1
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Dulka K, Lajkó N, Nacsa K, Gulya K. Opposite and Differently Altered Postmortem Changes in H3 and H3K9me3 Patterns in the Rat Frontal Cortex and Hippocampus. EPIGENOMES 2024; 8:11. [PMID: 38534795 DOI: 10.3390/epigenomes8010011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 02/18/2024] [Accepted: 03/12/2024] [Indexed: 03/28/2024] Open
Abstract
Temporal and spatial epigenetic modifications in the brain occur during ontogenetic development, pathophysiological disorders, and aging. When epigenetic marks, such as histone methylations, in brain autopsies or biopsy samples are studied, it is critical to understand their postmortem/surgical stability. For this study, the frontal cortex and hippocampus of adult rats were removed immediately (controls) or after a postmortem delay of 15, 30, 60, 90, 120, or 150 min. The patterns of unmodified H3 and its trimethylated form H3K9me3 were analyzed in frozen samples for Western blot analysis and in formalin-fixed tissues embedded in paraffin for confocal microscopy. We found that both the unmodified H3 and H3K9me3 showed time-dependent but opposite changes and were altered differently in the frontal cortex and hippocampus with respect to postmortem delay. In the frontal cortex, the H3K9me3 marks increased approximately 450% with a slow parallel 20% decrease in the unmodified H3 histones after 150 min. In the hippocampus, the change was opposite, since H3K9me3 marks decreased steadily by approximately 65% after 150 min with a concomitant rapid increase of 20-25% in H3 histones at the same time. Confocal microscopy located H3K9me3 marks in the heterochromatic regions of the nuclei of all major cell types in the control brains: oligodendrocytes, astrocytes, neurons, and microglia. Therefore, epigenetic marks could be affected differently by postmortem delay in different parts of the brain.
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Affiliation(s)
- Karolina Dulka
- Department of Cell Biology and Molecular Medicine, University of Szeged, 6720 Szeged, Hungary
| | - Noémi Lajkó
- Department of Cell Biology and Molecular Medicine, University of Szeged, 6720 Szeged, Hungary
| | - Kálmán Nacsa
- Department of Cell Biology and Molecular Medicine, University of Szeged, 6720 Szeged, Hungary
| | - Karoly Gulya
- Department of Cell Biology and Molecular Medicine, University of Szeged, 6720 Szeged, Hungary
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2
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Rocks D, Purisic E, Gallo EF, Greally JM, Suzuki M, Kundakovic M. Egr1 is a sex-specific regulator of neuronal chromatin, synaptic plasticity, and behaviour. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.20.572697. [PMID: 38187614 PMCID: PMC10769422 DOI: 10.1101/2023.12.20.572697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Sex differences are found in brain structure and function across species, and across brain disorders in humans1-3. The major source of brain sex differences is differential secretion of steroid hormones from the gonads across the lifespan4. Specifically, ovarian hormones oestrogens and progesterone are known to dynamically change structure and function of the adult female brain, having a major impact on psychiatric risk5-7. However, due to limited molecular studies in female rodents8, very little is still known about molecular drivers of female-specific brain and behavioural plasticity. Here we show that overexpressing Egr1, a candidate oestrous cycle-dependent transcription factor9, induces sex-specific changes in ventral hippocampal neuronal chromatin, gene expression, and synaptic plasticity, along with hippocampus-dependent behaviours. Importantly, Egr1 overexpression mimics the high-oestrogenic phase of the oestrous cycle, and affects behaviours in ovarian hormone-depleted females but not in males. We demonstrate that Egr1 opens neuronal chromatin directly across the sexes, although with limited genomic overlap. Our study not only reveals the first sex-specific chromatin regulator in the brain, but also provides functional evidence that this sex-specific gene regulation drives neuronal gene expression, synaptic plasticity, and anxiety- and depression-related behaviour. Our study exemplifies an innovative sex-based approach to studying neuronal gene regulation1 in order to understand sex-specific synaptic and behavioural plasticity and inform novel brain disease treatments.
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Affiliation(s)
- Devin Rocks
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - Eric Purisic
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - Eduardo F. Gallo
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - John M. Greally
- Center for Epigenomics, Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Masako Suzuki
- Center for Epigenomics, Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Nutrition, Texas A&M University, College Station, TX, USA
| | - Marija Kundakovic
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
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3
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Rocks D, Jaric I, Bellia F, Cham H, Greally JM, Suzuki M, Kundakovic M. Early-life stress and ovarian hormones alter transcriptional regulation in the nucleus accumbens resulting in sex-specific responses to cocaine. Cell Rep 2023; 42:113187. [PMID: 37777968 PMCID: PMC10753961 DOI: 10.1016/j.celrep.2023.113187] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/29/2023] [Accepted: 09/12/2023] [Indexed: 10/03/2023] Open
Abstract
Early-life stress and ovarian hormones contribute to increased female vulnerability to cocaine addiction. Here, we reveal molecular substrates in the reward area, the nucleus accumbens, through which these female-specific factors affect immediate and conditioning responses to cocaine. We find shared involvement of X chromosome inactivation-related and estrogen signaling-related gene regulation in enhanced conditioning responses following early-life stress and during the low-estrogenic state in females. Low-estrogenic females respond to acute cocaine by opening neuronal chromatin enriched for the sites of ΔFosB, a transcription factor implicated in chronic cocaine response and addiction. Conversely, high-estrogenic females respond to cocaine by preferential chromatin closing, providing a mechanism for limiting cocaine-driven chromatin and synaptic plasticity. We find that physiological estrogen withdrawal, early-life stress, and absence of one X chromosome all nullify the protective effect of a high-estrogenic state on cocaine conditioning in females. Our findings offer a molecular framework to enable understanding of sex-specific neuronal mechanisms underlying cocaine use disorder.
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Affiliation(s)
- Devin Rocks
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - Ivana Jaric
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - Fabio Bellia
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - Heining Cham
- Department of Psychology, Fordham University, Bronx, NY, USA
| | - John M Greally
- Center for Epigenomics, Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Masako Suzuki
- Center for Epigenomics, Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Nutrition, Texas A&M University, College Station, TX, USA
| | - Marija Kundakovic
- Department of Biological Sciences, Fordham University, Bronx, NY, USA.
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4
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Zhang Q, Ma S, Liu Z, Zhu B, Zhou Z, Li G, Meana JJ, González-Maeso J, Lu C. Droplet-based bisulfite sequencing for high-throughput profiling of single-cell DNA methylomes. Nat Commun 2023; 14:4672. [PMID: 37537185 PMCID: PMC10400590 DOI: 10.1038/s41467-023-40411-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 07/26/2023] [Indexed: 08/05/2023] Open
Abstract
The genome-wide DNA methylation profile, or DNA methylome, is a critical component of the overall epigenomic landscape that modulates gene activities and cell fate. Single-cell DNA methylomic studies offer unprecedented resolution for detecting and profiling cell subsets based on methylomic features. However, existing single-cell methylomic technologies are based on use of tubes or well plates and these platforms are not easily scalable for handling a large number of single cells. Here we demonstrate a droplet-based microfluidic technology, Drop-BS, to construct single-cell bisulfite sequencing libraries for DNA methylome profiling. Drop-BS takes advantage of the ultrahigh throughput offered by droplet microfluidics to prepare bisulfite sequencing libraries of up to 10,000 single cells within 2 days. We apply the technology to profile mixed cell lines, mouse and human brain tissues to reveal cell type heterogeneity. Drop-BS offers a promising solution for single-cell methylomic studies requiring examination of a large cell population.
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Affiliation(s)
- Qiang Zhang
- Department of Chemical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Sai Ma
- Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, 24061, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Zhengzhi Liu
- Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Bohan Zhu
- Department of Chemical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Zirui Zhou
- Department of Chemical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Gaoshan Li
- Department of Chemical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - J Javier Meana
- Department of Pharmacology, University of the Basque Country UPV/EHU, CIBERSAM, Biocruces Health Research Institute, E-48940, Leioa, Bizkaia, Spain
| | - Javier González-Maeso
- Department of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA
| | - Chang Lu
- Department of Chemical Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
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5
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Zhang Q, Ma S, Liu Z, Zhu B, Zhou Z, Li G, Meana JJ, González-Maeso J, Lu C. Droplet-based bisulfite sequencing for high-throughput profiling of single-cell DNA methylomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.26.542421. [PMID: 37293095 PMCID: PMC10245959 DOI: 10.1101/2023.05.26.542421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Genome-wide DNA methylation profile, or DNA methylome, is a critical component of the overall epigenomic landscape that modulates gene activities and cell fate. Single-cell DNA methylomic studies offer unprecedented resolution for detecting and profiling cell subsets based on methylomic features. However, existing single-cell methylomic technologies are all based on use of tubes or well plates and these platforms are not easily scalable for handling a large number of single cells. Here we demonstrate a droplet-based microfluidic technology, Drop-BS, to construct single-cell bisulfite sequencing libraries for DNA methylome profiling. Drop-BS takes advantage of the ultrahigh throughput offered by droplet microfluidics to prepare bisulfite sequencing libraries of up to 10,000 single cells within 2 d. We applied the technology to profile mixed cell lines, mouse and human brain tissues to reveal cell type heterogeneity. Drop-BS will pave the way for single-cell methylomic studies requiring examination of a large cell population.
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Affiliation(s)
- Qiang Zhang
- Department of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Sai Ma
- Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA
- Present address: Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Zhengzhi Liu
- Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA
| | - Bohan Zhu
- Department of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Zirui Zhou
- Department of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Gaoshan Li
- Department of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - J. Javier Meana
- Department of Pharmacology, University of the Basque Country UPV/EHU, CIBERSAM, Biocruces Health Research Institute, E-48940 Leioa, Bizkaia, Spain
| | - Javier González-Maeso
- Department of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond, VA 23298, USA
| | - Chang Lu
- Department of Chemical Engineering, Virginia Tech, Blacksburg, VA 24061, USA
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6
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Plaza-Jennings AL, Valada A, O'Shea C, Iskhakova M, Hu B, Javidfar B, Ben Hutta G, Lambert TY, Murray J, Kassim B, Chandrasekaran S, Chen BK, Morgello S, Won H, Akbarian S. HIV integration in the human brain is linked to microglial activation and 3D genome remodeling. Mol Cell 2022; 82:4647-4663.e8. [PMID: 36525955 PMCID: PMC9831062 DOI: 10.1016/j.molcel.2022.11.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 09/12/2022] [Accepted: 11/17/2022] [Indexed: 12/23/2022]
Abstract
To explore genome organization and function in the HIV-infected brain, we applied single-nuclei transcriptomics, cell-type-specific chromosomal conformation mapping, and viral integration site sequencing (IS-seq) to frontal cortex from individuals with encephalitis (HIVE) and without (HIV+). Derepressive changes in 3D genomic compartment structures in HIVE microglia were linked to the transcriptional activation of interferon (IFN) signaling and cell migratory pathways, while transcriptional downregulation and repressive compartmentalization of neuronal health and signaling genes occurred in both HIVE and HIV+ microglia. IS-seq recovered 1,221 brain integration sites showing distinct genomic patterns compared with peripheral lymphocytes, with enrichment for sequences newly mobilized into a permissive chromatin environment after infection. Viral transcription occurred in a subset of highly activated microglia comprising 0.33% of all nuclei in HIVE brain. Our findings point to disrupted microglia-neuronal interactions in HIV and link retroviral integration to remodeling of the microglial 3D genome during infection.
