Literature DB >> 29339533

Learning-dependent chromatin remodeling highlights noncoding regulatory regions linked to autism.

John N Koberstein1, Shane G Poplawski2, Mathieu E Wimmer3, Giulia Porcari4, Charlly Kao5, Bruce Gomes1, Davide Risso5, Hakon Hakonarson6, Nancy R Zhang7, Robert T Schultz8, Ted Abel9, Lucia Peixoto10.   

Abstract

Autism spectrum disorder (ASD) is a prevalent neurodevelopmental disorder that is associated with genetic risk factors. Most human disease-associated single-nucleotide polymorphisms (SNPs) are not located in genes but rather are in regulatory regions that control gene expression. The function of regulatory regions is determined through epigenetic mechanisms. Parallels between the cellular basis of development and the formation of long-term memory have long been recognized, particularly the role of epigenetic mechanisms in both processes. We analyzed how learning alters chromatin accessibility in the mouse hippocampus using a new high-throughput sequencing bioinformatics strategy we call DEScan (differential enrichment scan). DEScan, which enabled the analysis of data from epigenomic experiments containing multiple replicates, revealed changes in chromatin accessibility at 2365 regulatory regions-most of which were promoters. Learning-regulated promoters were active during forebrain development in mice and were enriched in epigenetic modifications indicative of bivalent promoters. These promoters were disproportionally intronic, showed a complex relationship with gene expression and alternative splicing during memory consolidation and retrieval, and were enriched in the data set relative to known ASD risk genes. Genotyping in a clinical cohort within one of these promoters (SHANK3 promoter 6) revealed that the SNP rs6010065 was associated with ASD. Our data support the idea that learning recapitulates development at the epigenetic level and demonstrate that behaviorally induced epigenetic changes in mice can highlight regulatory regions relevant to brain disorders in patients.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2018        PMID: 29339533      PMCID: PMC6180319          DOI: 10.1126/scisignal.aan6500

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


  46 in total

1.  Normalization of RNA-seq data using factor analysis of control genes or samples.

Authors:  Davide Risso; John Ngai; Terence P Speed; Sandrine Dudoit
Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

2.  Structural variation of chromosomes in autism spectrum disorder.

Authors:  Christian R Marshall; Abdul Noor; John B Vincent; Anath C Lionel; Lars Feuk; Jennifer Skaug; Mary Shago; Rainald Moessner; Dalila Pinto; Yan Ren; Bhooma Thiruvahindrapduram; Andreas Fiebig; Stefan Schreiber; Jan Friedman; Cees E J Ketelaars; Yvonne J Vos; Can Ficicioglu; Susan Kirkpatrick; Rob Nicolson; Leon Sloman; Anne Summers; Clare A Gibbons; Ahmad Teebi; David Chitayat; Rosanna Weksberg; Ann Thompson; Cathy Vardy; Vicki Crosbie; Sandra Luscombe; Rebecca Baatjes; Lonnie Zwaigenbaum; Wendy Roberts; Bridget Fernandez; Peter Szatmari; Stephen W Scherer
Journal:  Am J Hum Genet       Date:  2008-01-17       Impact factor: 11.025

3.  Different training procedures recruit either one or two critical periods for contextual memory consolidation, each of which requires protein synthesis and PKA.

Authors:  R Bourtchouladze; T Abel; N Berman; R Gordon; K Lapidus; E R Kandel
Journal:  Learn Mem       Date:  1998 Sep-Oct       Impact factor: 2.460

4.  Abundant raw material for cis-regulatory evolution in humans.

Authors:  Matthew V Rockman; Gregory A Wray
Journal:  Mol Biol Evol       Date:  2002-11       Impact factor: 16.240

Review 5.  Epigenetic regulation of memory formation and maintenance.

