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Johnson OD, Paul S, Gutierrez JA, Russell WK, Ward MC. DNA damage-associated protein co-expression network in cardiomyocytes informs on tolerance to genetic variation and disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.14.607863. [PMID: 39185220 PMCID: PMC11343126 DOI: 10.1101/2024.08.14.607863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
Cardiovascular disease (CVD) is associated with both genetic variants and environmental factors. One unifying consequence of the molecular risk factors in CVD is DNA damage, which must be repaired by DNA damage response proteins. However, the impact of DNA damage on global cardiomyocyte protein abundance, and its relationship to CVD risk remains unclear. We therefore treated induced pluripotent stem cell-derived cardiomyocytes with the DNA-damaging agent Doxorubicin (DOX) and a vehicle control, and identified 4,178 proteins that contribute to a network comprising 12 co-expressed modules and 403 hub proteins with high intramodular connectivity. Five modules correlate with DOX and represent distinct biological processes including RNA processing, chromatin regulation and metabolism. DOX-correlated hub proteins are depleted for proteins that vary in expression across individuals due to genetic variation but are enriched for proteins encoded by loss-of-function intolerant genes. While proteins associated with genetic risk for CVD, such as arrhythmia are enriched in specific DOX-correlated modules, DOX-correlated hub proteins are not enriched for known CVD risk proteins. Instead, they are enriched among proteins that physically interact with CVD risk proteins. Our data demonstrate that DNA damage in cardiomyocytes induces diverse effects on biological processes through protein co-expression modules that are relevant for CVD, and that the level of protein connectivity in DNA damage-associated modules influences the tolerance to genetic variation.
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Affiliation(s)
- Omar D. Johnson
- Biochemistry, Cellular and Molecular Biology Graduate Program, University of Texas Medical Branch, Galveston, Texas, USA
- MD-PhD Combined Degree Program, University of Texas Medical Branch, Galveston, Texas, USA
| | - Sayan Paul
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Jose A. Gutierrez
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA
| | - William K. Russell
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Michelle C. Ward
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA
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2
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Gao Y, Shonai D, Trn M, Zhao J, Soderblom EJ, Garcia-Moreno SA, Gersbach CA, Wetsel WC, Dawson G, Velmeshev D, Jiang YH, Sloofman LG, Buxbaum JD, Soderling SH. Proximity analysis of native proteomes reveals phenotypic modifiers in a mouse model of autism and related neurodevelopmental conditions. Nat Commun 2024; 15:6801. [PMID: 39122707 PMCID: PMC11316102 DOI: 10.1038/s41467-024-51037-x] [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: 02/20/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
One of the main drivers of autism spectrum disorder is risk alleles within hundreds of genes, which may interact within shared but unknown protein complexes. Here we develop a scalable genome-editing-mediated approach to target 14 high-confidence autism risk genes within the mouse brain for proximity-based endogenous proteomics, achieving the identification of high-specificity spatial proteomes. The resulting native proximity proteomes are enriched for human genes dysregulated in the brain of autistic individuals, and reveal proximity interactions between proteins from high-confidence risk genes with those of lower-confidence that may provide new avenues to prioritize genetic risk. Importantly, the datasets are enriched for shared cellular functions and genetic interactions that may underlie the condition. We test this notion by spatial proteomics and CRISPR-based regulation of expression in two autism models, demonstrating functional interactions that modulate mechanisms of their dysregulation. Together, these results reveal native proteome networks in vivo relevant to autism, providing new inroads for understanding and manipulating the cellular drivers underpinning its etiology.
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Affiliation(s)
- Yudong Gao
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Daichi Shonai
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Matthew Trn
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
| | - Jieqing Zhao
- Department of Biology, Duke University, Durham, NC, USA
| | - Erik J Soderblom
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
- Proteomics and Metabolomics Shared Resource, Duke University School of Medicine, Durham, NC, USA
| | | | - Charles A Gersbach
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Center for Advanced Genomic Technologies, Duke University, Durham, NC, USA
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - William C Wetsel
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Department of Neurobiology, Duke University School of Medicine, Durham, NC, USA
- Mouse Behavioral and Neuroendocrine Analysis Core Facility, Duke University School of Medicine, Durham, NC, USA
| | - Geraldine Dawson
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Dmitry Velmeshev
- Department of Neurobiology, Duke University School of Medicine, Durham, NC, USA
| | - Yong-Hui Jiang
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Laura G Sloofman
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph D Buxbaum
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Scott H Soderling
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA.
