, accounting for their pervasive distribution in bacteria. The catalytically active tertiary structure of each group II intron is assembled from six domains that are arranged in a conserved order. Here, we report structural isomers of group II introns, called CP group II ribozymes, wherein the characteristic order of domains has been altered. Domains five and six, which normally reside at the 3' end of group II introns, instead occupy the 5' end to form circularly permuted variants. These unusual group II intron derivatives are catalytically active and generate large linear branched and small circular RNAs, reaction products that are markedly different from those generated by canonical group II introns. The biological role of CP group II ribozymes is currently unknown.
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Affiliation(s)
- Adam Roth
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520-8103, USA
- Howard Hughes Medical Institute, Yale University, New Haven, CT 06520-8103, USA
| | - Zasha Weinberg
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520-8103, USA
- Howard Hughes Medical Institute, Yale University, New Haven, CT 06520-8103, USA
| | - Koen Vanderschuren
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520-8103, USA
| | - Mitchell H. Murdock
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520-8103, USA
| | - Ronald R. Breaker
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520-8103, USA
- Howard Hughes Medical Institute, Yale University, New Haven, CT 06520-8103, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520-8103, USA
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8
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Campbell BC, Nabel EM, Murdock MH, Lao-Peregrin C, Tsoulfas P, Blackmore MG, Lee FS, Liston C, Morishita H, Petsko GA. mGreenLantern: a bright monomeric fluorescent protein with rapid expression and cell filling properties for neuronal imaging. Proc Natl Acad Sci U S A 2020; 117:30710-30721. [PMID: 33208539 PMCID: PMC7720163 DOI: 10.1073/pnas.2000942117] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Although ubiquitous in biological studies, the enhanced green and yellow fluorescent proteins (EGFP and EYFP) were not specifically optimized for neuroscience, and their underwhelming brightness and slow expression in brain tissue limits the fidelity of dendritic spine analysis and other indispensable techniques for studying neurodevelopment and plasticity. We hypothesized that EGFP's low solubility in mammalian systems must limit the total fluorescence output of whole cells, and that improving folding efficiency could therefore translate into greater brightness of expressing neurons. By introducing rationally selected combinations of folding-enhancing mutations into GFP templates and screening for brightness and expression rate in human cells, we developed mGreenLantern, a fluorescent protein having up to sixfold greater brightness in cells than EGFP. mGreenLantern illuminates neurons in the mouse brain within 72 h, dramatically reducing lag time between viral transduction and imaging, while its high brightness improves detection of neuronal morphology using widefield, confocal, and two-photon microscopy. When virally expressed to projection neurons in vivo, mGreenLantern fluorescence developed four times faster than EYFP and highlighted long-range processes that were poorly detectable in EYFP-labeled cells. Additionally, mGreenLantern retains strong fluorescence after tissue clearing and expansion microscopy, thereby facilitating superresolution and whole-brain imaging without immunohistochemistry. mGreenLantern can directly replace EGFP/EYFP in diverse systems due to its compatibility with GFP filter sets, recognition by EGFP antibodies, and excellent performance in mouse, human, and bacterial cells. Our screening and rational engineering approach is broadly applicable and suggests that greater potential of fluorescent proteins, including biosensors, could be unlocked using a similar strategy.