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Affiliation(s)
- Amara L Plaza-Jennings
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Aditi Valada
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Callan O'Shea
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Marina Iskhakova
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Benxia Hu
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Behnam Javidfar
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Gabriella Ben Hutta
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Tova Y Lambert
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jacinta Murray
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bibi Kassim
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sandhya Chandrasekaran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Benjamin K Chen
- Division of Infectious Diseases, Department of Medicine, Immunology Institute, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Susan Morgello
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Hyejung Won
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.
| | - Schahram Akbarian
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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7
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Pai B, Tome-Garcia J, Cheng WS, Nudelman G, Beaumont KG, Ghatan S, Panov F, Caballero E, Sarpong K, Marcuse L, Yoo J, Jiang Y, Schaefer A, Akbarian S, Sebra R, Pinto D, Zaslavsky E, Tsankova NM. High-resolution transcriptomics informs glial pathology in human temporal lobe epilepsy. Acta Neuropathol Commun 2022; 10:149. [PMID: 36274170 PMCID: PMC9590125 DOI: 10.1186/s40478-022-01453-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 09/30/2022] [Indexed: 11/16/2022] Open
Abstract
The pathophysiology of epilepsy underlies a complex network dysfunction between neurons and glia, the molecular cell type-specific contributions of which remain poorly defined in the human disease. In this study, we validated a method that simultaneously isolates neuronal (NEUN +), astrocyte (PAX6 + NEUN–), and oligodendroglial progenitor (OPC) (OLIG2 + NEUN–) enriched nuclei populations from non-diseased, fresh-frozen human neocortex and then applied it to characterize the distinct transcriptomes of such populations isolated from electrode-mapped temporal lobe epilepsy (TLE) surgical samples. Nuclear RNA-seq confirmed cell type specificity and informed both common and distinct pathways associated with TLE in astrocytes, OPCs, and neurons. Compared to postmortem control, the transcriptome of epilepsy astrocytes showed downregulation of mature astrocyte functions and upregulation of development-related genes. To gain further insight into glial heterogeneity in TLE, we performed single cell transcriptomics (scRNA-seq) on four additional human TLE samples. Analysis of the integrated TLE dataset uncovered a prominent subpopulation of glia that express a hybrid signature of both reactive astrocyte and OPC markers, including many cells with a mixed GFAP + OLIG2 + phenotype. A further integrated analysis of this TLE scRNA-seq dataset and a previously published normal human temporal lobe scRNA-seq dataset confirmed the unique presence of hybrid glia only in TLE. Pseudotime analysis revealed cell transition trajectories stemming from this hybrid population towards both OPCs and reactive astrocytes. Immunofluorescence studies in human TLE samples confirmed the rare presence of GFAP + OLIG2 + glia, including some cells with proliferative activity, and functional analysis of cells isolated directly from these samples disclosed abnormal neurosphere formation in vitro. Overall, cell type-specific isolation of glia from surgical epilepsy samples combined with transcriptomic analyses uncovered abnormal glial subpopulations with de-differentiated phenotype, motivating further studies into the dysfunctional role of reactive glia in temporal lobe epilepsy.
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8
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Jaric I, Voelkl B, Clerc M, Schmid MW, Novak J, Rosso M, Rufener R, von Kortzfleisch VT, Richter SH, Buettner M, Bleich A, Amrein I, Wolfer DP, Touma C, Sunagawa S, Würbel H. The rearing environment persistently modulates mouse phenotypes from the molecular to the behavioural level. PLoS Biol 2022; 20:e3001837. [PMID: 36269766 PMCID: PMC9629646 DOI: 10.1371/journal.pbio.3001837] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 11/02/2022] [Accepted: 09/20/2022] [Indexed: 11/07/2022] Open
Abstract
The phenotype of an organism results from its genotype and the influence of the environment throughout development. Even when using animals of the same genotype, independent studies may test animals of different phenotypes, resulting in poor replicability due to genotype-by-environment interactions. Thus, genetically defined strains of mice may respond differently to experimental treatments depending on their rearing environment. However, the extent of such phenotypic plasticity and its implications for the replicability of research findings have remained unknown. Here, we examined the extent to which common environmental differences between animal facilities modulate the phenotype of genetically homogeneous (inbred) mice. We conducted a comprehensive multicentre study, whereby inbred C57BL/6J mice from a single breeding cohort were allocated to and reared in 5 different animal facilities throughout early life and adolescence, before being transported to a single test laboratory. We found persistent effects of the rearing facility on the composition and heterogeneity of the gut microbial community. These effects were paralleled by persistent differences in body weight and in the behavioural phenotype of the mice. Furthermore, we show that environmental variation among animal facilities is strong enough to influence epigenetic patterns in neurons at the level of chromatin organisation. We detected changes in chromatin organisation in the regulatory regions of genes involved in nucleosome assembly, neuronal differentiation, synaptic plasticity, and regulation of behaviour. Our findings demonstrate that common environmental differences between animal facilities may produce facility-specific phenotypes, from the molecular to the behavioural level. Furthermore, they highlight an important limitation of inferences from single-laboratory studies and thus argue that study designs should take environmental background into account to increase the robustness and replicability of findings. The phenotype of an organism results not only from its genotype but also the influence of its environment throughout development. This study shows that common environmental differences between animal facilities can induce substantial variation in the phenotype of mice, thereby highlighting an important limitation of inferences from single-laboratory studies in animal research.
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Affiliation(s)
- Ivana Jaric
- Animal Welfare Division, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- * E-mail: (IJ); (HW)
| | - Bernhard Voelkl
- Animal Welfare Division, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Melanie Clerc
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland
| | | | - Janja Novak
- Animal Welfare Division, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Marianna Rosso
- Animal Welfare Division, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Reto Rufener
- Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden
| | | | - S. Helene Richter
- Department of Behavioural Biology, University of Münster, Münster, Germany
| | - Manuela Buettner
- Institute for Laboratory Animal Science and Central Animal Facility, Hannover Medical School, Hannover, Germany
| | - André Bleich
- Institute for Laboratory Animal Science and Central Animal Facility, Hannover Medical School, Hannover, Germany
| | - Irmgard Amrein
- Institute of Anatomy, Division of Functional Neuroanatomy, University of Zürich, Zürich, Switzerland; Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - David P. Wolfer
- Institute of Anatomy, Division of Functional Neuroanatomy, University of Zürich, Zürich, Switzerland; Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Chadi Touma
- Department of Behavioural Biology, Osnabrück University, Osnabrück, Germany
| | - Shinichi Sunagawa
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland
| | - Hanno Würbel
- Animal Welfare Division, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- * E-mail: (IJ); (HW)
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9
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Rapanelli M, Williams JB, Ma K, Yang F, Zhong P, Patel R, Kumar M, Qin L, Rein B, Wang ZJ, Kassim B, Javidfar B, Couto L, Akbarian S, Yan Z. Targeting histone demethylase LSD1 for treatment of deficits in autism mouse models. Mol Psychiatry 2022; 27:3355-3366. [PMID: 35296809 PMCID: PMC9477974 DOI: 10.1038/s41380-022-01508-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 02/16/2022] [Accepted: 02/23/2022] [Indexed: 11/09/2022]
Abstract
Large-scale genetic studies have revealed that the most prominent genes disrupted in autism are chromatin regulators mediating histone methylation/demethylation, suggesting the central role of epigenetic dysfunction in this disorder. Here, we show that histone lysine 4 dimethylation (H3K4me2), a histone mark linked to gene activation, is significantly decreased in the prefrontal cortex (PFC) of autistic human patients and mutant mice with the deficiency of top-ranking autism risk factor Shank3 or Cul3. A brief treatment of the autism models with highly potent and selective inhibitors of the H3K4me2 demethylase LSD1 (KDM1A) leads to the robust rescue of core symptoms of autism, including social deficits and repetitive behaviors. Concomitantly, LSD1 inhibition restores NMDA receptor function in PFC and AMPA receptor-mediated currents in striatum of Shank3-deficient mice. Genome-wide RNAseq and ChIPseq reveal that treatment of Shank3-deficient mice with the LSD1 inhibitor restores the expression and H3K4me2 occupancy of downregulated genes enriched in synaptic signaling and developmental processes. The immediate early gene tightly linked to neuronal plasticity, Egr1, is on the top list of rescued genes. The diminished transcription of Egr1 is recapitulated in PFC of autistic human patients. Overexpression of Egr1 in PFC of Shank3-deficient mice ameliorates social preference deficits. These results have for the first time revealed an important role of H3K4me2 abnormality in ASD pathophysiology, and the therapeutic potential of targeting H3K4me2 demethylase LSD1 or the downstream molecule Egr1 for ASD.
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Affiliation(s)
- Maximiliano Rapanelli
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Jamal B Williams
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Kaijie Ma
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Fengwei Yang
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Ping Zhong
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Rajvi Patel
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Manasa Kumar
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Luye Qin
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Benjamin Rein
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Zi-Jun Wang
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Bibi Kassim
- Department of Psychiatry; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Behnam Javidfar
- Department of Psychiatry; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lizette Couto
- Department of Psychiatry; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Schahram Akbarian
- Department of Psychiatry; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zhen Yan
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA.
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10
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Sex-specific multi-level 3D genome dynamics in the mouse brain. Nat Commun 2022; 13:3438. [PMID: 35705546 PMCID: PMC9200740 DOI: 10.1038/s41467-022-30961-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 05/24/2022] [Indexed: 01/08/2023] Open
Abstract
The female mammalian brain exhibits sex hormone-driven plasticity during the reproductive period. Recent evidence implicates chromatin dynamics in gene regulation underlying this plasticity. However, whether ovarian hormones impact higher-order chromatin organization in post-mitotic neurons in vivo is unknown. Here, we mapped the 3D genome of ventral hippocampal neurons across the oestrous cycle and by sex in mice. In females, we find cycle-driven dynamism in 3D chromatin organization, including in oestrogen response elements-enriched X chromosome compartments, autosomal CTCF loops, and enhancer-promoter interactions. With rising oestrogen levels, the female 3D genome becomes more similar to the male 3D genome. Cyclical enhancer-promoter interactions are partially associated with gene expression and enriched for brain disorder-relevant genes and pathways. Our study reveals unique 3D genome dynamics in the female brain relevant to female-specific gene regulation, neuroplasticity, and disease risk. Here the authors provide evidence that 3D chromatin structure in the mouse brain differs between males and females and undergoes dynamic remodelling during the female ovarian cycle. They show female-specific 3D genome dynamics affects neuronal gene expression and brain disorder-relevant genes, and could play a role in reproductive hormone-induced brain plasticity and female-specific risk for brain disorders.