- Department of Neurobiology, Duke University School of Medicine, Durham, NC, USA.
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3
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Starr AL, Fraser HB. A general principle governing neuronal evolution reveals a human-accelerated neuron type potentially underlying the high prevalence of autism in humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.02.606407. [PMID: 39131279 PMCID: PMC11312593 DOI: 10.1101/2024.08.02.606407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
The remarkable ability of a single genome sequence to encode a diverse collection of distinct cell types, including the thousands of cell types found in the mammalian brain, is a key characteristic of multicellular life. While it has been observed that some cell types are far more evolutionarily conserved than others, the factors driving these differences in evolutionary rate remain unknown. Here, we hypothesized that highly abundant neuronal cell types may be under greater selective constraint than rarer neuronal types, leading to variation in their rates of evolution. To test this, we leveraged recently published cross-species single-nucleus RNA-sequencing datasets from three distinct regions of the mammalian neocortex. We found a strikingly consistent relationship where more abundant neuronal subtypes show greater gene expression conservation between species, which replicated across three independent datasets covering >106 neurons from six species. Based on this principle, we discovered that the most abundant type of neocortical neurons-layer 2/3 intratelencephalic excitatory neurons-has evolved exceptionally quickly in the human lineage compared to other apes. Surprisingly, this accelerated evolution was accompanied by the dramatic down-regulation of autism-associated genes, which was likely driven by polygenic positive selection specific to the human lineage. In sum, we introduce a general principle governing neuronal evolution and suggest that the exceptionally high prevalence of autism in humans may be a direct result of natural selection for lower expression of a suite of genes that conferred a fitness benefit to our ancestors while also rendering an abundant class of neurons more sensitive to perturbation.
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Affiliation(s)
| | - Hunter B. Fraser
- Department of Biology, Stanford University, Stanford, CA 94305, USA
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4
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Guerra M, Medici V, La Sala G, Farini D. Unravelling the Cerebellar Involvement in Autism Spectrum Disorders: Insights into Genetic Mechanisms and Developmental Pathways. Cells 2024; 13:1176. [PMID: 39056758 PMCID: PMC11275240 DOI: 10.3390/cells13141176] [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: 05/30/2024] [Revised: 07/05/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024] Open
Abstract
Autism spectrum disorders (ASDs) are complex neurodevelopmental conditions characterized by deficits in social interaction and communication, as well as repetitive behaviors. Although the etiology of ASD is multifactorial, with both genetic and environmental factors contributing to its development, a strong genetic basis is widely recognized. Recent research has identified numerous genetic mutations and genomic rearrangements associated with ASD-characterizing genes involved in brain development. Alterations in developmental programs are particularly harmful during critical periods of brain development. Notably, studies have indicated that genetic disruptions occurring during the second trimester of pregnancy affect cortical development, while disturbances in the perinatal and early postnatal period affect cerebellar development. The developmental defects must be viewed in the context of the role of the cerebellum in cognitive processes, which is now well established. The present review emphasizes the genetic complexity and neuropathological mechanisms underlying ASD and aims to provide insights into the cerebellar involvement in the disorder, focusing on recent advances in the molecular landscape governing its development in humans. Furthermore, we highlight when and in which cerebellar neurons the ASD-associated genes may play a role in the development of cortico-cerebellar circuits. Finally, we discuss improvements in protocols for generating cerebellar organoids to recapitulate the long period of development and maturation of this organ. These models, if generated from patient-induced pluripotent stem cells (iPSC), could provide a valuable approach to elucidate the contribution of defective genes to ASD pathology and inform diagnostic and therapeutic strategies.
