Literature DB >> 32008165

Cell-Type-Specific Analysis of Molecular Pathology in Autism Identifies Common Genes and Pathways Affected Across Neocortical Regions.

Dmitry Velmeshev1, Marco Magistri1, Emilia Maria Cristina Mazza2, Patrick Lally1, Nathalie Khoury1, Evan Ross D'Elia1, Silvio Bicciato2, Mohammad Ali Faghihi3,4.   

Abstract

Despite its heterogeneity, autism is characterized by a defined behavioral phenotype, suggesting that the molecular pathology affects specific neural substrates to cause behavioral dysfunction. Previous studies identified genes dysregulated in autism cortex but did not address their cell-type specificity. Moreover, it is unknown whether there is a core of genes dysregulated across multiple neocortical regions. We applied RNA sequencing to postmortem brain tissue samples from autism patients and neurologically normal controls and combined our data with previously published datasets. We then identified genes, pathways, and alternative splicing events which are dysregulated in five neocortical regions in autism. To gain information about cell-type specificity of the dysregulated genes, we analyzed single-nuclei RNA sequencing data of adult human cortex and intersected cell-type-specific gene signatures with genes dysregulated in autism in specific cortical regions. We found that autism-associated gene expression changes across 4 frontal and temporal cortex regions converge on 27 genes related to immune response and enriched in human astrocytes, microglia, and brain endothelium. Shared splicing changes, however, are found in genes predominantly associated with synaptic function and adult interneurons and projection neurons. Finally, we demonstrate that regions of DNA differentially methylated in autism overlap genes associated with development and enriched in human cortical oligodendrocytes. Our study identifies signatures of autism molecular pathology shared across neocortical regions, as well as neural cell types enriched for common dysregulated genes, thus paving way for assessing cell-type-specific mechanisms of autism pathology.

Entities:  

Keywords:  ASD; Alternative splicing; Autism; DNA methylation; RNA sequencing; Single-cell RNA sequencing

Mesh:

Substances:

Year:  2020        PMID: 32008165     DOI: 10.1007/s12035-020-01879-5

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  28 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-05       Impact factor: 11.205

2.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

3.  Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.

Authors:  Martin J Aryee; Andrew E Jaffe; Hector Corrada-Bravo; Christine Ladd-Acosta; Andrew P Feinberg; Kasper D Hansen; Rafael A Irizarry
Journal:  Bioinformatics       Date:  2014-01-28       Impact factor: 6.937

4.  Misregulation of an Activity-Dependent Splicing Network as a Common Mechanism Underlying Autism Spectrum Disorders.

Authors:  Mathieu Quesnel-Vallières; Zahra Dargaei; Manuel Irimia; Thomas Gonatopoulos-Pournatzis; Joanna Y Ip; Mingkun Wu; Timothy Sterne-Weiler; Shinichi Nakagawa; Melanie A Woodin; Benjamin J Blencowe; Sabine P Cordes
Journal:  Mol Cell       Date:  2016-12-15       Impact factor: 17.970

5.  A highly conserved program of neuronal microexons is misregulated in autistic brains.

Authors:  Manuel Irimia; Robert J Weatheritt; Jonathan D Ellis; Neelroop N Parikshak; Thomas Gonatopoulos-Pournatzis; Mariana Babor; Mathieu Quesnel-Vallières; Javier Tapial; Bushra Raj; Dave O'Hanlon; Miriam Barrios-Rodiles; Michael J E Sternberg; Sabine P Cordes; Frederick P Roth; Jeffrey L Wrana; Daniel H Geschwind; Benjamin J Blencowe
Journal:  Cell       Date:  2014-12-18       Impact factor: 41.582

6.  Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism.

Authors:  Neelroop N Parikshak; Vivek Swarup; T Grant Belgard; Manuel Irimia; Gokul Ramaswami; Michael J Gandal; Christopher Hartl; Virpi Leppa; Luis de la Torre Ubieta; Jerry Huang; Jennifer K Lowe; Benjamin J Blencowe; Steve Horvath; Daniel H Geschwind
Journal:  Nature       Date:  2016-12-05       Impact factor: 49.962

7.  Differential analysis of gene regulation at transcript resolution with RNA-seq.

Authors:  Cole Trapnell; David G Hendrickson; Martin Sauvageau; Loyal Goff; John L Rinn; Lior Pachter
Journal:  Nat Biotechnol       Date:  2012-12-09       Impact factor: 54.908

8.  Single-cell genomics identifies cell type-specific molecular changes in autism.

Authors:  Dmitry Velmeshev; Lucas Schirmer; Diane Jung; Maximilian Haeussler; Yonatan Perez; Simone Mayer; Aparna Bhaduri; Nitasha Goyal; David H Rowitch; Arnold R Kriegstein
Journal:  Science       Date:  2019-05-17       Impact factor: 47.728

9.  Transcriptomic analysis of autistic brain reveals convergent molecular pathology.

Authors:  Irina Voineagu; Xinchen Wang; Patrick Johnston; Jennifer K Lowe; Yuan Tian; Steve Horvath; Jonathan Mill; Rita M Cantor; Benjamin J Blencowe; Daniel H Geschwind
Journal:  Nature       Date:  2011-05-25       Impact factor: 49.962

10.  Transcriptome analysis reveals dysregulation of innate immune response genes and neuronal activity-dependent genes in autism.

Authors:  Simone Gupta; Shannon E Ellis; Foram N Ashar; Anna Moes; Joel S Bader; Jianan Zhan; Andrew B West; Dan E Arking
Journal:  Nat Commun       Date:  2014-12-10       Impact factor: 14.919

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  5 in total

1.  Correlation Between CD133+ Stem Cells and Clinical Improvement in Patients with Autism Spectrum Disorders Treated with Intrathecal Bone Marrow-derived Mononuclear Cells.

Authors:  Laura Villarreal-Martinez; Laura Elia MartÍnez-Garza; Iram Pablo Rodriguez-Sanchez; Neri Alvarez-Villalobos; Fernando Guzman-Gallardo; Sulia Pope-Salazar; Cynthia Salinas-Silva; Maria Guadalupe Cepeda-Cepeda; Alejandra Garza-Bedolla; Irving Armando Dominguez-Varela; Daniel Zacarias Villarreal-Martinez; Jose Humberto Treviño-Villarreal; David Gomez-Almaguer
Journal:  Innov Clin Neurosci       Date:  2022 Apr-Jun

2.  Identification of a transcriptional signature found in multiple models of ASD and related disorders.

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Journal:  Genome Res       Date:  2022-09-14       Impact factor: 9.438

Review 3.  Elucidating the cellular dynamics of the brain with single-cell RNA sequencing.

Authors:  Aida Cardona-Alberich; Manon Tourbez; Sarah F Pearce; Christopher R Sibley
Journal:  RNA Biol       Date:  2021-01-27       Impact factor: 4.652

4.  Gene Module Analysis Reveals Cell-Type Specificity and Potential Target Genes in Autism's Pathogenesis.

Authors:  Guoli Ji; Shuchao Li; Lishan Ye; Jinting Guan
Journal:  Biomedicines       Date:  2021-04-10

5.  Slc6a20a Heterozygous and Homozygous Mutant Mice Display Differential Behavioral and Transcriptomic Changes.

Authors:  Junhyung Kim; Junyeop Daniel Roh; Seongbin Kim; Hyojin Kang; Mihyun Bae; Eunjoon Kim
Journal:  Front Mol Neurosci       Date:  2022-03-07       Impact factor: 5.639

  5 in total

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