Germline Chd8 Haploinsufficiency Alters Brain Development in Mouse
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Mutational Landscape Differences Between Young-Onset and Older-Onset Breast Cancer Patients Nicole E
Mealey et al. BMC Cancer (2020) 20:212 https://doi.org/10.1186/s12885-020-6684-z RESEARCH ARTICLE Open Access Mutational landscape differences between young-onset and older-onset breast cancer patients Nicole E. Mealey1 , Dylan E. O’Sullivan2 , Joy Pader3 , Yibing Ruan3 , Edwin Wang4 , May Lynn Quan1,5,6 and Darren R. Brenner1,3,5* Abstract Background: The incidence of breast cancer among young women (aged ≤40 years) has increased in North America and Europe. Fewer than 10% of cases among young women are attributable to inherited BRCA1 or BRCA2 mutations, suggesting an important role for somatic mutations. This study investigated genomic differences between young- and older-onset breast tumours. Methods: In this study we characterized the mutational landscape of 89 young-onset breast tumours (≤40 years) and examined differences with 949 older-onset tumours (> 40 years) using data from The Cancer Genome Atlas. We examined mutated genes, mutational load, and types of mutations. We used complementary R packages “deconstructSigs” and “SomaticSignatures” to extract mutational signatures. A recursively partitioned mixture model was used to identify whether combinations of mutational signatures were related to age of onset. Results: Older patients had a higher proportion of mutations in PIK3CA, CDH1, and MAP3K1 genes, while young- onset patients had a higher proportion of mutations in GATA3 and CTNNB1. Mutational load was lower for young- onset tumours, and a higher proportion of these mutations were C > A mutations, but a lower proportion were C > T mutations compared to older-onset tumours. The most common mutational signatures identified in both age groups were signatures 1 and 3 from the COSMIC database. -
Human Brain Organoids Reveal Accelerated Development of Cortical Neuron Classes As a Shared Feature of Autism Risk Genes
bioRxiv preprint doi: https://doi.org/10.1101/2020.11.10.376509; this version posted November 12, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Human brain organoids reveal accelerated development of cortical neuron classes as a shared feature of autism risk genes Bruna Paulsen1,2,†, Silvia Velasco1,2,†,#, Amanda J. Kedaigle1,2,3,†, Martina Pigoni1,2,†, Giorgia Quadrato4,5 Anthony Deo2,6,7,8, Xian Adiconis2,3, Ana Uzquiano1,2, Kwanho Kim1,2,3, Sean K. Simmons2,3, Kalliopi Tsafou2, Alex Albanese9, Rafaela Sartore1,2, Catherine Abbate1,2, Ashley Tucewicz1,2, Samantha Smith1,2, Kwanghun Chung9,10,11,12, Kasper Lage2,13, Aviv Regev3,14, Joshua Z. Levin2,3, Paola Arlotta1,2,# † These authors contributed equally to the work # Correspondence should be addressed to [email protected] and [email protected] 1 Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA 2 Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA 3 Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA 4 Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; 5 Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research at the University of Southern California, Los Angeles, CA 90033, USA. 6 Department of Psychiatry, -
CCAR1 Polyclonal Antibody
PRODUCT DATA SHEET Bioworld Technology,Inc. CCAR1 polyclonal antibody Catalog: BS8140 Host: Rabbit Reactivity: Human BackGround: by affinity-chromatography using epitope-specific im- CARP-1 (cell division cycle and apoptosis regulator 1), munogen and the purity is > 95% (by SDS-PAGE). also known as CCAR1 or DIS, is a 1,150 amino acid pro- Applications: tein that localizes to the perinuclear region of the cyto- WB 1:500 - 1:2000 plasm and contains one SAP domain. Expressed in sever- IF 1:50 - 1:200 al epithelial cancer cell lines, including breast, colon, IP 1:50 - 1:100 prostate and leukemia, CARP-1 is involved in apoptotic Storage&Stability: signaling, as well as in cell cycle progression and cell Store at 4°C short term. Aliquot and store at -20°C long proliferation via interaction with c-Myc and cyclin B1. term. Avoid freeze-thaw cycles. CARP-1 is subject to DNA damage-induced phosphory- Specificity: lation, probably by ATM or ATR. The gene encoding CCAR1 polyclonal antibody detects endogenous levels of CARP-1 maps to human chromosome 10, which houses CCAR1 protein. over 1,200 genes and comprises nearly 4.5% of the hu- DATA: man genome. Defects in some of the genes that map to chromosome 10 are associated with Charcot-Marie Tooth disease, Jackson-Weiss syndrome, Usher syndrome, non- syndromatic deafness, Wolman’s syndrome, Cowden syndrome, multiple endocrine neoplasia type 2 and por- phyria. Product: Rabbit IgG, 1mg/ml in PBS with 0.02% sodium azide, WesternBlot (WB) analysis of CCAR1 polyclonal antibody 50% glycerol, pH7.2 Note: Molecular Weight: For research use only, not for use in diagnostic procedure. -