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Affiliation(s)
- Marika Guerra
- Department of Neuroscience, Section of Human Anatomy, Catholic University of the Sacred Hearth, 00168 Rome, Italy; (M.G.); (V.M.)
| | - Vanessa Medici
- Department of Neuroscience, Section of Human Anatomy, Catholic University of the Sacred Hearth, 00168 Rome, Italy; (M.G.); (V.M.)
| | - Gina La Sala
- Institute of Biochemistry and Cell Biology, Italian National Research Council (CNR), 00015 Monterotondo Scalo, Italy
| | - Donatella Farini
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
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5
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Salemi M, Schillaci FA, Lanza G, Marchese G, Salluzzo MG, Cordella A, Caniglia S, Bruccheri MG, Truda A, Greco D, Ferri R, Romano C. Transcriptome Study in Sicilian Patients with Autism Spectrum Disorder. Biomedicines 2024; 12:1402. [PMID: 39061976 PMCID: PMC11274004 DOI: 10.3390/biomedicines12071402] [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: 04/24/2024] [Revised: 06/12/2024] [Accepted: 06/14/2024] [Indexed: 07/28/2024] Open
Abstract
ASD is a complex condition primarily rooted in genetics, although influenced by environmental, prenatal, and perinatal risk factors, ultimately leading to genetic and epigenetic alterations. These mechanisms may manifest as inflammatory, oxidative stress, hypoxic, or ischemic damage. To elucidate potential variances in gene expression in ASD, a transcriptome analysis of peripheral blood mononuclear cells was conducted via RNA-seq on 12 ASD patients and 13 healthy controls, all of Sicilian ancestry to minimize environmental confounds. A total of 733 different statistically significant genes were identified between the two cohorts. Gene Set Enrichment Analysis (GSEA) and Gene Ontology (GO) terms were employed to explore the pathways influenced by differentially expressed mRNAs. GSEA revealed GO pathways strongly associated with ASD, namely the GO Biological Process term "Response to Oxygen-Containing Compound". Additionally, the GO Cellular Component pathway "Mitochondrion" stood out among other pathways, with differentially expressed genes predominantly affiliated with this specific pathway, implicating the involvement of different mitochondrial functions in ASD. Among the differentially expressed genes, FPR2 was particularly highlighted, belonging to three GO pathways. FPR2 can modulate pro-inflammatory responses, with its intracellular cascades triggering the activation of several kinases, thus suggesting its potential utility as a biomarker of pro-inflammatory processes in ASD.
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Affiliation(s)
- Michele Salemi
- Oasi Research Institute—IRCCS, 94018 Troina, Italy; (F.A.S.); (G.L.); (M.G.S.); (S.C.); (M.G.B.); (D.G.); (R.F.); (C.R.)
| | - Francesca A. Schillaci
- Oasi Research Institute—IRCCS, 94018 Troina, Italy; (F.A.S.); (G.L.); (M.G.S.); (S.C.); (M.G.B.); (D.G.); (R.F.); (C.R.)
| | - Giuseppe Lanza
- Oasi Research Institute—IRCCS, 94018 Troina, Italy; (F.A.S.); (G.L.); (M.G.S.); (S.C.); (M.G.B.); (D.G.); (R.F.); (C.R.)
- Department of Surgery and Medical—Surgical Specialties, University of Catania, 95124 Catania, Italy
| | - Giovanna Marchese
- Genomix4Life S.r.l., 84081 Baronissi, Italy; (G.M.); (A.C.); (A.T.)
- Genome Research Center for Health—CRGS, 84081 Baronissi, Italy
| | - Maria Grazia Salluzzo
- Oasi Research Institute—IRCCS, 94018 Troina, Italy; (F.A.S.); (G.L.); (M.G.S.); (S.C.); (M.G.B.); (D.G.); (R.F.); (C.R.)
| | - Angela Cordella
- Genomix4Life S.r.l., 84081 Baronissi, Italy; (G.M.); (A.C.); (A.T.)
- Genome Research Center for Health—CRGS, 84081 Baronissi, Italy
| | - Salvatore Caniglia
- Oasi Research Institute—IRCCS, 94018 Troina, Italy; (F.A.S.); (G.L.); (M.G.S.); (S.C.); (M.G.B.); (D.G.); (R.F.); (C.R.)
| | - Maria Grazia Bruccheri
- Oasi Research Institute—IRCCS, 94018 Troina, Italy; (F.A.S.); (G.L.); (M.G.S.); (S.C.); (M.G.B.); (D.G.); (R.F.); (C.R.)
| | - Anna Truda
- Genomix4Life S.r.l., 84081 Baronissi, Italy; (G.M.); (A.C.); (A.T.)