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Affiliation(s)
- Benjamin C Campbell
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021;
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021
| | - Elisa M Nabel
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Mitchell H Murdock
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021
| | - Cristina Lao-Peregrin
- Department of Psychiatry, Weill Cornell Medicine, Cornell University, New York, NY 10021
| | - Pantelis Tsoulfas
- Department of Biomedical Sciences, Marquette University, Milwaukee, WI 53211
| | - Murray G Blackmore
- Department of Neurological Surgery, Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, FL 33136
| | - Francis S Lee
- Department of Psychiatry, Weill Cornell Medicine, Cornell University, New York, NY 10021
- Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, Cornell University, New York, NY 10021
- Department of Pharmacology, Weill Cornell Medicine, Cornell University, New York, NY 10021
| | - Conor Liston
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021
- Department of Psychiatry, Weill Cornell Medicine, Cornell University, New York, NY 10021
- Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, Cornell University, New York, NY 10021
| | - Hirofumi Morishita
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Gregory A Petsko
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021;
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021
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9
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Qian Y, Cosio DMO, Piatkevich KD, Aufmkolk S, Su WC, Celiker OT, Schohl A, Murdock MH, Aggarwal A, Chang YF, Wiseman PW, Ruthazer ES, Boyden ES, Campbell RE. Improved genetically encoded near-infrared fluorescent calcium ion indicators for in vivo imaging. PLoS Biol 2020; 18:e3000965. [PMID: 33232322 PMCID: PMC7723245 DOI: 10.1371/journal.pbio.3000965] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 12/08/2020] [Accepted: 10/29/2020] [Indexed: 12/15/2022] Open
Abstract
Near-infrared (NIR) genetically encoded calcium ion (Ca2+) indicators (GECIs) can provide advantages over visible wavelength fluorescent GECIs in terms of reduced phototoxicity, minimal spectral cross talk with visible light excitable optogenetic tools and fluorescent probes, and decreased scattering and absorption in mammalian tissues. Our previously reported NIR GECI, NIR-GECO1, has these advantages but also has several disadvantages including lower brightness and limited fluorescence response compared to state-of-the-art visible wavelength GECIs, when used for imaging of neuronal activity. Here, we report 2 improved NIR GECI variants, designated NIR-GECO2 and NIR-GECO2G, derived from NIR-GECO1. We characterized the performance of the new NIR GECIs in cultured cells, acute mouse brain slices, and Caenorhabditis elegans and Xenopus laevis in vivo. Our results demonstrate that NIR-GECO2 and NIR-GECO2G provide substantial improvements over NIR-GECO1 for imaging of neuronal Ca2+ dynamics. This study describes improved genetically encoded near-infrared fluorescent calcium ion indicators, demonstrating that they enable robust detection of neuronal activity in cultured cells, rodent brain slices, Caenorhabditis elegans, and Xenopus laevis.
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Affiliation(s)
- Yong Qian
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
- Departments of Biological Engineering, Media Arts and Sciences, Brain and Cognitive Sciences, McGovern Institute, Koch Institute, Center for Neurobiological Engineering, MIT, and Howard Hughes Medical Institute, Cambridge, Massachusetts, United States of America
| | - Danielle M. Orozco Cosio
- Departments of Biological Engineering, Media Arts and Sciences, Brain and Cognitive Sciences, McGovern Institute, Koch Institute, Center for Neurobiological Engineering, MIT, and Howard Hughes Medical Institute, Cambridge, Massachusetts, United States of America
| | - Kiryl D. Piatkevich
- Departments of Biological Engineering, Media Arts and Sciences, Brain and Cognitive Sciences, McGovern Institute, Koch Institute, Center for Neurobiological Engineering, MIT, and Howard Hughes Medical Institute, Cambridge, Massachusetts, United States of America
- School of Life Sciences, Westlake University, Hangzhou, China
| | - Sarah Aufmkolk
- Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
- Department of Chemistry, McGill University, Montreal, Quebec, Canada
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Wan-Chi Su
- LumiSTAR Biotechnology, Nangang District, Taipei City, Taiwan
| | - Orhan T. Celiker
- Departments of Biological Engineering, Media Arts and Sciences, Brain and Cognitive Sciences, McGovern Institute, Koch Institute, Center for Neurobiological Engineering, MIT, and Howard Hughes Medical Institute, Cambridge, Massachusetts, United States of America
| | - Anne Schohl
- Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Mitchell H. Murdock
- Departments of Biological Engineering, Media Arts and Sciences, Brain and Cognitive Sciences, McGovern Institute, Koch Institute, Center for Neurobiological Engineering, MIT, and Howard Hughes Medical Institute, Cambridge, Massachusetts, United States of America
| | - Abhi Aggarwal
- Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, Virginia, United States of America
| | - Yu-Fen Chang
- LumiSTAR Biotechnology, Nangang District, Taipei City, Taiwan
| | - Paul W. Wiseman
- Department of Chemistry, McGill University, Montreal, Quebec, Canada
- Department of Physics, McGill University, Montreal, Quebec, Canada
| | - Edward S. Ruthazer
- Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Edward S. Boyden
- Departments of Biological Engineering, Media Arts and Sciences, Brain and Cognitive Sciences, McGovern Institute, Koch Institute, Center for Neurobiological Engineering, MIT, and Howard Hughes Medical Institute, Cambridge, Massachusetts, United States of America
