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Zhou B, Arthur JG, Guo H, Kim T, Huang Y, Pattni R, Wang T, Kundu S, Luo JXJ, Lee H, Nachun DC, Purmann C, Monte EM, Weimer AK, Qu PP, Shi M, Jiang L, Yang X, Fullard JF, Bendl J, Girdhar K, Kim M, Chen X, Greenleaf WJ, Duncan L, Ji HP, Zhu X, Song G, Montgomery SB, Palejev D, Zu Dohna H, Roussos P, Kundaje A, Hallmayer JF, Snyder MP, Wong WH, Urban AE. Detection and analysis of complex structural variation in human genomes across populations and in brains of donors with psychiatric disorders. Cell 2024:S0092-8674(24)01032-8. [PMID: 39353437 DOI: 10.1016/j.cell.2024.09.014] [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: 09/12/2023] [Revised: 07/01/2024] [Accepted: 09/10/2024] [Indexed: 10/04/2024]
Abstract
Complex structural variations (cxSVs) are often overlooked in genome analyses due to detection challenges. We developed ARC-SV, a probabilistic and machine-learning-based method that enables accurate detection and reconstruction of cxSVs from standard datasets. By applying ARC-SV across 4,262 genomes representing all continental populations, we identified cxSVs as a significant source of natural human genetic variation. Rare cxSVs have a propensity to occur in neural genes and loci that underwent rapid human-specific evolution, including those regulating corticogenesis. By performing single-nucleus multiomics in postmortem brains, we discovered cxSVs associated with differential gene expression and chromatin accessibility across various brain regions and cell types. Additionally, cxSVs detected in brains of psychiatric cases are enriched for linkage with psychiatric GWAS risk alleles detected in the same brains. Furthermore, our analysis revealed significantly decreased brain-region- and cell-type-specific expression of cxSV genes, specifically for psychiatric cases, implicating cxSVs in the molecular etiology of major neuropsychiatric disorders.
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Affiliation(s)
- Bo Zhou
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA; Maternal and Child Health Research Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
| | - Joseph G Arthur
- Department of Statistics, Stanford University, Stanford, CA 94305, USA
| | - Hanmin Guo
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA; Maternal and Child Health Research Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Statistics, Stanford University, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Taeyoung Kim
- School of Computer Science and Engineering, Pusan National University, Busan 46241, South Korea
| | - Yiling Huang
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Reenal Pattni
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Tao Wang
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Soumya Kundu
- Department of Genetics, Stanford University, Stanford, CA 94305, USA; Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Jay X J Luo
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - HoJoon Lee
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Daniel C Nachun
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Carolin Purmann
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA; Maternal and Child Health Research Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Emma M Monte
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Annika K Weimer
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Ping-Ping Qu
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Minyi Shi
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Lixia Jiang
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Xinqiong Yang
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - John F Fullard
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jaroslav Bendl
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kiran Girdhar
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Minsu Kim
- School of Computer Science and Engineering, Pusan National University, Busan 46241, South Korea
| | - Xi Chen
- Department of Statistics, Stanford University, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | - Laramie Duncan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Hanlee P Ji
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Xiang Zhu
- Department of Statistics, Stanford University, Stanford, CA 94305, USA; Department of Statistics, Pennsylvania State University, University Park, PA 16802, USA; Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Giltae Song
- School of Computer Science and Engineering, Pusan National University, Busan 46241, South Korea; Center for Artificial Intelligence Research, Pusan National University, Busan 46241, South Korea
| | - Stephen B Montgomery
- Department of Genetics, Stanford University, Stanford, CA 94305, USA; Maternal and Child Health Research Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA; Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Dean Palejev
- Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia 1113, Bulgaria
| | - Heinrich Zu Dohna
- Department of Biology, American University of Beirut, Beirut 11-0236, Lebanon
| | - Panos Roussos
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Bronx, NY 10468, USA; Mental Illness Research Education and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, NY 10468, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA 94305, USA; Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | - Joachim F Hallmayer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Wing H Wong
- Department of Statistics, Stanford University, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
| | - Alexander E Urban
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA; Maternal and Child Health Research Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
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Rossetti GG, Dommann N, Karamichali A, Dionellis VS, Asensio Aldave A, Yarahmadov T, Rodriguez-Carballo E, Keogh A, Candinas D, Stroka D, Halazonetis TD. In vivo DNA replication dynamics unveil aging-dependent replication stress. Cell 2024:S0092-8674(24)00963-2. [PMID: 39293447 DOI: 10.1016/j.cell.2024.08.034] [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: 05/11/2023] [Revised: 03/16/2024] [Accepted: 08/19/2024] [Indexed: 09/20/2024]
Abstract
The genome duplication program is affected by multiple factors in vivo, including developmental cues, genotoxic stress, and aging. Here, we monitored DNA replication initiation dynamics in regenerating livers of young and old mice after partial hepatectomy to investigate the impact of aging. In young mice, the origin firing sites were well defined; the majority were located 10-50 kb upstream or downstream of expressed genes, and their position on the genome was conserved in human cells. Old mice displayed the same replication initiation sites, but origin firing was inefficient and accompanied by a replication stress response. Inhibitors of the ATR checkpoint kinase fully restored origin firing efficiency in the old mice but at the expense of an inflammatory response and without significantly enhancing the fraction of hepatocytes entering the cell cycle. These findings unveil aging-dependent replication stress and a crucial role of ATR in mitigating the stress-associated inflammation, a hallmark of aging.