- Genome Research Center for Health—CRGS, 84081 Baronissi, Italy
| | - Donatella Greco
- Oasi Research Institute—IRCCS, 94018 Troina, Italy; (F.A.S.); (G.L.); (M.G.S.); (S.C.); (M.G.B.); (D.G.); (R.F.); (C.R.)
| | - Raffaele Ferri
- Oasi Research Institute—IRCCS, 94018 Troina, Italy; (F.A.S.); (G.L.); (M.G.S.); (S.C.); (M.G.B.); (D.G.); (R.F.); (C.R.)
| | - Corrado Romano
- Oasi Research Institute—IRCCS, 94018 Troina, Italy; (F.A.S.); (G.L.); (M.G.S.); (S.C.); (M.G.B.); (D.G.); (R.F.); (C.R.)
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95124 Catania, Italy
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6
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Deritei D, Inuzuka H, Castaldi PJ, Yun JH, Xu Z, Anamika WJ, Asara JM, Guo F, Zhou X, Glass K, Wei W, Silverman EK. HHIP protein interactions in lung cells provide insight into COPD pathogenesis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.01.586839. [PMID: 38617310 PMCID: PMC11014494 DOI: 10.1101/2024.04.01.586839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide. The primary causes of COPD are environmental, including cigarette smoking; however, genetic susceptibility also contributes to COPD risk. Genome-Wide Association Studies (GWASes) have revealed more than 80 genetic loci associated with COPD, leading to the identification of multiple COPD GWAS genes. However, the biological relationships between the identified COPD susceptibility genes are largely unknown. Genes associated with a complex disease are often in close network proximity, i.e. their protein products often interact directly with each other and/or similar proteins. In this study, we use affinity purification mass spectrometry (AP-MS) to identify protein interactions with HHIP , a well-established COPD GWAS gene which is part of the sonic hedgehog pathway, in two disease-relevant lung cell lines (IMR90 and 16HBE). To better understand the network neighborhood of HHIP , its proximity to the protein products of other COPD GWAS genes, and its functional role in COPD pathogenesis, we create HUBRIS, a protein-protein interaction network compiled from 8 publicly available databases. We identified both common and cell type-specific protein-protein interactors of HHIP. We find that our newly identified interactions shorten the network distance between HHIP and the protein products of several COPD GWAS genes, including DSP, MFAP2, TET2 , and FBLN5 . These new shorter paths include proteins that are encoded by genes involved in extracellular matrix and tissue organization. We found and validated interactions to proteins that provide new insights into COPD pathobiology, including CAVIN1 (IMR90) and TP53 (16HBE). The newly discovered HHIP interactions with CAVIN1 and TP53 implicate HHIP in response to oxidative stress.
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7
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Zhuang H, Liang Z, Ma G, Qureshi A, Ran X, Feng C, Liu X, Yan X, Shen L. Autism spectrum disorder: pathogenesis, biomarker, and intervention therapy. MedComm (Beijing) 2024; 5:e497. [PMID: 38434761 PMCID: PMC10908366 DOI: 10.1002/mco2.497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 03/05/2024] Open
Abstract
Autism spectrum disorder (ASD) has become a common neurodevelopmental disorder. The heterogeneity of ASD poses great challenges for its research and clinical translation. On the basis of reviewing the heterogeneity of ASD, this review systematically summarized the current status and progress of pathogenesis, diagnostic markers, and interventions for ASD. We provided an overview of the ASD molecular mechanisms identified by multi-omics studies and convergent mechanism in different genetic backgrounds. The comorbidities, mechanisms associated with important physiological and metabolic abnormalities (i.e., inflammation, immunity, oxidative stress, and mitochondrial dysfunction), and gut microbial disorder in ASD were reviewed. The non-targeted omics and targeting studies of diagnostic markers for ASD were also reviewed. Moreover, we summarized the progress and methods of behavioral and educational interventions, intervention methods related to technological devices, and research on medical interventions and potential drug targets. This review highlighted the application of high-throughput omics methods in ASD research and emphasized the importance of seeking homogeneity from heterogeneity and exploring the convergence of disease mechanisms, biomarkers, and intervention approaches, and proposes that taking into account individuality and commonality may be the key to achieve accurate diagnosis and treatment of ASD.