Chd8 Mutation Leads to Autistic-Like Behaviors and Impaired Striatal Circuits
Chd8 Mutation Leads to Autistic-like Behaviors and Impaired Striatal Circuits The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Platt, Randall J.; Zhou, Yang; Slaymaker, Ian M.; Shetty, Ashwin S.; Weisbach, Niels R.; Kim, Jin-Ah; Sharma, Jitendra et al. “Chd8 Mutation Leads to Autistic-Like Behaviors and Impaired Striatal Circuits.” Cell Reports 19, no. 2 (April 2017): 335–350 © 2017 The Authors As Published http://dx.doi.org/10.1016/j.celrep.2017.03.052 Publisher Elsevier Version Final published version Citable link http://hdl.handle.net/1721.1/109830 Terms of Use Creative Commons Attribution-NonCommercial-NoDerivs License Detailed Terms http://creativecommons.org/licenses/by-nc-nd/4.0/ Article Chd8 Mutation Leads to Autistic-like Behaviors and Impaired Striatal Circuits Graphical Abstract Authors Randall J. Platt, Yang Zhou, Ian M. Slaymaker, ..., Gerald R. Crabtree, Guoping Feng, Feng Zhang Correspondence [email protected] (R.J.P.), [email protected] (F.Z.) Macrocephaly Gene dysregulation In Brief Platt et al. demonstrate that loss-of- +/– Chd8 function mutation of the high-confidence ASD-associated gene Chd8 results in behavioral and synaptic defects in mice. ASD-like behavior Synaptic dysfunction Highlights À d Chd8+/ mice display macrocephaly and ASD-like behaviors d Major insult to genome regulation and cellular processes in Chd8+/– mice d LOF Chd8 mutations cause synaptic dysfunction in the nucleus accumbens d NAc-specific perturbation of Chd8 in adult Cas9 mice recapitulates behavior Platt et al., 2017, Cell Reports 19, 335–350 April 11, 2017 ª 2017 The Authors. -
Ultraconserved Elements Are Associated with Homeostatic Control of Splicing Regulators by Alternative Splicing and Nonsense-Mediated Decay
Downloaded from genesdev.cshlp.org on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press Ultraconserved elements are associated with homeostatic control of splicing regulators by alternative splicing and nonsense-mediated decay Julie Z. Ni,1 Leslie Grate,1 John Paul Donohue,1 Christine Preston,2 Naomi Nobida,2 Georgeann O’Brien,2 Lily Shiue,1 Tyson A. Clark,3 John E. Blume,3 and Manuel Ares Jr.1,2,4 1Center for Molecular Biology of RNA and Department of Molecular, Cell, and Developmental Biology, University of California at Santa Cruz, Santa Cruz, California 95064, USA; 2Hughes Undergraduate Research Laboratory, University of California at Santa Cruz, Santa Cruz, California 95064, USA; 3Affymetrix, Inc., Santa Clara, California 95051, USA Many alternative splicing events create RNAs with premature stop codons, suggesting that alternative splicing coupled with nonsense-mediated decay (AS-NMD) may regulate gene expression post-transcriptionally. We tested this idea in mice by blocking NMD and measuring changes in isoform representation using splicing-sensitive microarrays. We found a striking class of highly conserved stop codon-containing exons whose inclusion renders the transcript sensitive to NMD. A genomic search for additional examples identified >50 such exons in genes with a variety of functions. These exons are unusually frequent in genes that encode splicing activators and are unexpectedly enriched in the so-called “ultraconserved” elements in the mammalian lineage. Further analysis show that NMD of mRNAs for splicing activators such as SR proteins is triggered by splicing activation events, whereas NMD of the mRNAs for negatively acting hnRNP proteins is triggered by splicing repression, a polarity consistent with widespread homeostatic control of splicing regulator gene expression. -
Mutations and Modeling of the Chromatin Remodeler CHD8 Define an Emerging Autism Etiology
