8P23.2-Pter Microdeletions: Seven New Cases Narrowing the Candidate Region and Review of the Literature
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Cellular and Synaptic Network Defects in Autism
Cellular and synaptic network defects in autism The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Peca, Joao, and Guoping Feng. “Cellular and Synaptic Network Defects in Autism.” Current Opinion in Neurobiology 22, no. 5 (October 2012): 866–872. As Published http://dx.doi.org/10.1016/j.conb.2012.02.015 Publisher Elsevier Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/102179 Terms of Use Creative Commons Attribution-Noncommercial-NoDerivatives Detailed Terms http://creativecommons.org/licenses/by-nc-nd/4.0/ NIH Public Access Author Manuscript Curr Opin Neurobiol. Author manuscript; available in PMC 2013 October 01. Published in final edited form as: Curr Opin Neurobiol. 2012 October ; 22(5): 866–872. doi:10.1016/j.conb.2012.02.015. Cellular and synaptic network defects in autism João Peça1 and Guoping Feng1,2 $watermark-text1McGovern $watermark-text Institute $watermark-text for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA 2Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02142, USA Abstract Many candidate genes are now thought to confer susceptibility to autism spectrum disorder (ASD). Here we review four interrelated complexes, each composed of multiple families of genes that functionally coalesce on common cellular pathways. We illustrate a common thread in the organization of glutamatergic synapses and suggest a link between genes involved in Tuberous Sclerosis Complex, Fragile X syndrome, Angelman syndrome and several synaptic ASD candidate genes. When viewed in this context, progress in deciphering the molecular architecture of cellular protein-protein interactions together with the unraveling of synaptic dysfunction in neural networks may prove pivotal to advancing our understanding of ASDs. -
Association Analyses of Known Genetic Variants with Gene
ASSOCIATION ANALYSES OF KNOWN GENETIC VARIANTS WITH GENE EXPRESSION IN BRAIN by Viktoriya Strumba A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Bioinformatics) in The University of Michigan 2009 Doctoral Committee: Professor Margit Burmeister, Chair Professor Huda Akil Professor Brian D. Athey Assistant Professor Zhaohui S. Qin Research Statistician Thomas Blackwell To Sam and Valentina Dmitriy and Elizabeth ii ACKNOWLEDGEMENTS I would like to thank my advisor Professor Margit Burmeister, who tirelessly guided me though seemingly impassable corridors of graduate work. Throughout my thesis writing period she provided sound advice, encouragement and inspiration. Leading by example, her enthusiasm and dedication have been instrumental in my path to becoming a better scientist. I also would like to thank my co-advisor Tom Blackwell. His careful prodding always kept me on my toes and looking for answers, which taught me the depth of careful statistical analysis. His diligence and dedication have been irreplaceable in most difficult of projects. I also would like to thank my other committee members: Huda Akil, Brian Athey and Steve Qin as well as David States. You did not make it easy for me, but I thank you for believing and not giving up. Huda’s eloquence in every subject matter she explained have been particularly inspiring, while both Huda’s and Brian’s valuable advice made the completion of this dissertation possible. I would also like to thank all the members of the Burmeister lab, both past and present: Sandra Villafuerte, Kristine Ito, Cindy Schoen, Karen Majczenko, Ellen Schmidt, Randi Burns, Gang Su, Nan Xiang and Ana Progovac. -
Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. -
Broad Poster Vivek
A novel computational method for finding regions with copy number abnormalities in cancer cells Vivek, Manuel Garber, and Mike Zody Broad Institute of MIT and Harvard, Cambridge, MA, USA Introduction Results Cancer can result from the over expression of oncogenes, genes which control and regulate cell growth. Sometimes oncogenes increase in 1 2 3 activity due to a specific genetic mutation called a translocation (Fig 1). SMAD4 – a gene known to be deleted in pancreatic COX10 – a gene deleted in cytochrome c oxidase AK001392 – a hereditary prostate cancer protein This translocation allows the oncogene to remain as active as its paired carcinoma deficiency, known to be related to cell proliferation gene. Amplification of this mutation can occur, thereby creating the proper conditions