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Schwab K, Riege K, Coronel L, Stanko C, Förste S, Hoffmann S, Fischer M. p53 target ANKRA2 cooperates with RFX7 to regulate tumor suppressor genes. Cell Death Discov 2024; 10:376. [PMID: 39181888 PMCID: PMC11344851 DOI: 10.1038/s41420-024-02149-2] [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: 05/04/2024] [Revised: 08/07/2024] [Accepted: 08/14/2024] [Indexed: 08/27/2024] Open
Abstract
The transcription factor regulatory factor X 7 (RFX7) has been identified as a tumor suppressor that is recurrently mutated in lymphoid cancers and appears to be dysregulated in many other cancers. RFX7 is activated by the well-known tumor suppressor p53 and regulates several other known tumor suppressor genes. However, what other factors regulate RFX7 and its target genes remains unclear. Here, reporter gene assays were used to identify that RFX7 regulates the tumor suppressor gene PDCD4 through direct interaction with its X-box promoter motif. We utilized mass spectrometry to identify factors that bind to DNA together with RFX7. In addition to RFX7, we also identified RFX5, RFXAP, RFXANK, and ANKRA2 that bind to the X-box motif in the PDCD4 promoter. We demonstrate that ANKRA2 is a bona fide direct p53 target gene. We used transcriptome analyses in two cell systems to identify genes regulated by ANKRA2, its sibling RFXANK, and RFX7. These results revealed that ANKRA2 functions as a critical cofactor of RFX7, whereas RFXANK regulates largely distinct gene sets.
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Affiliation(s)
- Katjana Schwab
- Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Konstantin Riege
- Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Luis Coronel
- Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Clara Stanko
- Klinik für Innere Medizin II, Jena University Hospital, Comprehensive Cancer Center Central Germany, Jena, Germany
- Institute of Molecular Cell Biology, Center for Molecular Biomedicine Jena (CMB), Jena University Hospital, Jena, Germany
| | - Silke Förste
- Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Steve Hoffmann
- Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.
| | - Martin Fischer
- Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.
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Feng Y, Flanagan ME, Bonakdarpour B, Jamshidi P, Castellani RJ, Mao Q, Chu X, Gao H, Liu Y, Xu J, Hou Y, Martin W, Nelson PT, Leverenz JB, Pieper AA, Cummings J, Cheng F. Single-nucleus multiome analysis of human cerebellum in Alzheimer's disease-related dementia. RESEARCH SQUARE 2024:rs.3.rs-4871032. [PMID: 39184089 PMCID: PMC11343296 DOI: 10.21203/rs.3.rs-4871032/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
Although human cerebellum is known to be neuropathologically impaired in Alzheimer's disease (AD) and AD-related dementias (ADRD), the cell type-specific transcriptional and epigenomic changes that contribute to this pathology are not well understood. Here, we report single-nucleus multiome (snRNA-seq and snATAC-seq) analysis of 103,861 nuclei isolated from cerebellum from 9 human cases of AD/ADRD and 8 controls, and with frontal cortex of 6 AD donors for additional comparison. Using peak-to-gene linkage analysis, we identified 431,834 significant linkages between gene expression and cell subtype-specific chromatin accessibility regions enriched for candidate cis-regulatory elements (cCREs). These cCREs were associated with AD/ADRD-specific transcriptomic changes and disease-related gene regulatory networks, especially for RAR Related Orphan Receptor A (RORA) and E74 Like ETS Transcription Factor 1 (ELF1) in cerebellar Purkinje cells and granule cells, respectively. Trajectory analysis of granule cell populations further identified disease-relevant transcription factors, such as RORA, and their regulatory targets. Finally, we prioritized two likely causal genes, including Seizure Related 6 Homolog Like 2 (SEZ6L2) in Purkinje cells and KAT8 Regulatory NSL Complex Subunit 1 (KANSL1) in granule cells, through integrative analysis of cCREs derived from snATAC-seq, genome-wide AD/ADRD loci, and Hi-C looping data. This first cell subtype-specific regulatory landscape in the human cerebellum identified here offer novel genomic and epigenomic insights into the neuropathology and pathobiology of AD/ADRD and other neurological disorders if broadly applied.
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Affiliation(s)
- Yayan Feng
- Cleveland Clinic Genome Center, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Margaret E Flanagan
- Biggs Institute, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
- Department of Pathology, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
| | - Borna Bonakdarpour
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Ken and Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Pouya Jamshidi
- Department of Pathology and Northwestern Alzheimer Disease Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rudolph J. Castellani
- Department of Pathology and Northwestern Alzheimer Disease Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Qinwen Mao
- Department of Pathology, University of Utah, Salt Lake City, Utah, USA
| | - Xiaona Chu
- Department of Medical and Molecular Genetics, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Hongyu Gao
- Department of Medical and Molecular Genetics, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Yunlong Liu
- Department of Medical and Molecular Genetics, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jielin Xu
- Cleveland Clinic Genome Center, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Yuan Hou
- Cleveland Clinic Genome Center, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - William Martin
- Cleveland Clinic Genome Center, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Peter T Nelson
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, Kentucky, USA
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
| | - James B. Leverenz
- Lou Ruvo Center for Brain Health, Neurological Institute, Cleveland Clinic, Cleveland, Ohio 44195, USA
| | - Andrew A. Pieper
- Helen and Robert Appel Alzheimer’s Disease Research Institute, Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH 44106, USA
- Brain Health Medicines Center, Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA
- Geriatric Psychiatry, GRECC, Louis Stokes Cleveland VA Medical Center; Cleveland, OH 44106, USA
- Institute for Transformative Molecular Medicine, School of Medicine, Case Western Reserve University, Cleveland 44106, OH, USA
- Department of Pathology, Case Western Reserve University, School of Medicine, Cleveland, OH 44106, USA
- Department of Neurosciences, Case Western Reserve University, School of Medicine, Cleveland, OH 44106, USA
| | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, UNLV, Las Vegas, Nevada 89154, USA
| | - Feixiong Cheng
- Cleveland Clinic Genome Center, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
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3
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Oh JW, Beer MA. Gapped-kmer sequence modeling robustly identifies regulatory vocabularies and distal enhancers conserved between evolutionarily distant mammals. Nat Commun 2024; 15:6464. [PMID: 39085231 PMCID: PMC11291912 DOI: 10.1038/s41467-024-50708-z] [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: 10/27/2023] [Accepted: 07/17/2024] [Indexed: 08/02/2024] Open
Abstract
Gene regulatory elements drive complex biological phenomena and their mutations are associated with common human diseases. The impacts of human regulatory variants are often tested using model organisms such as mice. However, mapping human enhancers to conserved elements in mice remains a challenge, due to both rapid enhancer evolution and limitations of current computational methods. We analyze distal enhancers across 45 matched human/mouse cell/tissue pairs from a comprehensive dataset of DNase-seq experiments, and show that while cell-specific regulatory vocabulary is conserved, enhancers evolve more rapidly than promoters and CTCF binding sites. Enhancer conservation rates vary across cell types, in part explainable by tissue specific transposable element activity. We present an improved genome alignment algorithm using gapped-kmer features, called gkm-align, and make genome wide predictions for 1,401,803 orthologous regulatory elements. We show that gkm-align discovers 23,660 novel human/mouse conserved enhancers missed by previous algorithms, with strong evidence of conserved functional activity.
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Affiliation(s)
- Jin Woo Oh
- Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Michael A Beer
- Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA.