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11
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Convergence of case-specific epigenetic alterations identify a confluence of genetic vulnerabilities tied to opioid overdose. Mol Psychiatry 2022; 27:2158-2170. [PMID: 35301427 PMCID: PMC9133127 DOI: 10.1038/s41380-022-01477-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 01/19/2022] [Accepted: 02/08/2022] [Indexed: 11/08/2022]
Abstract
Opioid use disorder is a highly heterogeneous disease driven by a variety of genetic and environmental risk factors which have yet to be fully elucidated. Opioid overdose, the most severe outcome of opioid use disorder, remains the leading cause of accidental death in the United States. We interrogated the effects of opioid overdose on the brain using ChIP-seq to quantify patterns of H3K27 acetylation in dorsolateral prefrontal cortical neurons isolated from 51 opioid-overdose cases and 51 accidental death controls. Among opioid cases, we observed global hypoacetylation and identified 388 putative enhancers consistently depleted for H3K27ac. Machine learning on H3K27ac patterns predicted case-control status with high accuracy. We focused on case-specific regulatory alterations, revealing 81,399 hypoacetylation events, uncovering vast inter-patient heterogeneity. We developed a strategy to decode this heterogeneity based on convergence analysis, which leveraged promoter-capture Hi-C to identify five genes over-burdened by alterations in their regulatory network or "plexus": ASTN2, KCNMA1, DUSP4, GABBR2, ENOX1. These convergent loci are enriched for opioid use disorder risk genes and heritability for generalized anxiety, number of sexual partners, and years of education. Overall, our multi-pronged approach uncovers neurobiological aspects of opioid use disorder and captures genetic and environmental factors perpetuating the opioid epidemic.
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12
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Girdhar K, Hoffman GE, Bendl J, Rahman S, Dong P, Liao W, Hauberg ME, Sloofman L, Brown L, Devillers O, Kassim BS, Wiseman JR, Park R, Zharovsky E, Jacobov R, Flatow E, Kozlenkov A, Gilgenast T, Johnson JS, Couto L, Peters MA, Phillips-Cremins JE, Hahn CG, Gur RE, Tamminga CA, Lewis DA, Haroutunian V, Dracheva S, Lipska BK, Marenco S, Kundakovic M, Fullard JF, Jiang Y, Roussos P, Akbarian S. Chromatin domain alterations linked to 3D genome organization in a large cohort of schizophrenia and bipolar disorder brains. Nat Neurosci 2022; 25:474-483. [PMID: 35332326 PMCID: PMC8989650 DOI: 10.1038/s41593-022-01032-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 02/09/2022] [Indexed: 12/19/2022]
Abstract
Chromosomal organization, scaling from the 147 base pair nucleosome to
megabase-ranging domains encompassing multiple transcriptional units including
heritability loci for psychiatric traits, remains largely unexplored in the
human brain. Here, we construct promoter and enhancer enriched nucleosomal
histone modification landscapes for adult prefrontal cortex (PFC) from H3-lysine
27 acetylation and H3-lysine 4 trimethylation profiles, generated from (n=739)
388 controls and 351 subjects diagnosed with schizophrenia (SCZ) or bipolar
disorder (BD). We mapped thousands of cis-regulatory domains (CRDs), revealing
fine-grained, 104-106 bp chromosomal organization, firmly
integrated into Hi-C topologically associating domain (TAD) stratification by
open/repressive chromosomal environments and nuclear topography. Large clusters
of hyperacetylated CRDs were enriched for SCZ heritability, with prominent
representation of regulatory sequences governing fetal development and
glutamatergic neuron signaling. Therefore, SCZ and BD brains show coordinated
dysregulation of risk-associated regulatory sequences assembled into kilo- to
megabase-scaling chromosomal domains.
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Affiliation(s)
- Kiran Girdhar
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Gabriel E Hoffman
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jaroslav Bendl
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Samir Rahman
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pengfei Dong
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Will Liao
- New York Genome Center, New York, NY, USA
| | - Mads E Hauberg
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.,Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Laura Sloofman
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Leanne Brown
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Olivia Devillers
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bibi S Kassim
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jennifer R Wiseman
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Royce Park
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elizabeth Zharovsky
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rivky Jacobov
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elie Flatow
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexey Kozlenkov
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas Gilgenast
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Jessica S Johnson
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lizette Couto
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Jennifer E Phillips-Cremins
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Chang-Gyu Hahn
- Department of Psychiatry, Vickie and Jack Farber Institute for Neuroscience, Jefferson University, Philadelphia, PA, USA
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Carol A Tamminga
- Department of Psychiatry, The University of Texas Southwestern Medical School, Dallas, TX, USA
| | - David A Lewis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Vahram Haroutunian
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA
| | | | - Stella Dracheva
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Barbara K Lipska
- Human Brain Collection Core, National Institute of Mental Health-Intramural Research Program, Bethesda, MD, USA
| | - Stefano Marenco
- Human Brain Collection Core, National Institute of Mental Health-Intramural Research Program, Bethesda, MD, USA
| | - Marija Kundakovic
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - John F Fullard
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yan Jiang
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Institutes of Brain Science, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Panos Roussos
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA. .,Center for Dementia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
| | - Schahram Akbarian
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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13
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Epigenetics is Promising Direction in Modern Science. CHEMISTRY-DIDACTICS-ECOLOGY-METROLOGY 2022. [DOI: 10.2478/cdem-2021-0010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Abstract
Epigenetics studies the inherited changes in a phenotype or in expression of genes caused by other mechanisms, without changing the nucleotide sequence of DNA. The most distinguished epigenetic tools are: modifications of histones, enzymatic DNA methylation, and gene silencing mediated by small RNAs (miRNA, siRNA). The resulting m5C residues in DNA substantially affect the cooperation of proteins with DNA. It is organized by hormones and aging-related alterations, one of the mechanisms controlling sex and cellular differentiation. DNA methylation regulates all genetic functions: repair, recombination, DNA replication, as well as transcription. Distortions in DNA methylation and other epigenetic signals lead to diabetes, premature aging, mental dysfunctions, and cancer.
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14
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Rizavi HS, Chase KA, Liu C, Gavin H, Rosen C, Xia C, Guidotti A, Sharma RP. Differential H3K9me2 heterochromatin levels and concordant mRNA expression in postmortem brain tissue of individuals with schizophrenia, bipolar, and controls. Front Psychiatry 2022; 13:1006109. [PMID: 36386965 PMCID: PMC9644155 DOI: 10.3389/fpsyt.2022.1006109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/15/2022] [Indexed: 11/13/2022] Open
Abstract
The existence of repressive and durable chromatin assemblies along gene promoters or networks, especially in the brain, is of theoretical and therapeutic relevance in a subset of individuals diagnosed with schizophrenia who experience a chronic, persistent, and treatment-resistant trajectory. We used chromatin immunoprecipitation followed by deep sequencing (ChIP-Seq) to generate an epigenomic map that includes differential sites occupied by di-methylated lysine 9 of histone 3 (H3K9me2), a repressive modification that is yet unexplored in human postmortem brain tissue. We have discovered over 150 significantly differential promoter sites in the postmortem prefrontal cortex tissue of individuals diagnosed with schizophrenia (n = 15) when compared to controls (n = 15). Potentially dysregulated gene categories include postsynaptic proteins, processing enzymes (for proproteins, lipids, and oxidative stress), cadherin family genes, the complement system, and peptide hormones. Ten genes with significantly increased or decreased H3K9me2 promoter occupation were selected through statistical analysis, function, or previous GWAS association, and Quantitative RT-PCR (qRT-PCR) was performed on an extended sample of postmortem brain tissue, adding an additional 17 controls, 7 individuals with schizophrenia, and 19 individuals with bipolar samples (n = 32 control, 22 schizophrenia, 19 bipolar). This approach revealed that mRNA expression levels correlated with chromatin modification levels in eight of 10 selected genes, and mRNA expression in the total sample could be predicted by the occupancy of H3K9me2. Utilization of this method and replication in a larger sample open a pathway to durable and restrictive epigenomic assemblies whose accumulation across the lifespan of individuals diagnosed with schizophrenia may explain treatment resistance, and advance therapeutic options.
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Affiliation(s)
- Hooriyah S Rizavi
- Department of Psychiatry, The Psychiatric Institute, University of Illinois at Chicago, Chicago, IL, United States.,Jesse Brown Veterans Affairs Medical Center, Chicago, IL, United States
| | - Kayla A Chase
- Department of Biochemistry and Molecular Biology, University of Illinois at Chicago, Chicago, IL, United States
| | - Chunyu Liu
- Jesse Brown Veterans Affairs Medical Center, Chicago, IL, United States.,Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, United States
| | - Hannah Gavin
- Department of Psychiatry, The Psychiatric Institute, University of Illinois at Chicago, Chicago, IL, United States
| | - Cherise Rosen
- Department of Psychiatry, The Psychiatric Institute, University of Illinois at Chicago, Chicago, IL, United States
| | - Cuihua Xia
- School of Life Sciences, Central South University, Changsha, China
| | - Alessandro Guidotti
- Department of Psychiatry, The Psychiatric Institute, University of Illinois at Chicago, Chicago, IL, United States
| | - Rajiv P Sharma
- Department of Psychiatry, The Psychiatric Institute, University of Illinois at Chicago, Chicago, IL, United States.,Jesse Brown Veterans Affairs Medical Center, Chicago, IL, United States
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15
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Ma Y, Klein HU, De Jager PL. Considerations for integrative multi-omic approaches to explore Alzheimer's disease mechanisms. Brain Pathol 2021; 30:984-991. [PMID: 32654306 DOI: 10.1111/bpa.12878] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 07/07/2020] [Indexed: 12/29/2022] Open
Abstract
The past decade has seen the maturation of multiple different forms of high-dimensional molecular profiling to the point that these methods could be deployed in initially hundreds and more recently thousands of human samples. In the field of Alzheimer's disease (AD), these profiles have been applied to the target organ: the aging brain. In a growing number of cases, the same samples were profiled with multiple different approaches, yielding genetic, transcriptomic, epigenomic and proteomic data. Here, we review lessons learned so far as we move beyond quantitative trait locus (QTL) analyses which map the effect of genetic variation on molecular features to integrate multiple levels of "omic" data in an effort to identify the molecular drivers of AD. One thing is clear: no single layer of molecular or "omic" data is sufficient to capture the variance of AD or aging-related cognitive decline. Nonetheless, reproducible findings are emerging from current efforts, and there is evidence of convergence using different approaches. Thus, we are on the cusp of an acceleration of truly integrative studies as the availability of large numbers of well-characterized brain samples profiled in three or more dimensions enables the testing, comparison and refinement of analytic methods with which to dissect the molecular architecture of the aging brain.