for uncontrolled cell growth; consequently, each Results from Analysis Program Results from Analysis Program Results from Analysis Program component of the translocation will amplify in similar quantities. In this mutation, the chromosomal region containing the oncogene displaces to Region 1 Region 2 R2 Region 1 Region 2 R2 Region 1 Region 2 R2 a region on another chromosome containing a gene that is expressed Chr18:47044749-47311978 Chr17:13930739-14654741 0.499070821478475 Chr17:13930739-14654741 Chr18:26861790-27072166 0.47355172850856 Chr17:12542326-13930738 Chr8:1789292-1801984 0.406208680312004 frequently. Actual region containing gene Actual region containing gene Actual region containing gene chr18: 45,842,214 - 48,514,513 chr17: 13,966,862 - 14,068,461 chr17: 12,542,326 - 13,930,738 Fig 1. Two chromosomal regions (abcdef and ghijk) are translocating to create two new regions (abckl and ghijedf). -
Exploring the Mechanisms Underlying Excitation/Inhibition Imbalance in Human Ipsc-Derived Models of ASD Lorenza Culotta1,3 and Peter Penzes1,2,3*
Culotta and Penzes Molecular Autism (2020) 11:32 https://doi.org/10.1186/s13229-020-00339-0 REVIEW Open Access Exploring the mechanisms underlying excitation/inhibition imbalance in human iPSC-derived models of ASD Lorenza Culotta1,3 and Peter Penzes1,2,3* Abstract Autism spectrum disorder (ASD) is a range of neurodevelopmental disorders characterized by impaired social interaction and communication, and repetitive or restricted behaviors. ASD subjects exhibit complex genetic and clinical heterogeneity, thus hindering the discovery of pathophysiological mechanisms. Considering that several ASD-risk genes encode proteins involved in the regulation of synaptic plasticity, neuronal excitability, and neuronal connectivity, one hypothesis that has emerged is that ASD arises from a disruption of the neuronal network activity due to perturbation of the synaptic excitation and inhibition (E/I) balance. The development of induced pluripotent stem cell (iPSC) technology and recent advances in neuronal differentiation techniques provide a unique opportunity to model complex neuronal connectivity and to test the E/I hypothesis of ASD in human-based models. Here, we aim to review the latest advances in studying the different cellular and molecular mechanisms contributing to E/I balance using iPSC-based in vitro models of ASD. Keywords: Autism spectrum disorder, Induced pluripotent stem cell, Excitation/inhibition balance Background ASD can be classified into syndromic and non- Autism spectrum disorder (ASD) represents a spectrum of syndromic forms [4–7]. Syndromic ASD accounts for a early-onset neurodevelopmental disorders characterized by small percentage of total ASD cases; it typically occurs persistent deficits in social interaction and communication, with a clinical presentation in association with secondary as well as repetitive patterns of behavior and restricted inter- phenotypes and/or dysmorphic features [6]. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
1 Isolation and Characterization of Cul1-7, a Recessive Allele Of
Genetics: Published Articles Ahead of Print, published on February 25, 2009 as 10.1534/genetics.108.097675 Isolation and Characterization of cul1-7, a Recessive Allele of CULLIN1 that Disrupts SCF Function at the C-terminus of CUL1 in Arabidopsis thaliana Jonathan Gilkerson*,†, Jianhong Hu‡, Jessica Brown*, Alexander Jones* 1, Tai-ping Sun‡ and Judy Callis*,†,2 *Department of Molecular and Cellular Biology and †Plant Biology Graduate Group, University of California-Davis, Davis, CA 95616, ‡Department of Biology, Duke University, Durham, North Carolina 27708-1000 1 Current Address: Department of Plant and Microbial Biology, UC-Berkeley, Berkeley, CA 94720-3102 1 Running head: Characterization of cul1-7 Key words: Protein Degradation, Aux/IAA, RGA, SCF Ubiquitin Ligase, RBX1 2Corresponding Author: Judy Callis Department of Molecular and Cellular Biology University of California-Davis One Shields Avenue Davis, CA 95616 Phone: 530-752-1015 Fax: 530-752-3085 E-mail: [email protected] 2 ABSTRACT Many aspects of plant biology depend on the ubiquitin proteasome system for degradation of regulatory proteins. Ubiquitin E3 ligases confer substrate specificity in this pathway, and SCF-type ligases comprise a major class of E3s. SCF ligases have four subunits: SKP1, CUL1, RBX1, and an F-box protein for substrate recognition. The Aux/IAAs are a well- characterized family of SCF substrates in plants. Here, we report characterization of a mutant isolated from a genetic screen in Arabidopsis thaliana designed to identify plants defective in degradation of an Aux/IAA fusion protein, Aux/IAA1-luciferase (IAA1-LUC). This mutant exhibited four-fold slower IAA1-LUC degradation compared to the progenitor line, and seedlings displayed altered auxin responses. -