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Sisroe T, Santos AD, Rippert AL, Gray C, Skraban CM, Nelson B, Tefft S, Helbig I, Li D, Bhoj EJ, Sobering AK. Expanding the clinical phenotype and variant spectrum associated with RFX7. Am J Med Genet A 2024:e63816. [PMID: 39007708 DOI: 10.1002/ajmg.a.63816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 06/26/2024] [Accepted: 07/04/2024] [Indexed: 07/16/2024]
Abstract
RFX7 encodes a transcription factor that is ubiquitously expressed and important for neural development. Haploinsufficiency of RFX7 is associated with intellectual disability, developmental delay, and diverse malformations of brain structures. Currently, there are only 16 clinically described individuals who have variants in RFX7. A recognizable pattern of malformation associated with mutation in RFX7 has not yet been uncovered. Here we describe the phenotypic presentation of two additional individuals who have novel de novo variants in RFX7. One of the individuals we describe is from an under-represented Afro-Caribbean population.
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Affiliation(s)
- Talia Sisroe
- AU/UGA Medical Partnership of the Medical College of Georgia, University of Georgia Health Sciences Campus, Athens, Georgia, USA
| | - Attila Dos Santos
- AU/UGA Medical Partnership of the Medical College of Georgia, University of Georgia Health Sciences Campus, Athens, Georgia, USA
| | - Alyssa L Rippert
- Division of Human Genetics, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Christopher Gray
- Division of Human Genetics, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Cara M Skraban
- Division of Human Genetics, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Beverly Nelson
- Clinical Teaching Unit, St. George's University School of Medicine, St. George's, Grenada
| | - Sarah Tefft
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- The Epilepsy NeuroGenetics Initiative (ENGIN), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Ingo Helbig
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- The Epilepsy NeuroGenetics Initiative (ENGIN), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Dong Li
- Division of Human Genetics, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Elizabeth J Bhoj
- Division of Human Genetics, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Andrew K Sobering
- AU/UGA Medical Partnership of the Medical College of Georgia, University of Georgia Health Sciences Campus, Athens, Georgia, USA
- Department of Biochemistry, St. George's University School of Medicine, St. George's, Grenada
- Windward Islands Research and Education Foundation, True Blue, St. George's, Grenada
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5
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Kim JH, Koh IG, Lee H, Lee GH, Song DY, Kim SW, Kim Y, Han JH, Bong G, Lee J, Byun H, Son JH, Kim YR, Lee Y, Kim JJ, Park JW, Kim IB, Choi JK, Jang JH, Trost B, Lee J, Kim E, Yoo HJ, An JY. Short tandem repeat expansions in cortical layer-specific genes implicate in phenotypic severity and adaptability of autism spectrum disorder. Psychiatry Clin Neurosci 2024; 78:405-415. [PMID: 38751214 DOI: 10.1111/pcn.13676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 02/14/2024] [Accepted: 04/15/2024] [Indexed: 07/06/2024]
Abstract
AIM Short tandem repeats (STRs) are repetitive DNA sequences and highly mutable in various human disorders. While the involvement of STRs in various genetic disorders has been extensively studied, their role in autism spectrum disorder (ASD) remains largely unexplored. In this study, we aimed to investigate genetic association of STR expansions with ASD using whole genome sequencing (WGS) and identify risk loci associated with ASD phenotypes. METHODS We analyzed WGS data of 634 ASD families and performed genome-wide evaluation for 12,929 STR loci. We found rare STR expansions that exceeded normal repeat lengths in autism cases compared to unaffected controls. By integrating single cell RNA and ATAC sequencing datasets of human postmortem brains, we prioritized STR loci in genes specifically expressed in cortical development stages. A deep learning method was used to predict functionality of ASD-associated STR loci. RESULTS In ASD cases, rare STR expansions predominantly occurred in early cortical layer-specific genes involved in neurodevelopment, highlighting the cellular specificity of STR-associated genes in ASD risk. Leveraging deep learning prediction models, we demonstrated that these STR expansions disrupted the regulatory activity of enhancers and promoters, suggesting a potential mechanism through which they contribute to ASD pathogenesis. We found that individuals with ASD-associated STR expansions exhibited more severe ASD phenotypes and diminished adaptability compared to non-carriers. CONCLUSION Short tandem repeat expansions in cortical layer-specific genes are associated with ASD and could potentially be a risk genetic factor for ASD. Our study is the first to show evidence of STR expansion associated with ASD in an under-investigated population.
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Affiliation(s)
- Jae Hyun Kim
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - In Gyeong Koh
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - Hyeji Lee
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - Gang-Hee Lee
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - Da-Yea Song
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Soo-Whee Kim
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - Yujin Kim
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
| | - Jae Hyun Han
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, College of Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea
| | - Guiyoung Bong
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jeewon Lee
- Department of Psychiatry, Soonchunhyang University College of Medicine, Asan, Republic of Korea
| | - Heejung Byun
- Department of Neuropsychiatry, Seoul Metropolitan Children's Hospital, Seoul, Republic of Korea
| | - Ji Hyun Son
- Department of Neuropsychiatry, Seoul Metropolitan Children's Hospital, Seoul, Republic of Korea
| | - Ye Rim Kim
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yoojeong Lee
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Justine Jaewon Kim
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jung Woo Park
- Center for Biomedical Computing, Division of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
| | - Il Bin Kim
- Department of Psychiatry, Hanyang University Guri Hospital, Guri, Republic of Korea
| | - Jung Kyoon Choi
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Ja-Hyun Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Brett Trost
- Molecular Medicine Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Junehawk Lee
- Center for Biomedical Computing, Division of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
| | - Eunjoon Kim
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon, Republic of Korea
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Hee Jeong Yoo
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Joon-Yong An
- Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea
- L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea
- School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, Republic of Korea
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Chapman G, Determan J, Jetter H, Kaushik K, Prakasam R, Kroll KL. Defining cis-regulatory elements and transcription factors that control human cortical interneuron development. iScience 2024; 27:109967. [PMID: 38827400 PMCID: PMC11140214 DOI: 10.1016/j.isci.2024.109967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/08/2024] [Accepted: 05/09/2024] [Indexed: 06/04/2024] Open
Abstract
Although human cortical interneurons (cINs) are a minority population in the cerebral cortex, disruption of interneuron development is a frequent contributor to neurodevelopmental disorders. Here, we utilized a model for deriving cINs from human embryonic stem cells to profile chromatin state changes and generate an atlas of cis-regulatory elements (CREs) controlling human cIN development. We used these data to define candidate transcription factors (TFs) that may bind these CREs to regulate interneuron progenitor specification. Among these were RFX3 and RFX4, risk genes for autism spectrum disorder (ASD) with uncharacterized roles in human neuronal development. Using RFX3 and RFX4 knockdown models, we demonstrated new requirements for both genes in interneuron progenitor specification, with RFX3 deficiency causing precocious neuronal differentiation while RFX4 deficiency instead resulted in cessation of progenitor cell proliferation. Together, this work both defined central features of cis-regulatory control and identified new TF requirements for human interneuron development.