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Affiliation(s)
- Yiyi Ma
- Center for Translational and Computational Neuroimmunology, Department of Neurology, the Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY
| | - Hans-Ulrich Klein
- Center for Translational and Computational Neuroimmunology, Department of Neurology, the Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, the Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY
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16
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Lecce L, Xu Y, V’Gangula B, Chandel N, Pothula V, Caudrillier A, Santini MP, d’Escamard V, Ceholski DK, Gorski PA, Ma L, Koplev S, Bjørklund MM, Björkegren JL, Boehm M, Bentzon JF, Fuster V, Kim HW, Weintraub NL, Baker AH, Bernstein E, Kovacic JC. Histone deacetylase 9 promotes endothelial-mesenchymal transition and an unfavorable atherosclerotic plaque phenotype. J Clin Invest 2021; 131:131178. [PMID: 34338228 PMCID: PMC8321575 DOI: 10.1172/jci131178] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 06/11/2021] [Indexed: 01/05/2023] Open
Abstract
Endothelial-mesenchymal transition (EndMT) is associated with various cardiovascular diseases and in particular with atherosclerosis and plaque instability. However, the molecular pathways that govern EndMT are poorly defined. Specifically, the role of epigenetic factors and histone deacetylases (HDACs) in controlling EndMT and the atherosclerotic plaque phenotype remains unclear. Here, we identified histone deacetylation, specifically that mediated by HDAC9 (a class IIa HDAC), as playing an important role in both EndMT and atherosclerosis. Using in vitro models, we found class IIa HDAC inhibition sustained the expression of endothelial proteins and mitigated the increase in mesenchymal proteins, effectively blocking EndMT. Similarly, ex vivo genetic knockout of Hdac9 in endothelial cells prevented EndMT and preserved a more endothelial-like phenotype. In vivo, atherosclerosis-prone mice with endothelial-specific Hdac9 knockout showed reduced EndMT and significantly reduced plaque area. Furthermore, these mice displayed a more favorable plaque phenotype, with reduced plaque lipid content and increased fibrous cap thickness. Together, these findings indicate that HDAC9 contributes to vascular pathology by promoting EndMT. Our study provides evidence for a pathological link among EndMT, HDAC9, and atherosclerosis and suggests that targeting of HDAC9 may be beneficial for plaque stabilization or slowing the progression of atherosclerotic disease.
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Affiliation(s)
- Laura Lecce
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Yang Xu
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Bhargavi V’Gangula
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nirupama Chandel
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Venu Pothula
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Axelle Caudrillier
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Maria Paola Santini
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Valentina d’Escamard
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Delaine K. Ceholski
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Przemek A. Gorski
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lijiang Ma
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Simon Koplev
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Martin Mæng Bjørklund
- Department of Clinical Medicine, Heart Diseases, Aarhus University, Aarhus, Denmark
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Johan L.M. Björkegren
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Integrated Cardio Metabolic Centre, Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden
| | - Manfred Boehm
- Laboratory of Cardiovascular Regenerative Medicine, Translational Vascular Medicine Branch, National Heart Lung and Blood Institute, NIH, Bethesda, Maryland, USA
| | - Jacob Fog Bentzon
- Department of Clinical Medicine, Heart Diseases, Aarhus University, Aarhus, Denmark
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Valentin Fuster
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Ha Won Kim
- Department of Medicine, Cardiology Division and Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Neal L. Weintraub
- Department of Medicine, Cardiology Division and Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Andrew H. Baker
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Emily Bernstein
- Departments of Oncological Sciences and Dermatology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jason C. Kovacic
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia
- St. Vincent’s Clinical School, University of New South Wales, Sydney, Australia
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17
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Hu B, Won H, Mah W, Park RB, Kassim B, Spiess K, Kozlenkov A, Crowley CA, Pochareddy S, Li Y, Dracheva S, Sestan N, Akbarian S, Geschwind DH. Neuronal and glial 3D chromatin architecture informs the cellular etiology of brain disorders. Nat Commun 2021; 12:3968. [PMID: 34172755 PMCID: PMC8233376 DOI: 10.1038/s41467-021-24243-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 05/26/2021] [Indexed: 02/06/2023] Open
Abstract
Cellular heterogeneity in the human brain obscures the identification of robust cellular regulatory networks, which is necessary to understand the function of non-coding elements and the impact of non-coding genetic variation. Here we integrate genome-wide chromosome conformation data from purified neurons and glia with transcriptomic and enhancer profiles, to characterize the gene regulatory landscape of two major cell classes in the human brain. We then leverage cell-type-specific regulatory landscapes to gain insight into the cellular etiology of several brain disorders. We find that Alzheimer's disease (AD)-associated epigenetic dysregulation is linked to neurons and oligodendrocytes, whereas genetic risk factors for AD highlighted microglia, suggesting that different cell types may contribute to disease risk, via different mechanisms. Moreover, integration of glutamatergic and GABAergic regulatory maps with genetic risk factors for schizophrenia (SCZ) and bipolar disorder (BD) identifies shared (parvalbumin-expressing interneurons) and distinct cellular etiologies (upper layer neurons for BD, and deeper layer projection neurons for SCZ). Collectively, these findings shed new light on cell-type-specific gene regulatory networks in brain disorders.
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Affiliation(s)
- Benxia Hu
- grid.410711.20000 0001 1034 1720UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC USA ,grid.410711.20000 0001 1034 1720Department of Genetics, University of North Carolina, Chapel Hill, NC USA
| | - Hyejung Won
- grid.410711.20000 0001 1034 1720UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC USA ,grid.410711.20000 0001 1034 1720Department of Genetics, University of North Carolina, Chapel Hill, NC USA
| | - Won Mah
- grid.410711.20000 0001 1034 1720UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC USA ,grid.410711.20000 0001 1034 1720Department of Genetics, University of North Carolina, Chapel Hill, NC USA
| | - Royce B. Park
- grid.59734.3c0000 0001 0670 2351Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Bibi Kassim
- grid.59734.3c0000 0001 0670 2351Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Keeley Spiess
- grid.410711.20000 0001 1034 1720UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC USA
| | - Alexey Kozlenkov
- grid.59734.3c0000 0001 0670 2351Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.274295.f0000 0004 0420 1184James J. Peters VA Medical Center, Bronx, NY USA
| | - Cheynna A. Crowley
- grid.410711.20000 0001 1034 1720Department of Genetics, University of North Carolina, Chapel Hill, NC USA
| | - Sirisha Pochareddy
- grid.47100.320000000419368710Department of Neuroscience and Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT USA
| | | | - Yun Li
- grid.410711.20000 0001 1034 1720Department of Genetics, University of North Carolina, Chapel Hill, NC USA ,grid.410711.20000 0001 1034 1720Biostatistics, University of North Carolina, Chapel Hill, NC USA ,grid.410711.20000 0001 1034 1720Computer Science, University of North Carolina, Chapel Hill, NC USA
| | - Stella Dracheva
- grid.59734.3c0000 0001 0670 2351Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.274295.f0000 0004 0420 1184James J. Peters VA Medical Center, Bronx, NY USA
| | - Nenad Sestan
- grid.47100.320000000419368710Department of Psychiatry, Yale School of Medicine, New Haven, CT USA ,grid.47100.320000000419368710Department of Genetics, Yale School of Medicine, New Haven, CT USA ,grid.47100.320000000419368710Department of Comparative Medicine, Program in Integrative Cell Signaling and Neurobiology of Metabolism, Yale School of Medicine, New Haven, CT USA ,grid.47100.320000000419368710Program in Cellular Neuroscience, Neurodegeneration, and Repair and Yale Child Study Center, Yale School of Medicine, New Haven, CT USA
| | - Schahram Akbarian
- grid.59734.3c0000 0001 0670 2351Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Daniel H. Geschwind
- grid.19006.3e0000 0000 9632 6718Neurogenetics Program, Department of Neurology, David Geffen School of Medicine University of California, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine University of California, Los Angeles, CA 90095 USA ,grid.19006.3e0000 0000 9632 6718Department of Human Genetics, David Geffen School of Medicine University of California, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine University of California, Los Angeles, CA USA
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18
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Rocks D, Jaric I, Tesfa L, Greally JM, Suzuki M, Kundakovic M. Cell type-specific chromatin accessibility analysis in the mouse and human brain. Epigenetics 2021; 17:202-219. [PMID: 33775205 PMCID: PMC8865312 DOI: 10.1080/15592294.2021.1896983] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The Assay for Transposase Accessible Chromatin by sequencing (ATAC-seq) is becoming popular in the neuroscience field where chromatin regulation is thought to be involved in neurodevelopment, activity-dependent gene regulation, hormonal and environmental responses, and pathophysiology of neuropsychiatric disorders. The advantages of using ATAC-seq include a small amount of material needed, fast protocol, and the ability to capture a range of gene regulatory elements with a single assay. With increasing interest in chromatin research, it is an imperative to have feasible, reliable assays that are compatible with a range of neuroscience study designs. Here we tested three protocols for neuronal chromatin accessibility analysis, including a varying brain tissue freezing method followed by fluorescence-activated nuclei sorting (FANS) and ATAC-seq. Our study shows that the cryopreservation method impacts the number of open chromatin regions identified from frozen brain tissue using ATAC-seq. However, we show that all protocols generate consistent and robust data and enable the identification of functional regulatory elements in neuronal cells. Our study implies that the broad biological interpretation of chromatin accessibility data is not significantly affected by the freezing condition. We also reveal additional challenges of doing chromatin analysis on post-mortem human brain tissue. Overall, ATAC-seq coupled with FANS is a powerful method to capture cell-type-specific chromatin accessibility information in mouse and human brain. Our study provides alternative brain preservation methods that generate high-quality ATAC-seq data while fitting in different study designs, and further encourages the use of this method to uncover the role of epigenetic (dys)regulation in the brain.
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Affiliation(s)
- Devin Rocks
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - Ivana Jaric
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - Lydia Tesfa
- Flow Cytometry Core Facility, Albert Einstein College of Medicine, Bronx, NY, USA
| | - John M Greally
- Center for Epigenomics, Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Masako Suzuki
- Center for Epigenomics, Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Marija Kundakovic
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
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19
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Richetto J, Meyer U. Epigenetic Modifications in Schizophrenia and Related Disorders: Molecular Scars of Environmental Exposures and Source of Phenotypic Variability. Biol Psychiatry 2021; 89:215-226. [PMID: 32381277 DOI: 10.1016/j.biopsych.2020.03.008] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 02/19/2020] [Accepted: 03/16/2020] [Indexed: 12/18/2022]
Abstract
Epigenetic modifications are increasingly recognized to play a role in the etiology and pathophysiology of schizophrenia and other psychiatric disorders with developmental origins. Here, we summarize clinical and preclinical findings of epigenetic alterations in schizophrenia and relevant disease models and discuss their putative origin. Recent findings suggest that certain schizophrenia risk loci can influence stochastic variation in gene expression through epigenetic processes, highlighting the intricate interaction between genetic and epigenetic control of neurodevelopmental trajectories. In addition, a substantial portion of epigenetic alterations in schizophrenia and related disorders may be acquired through environmental factors and may be manifested as molecular "scars." Some of these scars can influence brain functions throughout the entire lifespan and may even be transmitted across generations via epigenetic germline inheritance. Epigenetic modifications, whether caused by genetic or environmental factors, are plausible molecular sources of phenotypic heterogeneity and offer a target for therapeutic interventions. The further elucidation of epigenetic modifications thus may increase our knowledge regarding schizophrenia's heterogeneous etiology and pathophysiology and, in the long term, may advance personalized treatments through the use of biomarker-guided epigenetic interventions.