Identification and Functional Characterization of Rare SHANK2
OPEN Molecular Psychiatry (2015) 20, 1489–1498 © 2015 Macmillan Publishers Limited All rights reserved 1359-4184/15 www.nature.com/mp ORIGINAL ARTICLE Identification and functional characterization of rare SHANK2 variants in schizophrenia S Peykov1, S Berkel1, M Schoen2, K Weiss3, F Degenhardt4, J Strohmaier5, B Weiss1, C Proepper2, G Schratt3, MM Nöthen4,5, TM Boeckers2, M Rietschel6 and GA Rappold1,7 Recent genetic data on schizophrenia (SCZ) have suggested that proteins of the postsynaptic density of excitatory synapses have a role in its etiology. Mutations in the three SHANK genes encoding for postsynaptic scaffolding proteins have been shown to represent risk factors for autism spectrum disorders and other neurodevelopmental disorders. To address if SHANK2 variants are associated with SCZ, we sequenced SHANK2 in 481 patients and 659 unaffected individuals. We identified a significant increase in the number of rare (minor allele frequencyo1%) SHANK2 missense variants in SCZ individuals (6.9%) compared with controls (3.9%, P = 0.039). Four out of fifteen non-synonymous variants identified in the SCZ cohort (S610Y, R958S, P1119T and A1731S) were selected for functional analysis. Overexpression and knockdown-rescue experiments were carried out in cultured primary hippocampal neurons with a major focus on the analysis of morphological changes. Furthermore, the effect on actin polymerization in fibroblast cell lines was investigated. All four variants revealed functional impairment to various degrees, as a consequence of alterations in spine volume and clustering at synapses and an overall loss of presynaptic contacts. The A1731S variant was identified in four unrelated SCZ patients (0.83%) but not in any of the sequenced controls and public databases (P = 4.6 × 10 − 5). -
Lysine-Specific Demethylase 1 Is Strongly Expressed in Poorly Differentiated Neuroblastoma: Implications for Therapy
Published OnlineFirst February 17, 2009; DOI: 10.1158/0008-5472.CAN-08-1735 Research Article Lysine-Specific Demethylase 1 Is Strongly Expressed in Poorly Differentiated Neuroblastoma: Implications for Therapy Johannes H. Schulte,1 Soyoung Lim,3 Alexander Schramm,1 Nicolaus Friedrichs,3 Jan Koster,4 Rogier Versteeg,4 Ingrid Ora,4,5 Kristian Pajtler,1 Ludger Klein-Hitpass,2 Steffi Kuhfittig-Kulle,1 Eric Metzger,6 Roland Schu¨le,6 Angelika Eggert,1 Reinhard Buettner,3 and Jutta Kirfel3 1Department of Paediatric Oncology and Hematology, University Children’s Hospital Essen; 2Institute of Cell Biology, University Hospital of Essen, Essen, Germany; 3Institute of Pathology, University of Bonn, Bonn, Germany; 4Department of Human Genetics, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands; 5Department of Pediatric Oncology and Hematology, Lund University Hospital, Lund, Sweden; 6Center for Clinical Research, Freiburg University Medical Center, Freiburg, Germany Abstract often fatally progresses regardless of multimodal therapy (1, 2). Aberrant epigenetic changes in DNA methylation and histone Therefore, the identification of novel drug targets and development acetylation are hallmarks of most cancers, whereas histone of new therapeutic options are urgently needed. Patterns methylation was previously considered to be irreversible and characteristic of aggressive neuroblastoma have been identified less versatile. Recently, several histone demethylases were via high-throughput analysis, including expression profiling (3, 4) identified catalyzing the removal of methyl groups from histone and array CGH (5–7), with NMYC amplification, 1p36 and 11q H3 lysine residues and thereby influencing gene expression. deletion (8), and 17q gain being the most prominent chromosomal Neuroblastomas continue to remain a clinical challenge alterations. -
Vascular Inflammatory Response Deneddylase-1/SENP8 in Fine