REVIEW published: 17 December 2015 doi: 10.3389/fnins.2015.00477 Mutations and Modeling of the Chromatin Remodeler CHD8 Define an Emerging Autism Etiology Rebecca A. Barnard 1, Matthew B. Pomaville 1, 2 and Brian J. O’Roak 1* 1 Department of Molecular & Medical Genetics, Oregon Health & Science University, Portland, OR, USA, 2 Department of Biology, California State University, Fresno, CA, USA Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder with a strong but complex genetic component. Recent family based exome-sequencing strategies have identified recurrent de novo mutations at specific genes, providing strong evidence for ASD risk, but also highlighting the extreme genetic heterogeneity of the disorder. However, disruptions in these genes converge on key molecular pathways early in development. In particular, functional enrichment analyses have found that there is a bias toward genes involved in transcriptional regulation, such as chromatin modifiers. Here we review recent genetic, animal model, co-expression network, and functional genomics studies relating to the high confidence ASD risk gene, CHD8. CHD8, a chromatin remodeling factor, may serve as a “master regulator” of a common ASD etiology. Individuals with a CHD8 mutation show an ASD subtype that includes similar Edited by: physical characteristics, such as macrocephaly and prolonged GI problems including Gul Dolen, recurrent constipation. Similarly, animal models of CHD8 disruption exhibit enlarged Johns Hopkins University, USA head circumference and reduced gut motility phenotypes. Systems biology approaches Reviewed by: Jeffrey Varner, suggest CHD8 and other candidate ASD risk genes are enriched during mid-fetal Cornell University, USA development, which may represent a critical time window in ASD etiology. -
Mrna Editing, Processing and Quality Control in Caenorhabditis Elegans
| WORMBOOK mRNA Editing, Processing and Quality Control in Caenorhabditis elegans Joshua A. Arribere,*,1 Hidehito Kuroyanagi,†,1 and Heather A. Hundley‡,1 *Department of MCD Biology, UC Santa Cruz, California 95064, †Laboratory of Gene Expression, Medical Research Institute, Tokyo Medical and Dental University, Tokyo 113-8510, Japan, and ‡Medical Sciences Program, Indiana University School of Medicine-Bloomington, Indiana 47405 ABSTRACT While DNA serves as the blueprint of life, the distinct functions of each cell are determined by the dynamic expression of genes from the static genome. The amount and specific sequences of RNAs expressed in a given cell involves a number of regulated processes including RNA synthesis (transcription), processing, splicing, modification, polyadenylation, stability, translation, and degradation. As errors during mRNA production can create gene products that are deleterious to the organism, quality control mechanisms exist to survey and remove errors in mRNA expression and processing. Here, we will provide an overview of mRNA processing and quality control mechanisms that occur in Caenorhabditis elegans, with a focus on those that occur on protein-coding genes after transcription initiation. In addition, we will describe the genetic and technical approaches that have allowed studies in C. elegans to reveal important mechanistic insight into these processes. KEYWORDS Caenorhabditis elegans; splicing; RNA editing; RNA modification; polyadenylation; quality control; WormBook TABLE OF CONTENTS Abstract 531 RNA Editing and Modification 533 Adenosine-to-inosine RNA editing 533 The C. elegans A-to-I editing machinery 534 RNA editing in space and time 535 ADARs regulate the levels and fates of endogenous dsRNA 537 Are other modifications present in C. -
Characterizing Epigenetic Regulation in the Developing Chicken Retina Bejan Abbas Rasoul James Madison University
James Madison University JMU Scholarly Commons Masters Theses The Graduate School Spring 2018 Characterizing epigenetic regulation in the developing chicken retina Bejan Abbas Rasoul James Madison University Follow this and additional works at: https://commons.lib.jmu.edu/master201019 Part of the Computational Biology Commons, Developmental Biology Commons, Genomics Commons, and the Molecular Genetics Commons Recommended Citation Rasoul, Bejan Abbas, "Characterizing epigenetic regulation in the developing chicken retina" (2018). Masters Theses. 