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Affiliation(s)
- Gareth Chapman
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Julianna Determan
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Haley Jetter
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Komal Kaushik
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ramachandran Prakasam
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kristen L. Kroll
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
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Wang Y, Wang Y, Tang J, Li R, Jia Y, Yang H, Wei H. Impaired neural circuitry of hippocampus in Pax2 nervous system-specific knockout mice leads to restricted repetitive behaviors. CNS Neurosci Ther 2024; 30:e14482. [PMID: 37786962 PMCID: PMC11017408 DOI: 10.1111/cns.14482] [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: 07/07/2023] [Revised: 09/15/2023] [Accepted: 09/19/2023] [Indexed: 10/04/2023] Open
Abstract
INTRODUCTION Restricted repetitive behaviors (RRBs), which are associated with many different neurological and mental disorders, such as obsessive-compulsive disorder (OCD) and autism, are patterns of behavior with little variation and little obvious function. Paired Box 2 (Pax2) is a transcription factor that is expressed in many systems, including the kidney and the central nervous system. The protein that is encoded by Pax2 has been implicated in the development of the nervous system and neurodevelopmental disorders. In our previous study, Pax2 heterozygous gene knockout mice (Pax2+/- mice) showed abnormally increased self-grooming and impaired learning and memory abilities. However, it remains unclear which cell type is involved in this process. In this study, we deleted Pax2 only in the nervous system to determine the regulatory mechanism of Pax2 in RRBs. METHODS In this study, Pax2 nervous system-specific knockout mice (Nestin-Pax2 mice) aged 6-8 weeks and Pax2 flox mice of the same age were recruited as the experimental group. Tamoxifen and vehicle were administered via intraperitoneal injection to induce Pax2 knockout after gene identification. Western blotting was used to detect Pax2 expression. After that, we assessed the general health of these two groups of mice. The self-grooming test, marble burying test and T-maze acquisition and reversal learning test were used to observe the lower-order and higher-order RRBs. The three-chamber test, Y-maze, and elevated plus-maze were used to assess social ability, spatial memory ability, and anxiety. Neural circuitry tracing and transcriptome sequencing (RNA-seq) were used to observe the abnormal neural circuitry, differentially expressed genes (DEGs) and signaling pathways affected by Pax2 gene knockout in the nervous system and the putative molecular mechanism. RESULTS (1) The Nestin-Pax2 mouse model was successfully constructed, and the Nestin-Pax2 mice showed decreased expression of Pax2. (2) Nestin-Pax2 mice showed increased self-grooming behavior and impaired T-maze reversal behavior compared with Pax2 flox mice. (3) An increased number of projection fibers can be found in the mPFC projecting to the CA1 and BLA, and a reduction in IGFBP2 can be found in the hippocampus of Nestin-Pax2 mice. CONCLUSION The results demonstrated that loss of Pax2 in the nervous system leads to restricted repetitive behaviors. The mechanism may be associated with impaired neural circuitry and a reduction in IGFBP2.
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Affiliation(s)
- Ying Wang
- Department of Neurology, Shanxi Provincial People's HospitalThe Fifth Clinical Medical College of Shanxi Medical UniversityTaiyuanChina
| | - Yizhuo Wang
- Department of Neurology, Shanxi Provincial People's HospitalThe Fifth Clinical Medical College of Shanxi Medical UniversityTaiyuanChina
- Shanxi Key Laboratory of Brain Disease ControlShanxi Provincial People's HospitalTaiyuanChina
| | - Jiaming Tang
- School of the Third ClinicShanxi University of Chinese MedicineTaiyuanChina
| | - Rui Li
- Department of Neurology, Shanxi Provincial People's HospitalThe Fifth Clinical Medical College of Shanxi Medical UniversityTaiyuanChina
| | - Yanan Jia
- Department of Neurology, Shanxi Provincial People's HospitalThe Fifth Clinical Medical College of Shanxi Medical UniversityTaiyuanChina
| | - Hua Yang
- Department of Neurology, Shanxi Provincial People's HospitalThe Fifth Clinical Medical College of Shanxi Medical UniversityTaiyuanChina
- Shanxi Key Laboratory of Brain Disease ControlShanxi Provincial People's HospitalTaiyuanChina
| | - Hongen Wei
- Department of Neurology, Shanxi Provincial People's HospitalThe Fifth Clinical Medical College of Shanxi Medical UniversityTaiyuanChina
- Shanxi Key Laboratory of Brain Disease ControlShanxi Provincial People's HospitalTaiyuanChina
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8
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Coschiera A, Yoshihara M, Lauter G, Ezer S, Pucci M, Li H, Kavšek A, Riedel CG, Kere J, Swoboda P. Primary cilia promote the differentiation of human neurons through the WNT signaling pathway. BMC Biol 2024; 22:48. [PMID: 38413974 PMCID: PMC10900739 DOI: 10.1186/s12915-024-01845-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 02/12/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Primary cilia emanate from most human cell types, including neurons. Cilia are important for communicating with the cell's immediate environment: signal reception and transduction to/from the ciliated cell. Deregulation of ciliary signaling can lead to ciliopathies and certain neurodevelopmental disorders. In the developing brain cilia play well-documented roles for the expansion of the neural progenitor cell pool, while information about the roles of cilia during post-mitotic neuron differentiation and maturation is scarce. RESULTS We employed ciliated Lund Human Mesencephalic (LUHMES) cells in time course experiments to assess the impact of ciliary signaling on neuron differentiation. By comparing ciliated and non-ciliated neuronal precursor cells and neurons in wild type and in RFX2 -/- mutant neurons with altered cilia, we discovered an early-differentiation "ciliary time window" during which transient cilia promote axon outgrowth, branching and arborization. Experiments in neurons with IFT88 and IFT172 ciliary gene knockdowns, leading to shorter cilia, confirm these results. Cilia promote neuron differentiation by tipping WNT signaling toward the non-canonical pathway, in turn activating WNT pathway output genes implicated in cyto-architectural changes. CONCLUSIONS We provide a mechanistic entry point into when and how ciliary signaling coordinates, promotes and translates into anatomical changes. We hypothesize that ciliary alterations causing neuron differentiation defects may result in "mild" impairments of brain development, possibly underpinning certain aspects of neurodevelopmental disorders.
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Affiliation(s)
- Andrea Coschiera
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
| | - Masahito Yoshihara
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
- Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba, Japan
- Chiba University, Chiba, Japan
| | - Gilbert Lauter
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala, Sweden
- Uppsala University, Uppsala, Sweden
| | - Sini Ezer
- University of Helsinki, Stem Cells and Metabolism Research Program, and Folkhälsan Research Center, Helsinki, Finland
| | - Mariangela Pucci
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
- Department of Bioscience and Technology for Food, Agriculture and Environment, Teramo, Italy
- University of Teramo, Teramo, Italy
| | - Haonan Li
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
| | - Alan Kavšek
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
| | - Christian G Riedel
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
- University of Helsinki, Stem Cells and Metabolism Research Program, and Folkhälsan Research Center, Helsinki, Finland
| | - Peter Swoboda
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden.
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Choi W, Choe MS, Kim SM, Kim SJ, Lee J, Lee Y, Lee SM, Dho SH, Lee MY, Kim LK. RFX4 is an intrinsic factor for neuronal differentiation through induction of proneural genes POU3F2 and NEUROD1. Cell Mol Life Sci 2024; 81:99. [PMID: 38386071 PMCID: PMC10884155 DOI: 10.1007/s00018-024-05129-y] [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: 11/14/2023] [Revised: 12/27/2023] [Accepted: 01/15/2024] [Indexed: 02/23/2024]
Abstract
Proneural genes play a crucial role in neuronal differentiation. However, our understanding of the regulatory mechanisms governing proneural genes during neuronal differentiation remains limited. RFX4, identified as a candidate regulator of proneural genes, has been reported to be associated with the development of neuropsychiatric disorders. To uncover the regulatory relationship, we utilized a combination of multi-omics data, including ATAC-seq, ChIP-seq, Hi-C, and RNA-seq, to identify RFX4 as an upstream regulator of proneural genes. We further validated the role of RFX4 using an in vitro model of neuronal differentiation with RFX4 knock-in and a CRISPR-Cas9 knock-out system. As a result, we found that RFX4 directly interacts with the promoters of POU3F2 and NEUROD1. Transcriptomic analysis revealed a set of genes associated with neuronal development, which are highly implicated in the development of neuropsychiatric disorders, including schizophrenia. Notably, ectopic expression of RFX4 can drive human embryonic stem cells toward a neuronal fate. Our results strongly indicate that RFX4 serves as a direct upstream regulator of proneural genes, a role that is essential for normal neuronal development. Impairments in RFX4 function could potentially be related to the development of various neuropsychiatric disorders. However, understanding the precise mechanisms by which the RFX4 gene influences the onset of neuropsychiatric disorders requires further investigation through human genetic studies.