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Affiliation(s)
- Juliet Richetto
- Institute of Pharmacology and Toxicology, University of Zurich-Vetsuisse, and Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland.
| | - Urs Meyer
- Institute of Pharmacology and Toxicology, University of Zurich-Vetsuisse, and Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
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20
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Powell SK, O'Shea C, Brennand KJ, Akbarian S. Parsing the Functional Impact of Noncoding Genetic Variants in the Brain Epigenome. Biol Psychiatry 2021; 89:65-75. [PMID: 33131715 PMCID: PMC7718420 DOI: 10.1016/j.biopsych.2020.06.033] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/29/2020] [Accepted: 06/01/2020] [Indexed: 12/31/2022]
Abstract
The heritability of common psychiatric disorders has motivated global efforts to identify risk-associated genetic variants and elucidate molecular pathways connecting DNA sequence to disease-associated brain dysfunction. The overrepresentation of risk variants among gene regulatory loci instead of protein-coding loci, however, poses a unique challenge in discerning which among the many thousands of variants identified contribute functionally to disease etiology. Defined broadly, psychiatric epigenomics seeks to understand the effects of disease-associated genetic variation on functional readouts of chromatin in an effort to prioritize variants in terms of their impact on gene expression in the brain. Here, we provide an overview of epigenomic mapping in the human brain and highlight findings of particular relevance to psychiatric genetics. Computational methods, including convolutional neuronal networks, and other machine learning approaches hold great promise for elucidating the functional impact of both common and rare genetic variants, thereby refining the epigenomic architecture of psychiatric disorders and enabling integrative analyses of regulatory noncoding variants in the context of large population-level genome and phenome databases.
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Affiliation(s)
- Samuel K Powell
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Callan O'Shea
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kristen J Brennand
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Schahram Akbarian
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
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21
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Kozlenkov A, Vermunt MW, Apontes P, Li J, Hao K, Sherwood CC, Hof PR, Ely JJ, Wegner M, Mukamel EA, Creyghton MP, Koonin EV, Dracheva S. Evolution of regulatory signatures in primate cortical neurons at cell-type resolution. Proc Natl Acad Sci U S A 2020; 117:28422-28432. [PMID: 33109720 PMCID: PMC7668098 DOI: 10.1073/pnas.2011884117] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
The human cerebral cortex contains many cell types that likely underwent independent functional changes during evolution. However, cell-type-specific regulatory landscapes in the cortex remain largely unexplored. Here we report epigenomic and transcriptomic analyses of the two main cortical neuronal subtypes, glutamatergic projection neurons and GABAergic interneurons, in human, chimpanzee, and rhesus macaque. Using genome-wide profiling of the H3K27ac histone modification, we identify neuron-subtype-specific regulatory elements that previously went undetected in bulk brain tissue samples. Human-specific regulatory changes are uncovered in multiple genes, including those associated with language, autism spectrum disorder, and drug addiction. We observe preferential evolutionary divergence in neuron subtype-specific regulatory elements and show that a substantial fraction of pan-neuronal regulatory elements undergoes subtype-specific evolutionary changes. This study sheds light on the interplay between regulatory evolution and cell-type-dependent gene-expression programs, and provides a resource for further exploration of human brain evolution and function.
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Affiliation(s)
- Alexey Kozlenkov
- Research & Development, James J. Peters VA Medical Center, Bronx, NY 10468
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Marit W Vermunt
- Hubrecht Institute, University Medical Center Utrecht, 3584 CT Utrecht, The Netherlands
| | - Pasha Apontes
- Research & Development, James J. Peters VA Medical Center, Bronx, NY 10468
| | - Junhao Li
- Department of Cognitive Science, University of California San Diego, La Jolla, CA 92037
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Chet C Sherwood
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC 20052
| | - Patrick R Hof
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - John J Ely
- Alamogordo Primate Facility, Holloman Air Force Base, Alamogordo, NM 88330
| | - Michael Wegner
- Institut für Biochemie, Emil-Fischer-Zentrum, Friedrich-Alexander Universität Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Eran A Mukamel
- Department of Cognitive Science, University of California San Diego, La Jolla, CA 92037
| | - Menno P Creyghton
- Hubrecht Institute, University Medical Center Utrecht, 3584 CT Utrecht, The Netherlands;
- Department of Developmental Biology, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Eugene V Koonin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894
| | - Stella Dracheva
- Research & Development, James J. Peters VA Medical Center, Bronx, NY 10468;
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029
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22
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Rajarajan P, Akbarian S. Use of the epigenetic toolbox
to contextualize common variants associated with schizophrenia risk
. DIALOGUES IN CLINICAL NEUROSCIENCE 2020; 21:407-416. [PMID: 31949408 PMCID: PMC6952750 DOI: 10.31887/dcns.2019.21.4/sakbarian] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Schizophrenia is a debilitating psychiatric disorder with a complex genetic architecture and limited understanding of its neuropathology, reflected by the lack of diagnostic measures and effective pharmacological treatments. Geneticists have recently identified more than 145 risk loci comprising hundreds of common variants of small effect sizes, most of which lie in noncoding genomic regions. This review will discuss how the epigenetic toolbox can be applied to contextualize genetic findings in schizophrenia. Progress in next-generation sequencing, along with increasing methodological complexity, has led to the compilation of genome-wide maps of DNA methylation, histone modifications, RNA expression, and more. Integration of chromatin conformation datasets is one of the latest efforts in deciphering schizophrenia risk, allowing the identification of genes in contact with regulatory variants across 100s of kilobases. Large-scale multiomics studies will facilitate the prioritization of putative causal risk variants and gene networks that contribute to schizophrenia etiology, informing clinical diagnostics and treatment downstream.
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Affiliation(s)
- Prashanth Rajarajan
- Graduate School of Biomedical Sciences; Department of Psychiatry; Friedman Brain Institute; Icahn School of Medicine at Mount Sinai, New York, NY, US
| | - Schahram Akbarian
- Department of Psychiatry; Friedman Brain Institute; Icahn School of Medicine at Mount Sinai, New York, NY, US
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23
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Koshi-Mano K, Mano T, Morishima M, Murayama S, Tamaoka A, Tsuji S, Toda T, Iwata A. Neuron-specific analysis of histone modifications with post-mortem brains. Sci Rep 2020; 10:3767. [PMID: 32111906 PMCID: PMC7048733 DOI: 10.1038/s41598-020-60775-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 02/17/2020] [Indexed: 01/25/2023] Open
Abstract
Histone modifications govern chromatin structures and regulate gene expression to orchestrate cellular functions in the central nervous system, where neuronal cells are postmitotic and developmentally inactive, the functional and age-dependent changes also accumulate in the epigenetic states. Because the brain is composed of several types of cells, such as the neurons, glial cells, and vascular cells, the analysis of histone modifications using bulk brain tissue might obscure alterations specific to neuronal cells. Furthermore, among the various epigenetic traits, analysis of the genome-wide distribution of DNA methylation in the bulk brain is predominantly a reflection of DNA methylation of the non-neuronal cells, which may be a potential caveat of previous studies on neurodegenerative diseases using bulk brains. In this study, we established a method of neuron-specific ChIP-seq assay, which allows for the analysis of genome-wide distribution of histone modifications specifically in the neuronal cells derived from post-mortem brains. We successfully enriched neuronal information with high reproducibility and high signal-to-noise ratio. Our method will further facilitate the understanding of neurodegeneration.
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Affiliation(s)
- Kagari Koshi-Mano
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Tatsuo Mano
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Maho Morishima
- Department of Neuropathology, Tokyo Metropolitan Geriatric Hospital, 35-2 Sakaecho, Itabashi, Tokyo, 173-0015, Japan
| | - Shigeo Murayama
- Department of Neuropathology, Tokyo Metropolitan Geriatric Hospital, 35-2 Sakaecho, Itabashi, Tokyo, 173-0015, Japan
| | - Akira Tamaoka
- Department of Neurology, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
| | - Shoji Tsuji
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Tatsushi Toda
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Atsushi Iwata
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
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24
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Gegenhuber B, Tollkuhn J. Signatures of sex: Sex differences in gene expression in the vertebrate brain. WILEY INTERDISCIPLINARY REVIEWS. DEVELOPMENTAL BIOLOGY 2020; 9:e348. [PMID: 31106965 PMCID: PMC6864223 DOI: 10.1002/wdev.348] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 04/10/2019] [Accepted: 04/22/2019] [Indexed: 12/13/2022]
Abstract
Women and men differ in disease prevalence, symptoms, and progression rates for many psychiatric and neurological disorders. As more preclinical studies include both sexes in experimental design, an increasing number of sex differences in physiology and behavior have been reported. In the brain, sex-typical behaviors are thought to result from sex-specific patterns of neural activity in response to the same sensory stimulus or context. These differential firing patterns likely arise as a consequence of underlying anatomic or molecular sex differences. Accordingly, gene expression in the brains of females and males has been extensively investigated, with the goal of identifying biological pathways that specify or modulate sex differences in brain function. However, there is surprisingly little consensus on sex-biased genes across studies and only a handful of robust candidates have been pursued in the follow-up experiments. Furthermore, it is not known how or when sex-biased gene expression originates, as few studies have been performed in the developing brain. Here we integrate molecular genetic and neural circuit perspectives to provide a conceptual framework of how sex differences in gene expression can arise in the brain. We detail mechanisms of gene regulation by steroid hormones, highlight landmark studies in rodents and humans, identify emerging themes, and offer recommendations for future research. This article is categorized under: Nervous System Development > Vertebrates: General Principles Gene Expression and Transcriptional Hierarchies > Regulatory Mechanisms Gene Expression and Transcriptional Hierarchies > Sex Determination.
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Affiliation(s)
- Bruno Gegenhuber
- Watson School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
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25
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Wang Z, Liu H. Lysine methylation regulates nervous system diseases. Neuropeptides 2019; 76:101929. [PMID: 31076097 DOI: 10.1016/j.npep.2019.04.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 04/27/2019] [Accepted: 04/28/2019] [Indexed: 12/17/2022]
Abstract
Lysine methylation is an important dynamic modification which is essential in the epigenetic regulation of gene transcription. Unlike acetylation markers, lysine methylation signals at gene promoters could be viewed as markers that either activate or silence gene expression in different contexts or states. This article briefly reviews lysine methylation sites involved in nervous system diseases. The methyltransferases and demethylases which cause abnormal methylation signals in nervous system diseases are also discussed. Methylated proteins correlated with nervous system biological processes are extracted from databases and known writer-code-eraser patterns are analyzed, which could provide insight into the design of methylation-based interference peptides for the investigation of nervous system diseases.
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Affiliation(s)
- Zhen Wang
- Center for Mitochondrial Biology and Medicine, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science, Xi'an Jiaotong University, Xi'an 710049, China
| | - Huadong Liu
- Center for Mitochondrial Biology and Medicine, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science, Xi'an Jiaotong University, Xi'an 710049, China.