569. https://commons.lib.jmu.edu/master201019/569 This Thesis is brought to you for free and open access by the The Graduate School at JMU Scholarly Commons. It has been accepted for inclusion in Masters Theses by an authorized administrator of JMU Scholarly Commons. For more information, please contact [email protected]. Characterizing Epigenetic Regulation in the Developing Chicken Retina Bejan Abbas Rasoul A thesis submitted to the Graduate Faculty of JAMES MADISON UNIVERSITY In Partial Fulfillment of the Requirements for the degree of Master of Science Department of Biology May 2018 FACULTY COMMITTEE: Committee Chair: Dr. Raymond A. Enke Committee Members/ Readers: Dr. Steven G. Cresawn Dr. Kimberly H. Slekar DEDICATION For my father, who has always put the education of everyone above all else. ii ACKNOWLEDGMENTS I thank my advisor, Dr. Ray Enke, first, for accepting me as his graduate student and second, for provided significant support, advice and time to aid in the competition of my project and thesis. I would also like to thank my committee members not just for their role in this process but for being members of the JMU Biology Department ready to give any help they can. -
Brain-Specific Functional Relationship Networks Inform Autism Spectrum
Duda et al. Translational Psychiatry (2018) 8:56 DOI 10.1038/s41398-018-0098-6 Translational Psychiatry ARTICLE Open Access Brain-specific functional relationship networks inform autism spectrum disorder gene prediction Marlena Duda 1, Hongjiu Zhang1, Hong-Dong Li1,2,DennisP.Wall 3,4,MargitBurmeister1,5,6,7 andYuanfangGuan1,8,9 Abstract Autism spectrum disorder (ASD) is a neuropsychiatric disorder with strong evidence of genetic contribution, and increased research efforts have resulted in an ever-growing list of ASD candidate genes. However, only a fraction of the hundreds of nominated ASD-related genes have identified de novo or transmitted loss of function (LOF) mutations that can be directly attributed to the disorder. For this reason, a means of prioritizing candidate genes for ASD would help filter out false-positive results and allow researchers to focus on genes that are more likely to be causative. Here we constructed a machine learning model by leveraging a brain-specific functional relationship network (FRN) of genes to produce a genome-wide ranking of ASD risk genes. We rigorously validated our gene ranking using results from two independent sequencing experiments, together representing over 5000 simplex and multiplex ASD families. Finally, through functional enrichment analysis on our highly prioritized candidate gene network, we identified a small number of pathways that are key in early neural development, providing further support for their potential role in ASD. 1234567890():,; 1234567890():,; Introduction genomic variants for ASD. These studies, which primarily The term autism spectrum disorder (ASD) describes a focus on de novo loss-of-function (LOF) mutations, have range of complex neurodevelopmental phenotypes found significant associations with autism in anywhere marked by impaired social interaction and communica- from 65 to 150 genes; however, statistical genetic models tion skills along with restricted interests and repetitive estimate the total number of genes that contribute to ASD behaviors1. -
An RNA-Seq Visualization Tool for Cancer Genomics Aaron R
Shifman et al. BMC Genomics (2016) 17:75 DOI 10.1186/s12864-016-2389-8 SOFTWARE Open Access Cascade: an RNA-seq visualization tool for cancer genomics Aaron R. Shifman, Radia M. Johnson and Brian T. Wilhelm* Abstract Background: Cancer genomics projects are producing ever-increasing amounts of rich and diverse data from patient samples. The ability to easily visualize this data in an integrated an intuitive way is currently limited by the current software available. As a result, users typically must use several different tools to view the different data types for their cohort, making it difficult to have a simple unified view of their data. Results: Here we present Cascade, a novel web based tool for the intuitive 3D visualization of RNA-seq data from cancer genomics experiments. The Cascade viewer allows multiple data types (e.g. mutation, gene expression, alternative splicing frequency) to be simultaneously displayed, allowing a simplified view of the data in a way that is tuneable based on user specified parameters. The main webpage of Cascade provides a primary view of user data which is overlaid onto known biological pathways that are either predefined or added by users. A space-saving menu for data selection and parameter adjustment allows users to access an underlying MySQL database and customize the features presented in the main view. Conclusions: There is currently a pressing need for new software tools to allow researchers to easily explore large cancer genomics datasets and generate hypotheses. Cascade represents a simple yet intuitive interface for data visualization that is both scalable and customizable. -