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Affiliation(s)
- Wonyoung Choi
- Interdisciplinary Program of Integrated OMICS for Biomedical Science, The Graduate School, Yonsei University, Seoul, Korea
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea
| | - Mu Seog Choe
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea
| | - Su Min Kim
- Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06230, Republic of Korea
| | - So Jin Kim
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea
| | - Jiyeon Lee
- Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06230, Republic of Korea
| | - Yeongun Lee
- Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06230, Republic of Korea
| | - Sun-Min Lee
- Department of Physics, Konkuk University, Seoul, Republic of Korea
| | - So Hee Dho
- Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06230, Republic of Korea
| | - Min-Young Lee
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea.
| | - Lark Kyun Kim
- Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06230, Republic of Korea.
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10
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Ma Y, Bendl J, Hartley BJ, Fullard JF, Abdelaal R, Ho SM, Kosoy R, Gochman P, Rapoport J, Hoffman GE, Brennand KJ, Roussos P. Activity-Dependent Transcriptional Program in NGN2+ Neurons Enriched for Genetic Risk for Brain-Related Disorders. Biol Psychiatry 2024; 95:187-198. [PMID: 37454787 PMCID: PMC10787819 DOI: 10.1016/j.biopsych.2023.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 06/07/2023] [Accepted: 07/09/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Converging evidence from large-scale genetic and postmortem studies highlights the role of aberrant neurotransmission and genetic regulation in brain-related disorders. However, identifying neuronal activity-regulated transcriptional programs in the human brain and understanding how changes contribute to disease remain challenging. METHODS To better understand how the activity-dependent regulome contributes to risk for brain-related disorders, we profiled the transcriptomic and epigenomic changes following neuronal depolarization in human induced pluripotent stem cell-derived glutamatergic neurons (NGN2) from 6 patients with schizophrenia and 5 control participants. RESULTS Multiomic data integration associated global patterns of chromatin accessibility with gene expression and identified enhancer-promoter interactions in glutamatergic neurons. Within 1 hour of potassium chloride-induced depolarization, independent of diagnosis, glutamatergic neurons displayed substantial activity-dependent changes in the expression of genes regulating synaptic function. Depolarization-induced changes in the regulome revealed significant heritability enrichment for schizophrenia and Parkinson's disease, adding to mounting evidence that sequence variation within activation-dependent regulatory elements contributes to the genetic risk for brain-related disorders. Gene coexpression network analysis elucidated interactions among activity-dependent and disease-associated genes and pointed to a key driver (NAV3) that interacted with multiple genes involved in axon guidance. CONCLUSIONS Overall, we demonstrated that deciphering the activity-dependent regulome in glutamatergic neurons reveals novel targets for advanced diagnosis and therapy.
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Affiliation(s)
- Yixuan Ma
- Center for Disease Neurogenomics, 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; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Science, 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
| | - Jaroslav Bendl
- Center for Disease Neurogenomics, 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; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Brigham J Hartley
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Black Family Stem Cell Institute, New York, New York
| | - John F Fullard
- Center for Disease Neurogenomics, 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; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Rawan Abdelaal
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Black Family Stem Cell Institute, New York, New York
| | - Seok-Man Ho
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Black Family Stem Cell Institute, New York, New York
| | - Roman Kosoy
- Center for Disease Neurogenomics, 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; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Peter Gochman
- Childhood Psychiatry Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Judith Rapoport
- Childhood Psychiatry Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Gabriel E Hoffman
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kristen J Brennand
- Center for Disease Neurogenomics, 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; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Black Family Stem Cell Institute, New York, New York.
| | - Panos Roussos
- Center for Disease Neurogenomics, 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; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, New York; Center for Dementia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, New York; Mental Illness Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, New York.
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11
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Torio M, Maeda K, Akamine S, Kawakami S, Matsubara Y, Miya F, Kato M, Kira R. A case of infantile epileptic spasms syndrome and autism spectrum disorder with an RFX3 mutation. Seizure 2023; 112:11-14. [PMID: 37717291 DOI: 10.1016/j.seizure.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 08/15/2023] [Accepted: 09/04/2023] [Indexed: 09/19/2023] Open
Affiliation(s)
- Michiko Torio
- Department of Pediatric Neurology, Fukuoka Children's Hospital, Fukuoka, Japan; Department of General Pediatrics and Interdisciplinary Medicine, Fukuoka Children's Hospital, Fukuoka, Japan.
| | - Kenichi Maeda
- Department of Pediatric Neurology, Fukuoka Children's Hospital, Fukuoka, Japan
| | - Satoshi Akamine
- Department of Pediatric Neurology, Fukuoka Children's Hospital, Fukuoka, Japan
| | - Saori Kawakami
- Department of Pediatric Neurology, Fukuoka Children's Hospital, Fukuoka, Japan
| | - Yoshie Matsubara
- Department of Pediatric Neurology, Fukuoka Children's Hospital, Fukuoka, Japan
| | - Fuyuki Miya
- Center for Medical Genetics, Keio University School of Medicine, Tokyo, Japan
| | - Mitsuhiro Kato
- Department of Pediatrics, Showa University School of Medicine, Tokyo, Japan
| | - Ryutaro Kira
- Department of Pediatric Neurology, Fukuoka Children's Hospital, Fukuoka, Japan
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12
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Gourisankar S, Wenderski W, Paulo JA, Kim SH, Roepke K, Ellis C, Gygi SP, Crabtree GR. Synaptic Activity Causes Minute-scale Changes in BAF Complex Composition and Function. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.13.562244. [PMID: 37873481 PMCID: PMC10592824 DOI: 10.1101/2023.10.13.562244] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Genes encoding subunits of the SWI/SNF or BAF ATP-dependent chromatin remodeling complex are among the most enriched for deleterious de novo mutations in intellectual disabilities and autism spectrum disorder, but the causative molecular pathways are not fully known 1,2 . Synaptic activity in neurons is critical for learning and memory and proper neural development 3 . Neural activity prompts calcium influx and transcription within minutes, facilitated in the nucleus by various transcription factors (TFs) and chromatin modifiers 4 . While BAF is required for activity-dependent developmental processes such as dendritic outgrowth 5-7 , the immediate molecular consequences of neural activity on BAF complexes and their functions are unknown. Here we mapped minute-scale biochemical consequences of neural activity, modeled by membrane depolarization of embryonic mouse primary cortical neurons, on BAF complexes. We used acute chemical perturbations of BAF ATPase activity and kinase signaling to define the activity-dependent effects on BAF complexes and activity-dependent BAF functions. Our studies found that BAF complexes change in subunit composition and are selectively phosphorylated within 10 minutes of depolarization. Increased levels of the core PBAF subunit Baf200/ Arid2 , uniquely containing an RFX-like DNA-binding domain, are concurrent with ATPase-dependent opening of chromatin at RFX/X-box motifs. Changes in BAF composition and phosphorylation lead to the regulation of chromatin accessibility for critical neurogenesis TFs. These biochemical effects are a convergent phenomenon downstream of multiple growth factor signaling pathways in mouse neurons and fibroblasts suggesting that BAF integrates signaling information from the membrane. In support of such a membrane-to-nucleus signaling cascade, we also identified a BAF-interacting kinase, Dclk2, whose inhibition attenuates BAF phosphorylation selectively. Our findings support a direct role of BAF complexes in responding to synaptic activity to regulate TF binding and transcription.