Central Role for Endothelial Human Deneddylase-1/SENP8 in Fine-Tuning the Vascular Inflammatory Response This information is current as Stefan F. Ehrentraut, Douglas J. Kominsky, Louise E. of September 30, 2021. Glover, Eric L. Campbell, Caleb J. Kelly, Brittelle E. Bowers, Amanda J. Bayless and Sean P. Colgan J Immunol 2013; 190:392-400; Prepublished online 3 December 2012; doi: 10.4049/jimmunol.1202041 Downloaded from http://www.jimmunol.org/content/190/1/392 Supplementary http://www.jimmunol.org/content/suppl/2012/12/03/jimmunol.120204 Material 1.DC1 http://www.jimmunol.org/ References This article cites 53 articles, 15 of which you can access for free at: http://www.jimmunol.org/content/190/1/392.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 30, 2021 • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Central Role for Endothelial Human Deneddylase-1/SENP8 in Fine-Tuning the Vascular Inflammatory Response Stefan F. -
Neddylation: a Novel Modulator of the Tumor Microenvironment Lisha Zhou1,2*†, Yanyu Jiang3†, Qin Luo1, Lihui Li1 and Lijun Jia1*
Zhou et al. Molecular Cancer (2019) 18:77 https://doi.org/10.1186/s12943-019-0979-1 REVIEW Open Access Neddylation: a novel modulator of the tumor microenvironment Lisha Zhou1,2*†, Yanyu Jiang3†, Qin Luo1, Lihui Li1 and Lijun Jia1* Abstract Neddylation, a post-translational modification that adds an ubiquitin-like protein NEDD8 to substrate proteins, modulates many important biological processes, including tumorigenesis. The process of protein neddylation is overactivated in multiple human cancers, providing a sound rationale for its targeting as an attractive anticancer therapeutic strategy, as evidence by the development of NEDD8-activating enzyme (NAE) inhibitor MLN4924 (also known as pevonedistat). Neddylation inhibition by MLN4924 exerts significantly anticancer effects mainly by triggering cell apoptosis, senescence and autophagy. Recently, intensive evidences reveal that inhibition of neddylation pathway, in addition to acting on tumor cells, also influences the functions of multiple important components of the tumor microenvironment (TME), including immune cells, cancer-associated fibroblasts (CAFs), cancer-associated endothelial cells (CAEs) and some factors, all of which are crucial for tumorigenesis. Here, we briefly summarize the latest progresses in this field to clarify the roles of neddylation in the TME, thus highlighting the overall anticancer efficacy of neddylaton inhibition. Keywords: Neddylation, Tumor microenvironment, Tumor-derived factors, Cancer-associated fibroblasts, Cancer- associated endothelial cells, Immune cells Introduction Overall, binding of NEDD8 molecules to target proteins Neddylation is a reversible covalent conjugation of an can affect their stability, subcellular localization, conform- ubiquitin-like molecule NEDD8 (neuronal precursor ation and function [4]. The best-characterized substrates cell-expressed developmentally down-regulated protein of neddylation are the cullin subunits of Cullin-RING li- 8) to a lysine residue of the substrate protein [1, 2]. -
Impairment of Social Behaviors in Arhgef10 Knockout Mice
Lu et al. Molecular Autism (2018) 9:11 https://doi.org/10.1186/s13229-018-0197-5 RESEARCH Open Access Impairment of social behaviors in Arhgef10 knockout mice Dai-Hua Lu1, Hsiao-Mei Liao2, Chia-Hsiang Chen3,4, Huang-Ju Tu1, Houng-Chi Liou1, Susan Shur-Fen Gau2* and Wen-Mei Fu1* Abstract Background: Impaired social interaction is one of the essential features of autism spectrum disorder (ASD). Our previous copy number variation (CNV) study discovered a novel deleted region associated with ASD. One of the genes included in the deleted region is ARHGEF10. A missense mutation of ARHGEF10 has been reported to be one of the contributing factors in several diseases of the central nervous system. However, the relationship between the loss of ARHGEF10 and the clinical symptoms of ASD is unclear. Methods: We generated Arhgef10 knockout mice as a model of ASD and characterized the social behavior and the biochemical changes in the brains of the knockout mice. Results: Compared with their wild-type littermates, the Arhgef10-depleted mice showed social interaction impairment, hyperactivity, and decreased depression-like and anxiety-like behavior. Behavioral measures of learning in the Morris water maze were not affected by Arhgef10 deficiency. Moreover, neurotransmitters including serotonin, norepinephrine, and dopamine were significantly increased in different brain regions of the Arhgef10 knockout mice. In addition, monoamine oxidase A (MAO-A) decreased in several brain regions. Conclusions: These results suggest that ARHGEF10 is a candidate risk gene for ASD and that the Arhgef10 knockout model could be a tool for studying the mechanisms of neurotransmission in ASD.