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Affiliation(s)
- Hongbin Zhuang
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Zhiyuan Liang
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Guanwei Ma
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Ayesha Qureshi
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Xiaoqian Ran
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Chengyun Feng
- Maternal and Child Health Hospital of BaoanShenzhenP. R. China
| | - Xukun Liu
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Xi Yan
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Liming Shen
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
- Shenzhen‐Hong Kong Institute of Brain Science‐Shenzhen Fundamental Research InstitutionsShenzhenP. R. China
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8
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Wang B, Vartak R, Zaltsman Y, Naing ZZC, Hennick KM, Polacco BJ, Bashir A, Eckhardt M, Bouhaddou M, Xu J, Sun N, Lasser MC, Zhou Y, McKetney J, Guiley KZ, Chan U, Kaye JA, Chadha N, Cakir M, Gordon M, Khare P, Drake S, Drury V, Burke DF, Gonzalez S, Alkhairy S, Thomas R, Lam S, Morris M, Bader E, Seyler M, Baum T, Krasnoff R, Wang S, Pham P, Arbalaez J, Pratt D, Chag S, Mahmood N, Rolland T, Bourgeron T, Finkbeiner S, Swaney DL, Bandyopadhay S, Ideker T, Beltrao P, Willsey HR, Obernier K, Nowakowski TJ, Hüttenhain R, State MW, Willsey AJ, Krogan NJ. A foundational atlas of autism protein interactions reveals molecular convergence. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.03.569805. [PMID: 38076945 PMCID: PMC10705567 DOI: 10.1101/2023.12.03.569805] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Translating high-confidence (hc) autism spectrum disorder (ASD) genes into viable treatment targets remains elusive. We constructed a foundational protein-protein interaction (PPI) network in HEK293T cells involving 100 hcASD risk genes, revealing over 1,800 PPIs (87% novel). Interactors, expressed in the human brain and enriched for ASD but not schizophrenia genetic risk, converged on protein complexes involved in neurogenesis, tubulin biology, transcriptional regulation, and chromatin modification. A PPI map of 54 patient-derived missense variants identified differential physical interactions, and we leveraged AlphaFold-Multimer predictions to prioritize direct PPIs and specific variants for interrogation in Xenopus tropicalis and human forebrain organoids. A mutation in the transcription factor FOXP1 led to reconfiguration of DNA binding sites and altered development of deep cortical layer neurons in forebrain organoids. This work offers new insights into molecular mechanisms underlying ASD and describes a powerful platform to develop and test therapeutic strategies for many genetically-defined conditions.
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9
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Liu QQ, Mi J, Du YY, Rong Z, Qin Y, Jiang W, Li X, Yu JY, Yang L, Du XY, Yang Q, Guo YY. Lotusine ameliorates propionic acid-induced autism spectrum disorder-like behavior in mice by activating D1 dopamine receptor in medial prefrontal cortex. Phytother Res 2024; 38:1089-1103. [PMID: 38168755 DOI: 10.1002/ptr.8098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 11/10/2023] [Accepted: 11/26/2023] [Indexed: 01/05/2024]
Abstract
Autism spectrum disorder (ASD) is a multifaceted neuropsychiatric condition for which effective drug therapy for core clinical symptoms remains elusive. Lotusine, known for its neuroprotective properties in the treatment of neurological disorders, holds potential in addressing ASD. Nevertheless, its specific efficacy in ASD remains uncertain. This study aims to investigate the therapeutic potential of lotusine in ASD and elucidate the underlying molecular mechanisms. We induced an ASD mouse model through intracerebroventricular-propionic acid (ICV-PPA) injection for 7 days, followed by lotusine administration for 5 days. The efficacy of lotusine was evaluated through a battery of behavioral tests, including the three-chamber social test. The underlying mechanisms of lotusine action in ameliorating ASD-like behavior were investigated in the medial prefrontal cortex (mPFC) using whole-cell patch-clamp recordings, western blotting, immunofluorescence staining, molecular docking, and cellular thermal shift assay. The efficacy and mechanisms of lotusine were further validated in vitro. Lotusine effectively alleviated social deficits induced by ICV-PPA injection in mice by counteracting the reduction in miniature excitatory postsynaptic current frequency within the mPFC. Moreover, lotusine enhanced neuronal activity and ameliorated α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor dysfunction in ICV-PPA infusion mice by upregulating c-fos, p-GluA1 Ser 845, and p-GluA1 Ser 831 protein levels within the mPFC. Our findings also suggest that lotusine may exert its effects through modulation of the D1 dopamine receptor (DRD1). Furthermore, the rescuing effects of lotusine were nullified by a DRD1 antagonist in PC12 cells. In summary, our results revealed that lotusine ameliorates ASD-like behavior through targeted modulation of DRD1, ultimately enhancing excitatory synaptic transmission. These findings highlight the potential of lotusine as a nutritional supplement in the treatment of ASD.