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13
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Vorstman JAS, Scherer SW. Contemplating syndromic autism. Genet Med 2023; 25:100919. [PMID: 37330697 DOI: 10.1016/j.gim.2023.100919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 06/07/2023] [Accepted: 06/08/2023] [Indexed: 06/19/2023] Open
Affiliation(s)
- Jacob A S Vorstman
- Department of Psychiatry, Hospital for Sick Children University of Toronto, Toronto, ON, Canada; Program in Genetics and Genome Biology, Hospital for Sick Children, Toronto, ON, Canada; The Centre for Applied Genomics, Hospital for Sick Children, Toronto, ON, Canada.
| | - Stephen W Scherer
- Program in Genetics and Genome Biology, Hospital for Sick Children, Toronto, ON, Canada; The Centre for Applied Genomics, Hospital for Sick Children, Toronto, ON, Canada; McLaughlin Centre and Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
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14
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Rasool IG, Zahoor MY, Ahmed I, Iqbal M, Shafqat S, Anjum AA, Shehzad W. Description of novel variants in consanguineous Pakistani families affected with intellectual disability. Genes Genomics 2023; 45:457-465. [PMID: 35150401 DOI: 10.1007/s13258-022-01219-y] [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: 08/21/2021] [Accepted: 01/16/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND Intellectual disability (ID) is a neurodevelopmental condition, affecting 1-3% of the population. Genetic factors play a key role causing the limitation in intellectual functioning and adaptive behavior. The heterogeneity of ID makes it more difficult for genetic and clinical diagnosis. Mapping of variants through next generation DNA sequencing in consanguineous families would help to understand the molecular parthenogenesis of ID. OBJECTIVE The aim of this study was to describe the genetic variants of ID in consanguineous Pakistani families. METHODS We analyzed four unrelated consanguineous Pakistani families having an intellectual disability through whole exome sequencing (WES). Data was analyzed using different bioinformatics tools and software. RESULTS We mapped four novel variants in different ID genes. Each variant is found in different family, co-segregating with a recessive pattern of inheritance. The variants found are; c.1437delG:p.Asn480Thrfs*10, mapped in FKRP, c.2041 C>A:p.Leu681Met in HIRA, c.382 C>T:p.Arg128Cys in BDH1 and c.267+1G>A:p.? identified in TRAPPC6B. CONCLUSIONS These variants help in demonstration of status and molecular basis of intellectual disability in Pakistani population leading to provision of genetic counseling services and a contribution in disease variant database.
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Affiliation(s)
- Iqra Ghulam Rasool
- Molecular Biology and Biotechnology Section, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan
| | - Muhammad Yasir Zahoor
- Molecular Biology and Biotechnology Section, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan.
| | - Irfan Ahmed
- Molecular Biology and Biotechnology Section, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan
| | - Muhammad Iqbal
- Department of Biotechnology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Shehla Shafqat
- Department of Biotechnology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Aftab Ahmad Anjum
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Wasim Shehzad
- Molecular Biology and Biotechnology Section, Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan
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15
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Schwab K, Coronel L, Riege K, Sacramento EK, Rahnis N, Häckes D, Cirri E, Groth M, Hoffmann S, Fischer M. Multi-omics analysis identifies RFX7 targets involved in tumor suppression and neuronal processes. Cell Death Discov 2023; 9:80. [PMID: 36864036 PMCID: PMC9981735 DOI: 10.1038/s41420-023-01378-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/19/2023] [Accepted: 02/22/2023] [Indexed: 03/04/2023] Open
Abstract
Recurrently mutated in lymphoid neoplasms, the transcription factor RFX7 is emerging as a tumor suppressor. Previous reports suggested that RFX7 may also have a role in neurological and metabolic disorders. We recently reported that RFX7 responds to p53 signaling and cellular stress. Furthermore, we found RFX7 target genes to be dysregulated in numerous cancer types also beyond the hematological system. However, our understanding of RFX7's target gene network and its role in health and disease remains limited. Here, we generated RFX7 knock-out cells and employed a multi-omics approach integrating transcriptome, cistrome, and proteome data to obtain a more comprehensive picture of RFX7 targets. We identify novel target genes linked to RFX7's tumor suppressor function and underscoring its potential role in neurological disorders. Importantly, our data reveal RFX7 as a mechanistic link that enables the activation of these genes in response to p53 signaling.
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Affiliation(s)
- Katjana Schwab
- grid.418245.e0000 0000 9999 5706Computational Biology Group, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Luis Coronel
- grid.418245.e0000 0000 9999 5706Computational Biology Group, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Konstantin Riege
- grid.418245.e0000 0000 9999 5706Computational Biology Group, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Erika K. Sacramento
- grid.418245.e0000 0000 9999 5706Core Facility for Proteomics, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Norman Rahnis
- grid.418245.e0000 0000 9999 5706Core Facility for Proteomics, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - David Häckes
- grid.418245.e0000 0000 9999 5706Computational Biology Group, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Emilio Cirri
- grid.418245.e0000 0000 9999 5706Core Facility for Proteomics, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Marco Groth
- grid.418245.e0000 0000 9999 5706Core Facility for Next-Generation Sequencing, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Steve Hoffmann
- grid.418245.e0000 0000 9999 5706Computational Biology Group, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Martin Fischer
- Computational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745, Jena, Germany.
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16
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Li S, Hannenhalli S, Ovcharenko I. De novo human brain enhancers created by single-nucleotide mutations. SCIENCE ADVANCES 2023; 9:eadd2911. [PMID: 36791193 PMCID: PMC9931207 DOI: 10.1126/sciadv.add2911] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 01/12/2023] [Indexed: 05/30/2023]
Abstract
Advanced human cognition is attributed to increased neocortex size and complexity, but the underlying evolutionary and regulatory mechanisms are largely unknown. Using human and macaque embryonic neocortical H3K27ac data coupled with a deep learning model of enhancers, we identified ~4000 enhancer gains in humans, which, per our model, can often be attributed to single-nucleotide essential mutations. Our analyses suggest that functional gains in embryonic brain development are associated with de novo enhancers whose putative target genes exhibit increased expression in progenitor cells and interneurons and partake in critical neural developmental processes. Essential mutations alter enhancer activity through altered binding of key transcription factors (TFs) of embryonic neocortex, including ISL1, POU3F2, PITX1/2, and several SOX TFs, and are associated with central nervous system disorders. Overall, our results suggest that essential mutations lead to gain of embryonic neocortex enhancers, which orchestrate expression of genes involved in critical developmental processes associated with human cognition.
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Affiliation(s)
- Shan Li
- Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20892, USA
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sridhar Hannenhalli
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ivan Ovcharenko
- Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20892, USA
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17
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Ledger ML, Kaare M, Mailo JA, Jain-Ghai S. Phenotype expansion and neurological manifestations of neurobehavioural disease caused by a variant in RFX7. Eur J Med Genet 2023; 66:104657. [PMID: 36334883 DOI: 10.1016/j.ejmg.2022.104657] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 09/20/2022] [Accepted: 10/31/2022] [Indexed: 11/11/2022]
Abstract
The RFX7 gene is one of eight genes within the regulatory factor X family. RFX7 is highly expressed in the brain and plays an important role in cell maturation and differentiation. It has only recently been implicated in disease in humans. Reports from 15 individuals have described RFX-associated phenotype as a neurobehavioural disease, manifesting primarily with global developmental delay and intellectual disability. Autism spectrum disorder and attention deficit hyperactivity disorder have also been described in some children. Here we report a case of a 19-month-old with a de novo missense variant in RFX7 resulting in severe global developmental delay including significant speech delay, microcephaly, dyskinetic movements, and failure to thrive. This is the first association between variants in RFX7 and failure to thrive, expanding the phenotype of this newly described gene. In this report we will also show RFX7 associated progressive central nervous system involvement through serial brain imaging.