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26
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Jaric I, Rocks D, Greally JM, Suzuki M, Kundakovic M. Chromatin organization in the female mouse brain fluctuates across the oestrous cycle. Nat Commun 2019; 10:2851. [PMID: 31253786 PMCID: PMC6598989 DOI: 10.1038/s41467-019-10704-0] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 05/23/2019] [Indexed: 12/12/2022] Open
Abstract
Male and female brains differ significantly in both health and disease, and yet the female brain has been understudied. Sex-hormone fluctuations make the female brain particularly dynamic and are likely to confer female-specific risks for neuropsychiatric disorders. The molecular mechanisms underlying the dynamic nature of the female brain structure and function are unknown. Here we show that neuronal chromatin organization in the female ventral hippocampus of mouse fluctuates with the oestrous cycle. We find chromatin organizational changes associated with the transcriptional activity of genes important for neuronal function and behaviour. We link these chromatin dynamics to variation in anxiety-related behaviour and brain structure. Our findings implicate an immediate-early gene product, Egr1, as part of the mechanism mediating oestrous cycle-dependent chromatin and transcriptional changes. This study reveals extreme, sex-specific dynamism of the neuronal epigenome, and establishes a foundation for the development of sex-specific treatments for disorders such as anxiety and depression. The molecular mechanisms underlying the dynamic nature of the female brain structure and function remain poorly understood. Here the authors characterise chromatin organization in the mouse female ventral hippocampus, finding it fluctuates with the oestrous cycle, and identify changes in chromatin organization associated with the transcription of genes important for neuronal function and behaviour.
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Affiliation(s)
- Ivana Jaric
- Department of Biological Sciences, Fordham University, 441 E. Fordham Road, Bronx, NY, 10458, USA
| | - Devin Rocks
- Department of Biological Sciences, Fordham University, 441 E. Fordham Road, Bronx, NY, 10458, USA
| | - John M Greally
- Center for Epigenomics, Department of Genetics, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY, 10461, USA
| | - Masako Suzuki
- Center for Epigenomics, Department of Genetics, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY, 10461, USA
| | - Marija Kundakovic
- Department of Biological Sciences, Fordham University, 441 E. Fordham Road, Bronx, NY, 10458, USA.
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27
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Wang D, Liu S, Warrell J, Won H, Shi X, Navarro FCP, Clarke D, Gu M, Emani P, Yang YT, Xu M, Gandal MJ, Lou S, Zhang J, Park JJ, Yan C, Rhie SK, Manakongtreecheep K, Zhou H, Nathan A, Peters M, Mattei E, Fitzgerald D, Brunetti T, Moore J, Jiang Y, Girdhar K, Hoffman GE, Kalayci S, Gümüş ZH, Crawford GE, Roussos P, Akbarian S, Jaffe AE, White KP, Weng Z, Sestan N, Geschwind DH, Knowles JA, Gerstein MB. Comprehensive functional genomic resource and integrative model for the human brain. Science 2019; 362:362/6420/eaat8464. [PMID: 30545857 DOI: 10.1126/science.aat8464] [Citation(s) in RCA: 471] [Impact Index Per Article: 94.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 11/15/2018] [Indexed: 12/12/2022]
Abstract
Despite progress in defining genetic risk for psychiatric disorders, their molecular mechanisms remain elusive. Addressing this, the PsychENCODE Consortium has generated a comprehensive online resource for the adult brain across 1866 individuals. The PsychENCODE resource contains ~79,000 brain-active enhancers, sets of Hi-C linkages, and topologically associating domains; single-cell expression profiles for many cell types; expression quantitative-trait loci (QTLs); and further QTLs associated with chromatin, splicing, and cell-type proportions. Integration shows that varying cell-type proportions largely account for the cross-population variation in expression (with >88% reconstruction accuracy). It also allows building of a gene regulatory network, linking genome-wide association study variants to genes (e.g., 321 for schizophrenia). We embed this network into an interpretable deep-learning model, which improves disease prediction by ~6-fold versus polygenic risk scores and identifies key genes and pathways in psychiatric disorders.
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28
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Jarmasz JS, Stirton H, Davie JR, Del Bigio MR. DNA methylation and histone post-translational modification stability in post-mortem brain tissue. Clin Epigenetics 2019; 11:5. [PMID: 30635019 PMCID: PMC6330433 DOI: 10.1186/s13148-018-0596-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 12/10/2018] [Indexed: 12/11/2022] Open
Abstract
Background Epigenetic (including DNA and histone) modifications occur in a variety of neurological disorders. If epigenetic features of brain autopsy material are to be studied, it is critical to understand the post-mortem stability of the modifications. Methods Pig and mouse brain tissue were formalin-fixed and paraffin-embedded, or frozen after post-mortem delays of 0, 24, 48, and 72 h. Epigenetic modifications frequently reported in the literature were studied by DNA agarose gel electrophoresis, DNA methylation enzyme-linked immunosorbent assays, Western blotting, and immunohistochemistry. We constructed a tissue microarray of human neocortex samples with devitalization or death to fixation times ranging from < 60 min to 5 days. Results In pig and mouse brain tissue, we found that DNA cytosine modifications (5mC, 5hmC, 5fC, and 5caC) were stable for ≥ 72 h post-mortem. Histone methylation was generally stable for ≥ 48 h (H3K9me2/K9me3, H3K27me2, H3K36me3) or ≥ 72 h post-mortem (H3K4me3, H3K27me3). Histone acetylation was generally less stable. The levels of H3K9ac, H3K27ac, H4K5ac, H4K12ac, and H4K16ac declined as early as ≤ 24 h post-mortem, while the levels of H3K14ac did not change at ≥ 48 h. Immunohistochemistry showed that histone acetylation loss occurred primarily in the nuclei of large neurons, while immunoreactivity in glial cell nuclei was relatively unchanged. In the human brain tissue array, immunoreactivity for DNA cytosine modifications and histone methylation was stable, while subtle changes were apparent in histone acetylation at 4 to 5 days post-mortem. Conclusion We conclude that global epigenetic studies on human post-mortem brain tissue are feasible, but great caution is needed for selection of post-mortem delay matched controls if histone acetylation is of interest. Electronic supplementary material The online version of this article (10.1186/s13148-018-0596-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jessica S Jarmasz
- Department of Human Anatomy and Cell Science, University of Manitoba, Room 674 JBRC - 727 McDermot Avenue, Winnipeg, MB, R3E 3P4, Canada
| | - Hannah Stirton
- Max Rady College of Medicine, University of Manitoba, Room 260 Brodie Centre - 727 McDermot Avenue, Winnipeg, MB, R3E 3P5, Canada
| | - James R Davie
- Department of Biochemistry and Medical Genetics, University of Manitoba, Room 333A BMSB, 745 McDermot Avenue, Winnipeg, MB, R3E 0J9, Canada
| | - Marc R Del Bigio
- Department of Pathology, University of Manitoba, Room 401 Brodie Centre - 727 McDermot Avenue, Winnipeg, MB, R3E 3P5, Canada.
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29
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Collins BE, Greer CB, Coleman BC, Sweatt JD. Histone H3 lysine K4 methylation and its role in learning and memory. Epigenetics Chromatin 2019; 12:7. [PMID: 30616667 PMCID: PMC6322263 DOI: 10.1186/s13072-018-0251-8] [Citation(s) in RCA: 95] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 12/19/2018] [Indexed: 01/09/2023] Open
Abstract
Epigenetic modifications such as histone methylation permit change in chromatin structure without accompanying change in the underlying genomic sequence. A number of studies in animal models have shown that dysregulation of various components of the epigenetic machinery causes cognitive deficits at the behavioral level, suggesting that proper epigenetic control is necessary for the fundamental processes of learning and memory. Histone H3 lysine K4 (H3K4) methylation comprises one component of such epigenetic control, and global levels of this mark are increased in the hippocampus during memory formation. Modifiers of H3K4 methylation are needed for memory formation, shown through animal studies, and many of the same modifiers are mutated in human cognitive diseases. Indeed, all of the known H3K4 methyltransferases and four of the known six H3K4 demethylases have been associated with impaired cognition in a neurologic or psychiatric disorder. Cognitive impairment in such patients often manifests as intellectual disability, consistent with a role for H3K4 methylation in learning and memory. As a modification quintessentially, but not exclusively, associated with transcriptional activity, H3K4 methylation provides unique insights into the regulatory complexity of writing, reading, and erasing chromatin marks within an activated neuron. The following review will discuss H3K4 methylation and connect it to transcriptional events required for learning and memory within the developed nervous system. This will include an initial discussion of the most recent advances in the developing methodology to analyze H3K4 methylation, namely mass spectrometry and deep sequencing, as well as how these methods can be applied to more deeply understand the biology of this mark in the brain. We will then introduce the core enzymatic machinery mediating addition and removal of H3K4 methylation marks and the resulting epigenetic signatures of these marks throughout the neuronal genome. We next foray into the brain, discussing changes in H3K4 methylation marks within the hippocampus during memory formation and retrieval, as well as the behavioral correlates of H3K4 methyltransferase deficiency in this region. Finally, we discuss the human cognitive diseases connected to each H3K4 methylation modulator and summarize advances in developing drugs to target them.
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Affiliation(s)
- Bridget E Collins
- Department of Pharmacology, Vanderbilt University, 2220 Pierce Avenue, Nashville, TN, 37232, USA
| | - Celeste B Greer
- Department of Pharmacology, Vanderbilt University, 2220 Pierce Avenue, Nashville, TN, 37232, USA
| | - Benjamin C Coleman
- Department of Pharmacology, Vanderbilt University, 2220 Pierce Avenue, Nashville, TN, 37232, USA
| | - J David Sweatt
- Department of Pharmacology, Vanderbilt University, 2220 Pierce Avenue, Nashville, TN, 37232, USA.
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Enhanced Molecular Appreciation of Psychiatric Disorders Through High-Dimensionality Data Acquisition and Analytics. Methods Mol Biol 2019; 2011:671-723. [PMID: 31273728 DOI: 10.1007/978-1-4939-9554-7_39] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The initial diagnosis, molecular investigation, treatment, and posttreatment care of major psychiatric disorders (schizophrenia and bipolar depression) are all still significantly hindered by the current inability to define these disorders in an explicit molecular signaling manner. High-dimensionality data analytics, using large datastreams from transcriptomic, proteomic, or metabolomic investigations, will likely advance both the appreciation of the molecular nature of major psychiatric disorders and simultaneously enhance our ability to more efficiently diagnose and treat these debilitating conditions. High-dimensionality data analysis in psychiatric research has been heterogeneous in aims and methods and limited by insufficient sample sizes, poorly defined case definitions, methodological inhomogeneity, and confounding results. All of these issues combine to constrain the conclusions that can be extracted from them. Here, we discuss possibilities for overcoming methodological challenges through the implementation of transcriptomic, proteomic, or metabolomics signatures in psychiatric diagnosis and offer an outlook for future investigations. To fulfill the promise of intelligent high-dimensionality data-based differential diagnosis in mental disease diagnosis and treatment, future research will need large, well-defined cohorts in combination with state-of-the-art technologies.