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Affiliation(s)
- Qing-Qing Liu
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
| | - Jie Mi
- Department of Clinical Laboratory, Xi'an Children's Hospital, Xi'An, PR China
| | - Ya-Ya Du
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
| | - Zheng Rong
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
| | - Yan Qin
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
| | - Wei Jiang
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
| | - Xi Li
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
| | - Jiao-Yan Yu
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
| | - Le Yang
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
| | - Xiao-Yan Du
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
| | - Qi Yang
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
| | - Yan-Yan Guo
- Department of Pharmacy, Tangdu Hospital, The Fourth Military Medical University, Xi'An, PR China
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10
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Zhu QM, Hsu YHH, Lassen FH, MacDonald BT, Stead S, Malolepsza E, Kim A, Li T, Mizoguchi T, Schenone M, Guzman G, Tanenbaum B, Fornelos N, Carr SA, Gupta RM, Ellinor PT, Lage K. Protein interaction networks in the vasculature prioritize genes and pathways underlying coronary artery disease. Commun Biol 2024; 7:87. [PMID: 38216744 PMCID: PMC10786878 DOI: 10.1038/s42003-023-05705-1] [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: 09/18/2023] [Accepted: 12/13/2023] [Indexed: 01/14/2024] Open
Abstract
Population-based association studies have identified many genetic risk loci for coronary artery disease (CAD), but it is often unclear how genes within these loci are linked to CAD. Here, we perform interaction proteomics for 11 CAD-risk genes to map their protein-protein interactions (PPIs) in human vascular cells and elucidate their roles in CAD. The resulting PPI networks contain interactions that are outside of known biology in the vasculature and are enriched for genes involved in immunity-related and arterial-wall-specific mechanisms. Several PPI networks derived from smooth muscle cells are significantly enriched for genetic variants associated with CAD and related vascular phenotypes. Furthermore, the networks identify 61 genes that are found in genetic loci associated with risk of CAD, prioritizing them as the causal candidates within these loci. These findings indicate that the PPI networks we have generated are a rich resource for guiding future research into the molecular pathogenesis of CAD.
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Affiliation(s)
- Qiuyu Martin Zhu
- Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Yu-Han H Hsu
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Frederik H Lassen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Bryan T MacDonald
- Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephanie Stead
- Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Edyta Malolepsza
- Genomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - April Kim
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Taibo Li
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Taiji Mizoguchi
- Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Monica Schenone
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gaelen Guzman
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Benjamin Tanenbaum
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nadine Fornelos
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Steven A Carr
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rajat M Gupta
- Divisions of Cardiovascular Medicine and Genetics, Brigham and Women's Hospital, Boston, MA, USA
| | - Patrick T Ellinor
- Cardiovascular Disease Initiative & Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
| | - Kasper Lage
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark.