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Affiliation(s)
- Marissa L Ledger
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
| | - Milja Kaare
- Blueprint Genetics, A Quest Diagnostics Company, Espoo, Finland
| | - Janette A Mailo
- Department of Pediatrics, Division of Pediatric Neurology, University of Alberta, Edmonton, AB, Canada
| | - Shailly Jain-Ghai
- Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada
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18
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Spatially resolved gene regulatory and disease-related vulnerability map of the adult Macaque cortex. Nat Commun 2022; 13:6747. [PMID: 36347848 PMCID: PMC9643508 DOI: 10.1038/s41467-022-34413-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 10/24/2022] [Indexed: 11/09/2022] Open
Abstract
Single cell approaches have increased our knowledge about the cell type composition of the non-human primate (NHP), but a detailed characterization of area-specific regulatory features remains outstanding. We generated single-cell transcriptomic and chromatin accessibility (single-cell ATAC) data of 358,237 cells from prefrontal cortex (PFC), primary motor cortex (M1) and primary visual cortex (V1) of adult female cynomolgus monkey brain, and integrated this dataset with Stereo-seq (spatial enhanced resolution omics-sequencing) of the corresponding cortical areas to assign topographic information to molecular states. We identified area-specific chromatin accessible sites and their targeted genes, including the cell type-specific transcriptional regulatory network associated with excitatory neurons heterogeneity. We reveal calcium ion transport and axon guidance genes related to specialized functions of PFC and M1, identified the similarities and differences between adult macaque and human oligodendrocyte trajectories, and mapped the genetic variants and gene perturbations of human diseases to NHP cortical cells. This resource establishes a transcriptomic and chromatin accessibility combinatory regulatory landscape at a single-cell and spatially resolved resolution in NHP cortex.
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19
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Ai Y, Zhao J, Liu H, Li J, Zhu T. The relationship between diabetes mellitus and attention deficit hyperactivity disorder: A systematic review and meta-analysis. Front Pediatr 2022; 10:936813. [PMID: 36245747 PMCID: PMC9560781 DOI: 10.3389/fped.2022.936813] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 08/16/2022] [Indexed: 11/13/2022] Open
Abstract
Background This study aims to investigate the prevalence estimate of diabetes mellitus (DM) among people with attention deficit hyperactivity disorder (ADHD) as well as the prevalence of ADHD among those with DM. In addition, the impact of ADHD on glycemic control in patients with DM was also assessed using a systematic review and meta-analysis of currently available published data. Materials and methods The PubMed, Embase, Web of Science, and PsycInfo databases were searched for potential studies. Two reviewers independently selected studies according to the inclusion and exclusion criteria. All pooled analyses were conducted using the random-effects models on Review Manager 5.3. Results Seventeen observational studies were included. The pooled results showed an increase in the prevalence of DM among patients with ADHD versus those without ADHD [type 1 DM OR: 1.37 (95% CI: 1.17-1.61); type 2 DM OR: 2.05 (95% CI: 1.37-3.07)]. There was an overall 35% increase in the prevalence of ADHD among patients with type 1 DM [OR: 1.35 (95% CI: 1.08-1.73)]. Children with type 1 DM and ADHD had higher levels of hemoglobin A1c [standardized mean of differences: 0.67 (95% CI: 0.48-0.86)], and prevalence of hypoglycemic and ketoacidosis index compared with those without ADHD. Conclusion Our study revealed the bidirectional associations between ADHD and DM. Patients with ADHD and type 1 DM comorbidities were more likely to have poorer diabetes control. More studies are needed to confirm this association and elucidate the underlying mechanism.
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Affiliation(s)
- Yuan Ai
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, China
| | - Jing Zhao
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, China
| | - Hanmin Liu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, China
| | - Jiao Li
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, China
| | - Tingting Zhu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, Sichuan, China
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20
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Lewis EMA, Chapman G, Kaushik K, Determan J, Antony I, Meganathan K, Narasimhan M, Gontarz P, Zhang B, Kroll KL. Regulation of human cortical interneuron development by the chromatin remodeling protein CHD2. Sci Rep 2022; 12:15636. [PMID: 36115870 PMCID: PMC9482661 DOI: 10.1038/s41598-022-19654-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 09/01/2022] [Indexed: 11/16/2022] Open
Abstract
Mutations in the chromodomain helicase DNA binding protein 2 (CHD2) gene are associated with neurodevelopmental disorders. However, mechanisms by which CHD2 regulates human brain development remain largely uncharacterized. Here, we used a human embryonic stem cell model of cortical interneuron (hcIN) development to elucidate its roles in this process. We identified genome-wide CHD2 binding profiles during hcIN differentiation, defining direct CHD2 targets related to neurogenesis in hcIN progenitors and to neuronal function in hcINs. CHD2 bound sites were frequently coenriched with histone H3 lysine 27 acetylation (H3K27ac) and associated with high gene expression, indicating roles for CHD2 in promoting gene expression during hcIN development. Binding sites for different classes of transcription factors were enriched at CHD2 bound regions during differentiation, suggesting transcription factors that may cooperatively regulate stage-specific gene expression with CHD2. We also demonstrated that CHD2 haploinsufficiency altered CHD2 and H3K27ac coenrichment on chromatin and expression of associated genes, decreasing acetylation and expression of cell cycle genes while increasing acetylation and expression of neuronal genes, to cause precocious differentiation. Together, these data describe CHD2 direct targets and mechanisms by which CHD2 prevents precocious hcIN differentiation, which are likely to be disrupted by pathogenic CHD2 mutation to cause neurodevelopmental disorders.
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Affiliation(s)
- E M A Lewis
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - G Chapman
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - K Kaushik
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - J Determan
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - I Antony
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - K Meganathan
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - M Narasimhan
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - P Gontarz
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - B Zhang
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - K L Kroll
- Department of Developmental Biology, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
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21
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Guo L, Liu D. Identification of RFX5 as prognostic biomarker and associated with immune infiltration in stomach adenocarcinoma. Eur J Med Res 2022; 27:164. [PMID: 36045400 PMCID: PMC9429337 DOI: 10.1186/s40001-022-00794-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 08/16/2022] [Indexed: 11/10/2022] Open
Abstract
Background Regulatory factor X (RFX) gene family is a series of encodes transcription factors with a highly conserved DNA binding domain. RFXs played a vital role in the development and progression of cancer. However, the significance of RFXs in stomach adenocarcinoma (STAD) has not been fully clarified. Methods Online bioinformatics tools such as GSCALite, Kaplan–Meier Plotter, TIMER, LinkedOmics were used to explore the immunomodulatory function and clinical value of RFXs in STAD. Results The mRNA level of RFX1, RFX3, RFX4, RFX5, RFX7 and RFX8 was significantly elevated in STAD tissue versus adjacent normal tissue. We also summarize the copy number variation, single nucleotide variants and drug sensitivity of RFXs in STAD. Prognostic analysis indicated that STAD patients with high RFX5 and RFX7 expression had a better overall survival, first progression, and post-progression survival. Moreover, RFX5 expression was significantly associated with the abundance of immune cells, the expression of immune biomarkers and tumor mutational burden score in STAD. Functional enrichment analysis revealed that RFX5 and its related genes were mainly involved in T cell activation, antigen receptor-mediated signaling pathway, cell adhesion molecules, and Th17 cell differentiation. Validation study further verified the expression and prognosis of RFX5 in STAD. Further univariate and multivariate analyses suggested that pathological stage and RFX5 could be a potential independent prognostic factor for STAD. Conclusions RFX5 was a candidate prognostic biomarker and associated with immune infiltration in STAD. Supplementary Information The online version contains supplementary material available at 10.1186/s40001-022-00794-w.