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31
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Amiri A, Coppola G, Scuderi S, Wu F, Roychowdhury T, Liu F, Pochareddy S, Shin Y, Safi A, Song L, Zhu Y, Sousa AMM, Gerstein M, Crawford GE, Sestan N, Abyzov A, Vaccarino FM. Transcriptome and epigenome landscape of human cortical development modeled in organoids. Science 2018; 362:eaat6720. [PMID: 30545853 PMCID: PMC6426303 DOI: 10.1126/science.aat6720] [Citation(s) in RCA: 180] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 11/16/2018] [Indexed: 12/13/2022]
Abstract
Genes implicated in neuropsychiatric disorders are active in human fetal brain, yet difficult to study in a longitudinal fashion. We demonstrate that organoids from human pluripotent cells model cerebral cortical development on the molecular level before 16 weeks postconception. A multiomics analysis revealed differentially active genes and enhancers, with the greatest changes occurring at the transition from stem cells to progenitors. Networks of converging gene and enhancer modules were assembled into six and four global patterns of expression and activity across time. A pattern with progressive down-regulation was enriched with human-gained enhancers, suggesting their importance in early human brain development. A few convergent gene and enhancer modules were enriched in autism-associated genes and genomic variants in autistic children. The organoid model helps identify functional elements that may drive disease onset.
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Boks MP, Houtepen LC, Xu Z, He Y, Ursini G, Maihofer AX, Rajarajan P, Yu Q, Xu H, Wu Y, Wang S, Shi JP, Hulshoff Pol HE, Strengman E, Rutten BPF, Jaffe AE, Kleinman JE, Baker DG, Hol EM, Akbarian S, Nievergelt CM, De Witte LD, Vinkers CH, Weinberger DR, Yu J, Kahn RS. Genetic vulnerability to DUSP22 promoter hypermethylation is involved in the relation between in utero famine exposure and schizophrenia. NPJ SCHIZOPHRENIA 2018; 4:16. [PMID: 30131491 PMCID: PMC6104043 DOI: 10.1038/s41537-018-0058-4] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 06/29/2018] [Accepted: 07/03/2018] [Indexed: 01/27/2023]
Abstract
Epigenetic changes may account for the doubled risk to develop schizophrenia in individuals exposed to famine in utero. We therefore investigated DNA methylation in a unique sample of patients and healthy individuals conceived during the great famine in China. Subsequently, we examined two case-control samples without famine exposure in whole blood and brain tissue. To shed light on the causality of the relation between famine exposure and DNA methylation, we exposed human fibroblasts to nutritional deprivation. In the famine-exposed schizophrenia patients, we found significant hypermethylation of the dual specificity phosphatase 22 (DUSP22) gene promoter (Chr6:291687-293285) (N = 153, p = 0.01). In this sample, DUSP22 methylation was also significantly higher in patients independent of famine exposure (p = 0.025), suggesting that hypermethylation of DUSP22 is also more generally involved in schizophrenia risk. Similarly, DUSP22 methylation was also higher in two separate case-control samples not exposed to famine using DNA from whole blood (N = 64, p = 0.03) and postmortem brains (N = 214, p = 0.007). DUSP22 methylation showed strong genetic regulation across chromosomes by a region on chromosome 16 which was consistent with new 3D genome interaction data. The presence of a direct link between famine and DUSP22 transcription was supported by data from cultured human fibroblasts that showed increased methylation (p = 0.048) and expression (p = 0.019) in response to nutritional deprivation (N = 10). These results highlight an epigenetic locus that is genetically regulated across chromosomes and that is involved in the response to early-life exposure to famine and that is relevant for a major psychiatric disorder.
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Affiliation(s)
- M P Boks
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - L C Houtepen
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Z Xu
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Y He
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - G Ursini
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, USA
| | - A X Maihofer
- Department of Psychiatry, University of California, La Jolla, San Diego, CA, USA.,VA Center of Excellence for Stress and Mental Health, San Diego, CA, USA.,Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - P Rajarajan
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Q Yu
- Department of Epidemiology and Health Statistics, School of Public Health, Jilin University, Changchun, China
| | - H Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Jilin University, Changchun, China
| | - Y Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Jilin University, Changchun, China
| | - S Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Jilin University, Changchun, China
| | - J P Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Jilin University, Changchun, China
| | - H E Hulshoff Pol
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - E Strengman
- Molecular Pathology, Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - B P F Rutten
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - A E Jaffe
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, USA
| | - J E Kleinman
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, USA
| | - D G Baker
- Department of Psychiatry, University of California, La Jolla, San Diego, CA, USA.,VA Center of Excellence for Stress and Mental Health, San Diego, CA, USA.,Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - E M Hol
- Brain Center Rudolf Magnus, Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - S Akbarian
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, USA
| | - C M Nievergelt
- Department of Psychiatry, University of California, La Jolla, San Diego, CA, USA.,VA Center of Excellence for Stress and Mental Health, San Diego, CA, USA.,Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - L D De Witte
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C H Vinkers
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - D R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, USA
| | - J Yu
- Department of Epidemiology and Health Statistics, School of Public Health, Jilin University, Changchun, China
| | - R S Kahn
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands.,Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, USA
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Girdhar K, Hoffman GE, Jiang Y, Brown L, Kundakovic M, Hauberg ME, Francoeur NJ, Wang YC, Shah H, Kavanagh DH, Zharovsky E, Jacobov R, Wiseman JR, Park R, Johnson JS, Kassim BS, Sloofman L, Mattei E, Weng Z, Sieberts SK, Peters MA, Harris BT, Lipska BK, Sklar P, Roussos P, Akbarian S. Cell-specific histone modification maps in the human frontal lobe link schizophrenia risk to the neuronal epigenome. Nat Neurosci 2018; 21:1126-1136. [PMID: 30038276 PMCID: PMC6063773 DOI: 10.1038/s41593-018-0187-0] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 05/25/2018] [Indexed: 12/13/2022]
Abstract
Risk variants for schizophrenia affect more than 100 genomic loci, yet cell- and tissue-specific roles underlying disease liability remain poorly characterized. We have generated for two cortical areas implicated in psychosis, the dorsolateral prefrontal cortex and anterior cingulate cortex, 157 reference maps from neuronal, neuron-depleted and bulk tissue chromatin for two histone marks associated with active promoters and enhancers, H3-trimethyl-Lys4 (H3K4me3) and H3-acetyl-Lys27 (H3K27ac). Differences between neuronal and neuron-depleted chromatin states were the major axis of variation in histone modification profiles, followed by substantial variability across subjects and cortical areas. Thousands of significant histone quantitative trait loci were identified in neuronal and neuron-depleted samples. Risk variants for schizophrenia, depressive symptoms and neuroticism were significantly over-represented in neuronal H3K4me3 and H3K27ac landscapes. Our Resource, sponsored by PsychENCODE and CommonMind, highlights the critical role of cell-type-specific signatures at regulatory and disease-associated noncoding sequences in the human frontal lobe.
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Affiliation(s)
- Kiran Girdhar
- Department of Genetics and Genomic Sciences, Icahn Institute of Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gabriel E Hoffman
- Department of Genetics and Genomic Sciences, Icahn Institute of Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Yan Jiang
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Leanne Brown
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marija Kundakovic
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - Mads E Hauberg
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Nancy J Francoeur
- Department of Genetics and Genomic Sciences, Icahn Institute of Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ying-Chih Wang
- Department of Genetics and Genomic Sciences, Icahn Institute of Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hardik Shah
- Department of Genetics and Genomic Sciences, Icahn Institute of Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David H Kavanagh
- Department of Genetics and Genomic Sciences, Icahn Institute of Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elizabeth Zharovsky
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rivka Jacobov
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jennifer R Wiseman
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Royce Park
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jessica S Johnson
- Department of Genetics and Genomic Sciences, Icahn Institute of Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bibi S Kassim
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura Sloofman
- Department of Genetics and Genomic Sciences, Icahn Institute of Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eugenio Mattei
- Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Zhiping Weng
- Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA, USA
| | | | | | - Brent T Harris
- Department of Neurology, Georgetown University, Washington, DC, USA
- Human Brain Collection Core, NIMH, Bethesda, MD, USA
| | | | - Pamela Sklar
- Department of Genetics and Genomic Sciences, Icahn Institute of Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Panos Roussos
- Department of Genetics and Genomic Sciences, Icahn Institute of Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Mental Illness Research, Education, and Clinical Center, James J. Peters VA Medical Center, Bronx, NY, USA.
| | - Schahram Akbarian
- Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Mente K, Edwards NA, Urbano D, Ray-Chaudhury A, Iacono D, Di Lorenzo Alho AT, Lopes Alho EJ, Amaro E, Horovitz SG, Hallett M. Pedunculopontine Nucleus Cholinergic Deficiency in Cervical Dystonia. Mov Disord 2018; 33:827-834. [PMID: 29508906 PMCID: PMC7299544 DOI: 10.1002/mds.27358] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 01/23/2018] [Accepted: 01/24/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The etiology of cervical dystonia is unknown. Cholinergic abnormalities have been identified in dystonia animal models and human imaging studies. Some animal models have cholinergic neuronal loss in the striatum and increased acetylcholinesterase activity in the pedunculopontine nucleus. OBJECTIVES The objective of this study was to determine the presence of cholinergic abnormalities in the putamen and pedunculopontine nucleus in cervical dystonia human brain donors. METHODS Formalin-fixed brain tissues were obtained from 8 cervical dystonia and 7 age-matched control brains (controls). Pedunculopontine nucleus was available in only 6 cervical dystonia and 5 controls. Neurodegeneration was evaluated pathologically in the putamen, pedunculopontine nucleus, and other regions. Cholinergic neurons were detected using choline acetyltransferase immunohistochemistry in the putamen and pedunculopontine nucleus. Putaminal cholinergic neurons were quantified. A total of 6 cervical dystonia patients and 6 age-matched healthy controls underwent diffusion tensor imaging to determine if there were white matter microstructural abnormalities around the pedunculopontine nucleus. RESULTS Decreased or absent choline acetyltransferase staining was identified in all 6 pedunculopontine nucleus samples in cervical dystonia. In contrast, strong choline acetyltransferase staining was present in 4 of 5 pedunculopontine nucleus controls. There were no differences in pedunculopontine nucleus diffusion tensor imaging between cervical dystonia and healthy controls. There was no difference in numbers of putaminal cholinergic neurons between cervical dystonia and controls. CONCLUSIONS Our findings suggest that pedunculopontine nucleus choline acetyltransferase deficiency represents a functional cholinergic deficit in cervical dystonia. Structural lesions and confounding neurodegenerative processes were excluded by absence of neuronal loss, gliosis, diffusion tensor imaging abnormalities, and beta-amyloid, tau, and alpha-synuclein pathologies. © 2018 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Karin Mente
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, USA
| | - Nancy A. Edwards
- Neuropathology Unit, Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Demelio Urbano
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA
| | - Abhik Ray-Chaudhury
- Neuropathology Unit, Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Diego Iacono
- Neuropathology Core and Brain Tissue Repository, Center for Neuroscience and Regenerative Medicine, Uniform Services University, Bethesda, MD, USA
- Departments of Neurology and Pathology, F. Edward Hébert School of Medicine, Uniformed, Services University, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Research, Bethesda, MD, USA
| | - Ana Tereza Di Lorenzo Alho
- Hospital Israelita Albert Einstein, Instituto do Cérebro, São Paulo, Brazil
- Department of Radiology, Faculdade de Medicina da Universidade de São Paulo, Instituto de Radiologia, São Paulo, Brazil
- Department of Pathology, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Eduardo Joaquim Lopes Alho
- Department of Neurology, Faculdade de Medicina da Universidade de São Paulo, Divisão de Neurocirurgia Funcional do Instituto de Psiquiatria-HCFMUSP, São Paulo, Brazil
| | - Edson Amaro
- Hospital Israelita Albert Einstein, Instituto do Cérebro, São Paulo, Brazil
- Department of Radiology, Faculdade de Medicina da Universidade de São Paulo, Instituto de Radiologia, São Paulo, Brazil
| | - Silvina G. Horovitz
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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35
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Kundakovic M. Sex-Specific Epigenetics: Implications for Environmental Studies of Brain and Behavior. Curr Environ Health Rep 2018; 4:385-391. [PMID: 28986864 DOI: 10.1007/s40572-017-0172-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW This review discusses the current state of knowledge on sex differences in the epigenetic regulation in the brain and highlights its relevance for the environmental studies of brain and behavior. RECENT FINDINGS Recent evidence shows that epigenetic mechanisms are involved in the control of brain sexual differentiation and in memory-enhancing effects of estradiol in females. In addition, several studies have implicated epigenetic dysregulation as an underlying mechanism for sex-specific neurobehavioral effects of environmental exposures. The area of sex-specific neurepigenetics has a great potential to improve our understanding of brain function in health and disease. Future neuropigenetic studies will require the inclusion of males and females and would ideally account for the fluctuating hormonal status in females which is likely to affect the epigenome. The implementation of cutting-edge methods that include epigenomic characterization of specific cell types using latest next-generation sequencing approaches will further advance the area.
