Literature DB >> 20868653

Gene and miRNA expression profiles in autism spectrum disorders.

Mohammad M Ghahramani Seno1, Pingzhao Hu, Fuad G Gwadry, Dalila Pinto, Christian R Marshall, Guillermo Casallo, Stephen W Scherer.   

Abstract

Accumulating data indicate that there is significant genetic heterogeneity underlying the etiology in individuals diagnosed with autism spectrum disorder (ASD). Some rare and highly-penetrant gene variants and copy number variation (CNV) regions including NLGN3, NLGN4, NRXN1, SHANK2, SHANK3, PTCHD1, 1q21.1, maternally-inherited duplication of 15q11-q13, 16p11.2, amongst others, have been identified to be involved in ASD. Genome-wide association studies have identified other apparently low risk loci and in some other cases, ASD arises as a co-morbid phenotype with other medical genetic conditions (e.g. fragile X). The progress studying the genetics of ASD has largely been accomplished using genomic analyses of germline-derived DNA. Here, we used gene and miRNA expression profiling using cell-line derived total RNA to evaluate possible transcripts and networks of molecules involved in ASD. Our analysis identified several novel dysregulated genes and miRNAs in ASD compared with controls, including HEY1, SOX9, miR-486 and miR-181b. All of these are involved in nervous system development and function and some others, for example, are involved in NOTCH signaling networks (e.g. HEY1). Further, we found significant enrichment in molecules associated with neurological disorders such as Rett syndrome and those associated with nervous system development and function including long-term potentiation. Our data will provide a valuable resource for discovery purposes and for comparison to other gene expression-based, genome-wide DNA studies and other functional data.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20868653     DOI: 10.1016/j.brainres.2010.09.046

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  74 in total

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4.  Saliva MicroRNA Differentiates Children With Autism From Peers With Typical and Atypical Development.

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Authors:  Michael E Talkowski; Sureni V Mullegama; Jill A Rosenfeld; Bregje W M van Bon; Yiping Shen; Elena A Repnikova; Julie Gastier-Foster; Devon Lamb Thrush; Sekar Kathiresan; Douglas M Ruderfer; Colby Chiang; Carrie Hanscom; Carl Ernst; Amelia M Lindgren; Cynthia C Morton; Yu An; Caroline Astbury; Louise A Brueton; Klaske D Lichtenbelt; Lesley C Ades; Marco Fichera; Corrado Romano; Jeffrey W Innis; Charles A Williams; Dennis Bartholomew; Margot I Van Allen; Aditi Parikh; Lilei Zhang; Bai-Lin Wu; Robert E Pyatt; Stuart Schwartz; Lisa G Shaffer; Bert B A de Vries; James F Gusella; Sarah H Elsea
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7.  Common functional variants of the glutamatergic system in Autism spectrum disorder with high and low intellectual abilities.

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Review 8.  Turing Revisited: Decoding the microRNA Messages in Brain Extracellular Vesicles for Early Detection of Neurodevelopmental Disorders.

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Journal:  Curr Environ Health Rep       Date:  2016-09

9.  Whole-genome sequencing of quartet families with autism spectrum disorder.

Authors:  Ryan K C Yuen; Bhooma Thiruvahindrapuram; Daniele Merico; Susan Walker; Kristiina Tammimies; Ny Hoang; Christina Chrysler; Thomas Nalpathamkalam; Giovanna Pellecchia; Yi Liu; Matthew J Gazzellone; Lia D'Abate; Eric Deneault; Jennifer L Howe; Richard S C Liu; Ann Thompson; Mehdi Zarrei; Mohammed Uddin; Christian R Marshall; Robert H Ring; Lonnie Zwaigenbaum; Peter N Ray; Rosanna Weksberg; Melissa T Carter; Bridget A Fernandez; Wendy Roberts; Peter Szatmari; Stephen W Scherer
Journal:  Nat Med       Date:  2015-01-26       Impact factor: 53.440

10.  Molecular mechanisms regulating impaired neurogenesis of fragile X syndrome human embryonic stem cells.

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Journal:  Stem Cells Dev       Date:  2015-10-15       Impact factor: 3.272

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