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11
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Iannuccelli M, Vitriolo A, Licata L, Lo Surdo P, Contino S, Cheroni C, Capocefalo D, Castagnoli L, Testa G, Cesareni G, Perfetto L. Curation of causal interactions mediated by genes associated with autism accelerates the understanding of gene-phenotype relationships underlying neurodevelopmental disorders. Mol Psychiatry 2024; 29:186-196. [PMID: 38102483 PMCID: PMC11078740 DOI: 10.1038/s41380-023-02317-3] [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: 02/20/2023] [Revised: 10/14/2023] [Accepted: 10/31/2023] [Indexed: 12/17/2023]
Abstract
Autism spectrum disorder (ASD) comprises a large group of neurodevelopmental conditions featuring, over a wide range of severity and combinations, a core set of manifestations (restricted sociality, stereotyped behavior and language impairment) alongside various comorbidities. Common and rare variants in several hundreds of genes and regulatory regions have been implicated in the molecular pathogenesis of ASD along a range of causation evidence strength. Despite significant progress in elucidating the impact of few paradigmatic individual loci, such sheer complexity in the genetic architecture underlying ASD as a whole has hampered the identification of convergent actionable hubs hypothesized to relay between the vastness of risk alleles and the core phenotypes. In turn this has limited the development of strategies that can revert or ameliorate this condition, calling for a systems-level approach to probe the cross-talk of cooperating genes in terms of causal interaction networks in order to make convergences experimentally tractable and reveal their clinical actionability. As a first step in this direction, we have captured from the scientific literature information on the causal links between the genes whose variants have been associated with ASD and the whole human proteome. This information has been annotated in a computer readable format in the SIGNOR database and is made freely available in the resource website. To link this information to cell functions and phenotypes, we have developed graph algorithms that estimate the functional distance of any protein in the SIGNOR causal interactome to phenotypes and pathways. The main novelty of our approach resides in the possibility to explore the mechanistic links connecting the suggested gene-phenotype relations.
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Affiliation(s)
- Marta Iannuccelli
- Department of Biology, University of Rome Tor Vergata, Via Della Ricerca Scientifica, 00133, Rome, Italy
| | - Alessandro Vitriolo
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Via Santa Sofia 9, 20122, Milan, Italy
| | - Luana Licata
- Department of Biology, University of Rome Tor Vergata, Via Della Ricerca Scientifica, 00133, Rome, Italy
- Computational Biology Research Centre, Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy
| | - Prisca Lo Surdo
- Department of Biology, University of Rome Tor Vergata, Via Della Ricerca Scientifica, 00133, Rome, Italy
- Computational Biology Research Centre, Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy
| | - Silvia Contino
- Department of Biology, University of Rome Tor Vergata, Via Della Ricerca Scientifica, 00133, Rome, Italy
| | - Cristina Cheroni
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Via Santa Sofia 9, 20122, Milan, Italy
| | - Daniele Capocefalo
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Via Santa Sofia 9, 20122, Milan, Italy
| | - Luisa Castagnoli
- Department of Biology, University of Rome Tor Vergata, Via Della Ricerca Scientifica, 00133, Rome, Italy
| | - Giuseppe Testa
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy.
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy.
- Department of Oncology and Hemato-Oncology, University of Milan, Via Santa Sofia 9, 20122, Milan, Italy.
| | - Gianni Cesareni
- Department of Biology, University of Rome Tor Vergata, Via Della Ricerca Scientifica, 00133, Rome, Italy.
| | - Livia Perfetto
- Computational Biology Research Centre, Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy.
- Department of Biology and Biotechnologies 'Charles Darwin', Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy.
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12
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Shin T, Song JH, Kosicki M, Kenny C, Beck SG, Kelley L, Qian X, Bonacina J, Papandile F, Antony I, Gonzalez D, Scotellaro J, Bushinsky EM, Andersen RE, Maury E, Pennacchio LA, Doan RN, Walsh CA. Rare variation in noncoding regions with evolutionary signatures contributes to autism spectrum disorder risk. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.19.23295780. [PMID: 37790480 PMCID: PMC10543033 DOI: 10.1101/2023.09.19.23295780] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Little is known about the role of noncoding regions in the etiology of autism spectrum disorder (ASD). We examined three classes of noncoding regions: Human Accelerated Regions (HARs), which show signatures of positive selection in humans; experimentally validated neural Vista Enhancers (VEs); and conserved regions predicted to act as neural enhancers (CNEs). Targeted and whole genome analysis of >16,600 samples and >4900 ASD probands revealed that likely recessive, rare, inherited variants in HARs, VEs, and CNEs substantially contribute to ASD risk in probands whose parents share ancestry, which enriches for recessive contributions, but modestly, if at all, in simplex family structures. We identified multiple patient variants in HARs near IL1RAPL1 and in a VE near SIM1 and showed that they change enhancer activity. Our results implicate both human-evolved and evolutionarily conserved noncoding regions in ASD risk and suggest potential mechanisms of how changes in regulatory regions can modulate social behavior.