| | - Robert E. Campbell
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
- Department of Chemistry, The University of Tokyo, Tokyo, Japan
- * E-mail:
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10
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Chu C, Murdock MH, Jing D, Won TH, Chung H, Kressel AM, Tsaava T, Addorisio ME, Putzel GG, Zhou L, Bessman NJ, Yang R, Moriyama S, Parkhurst CN, Li A, Meyer HC, Teng F, Chavan SS, Tracey KJ, Regev A, Schroeder FC, Lee FS, Liston C, Artis D. The microbiota regulate neuronal function and fear extinction learning. Nature 2019; 574:543-548. [PMID: 31645720 PMCID: PMC6818753 DOI: 10.1038/s41586-019-1644-y] [Citation(s) in RCA: 248] [Impact Index Per Article: 49.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Accepted: 09/05/2019] [Indexed: 12/13/2022]
Abstract
Multicellular organisms have co-evolved with complex consortia of viruses, bacteria, fungi and parasites, collectively referred to as the microbiota1. In mammals, changes in the composition of the microbiota can influence many physiologic processes (including development, metabolism and immune cell function) and are associated with susceptibility to multiple diseases2. Alterations in the microbiota can also modulate host behaviours-such as social activity, stress, and anxiety-related responses-that are linked to diverse neuropsychiatric disorders3. However, the mechanisms by which the microbiota influence neuronal activity and host behaviour remain poorly defined. Here we show that manipulation of the microbiota in antibiotic-treated or germ-free adult mice results in significant deficits in fear extinction learning. Single-nucleus RNA sequencing of the medial prefrontal cortex of the brain revealed significant alterations in gene expression in excitatory neurons, glia and other cell types. Transcranial two-photon imaging showed that deficits in extinction learning after manipulation of the microbiota in adult mice were associated with defective learning-related remodelling of postsynaptic dendritic spines and reduced activity in cue-encoding neurons in the medial prefrontal cortex. In addition, selective re-establishment of the microbiota revealed a limited neonatal developmental window in which microbiota-derived signals can restore normal extinction learning in adulthood. Finally, unbiased metabolomic analysis identified four metabolites that were significantly downregulated in germ-free mice and have been reported to be related to neuropsychiatric disorders in humans and mouse models, suggesting that microbiota-derived compounds may directly affect brain function and behaviour. Together, these data indicate that fear extinction learning requires microbiota-derived signals both during early postnatal neurodevelopment and in adult mice, with implications for our understanding of how diet, infection, and lifestyle influence brain health and subsequent susceptibility to neuropsychiatric disorders.
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Affiliation(s)
- Coco Chu
- Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Mitchell H Murdock
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Department of Psychiatry, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Deqiang Jing
- Department of Psychiatry, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Department of Pharmacology, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Tae Hyung Won
- Boyce Thompson Institute and Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA
| | - Hattie Chung
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Adam M Kressel
- Center for Biomedical Science and Bioelectronic Medicine, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Elmezzi Graduate School, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Department of Surgery, Northshore University Hospital, Northwell Health, Manhasset, NY, USA
| | - Tea Tsaava
- Center for Biomedical Science and Bioelectronic Medicine, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Meghan E Addorisio
- Center for Biomedical Science and Bioelectronic Medicine, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Gregory G Putzel
- Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Lei Zhou
- Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Nicholas J Bessman
- Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Ruirong Yang
- Department of Psychiatry, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Department of Pharmacology, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Saya Moriyama
- Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Christopher N Parkhurst
- Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Anfei Li
- Department of Psychiatry, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Heidi C Meyer
- Department of Psychiatry, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Fei Teng
- Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Sangeeta S Chavan
- Center for Biomedical Science and Bioelectronic Medicine, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Elmezzi Graduate School, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Kevin J Tracey
- Center for Biomedical Science and Bioelectronic Medicine, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Elmezzi Graduate School, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Howard Hughes Medical Institute, Koch Institute of Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Frank C Schroeder
- Boyce Thompson Institute and Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA
| | - Francis S Lee
- Department of Psychiatry, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, Cornell University, New York, NY, USA
- Department of Pharmacology, Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Conor Liston
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, Cornell University, New York, NY, USA.