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Affiliation(s)
- Giacomo G Rossetti
- Department of Molecular and Cellular Biology, University of Geneva, Geneva 1205, Switzerland
| | - Noëlle Dommann
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department for BioMedical Research, University of Bern, Bern, Switzerland
| | - Angeliki Karamichali
- Department of Molecular and Cellular Biology, University of Geneva, Geneva 1205, Switzerland
| | - Vasilis S Dionellis
- Department of Molecular and Cellular Biology, University of Geneva, Geneva 1205, Switzerland
| | - Ainhoa Asensio Aldave
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department for BioMedical Research, University of Bern, Bern, Switzerland
| | - Tural Yarahmadov
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department for BioMedical Research, University of Bern, Bern, Switzerland
| | | | - Adrian Keogh
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department for BioMedical Research, University of Bern, Bern, Switzerland
| | - Daniel Candinas
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Deborah Stroka
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Department for BioMedical Research, University of Bern, Bern, Switzerland.
| | - Thanos D Halazonetis
- Department of Molecular and Cellular Biology, University of Geneva, Geneva 1205, Switzerland.
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Yang Z, Mogre S, He R, Berdan EL, Ho Sui S, Hill S. The ORFIUS complex regulates ORC2 localization at replication origins. NAR Cancer 2024; 6:zcae003. [PMID: 38288445 PMCID: PMC10823580 DOI: 10.1093/narcan/zcae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 12/18/2023] [Accepted: 01/09/2024] [Indexed: 01/31/2024] Open
Abstract
High-grade serous ovarian cancer (HGSC) is a lethal malignancy with elevated replication stress (RS) levels and defective RS and RS-associated DNA damage responses. Here we demonstrate that the bromodomain-containing protein BRD1 is a RS suppressing protein that forms a replication origin regulatory complex with the histone acetyltransferase HBO1, the BRCA1 tumor suppressor, and BARD1, ORigin FIring Under Stress (ORFIUS). BRD1 and HBO1 promote eventual origin firing by supporting localization of the origin licensing protein ORC2 at origins. In the absence of BRD1 and/or HBO1, both origin firing and nuclei with ORC2 foci are reduced. BRCA1 regulates BRD1, HBO1, and ORC2 localization at replication origins. In the absence of BRCA1, both origin firing and nuclei with BRD1, HBO1, and ORC2 foci are increased. In normal and non-HGSC ovarian cancer cells, the ORFIUS complex responds to ATR and CDC7 origin regulatory signaling and disengages from origins during RS. In BRCA1-mutant and sporadic HGSC cells, BRD1, HBO1, and ORC2 remain associated with replication origins, and unresponsive to RS, DNA damage, or origin regulatory kinase inhibition. ORFIUS complex dysregulation may promote HGSC cell survival by allowing for upregulated origin firing and cell cycle progression despite accumulating DNA damage, and may be a RS target.
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Affiliation(s)
- Zelei Yang
- Department of Medical Oncology and Division of Molecular and Cellular Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Saie Mogre
- Department of Medical Oncology and Division of Molecular and Cellular Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Ruiyang He
- Department of Medical Oncology and Division of Molecular and Cellular Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Emma L Berdan
- Harvard Chan Bioinformatics Core, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Shannan J Ho Sui
- Harvard Chan Bioinformatics Core, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Sarah J Hill
- Department of Medical Oncology and Division of Molecular and Cellular Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Harvard Medical School, Boston, MA 02115, USA
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