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Affiliation(s)
- Lili Guo
- Department of Anesthesiology, The First Hospital of China Medical University, Shenyang, China
| | - Dingsheng Liu
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
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22
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Lv N, Wang Y, Liu Y, Tang J, Lei Q, Wang Y, Wei H. Decreased Microglia in Pax2 Mutant Mice Leads to Impaired Learning and Memory. ACS Chem Neurosci 2022; 13:2490-2502. [PMID: 35929805 DOI: 10.1021/acschemneuro.2c00352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Impaired learning and memory ability is one of the characteristics of a variety of neurological diseases, and its molecular mechanisms are complex and diverse and are regulated by a variety of factors. It is generally believed that synaptic plasticity plays an important role in the process of learning and memory. The protein encoded by the Pax2 gene is a transcription factor involved in neuron migration and cell fate determination during neural development. Mice knocked out of BDNF in the Pax2 lineage-derived interneuron precursor exhibited learning disabilities and severe cognitive impairment. In this study, Pax2 heterozygous gene (Pax2+/- mice) deletion mice were used as the research objects and behavioral tests were used to observe the effect of Pax2 gene deletion on learning and memory ability; morphological and molecular biological methods were used to observe the effect of Pax2 gene deletion on the neural structure. Single-cell transcriptome sequencing was used to observe the cell subtypes and differentially expressed genes (DEGs) and signaling pathways affected by Pax2 gene deletion and the possible molecular mechanisms. The results showed that Pax2+/- mice had impaired learning and memory ability, abnormal synaptic structure, and significantly reduced number of microglia clusters, and DEGs were associated with pro-inflammatory chemokines. Finally, we speculate that Pax2 gene deletion may lead to abnormal chemokines and chemokine receptors by affecting microglia.
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Affiliation(s)
- Na Lv
- Department of Neurology, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, China.,Department of Physiology, School of Basic Medicine, Shanxi Medical University, Taiyuan 030012, China.,Shanxi Key Laboratory of Brain Disease Control, Shanxi Provincial People's Hospital, Taiyuan 030012, China
| | - Ying Wang
- Department of Neurology, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, China.,Shanxi Key Laboratory of Brain Disease Control, Shanxi Provincial People's Hospital, Taiyuan 030012, China
| | - Yongfeng Liu
- Department of Neurology, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, China
| | - Jiaming Tang
- Department of Neurology, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, China.,Graduate College, Shanxi University of Chinese Medicine, Taiyuan 030024, China
| | - Qiang Lei
- Department of Neurology, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, China.,Department of Physiology, School of Basic Medicine, Shanxi Medical University, Taiyuan 030012, China.,Shanxi Key Laboratory of Brain Disease Control, Shanxi Provincial People's Hospital, Taiyuan 030012, China
| | - Yizhuo Wang
- Department of Neurology, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, China.,Shanxi Key Laboratory of Brain Disease Control, Shanxi Provincial People's Hospital, Taiyuan 030012, China
| | - Hongen Wei
- Department of Neurology, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, China.,Shanxi Key Laboratory of Brain Disease Control, Shanxi Provincial People's Hospital, Taiyuan 030012, China
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23
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Das D, Podder S. Deregulation of ceRNA Networks in Frontal Cortex and Choroid Plexus of Brain during SARS-CoV-2 Infection Aggravates Neurological Manifestations: An Insight from Bulk and Single-Cell Transcriptomic Analyses. Adv Biol (Weinh) 2022; 6:e2101310. [PMID: 35661455 PMCID: PMC9348399 DOI: 10.1002/adbi.202101310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 05/20/2022] [Indexed: 01/28/2023]
Abstract
Although transcriptomic studies of SARS-CoV-2-infected brains have depicted variability in gene expression, the landscape of deregulated cell-specific regulatory circuits has not been elucidated yet. Hence, bulk and single-cell RNA-seq data are analyzed to gain detailed insights. Initially, two ceRNA networks with 19 and 3 differentially expressed (DE) hub lncRNAs are reconstructed in SARS-CoV-2 infected Frontal Cortex (FC) and Choroid Plexus (CP), respectively. Functional and pathway enrichment analyses of downstream mRNAs of deregulated ceRNA axes demonstrate impairment of neurological processes. Mapping of hub lncRNA-mRNA pairs from bulk RNA-seq with snRNA-seq data has indicated that NORAD, NEAT1, and STXBP5-AS1 are downregulated across 4, 4, and 2 FC cell types, respectively. At the same time, MIRLET7BHG and MALAT1 are upregulated in excitatory neurons of FC and neurons of CP, respectively. Here, it is hypothesized that downregulation of NORAD, NEAT1, and STXBP5-AS1, and upregulation of MIRLET7BHG and MALAT1 might deregulate respectively 51, 6, and 37, and 31 and 19 mRNAs in cell types of FC and CP. Afterward, 13 therapeutic miRNAs are traced that might safeguard against deregulated lncRNA-mRNA pairs of NORAD, NEAT1, and MIRLET7BHG in FC. This study helps to explain the plausible mechanism of post-COVID neurological manifestation and also to devise therapeutics against it.
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Affiliation(s)
- Deepyaman Das
- Department of MicrobiologyRaiganj UniversityRaiganjUttar DinajpurWest Bengal733134India
| | - Soumita Podder
- Department of MicrobiologyRaiganj UniversityRaiganjUttar DinajpurWest Bengal733134India
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24
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Zyner KG, Simeone A, Flynn SM, Doyle C, Marsico G, Adhikari S, Portella G, Tannahill D, Balasubramanian S. G-quadruplex DNA structures in human stem cells and differentiation. Nat Commun 2022; 13:142. [PMID: 35013231 PMCID: PMC8748810 DOI: 10.1038/s41467-021-27719-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 12/02/2021] [Indexed: 12/13/2022] Open
Abstract
The establishment of cell identity during embryonic development involves the activation of specific gene expression programmes and is underpinned by epigenetic factors including DNA methylation and histone post-translational modifications. G-quadruplexes are four-stranded DNA secondary structures (G4s) that have been implicated in transcriptional regulation and cancer. Here, we show that G4s are key genomic structural features linked to cellular differentiation. We find that G4s are highly abundant in human embryonic stem cells and are lost during lineage specification. G4s are prevalent in enhancers and promoters. G4s that are found in common between embryonic and downstream lineages are tightly linked to transcriptional stabilisation of genes involved in essential cellular functions as well as transitions in the histone post-translational modification landscape. Furthermore, the application of small molecules that stabilise G4s causes a delay in stem cell differentiation, keeping cells in a more pluripotent-like state. Collectively, our data highlight G4s as important epigenetic features that are coupled to stem cell pluripotency and differentiation.
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Affiliation(s)
- Katherine G Zyner
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Angela Simeone
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Sean M Flynn
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Colm Doyle
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Giovanni Marsico
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Santosh Adhikari
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Guillem Portella
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - David Tannahill
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Shankar Balasubramanian
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.
- School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SP, UK.