CARP-1 / CCAR1: a Biphasic Regulator of Cancer Cell Growth and Apoptosis
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 6, No. 9 CARP-1 / CCAR1: A biphasic regulator of cancer cell growth and apoptosis Magesh Muthu1,3, Vino T. Cheriyan1,3, Arun K. Rishi1,2,3 1John D. Dingell VA Medical Center, Wayne State University, Detroit, MI, USA 2Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA 3Department of Oncology, Wayne State University, Detroit, MI, USA Correspondence to: Arun K. Rishi, e-mail: [email protected] Keywords: CARP-1/CCAR1, CFMs, apoptosis Received: December 23, 2014 Accepted: February 12, 2015 Published: March 24, 2015 ABSTRACT Targeted cancer therapy using small molecule inhibitors (SMIs) has been useful in targeting the tumor cells while sparing the normal cells. Despite clinical success of many targeted therapies, their off-target effects and development of resistance are emerging as significant and challenging problems. Thus, there is an urgent need to identify targets to devise new means to treat cancers and their drug-resistant phenotypes. CARP-1/CCAR1 (Cell division cycle and apoptosis regulator 1), a peri-nuclear phospho-protein, plays a dynamic role in regulating cell growth and apoptosis by serving as a co-activator of steroid/thyroid nuclear receptors, β-catenin, Anaphase Promoting Complex/Cyclosome (APC/C) E3 ligase, and tumor suppressor p53. CARP-1/CCAR1 also regulates chemotherapy-dependent apoptosis. CARP-1/ CCAR1 functional mimetics (CFMs) are a novel SMIs of CARP-1/CCAR1 interaction with APC/C. CFMs promote apoptosis in a manner independent of p53. CFMs are potent inhibitors of a variety of cancer cells including the drug (Adriamycin or Tamoxifen)- resistant breast cancer cells but not the immortalized breast epithelial cells, while a nano-lipid formulation of the lead compound CFM-4 improves its bioavailability and efficacyin vivo when administered orally. -
Co-Expression Network Analysis Identifies a Gene Signature As A
Zhu et al. Cancer Cell Int (2020) 20:259 https://doi.org/10.1186/s12935-020-01352-2 Cancer Cell International PRIMARY RESEARCH Open Access Co-expression network analysis identifes a gene signature as a predictive biomarker for energy metabolism in osteosarcoma Naiqiang Zhu1* , Jingyi Hou2, Guiyun Ma1, Shuai Guo1, Chengliang Zhao1 and Bin Chen1 Abstract Background: Osteosarcoma (OS) is a common malignant bone tumor originating in the interstitial tissues and occur- ring mostly in adolescents and young adults. Energy metabolism is a prerequisite for cancer cell growth, proliferation, invasion, and metastasis. However, the gene signatures associated with energy metabolism and their underlying molecular mechanisms that drive them are unknown. Methods: Energy metabolism-related genes were obtained from the TARGET database. We applied the “NFM” algo- rithm to classify putative signature gene into subtypes based on energy metabolism. Key genes related to progression were identifed by weighted co-expression network analysis (WGCNA). Based on least absolute shrinkage and selec- tion operator (LASSO) Cox proportional regression hazards model analyses, a gene signature for the predication of OS progression and prognosis was established. Robustness and estimation evaluations and comparison against other models were used to evaluate the prognostic performance of our model. Results: Two subtypes associated with energy metabolism was determined using the “NFM” algorithm, and signif- cant modules related to energy metabolism were identifed by WGCNA. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) suggested that the genes in the signifcant modules were enriched in kinase, immune metabolism processes, and metabolism-related pathways. We constructed a seven-gene signature consisting of SLC18B1, RBMXL1, DOK3, HS3ST2, ATP6V0D1, CCAR1, and C1QTNF1 to be used for OS progression and prognosis.