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Affiliation(s)
- Marija Kundakovic
- Department of Biological Sciences, Fordham University, 441 E. Fordham Road, Larkin Hall, Room 160, Bronx, NY, 10458, USA.
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36
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Fullard JF, Giambartolomei C, Hauberg ME, Xu K, Voloudakis G, Shao Z, Bare C, Dudley JT, Mattheisen M, Robakis NK, Haroutunian V, Roussos P. Open chromatin profiling of human postmortem brain infers functional roles for non-coding schizophrenia loci. Hum Mol Genet 2017; 26:1942-1951. [PMID: 28335009 DOI: 10.1093/hmg/ddx103] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2017] [Accepted: 03/10/2017] [Indexed: 01/03/2023] Open
Abstract
Open chromatin provides access to DNA-binding proteins for the correct spatiotemporal regulation of gene expression. Mapping chromatin accessibility has been widely used to identify the location of cis regulatory elements (CREs) including promoters and enhancers. CREs show tissue- and cell-type specificity and disease-associated variants are often enriched for CREs in the tissues and cells that pertain to a given disease. To better understand the role of CREs in neuropsychiatric disorders we applied the Assay for Transposase Accessible Chromatin followed by sequencing (ATAC-seq) to neuronal and non-neuronal nuclei isolated from frozen postmortem human brain by fluorescence-activated nuclear sorting (FANS). Most of the identified open chromatin regions (OCRs) are differentially accessible between neurons and non-neurons, and show enrichment with known cell type markers, promoters and enhancers. Relative to those of non-neurons, neuronal OCRs are more evolutionarily conserved and are enriched in distal regulatory elements. Transcription factor (TF) footprinting analysis identifies differences in the regulome between neuronal and non-neuronal cells and ascribes putative functional roles to a number of non-coding schizophrenia (SCZ) risk variants. Among the identified variants is a Single Nucleotide Polymorphism (SNP) proximal to the gene encoding SNX19. In vitro experiments reveal that this SNP leads to an increase in transcriptional activity. As elevated expression of SNX19 has been associated with SCZ, our data provide evidence that the identified SNP contributes to disease. These results represent the first analysis of OCRs and TF-binding sites in distinct populations of postmortem human brain cells and further our understanding of the regulome and the impact of neuropsychiatric disease-associated genetic risk variants.
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Affiliation(s)
- John F Fullard
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Claudia Giambartolomei
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mads E Hauberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Biomedicine.,Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark.,The Lundbeck Foundation Initiative of Integrative Psychiatric Research (iPSYCH), Denmark
| | - Ke Xu
- Department of Genetics and Genomic Science and Institute for Multiscale Biology
| | - Georgios Voloudakis
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Zhiping Shao
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Neuroscience.,Center for Molecular Biology and Genetics of Neurodegeneration
| | - Christopher Bare
- Flow Cytometry Center of Research Excellence, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Joel T Dudley
- Department of Genetics and Genomic Science and Institute for Multiscale Biology
| | - Manuel Mattheisen
- Department of Biomedicine.,Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark.,The Lundbeck Foundation Initiative of Integrative Psychiatric Research (iPSYCH), Denmark
| | - Nikolaos K Robakis
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Neuroscience.,Center for Molecular Biology and Genetics of Neurodegeneration
| | - Vahram Haroutunian
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Neuroscience.,Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Panos Roussos
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Genetics and Genomic Science and Institute for Multiscale Biology.,Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, NY, USA
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37
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Jiang Y, Loh YHE, Rajarajan P, Hirayama T, Liao W, Kassim BS, Javidfar B, Hartley BJ, Kleofas L, Park RB, Labonte B, Ho SM, Chandrasekaran S, Do C, Ramirez BR, Peter CJ, C W JT, Safaie BM, Morishita H, Roussos P, Nestler EJ, Schaefer A, Tycko B, Brennand KJ, Yagi T, Shen L, Akbarian S. The methyltransferase SETDB1 regulates a large neuron-specific topological chromatin domain. Nat Genet 2017; 49:1239-1250. [PMID: 28671686 PMCID: PMC5560095 DOI: 10.1038/ng.3906] [Citation(s) in RCA: 98] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 06/05/2017] [Indexed: 12/14/2022]
Abstract
We report locus-specific disintegration of megabase-scale chromosomal conformations in brain after neuronal ablation of Kmt1e/Setdb1 histone H3-lysine 9 methyltransferase, including a large topologically associated 1.2Mb domain conserved in human and mouse and encompassing >70 genes at the clustered Protocadherin (cPcdh) locus. TADcPcdh in mutant neurons showed abnormal accumulations of CTCF transcriptional regulator and 3D genome organizer at cryptic binding sites, converted into permissive state with DNA cytosine hypomethylation and histone hyperacetylation. Broadly upregulated expression across cPcdh included defective S-type Protocadherin single-cell stochastic constraint. Setdb1-dependent loop formations, bypassing 0.2–1Mb of linear genome, radiated from TADPcdh fringes towards cPcdh cis-regulatory sequences, counterbalanced shorter-range facilitative promoter-enhancer contacts and carried loop-bound polymorphisms associated with genetic risk for schizophrenia. We show that KRAB-zinc finger Setdb1 repressor complex, shielding neuronal 3D genomes from excess CTCF binding, is critically required for structural maintenance of TADcPcdh.
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Affiliation(s)
- Yan Jiang
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Yong-Hwee Eddie Loh
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Prashanth Rajarajan
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Teruyoshi Hirayama
- Kokoro-Biology Group, Laboratories for Integrated Biology, Graduate School of Frontier Biosciences, Osaka University, Suita, Japan
| | - Will Liao
- New York Genome Center, New York, New York, USA
| | - Bibi S Kassim
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Behnam Javidfar
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Brigham J Hartley
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lisa Kleofas
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Royce B Park
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Benoit Labonte
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Seok-Man Ho
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sandhya Chandrasekaran
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Catherine Do
- Institute for Cancer Genetics, Department of Pathology and Cell Biology, Columbia University, New York, New York, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University, New York, New York, USA
| | - Brianna R Ramirez
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Cyril J Peter
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Julia T C W
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Brian M Safaie
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Hirofumi Morishita
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Panos Roussos
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Mental Illness Research, Education and Clinical Center, James J. Peters Virginia Medical Center, New York, New York, USA
| | - Eric J Nestler
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Anne Schaefer
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Benjamin Tycko
- Institute for Cancer Genetics, Department of Pathology and Cell Biology, Columbia University, New York, New York, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University, New York, New York, USA
| | - Kristen J Brennand
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Takeshi Yagi
- Kokoro-Biology Group, Laboratories for Integrated Biology, Graduate School of Frontier Biosciences, Osaka University, Suita, Japan
| | - Li Shen
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Schahram Akbarian
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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38
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The Epigenetic Link between Prenatal Adverse Environments and Neurodevelopmental Disorders. Genes (Basel) 2017; 8:genes8030104. [PMID: 28335457 PMCID: PMC5368708 DOI: 10.3390/genes8030104] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 03/08/2017] [Accepted: 03/12/2017] [Indexed: 12/12/2022] Open
Abstract
Prenatal adverse environments, such as maternal stress, toxicological exposures, and viral infections, can disrupt normal brain development and contribute to neurodevelopmental disorders, including schizophrenia, depression, and autism. Increasing evidence shows that these short- and long-term effects of prenatal exposures on brain structure and function are mediated by epigenetic mechanisms. Animal studies demonstrate that prenatal exposure to stress, toxins, viral mimetics, and drugs induces lasting epigenetic changes in the brain, including genes encoding glucocorticoid receptor (Nr3c1) and brain-derived neurotrophic factor (Bdnf). These epigenetic changes have been linked to changes in brain gene expression, stress reactivity, and behavior, and often times, these effects are shown to be dependent on the gestational window of exposure, sex, and exposure level. Although evidence from human studies is more limited, gestational exposure to environmental risks in humans is associated with epigenetic changes in peripheral tissues, and future studies are required to understand whether we can use peripheral biomarkers to predict neurobehavioral outcomes. An extensive research effort combining well-designed human and animal studies, with comprehensive epigenomic analyses of peripheral and brain tissues over time, will be necessary to improve our understanding of the epigenetic basis of neurodevelopmental disorders.
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39
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Jeffries AR, Mill J. Profiling Regulatory Variation in the Brain: Methods for Exploring the Neuronal Epigenome. Biol Psychiatry 2017; 81:90-91. [PMID: 27938879 DOI: 10.1016/j.biopsych.2016.10.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 10/20/2016] [Indexed: 11/17/2022]
Affiliation(s)
- Aaron R Jeffries
- University of Exeter Medical School, University of Exeter, Exeter, United Kingdom
| | - Jonathan Mill
- University of Exeter Medical School, University of Exeter, Exeter, United Kingdom.
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