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Affiliation(s)
- Taehwan Shin
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Janet H.T. Song
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Michael Kosicki
- Environmental Genomics & Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Connor Kenny
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Samantha G. Beck
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Lily Kelley
- Division of Genetics and Genomics, Boston Children’s Hospital; Department of Pediatrics, Harvard Medical School; Allen Discovery Center for Human Brain Evolution, Boston, MA, 02115, USA
| | - Xuyu Qian
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Julieta Bonacina
- Division of Genetics and Genomics, Boston Children’s Hospital; Department of Pediatrics, Harvard Medical School; Allen Discovery Center for Human Brain Evolution, Boston, MA, 02115, USA
| | - Frances Papandile
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Irene Antony
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Dilenny Gonzalez
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Julia Scotellaro
- Division of Genetics and Genomics, Boston Children’s Hospital; Department of Pediatrics, Harvard Medical School; Allen Discovery Center for Human Brain Evolution, Boston, MA, 02115, USA
| | - Evan M. Bushinsky
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Rebecca E. Andersen
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Eduardo Maury
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
| | - Len A. Pennacchio
- Environmental Genomics & Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ryan N. Doan
- Division of Genetics and Genomics, Boston Children’s Hospital; Department of Pediatrics, Harvard Medical School; Allen Discovery Center for Human Brain Evolution, Boston, MA, 02115, USA
| | - Christopher A. Walsh
- Division of Genetics and Genomics, Boston Children’s Hospital; Departments of Pediatrics and Neurology, Harvard Medical School; Allen Discovery Center for Human Brain Evolution; Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, 02115, USA
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13
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Hsu YHH, Pintacuda G, Liu R, Nacu E, Kim A, Tsafou K, Petrossian N, Crotty W, Suh JM, Riseman J, Martin JM, Biagini JC, Mena D, Ching JK, Malolepsza E, Li T, Singh T, Ge T, Egri SB, Tanenbaum B, Stanclift CR, Apffel AM, Carr SA, Schenone M, Jaffe J, Fornelos N, Huang H, Eggan KC, Lage K. Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia. iScience 2023; 26:106701. [PMID: 37207277 PMCID: PMC10189495 DOI: 10.1016/j.isci.2023.106701] [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: 05/11/2022] [Revised: 03/27/2023] [Accepted: 04/14/2023] [Indexed: 05/21/2023] Open
Abstract
Genetics have nominated many schizophrenia risk genes and identified convergent signals between schizophrenia and neurodevelopmental disorders. However, functional interpretation of the nominated genes in the relevant brain cell types is often lacking. We executed interaction proteomics for six schizophrenia risk genes that have also been implicated in neurodevelopment in human induced cortical neurons. The resulting protein network is enriched for common variant risk of schizophrenia in Europeans and East Asians, is down-regulated in layer 5/6 cortical neurons of individuals affected by schizophrenia, and can complement fine-mapping and eQTL data to prioritize additional genes in GWAS loci. A sub-network centered on HCN1 is enriched for common variant risk and contains proteins (HCN4 and AKAP11) enriched for rare protein-truncating mutations in individuals with schizophrenia and bipolar disorder. Our findings showcase brain cell-type-specific interactomes as an organizing framework to facilitate interpretation of genetic and transcriptomic data in schizophrenia and its related disorders.
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Affiliation(s)
- Yu-Han H. Hsu
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Greta Pintacuda
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Stem Cell Institute and Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Ruize Liu
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Eugeniu Nacu
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Stem Cell Institute and Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - April Kim
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Kalliopi Tsafou
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Natalie Petrossian
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - William Crotty
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jung Min Suh
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jackson Riseman
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jacqueline M. Martin
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Julia C. Biagini
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daya Mena
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Joshua K.T. Ching
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Edyta Malolepsza
- Genomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Taibo Li
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tarjinder Singh
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Tian Ge
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Shawn B. Egri
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Benjamin Tanenbaum
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Annie M. Apffel
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Steven A. Carr
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Monica Schenone
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jake Jaffe
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Nadine Fornelos
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Hailiang Huang
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Kevin C. Eggan
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Stem Cell Institute and Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Kasper Lage
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen, 4000 Roskilde, Denmark
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