Authors:  Iva B Zovkic; Mikael C Guzman-Karlsson; J David Sweatt
Journal:  Learn Mem       Date:  2013-01-15       Impact factor: 2.460

6.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

7.  Association and Promoter Analysis of AVPR1A in Finnish Autism Families.

Authors:  Katri Kantojärvi; Jaana Oikkonen; Ilona Kotala; Jenni Kallela; Raija Vanhala; Päivi Onkamo; Irma Järvelä
Journal:  Autism Res       Date:  2015-02-23       Impact factor: 5.216

8.  De novo mutations revealed by whole-exome sequencing are strongly associated with autism.

Authors:  Stephan J Sanders; Michael T Murtha; Abha R Gupta; John D Murdoch; Melanie J Raubeson; A Jeremy Willsey; A Gulhan Ercan-Sencicek; Nicholas M DiLullo; Neelroop N Parikshak; Jason L Stein; Michael F Walker; Gordon T Ober; Nicole A Teran; Youeun Song; Paul El-Fishawy; Ryan C Murtha; Murim Choi; John D Overton; Robert D Bjornson; Nicholas J Carriero; Kyle A Meyer; Kaya Bilguvar; Shrikant M Mane; Nenad Sestan; Richard P Lifton; Murat Günel; Kathryn Roeder; Daniel H Geschwind; Bernie Devlin; Matthew W State
Journal:  Nature       Date:  2012-04-04       Impact factor: 49.962

9.  Autism genome-wide copy number variation reveals ubiquitin and neuronal genes.

Authors:  Joseph T Glessner; Kai Wang; Guiqing Cai; Olena Korvatska; Cecilia E Kim; Shawn Wood; Haitao Zhang; Annette Estes; Camille W Brune; Jonathan P Bradfield; Marcin Imielinski; Edward C Frackelton; Jennifer Reichert; Emily L Crawford; Jeffrey Munson; Patrick M A Sleiman; Rosetta Chiavacci; Kiran Annaiah; Kelly Thomas; Cuiping Hou; Wendy Glaberson; James Flory; Frederick Otieno; Maria Garris; Latha Soorya; Lambertus Klei; Joseph Piven; Kacie J Meyer; Evdokia Anagnostou; Takeshi Sakurai; Rachel M Game; Danielle S Rudd; Danielle Zurawiecki; Christopher J McDougle; Lea K Davis; Judith Miller; David J Posey; Shana Michaels; Alexander Kolevzon; Jeremy M Silverman; Raphael Bernier; Susan E Levy; Robert T Schultz; Geraldine Dawson; Thomas Owley; William M McMahon; Thomas H Wassink; John A Sweeney; John I Nurnberger; Hilary Coon; James S Sutcliffe; Nancy J Minshew; Struan F A Grant; Maja Bucan; Edwin H Cook; Joseph D Buxbaum; Bernie Devlin; Gerard D Schellenberg; Hakon Hakonarson
Journal:  Nature       Date:  2009-04-28       Impact factor: 49.962

10.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

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  7 in total

Review 1.  Resolving the Synaptic versus Developmental Dichotomy of Autism Risk Genes.

Authors:  Whitney E Heavner; Stephen E P Smith
Journal:  Trends Neurosci       Date:  2020-02-22       Impact factor: 13.837

Review 2.  Chromatin accessibility in neuropsychiatric disorders.

Authors:  Gabor Egervari
Journal:  Neurobiol Learn Mem       Date:  2021-04-15       Impact factor: 2.877

3.  Genome-wide profiling reveals functional diversification of ∆FosB gene targets in the hippocampus of an Alzheimer's disease mouse model.

Authors:  Jason C You; Gabriel S Stephens; Chia-Hsuan Fu; Xiaohong Zhang; Yin Liu; Jeannie Chin
Journal:  PLoS One       Date:  2018-02-06       Impact factor: 3.240

4.  Coalitional Game Theory Facilitates Identification of Non-Coding Variants Associated With Autism.

Authors:  Min Woo Sun; Anika Gupta; Maya Varma; Kelley M Paskov; Jae-Yoon Jung; Nate T Stockham; Dennis P Wall
Journal:  Biomed Inform Insights       Date:  2019-03-08

Review 5.  Recent developments in transcriptional and translational regulation underlying long-term synaptic plasticity and memory.

Authors:  Ashok N Hegde; Spencer G Smith
Journal:  Learn Mem       Date:  2019-08-15       Impact factor: 2.460

Review 6.  Myosin XVI in the Nervous System.

Authors:  Elek Telek; András Kengyel; Beáta Bugyi
Journal:  Cells       Date:  2020-08-15       Impact factor: 6.600

Review 7.  The Engram's Dark Horse: How Interneurons Regulate State-Dependent Memory Processing and Plasticity.

Authors:  Frank Raven; Sara J Aton
Journal:  Front Neural Circuits       Date:  2021-09-13       Impact factor: 3.492

  7 in total

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