- Department of Psychiatry, Weill Cornell Medicine, Cornell University, New York, NY, USA.
- Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, Cornell University, New York, NY, USA.
| | - David Artis
- Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY, USA.
- Friedman Center for Nutrition and Inflammation, Joan and Sanford I. Weill Department of Medicine, Department of Microbiology and Immunology, Weill Cornell Medicine, Cornell University, New York, NY, USA.
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11
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Moda-Sava RN, Murdock MH, Parekh PK, Fetcho RN, Huang BS, Huynh TN, Witztum J, Shaver DC, Rosenthal DL, Alway EJ, Lopez K, Meng Y, Nellissen L, Grosenick L, Milner TA, Deisseroth K, Bito H, Kasai H, Liston C. Sustained rescue of prefrontal circuit dysfunction by antidepressant-induced spine formation. Science 2019; 364:364/6436/eaat8078. [PMID: 30975859 DOI: 10.1126/science.aat8078] [Citation(s) in RCA: 324] [Impact Index Per Article: 64.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 02/18/2019] [Indexed: 12/11/2022]
Abstract
The neurobiological mechanisms underlying the induction and remission of depressive episodes over time are not well understood. Through repeated longitudinal imaging of medial prefrontal microcircuits in the living brain, we found that prefrontal spinogenesis plays a critical role in sustaining specific antidepressant behavioral effects and maintaining long-term behavioral remission. Depression-related behavior was associated with targeted, branch-specific elimination of postsynaptic dendritic spines on prefrontal projection neurons. Antidepressant-dose ketamine reversed these effects by selectively rescuing eliminated spines and restoring coordinated activity in multicellular ensembles that predict motivated escape behavior. Prefrontal spinogenesis was required for the long-term maintenance of antidepressant effects on motivated escape behavior but not for their initial induction.
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Affiliation(s)
- R N Moda-Sava
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - M H Murdock
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - P K Parekh
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - R N Fetcho
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - B S Huang
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - T N Huynh
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - J Witztum
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - D C Shaver
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - D L Rosenthal
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - E J Alway
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - K Lopez
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Y Meng
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - L Nellissen
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - L Grosenick
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA.,Departments of Bioengineering and of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - T A Milner
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA
| | - K Deisseroth
- Departments of Bioengineering and of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - H Bito
- Department of Neurochemistry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - H Kasai
- Laboratory of Structural Physiology, Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.,International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - C Liston
- Brain and Mind Research Institute, Department of Psychiatry, and Sackler Institute for Developmental Psychobiology, Weill Cornell Medicine, New York, NY 10021, USA.
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12
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Qian Y, Piatkevich KD, Mc Larney B, Abdelfattah AS, Mehta S, Murdock MH, Gottschalk S, Molina RS, Zhang W, Chen Y, Wu J, Drobizhev M, Hughes TE, Zhang J, Schreiter ER, Shoham S, Razansky D, Boyden ES, Campbell RE. A genetically encoded near-infrared fluorescent calcium ion indicator. Nat Methods 2019; 16:171-174. [PMID: 30664778 PMCID: PMC6393164 DOI: 10.1038/s41592-018-0294-6] [Citation(s) in RCA: 123] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Accepted: 12/04/2018] [Indexed: 11/09/2022]
Abstract
We report an intensiometric, near-infrared (NIR) fluorescent, genetically encoded calcium ion (Ca2+) indicator (GECI) with excitation and emission maxima at 678 nm and 704 nm, respectively. This GECI, designated NIR-GECO1, enables imaging of Ca2+ transients in cultured mammalian cells and brain tissue with sensitivity comparable to currently available visible-wavelength GECIs. We demonstrate that NIR-GECO1 opens up new vistas for multicolor Ca2+ imaging in combination with other optogenetic indicators and actuators.