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25
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Integrative multi-omics landscape of fluoxetine action across 27 brain regions reveals global increase in energy metabolism and region-specific chromatin remodelling. Mol Psychiatry 2022; 27:4510-4525. [PMID: 36056172 PMCID: PMC9734063 DOI: 10.1038/s41380-022-01725-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/21/2022] [Accepted: 07/26/2022] [Indexed: 12/14/2022]
Abstract
Depression and anxiety are major global health burdens. Although SSRIs targeting the serotonergic system are prescribed over 200 million times annually, they have variable therapeutic efficacy and side effects, and mechanisms of action remain incompletely understood. Here, we comprehensively characterise the molecular landscape of gene regulatory changes associated with fluoxetine, a widely-used SSRI. We performed multimodal analysis of SSRI response in 27 mammalian brain regions using 310 bulk RNA-seq and H3K27ac ChIP-seq datasets, followed by in-depth characterisation of two hippocampal regions using single-cell RNA-seq (20 datasets). Remarkably, fluoxetine induced profound region-specific shifts in gene expression and chromatin state, including in the nucleus accumbens shell, locus coeruleus and septal areas, as well as in more well-studied regions such as the raphe and hippocampal dentate gyrus. Expression changes were strongly enriched at GWAS loci for depression and antidepressant drug response, stressing the relevance to human phenotypes. We observed differential expression at dozens of signalling receptors and pathways, many of which are previously unknown. Single-cell analysis revealed stark differences in fluoxetine response between the dorsal and ventral hippocampal dentate gyri, particularly in oligodendrocytes, mossy cells and inhibitory neurons. Across diverse brain regions, integrative omics analysis consistently suggested increased energy metabolism via oxidative phosphorylation and mitochondrial changes, which we corroborated in vitro; this may thus constitute a shared mechanism of action of fluoxetine. Similarly, we observed pervasive chromatin remodelling signatures across the brain. Our study reveals unexpected regional and cell type-specific heterogeneity in SSRI action, highlights under-studied brain regions that may play a major role in antidepressant response, and provides a rich resource of candidate cell types, genes, gene regulatory elements and pathways for mechanistic analysis and identifying new therapeutic targets for depression and anxiety.
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26
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Genotype-Phenotype Correlations in Relation to Newly Emerging Monogenic Forms of Autism Spectrum Disorder and Associated Neurodevelopmental Disorders: The Importance of Phenotype Reevaluation after Pangenomic Results. J Clin Med 2021; 10:jcm10215060. [PMID: 34768579 PMCID: PMC8584959 DOI: 10.3390/jcm10215060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 12/15/2022] Open
Abstract
ASD genetic diagnosis has dramatically improved due to NGS technologies, and many new causative genes have been discovered. Consequently, new ASD phenotypes have emerged. An extensive exome sequencing study carried out by the Autism Sequencing Consortium (ASC) was published in February 2020. The study identified 102 genes which are de novo mutated in subjects affected by autism spectrum disorder (ASD) or similar neurodevelopmental disorders (NDDs). The majority of these genes was already known to be implicated in ASD or NDDs, whereas approximately 30 genes were considered “novel” as either they were not previously associated with ASD/NDDs or very little information about them was present in the literature. The aim of this work is to review the current literature since the publication of the ASC paper to see if new data mainly concerning genotype–phenotype correlations of the novel genes have been added to the existing one. We found new important clinical and molecular data for 6 of the 30 novel genes. Though the broad and overlapping neurodevelopmental phenotypes observed in most monogenic forms of NDDs make it difficult for the clinical geneticist to address gene-specific tests, knowledge of these new data can at least help to prioritize and interpret results of pangenomic tests to some extent. Indeed, for some of the new emerging genes analyzed in the present work, specific clinical features emerged that may help the clinical geneticist to make the final diagnosis by associating the genetic test results with the phenotype. The importance of this relatively new approach known as “reverse phenotyping” will be discussed.
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27
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Özaslan A, Kayhan G, İşeri E, Ergün MA, Güney E, Perçin FE. Identification of copy number variants in children and adolescents with autism spectrum disorder: a study from Turkey. Mol Biol Rep 2021; 48:7371-7378. [PMID: 34637094 DOI: 10.1007/s11033-021-06745-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 10/01/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Copy number variants (CNVs) play a key role in the etiology of autism spectrum disorder (ASD). Therefore, recent guidelines recommend chromosomal microarrays (CMAs) as first-tier genetic tests. This study's first aim was to determine the clinical usefulness of CMAs in children diagnosed with ASD in a Turkish population. The second aim was to describe the CNVs and clinical phenotypes of children with ASD. METHODS AND RESULTS This was a single-center retrospective cross-sectional study. Data were obtained from the medical records of children with ASD followed at Gazi University Hospital, (Ankara, Turkey). The sample consisted of 47 ASD cases (mean age: 60.34 ± 25.60 months; 82.9% boys). The diagnostic yield of the CMAs was 8.5%. Four pathogenic CNVs were identified: 9p24.3p24.2 deletion, 15q11-q13 duplication, 16p11.2 deletion, and 22q13.3 deletion. Also, four variants were found at 2q36.3, 10p11.21, 15q11.2, and Xp11.22, which were classified as variants of uncertain significance (VUS). CONCLUSIONS The TRAP12 and PARD3 genes in CNVs classified as VUS may be worth investigating for autism. The initial identification of both clinical and biological markers can facilitate monitoring, early intervention, or prevention and advance our understanding of the neurobiology underlying ASD.
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Affiliation(s)
- Ahmet Özaslan
- Child and Adolescent Psychiatry Department, Gazi University Medical Faculty, Emniyet Mahallesi, Bandırma Caddesi No. 6/1, Yenimahalle, Ankara, Turkey.
| | - Gülsüm Kayhan
- Medical Genetics Department, Gazi University Medical Faculty, Ankara, Turkey
| | - Elvan İşeri
- Child and Adolescent Psychiatry Department, Gazi University Medical Faculty, Emniyet Mahallesi, Bandırma Caddesi No. 6/1, Yenimahalle, Ankara, Turkey
| | - Mehmet Ali Ergün
- Medical Genetics Department, Gazi University Medical Faculty, Ankara, Turkey
| | - Esra Güney
- Child and Adolescent Psychiatry Department, Gazi University Medical Faculty, Emniyet Mahallesi, Bandırma Caddesi No. 6/1, Yenimahalle, Ankara, Turkey
| | - Ferda Emriye Perçin
- Medical Genetics Department, Gazi University Medical Faculty, Ankara, Turkey
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28
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Coronel L, Riege K, Schwab K, Förste S, Häckes D, Semerau L, Bernhart SH, Siebert R, Hoffmann S, Fischer M. Transcription factor RFX7 governs a tumor suppressor network in response to p53 and stress. Nucleic Acids Res 2021; 49:7437-7456. [PMID: 34197623 PMCID: PMC8287911 DOI: 10.1093/nar/gkab575] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/25/2021] [Accepted: 06/21/2021] [Indexed: 12/22/2022] Open
Abstract
Despite its prominence, the mechanisms through which the tumor suppressor p53 regulates most genes remain unclear. Recently, the regulatory factor X 7 (RFX7) emerged as a suppressor of lymphoid neoplasms, but its regulation and target genes mediating tumor suppression remain unknown. Here, we identify a novel p53-RFX7 signaling axis. Integrative analysis of the RFX7 DNA binding landscape and the RFX7-regulated transcriptome in three distinct cell systems reveals that RFX7 directly controls multiple established tumor suppressors, including PDCD4, PIK3IP1, MXD4, and PNRC1, across cell types and is the missing link for their activation in response to p53 and stress. RFX7 target gene expression correlates with cell differentiation and better prognosis in numerous cancer types. Interestingly, we find that RFX7 sensitizes cells to Doxorubicin by promoting apoptosis. Together, our work establishes RFX7’s role as a ubiquitous regulator of cell growth and fate determination and a key node in the p53 transcriptional program.
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Affiliation(s)
- Luis Coronel
- Computational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Konstantin Riege
- Computational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Katjana Schwab
- Computational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Silke Förste
- Computational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - David Häckes
- Computational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Lena Semerau
- Computational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Stephan H Bernhart
- Transcriptome Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Steve Hoffmann
- Computational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
| | - Martin Fischer
- Computational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany
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