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Affiliation(s)
- Yong Qian
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Kiryl D Piatkevich
- Media Lab and McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
| | - Benedict Mc Larney
- Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany.,Faculty of Medicine, Technical University of Munich, Munich, Germany
| | | | - Sohum Mehta
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Mitchell H Murdock
- Media Lab and McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
| | - Sven Gottschalk
- Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany
| | - Rosana S Molina
- Department of Cell Biology and Neuroscience, Montana State University, Bozeman, MT, USA
| | - Wei Zhang
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Yingche Chen
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Jiahui Wu
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Mikhail Drobizhev
- Department of Cell Biology and Neuroscience, Montana State University, Bozeman, MT, USA
| | - Thomas E Hughes
- Department of Cell Biology and Neuroscience, Montana State University, Bozeman, MT, USA
| | - Jin Zhang
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Eric R Schreiter
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Shy Shoham
- Departments of Ophthalmology and of Neuroscience and Physiology, New York University Langone Health, New York City, NY, USA
| | - Daniel Razansky
- Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany.,Faculty of Medicine, Technical University of Munich, Munich, Germany.,Faculty of Medicine and Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland.,Department of Information Technology and Electrical Engineering and Institute for Biomedical Engineering, ETH Zurich, Zurich, Switzerland
| | - Edward S Boyden
- Media Lab and McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
| | - Robert E Campbell
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada. .,Department of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
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13
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Pattwell SS, Liston C, Jing D, Ninan I, Yang RR, Witztum J, Murdock MH, Dincheva I, Bath KG, Casey BJ, Deisseroth K, Lee FS. Dynamic changes in neural circuitry during adolescence are associated with persistent attenuation of fear memories. Nat Commun 2016; 7:11475. [PMID: 27215672 PMCID: PMC4890178 DOI: 10.1038/ncomms11475] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2015] [Accepted: 03/30/2016] [Indexed: 12/11/2022] Open
Abstract
Fear can be highly adaptive in promoting survival, yet it can also be detrimental when it persists long after a threat has passed. Flexibility of the fear response may be most advantageous during adolescence when animals are prone to explore novel, potentially threatening environments. Two opposing adolescent fear-related behaviours-diminished extinction of cued fear and suppressed expression of contextual fear-may serve this purpose, but the neural basis underlying these changes is unknown. Using microprisms to image prefrontal cortical spine maturation across development, we identify dynamic BLA-hippocampal-mPFC circuit reorganization associated with these behavioural shifts. Exploiting this sensitive period of neural development, we modified existing behavioural interventions in an age-specific manner to attenuate adolescent fear memories persistently into adulthood. These findings identify novel strategies that leverage dynamic neurodevelopmental changes during adolescence with the potential to extinguish pathological fears implicated in anxiety and stress-related disorders.
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Affiliation(s)
- Siobhan S Pattwell
- Fred Hutchinson Cancer Research Center, Department of Human Biology, 1100 Fairview Ave N, Seattle, Washington 98109, USA
| | - Conor Liston
- Brain and Mind Research Institute, Weill Cornell Medical College, New York, New York 10065, USA.,Department of Psychiatry, Weill Cornell Medical College, New York, New York 10065, USA.,Sackler Institute for Developmental Psychobiology, Weill Cornell Medical College, New York, New York 10065, USA
| | - Deqiang Jing
- Department of Psychiatry, Weill Cornell Medical College, New York, New York 10065, USA
| | - Ipe Ninan
- Department of Psychiatry, New York University School of Medicine, New York, New York 10016, USA
| | - Rui R Yang
- Department of Psychiatry, Weill Cornell Medical College, New York, New York 10065, USA
| | - Jonathan Witztum
- Brain and Mind Research Institute, Weill Cornell Medical College, New York, New York 10065, USA
| | - Mitchell H Murdock
- Brain and Mind Research Institute, Weill Cornell Medical College, New York, New York 10065, USA
| | - Iva Dincheva
- Department of Psychiatry, Weill Cornell Medical College, New York, New York 10065, USA
| | - Kevin G Bath
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island 02912, USA
| | - B J Casey
- Sackler Institute for Developmental Psychobiology, Weill Cornell Medical College, New York, New York 10065, USA
| | - Karl Deisseroth
- Departments of Bioengineering and Psychiatry and Behavioral Sciences, Howard Hughes Medical Institute, Stanford University, Stanford, California 94305, USA
| | - Francis S Lee
- Department of Psychiatry, Weill Cornell Medical College, New York, New York 10065, USA.,Sackler Institute for Developmental Psychobiology, Weill Cornell Medical College, New York, New York 10065, USA
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