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综合多因素分析探索自闭症谱系障碍中的核心功能失调模块。

Integrated multifactor analysis explores core dysfunctional modules in autism spectrum disorder.

机构信息

Department of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China.

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

出版信息

Int J Biol Sci. 2018 May 22;14(8):811-818. doi: 10.7150/ijbs.24624. eCollection 2018.

DOI:10.7150/ijbs.24624
PMID:29989084
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6036758/
Abstract

Autism spectrum disorder (ASD) is a complex neurodevelopmental disease in early childhood, and growing up to be a major cause of disability in children. However, the underlying molecular mechanism of ASD remains elusive. Hence, we represented integrated multifactor analysis exploring dysfunctional modules based on RNA-Seq data from corpus callosum in 6 patients with ASD and 6 normal individuals. According to protein-protein interactions (PPIs) and WGCNA, we performed co-expression modules analysis for ASD-associated genes, and identified 25 modules with differentially expressed genes (DEGs), observing that genes in these modules were significantly involved in various biological processes in nervous system, sensory system, phylogenetic system and variety of signaling pathways. Then, based on transcriptional and post-transcriptional regulations, integrating transcription factor (TF)-target and RNA-associated interactions, significant regulators of co-expression modules were identified as pivot regulators, including 67 pivot TFs, 13 pivot miRNAs and 6 pivot lncRNAs. GO and KEGG pathway enrichment analysis demonstrated that the pivot miRNAs significantly enriched in neural or mental-associated biological progresses. The pivot TFs were mainly involved in various regulation of transcription, immune system and organs development. Finally, our work deciphered a multifactor dysfunctional co-expression subnetwork involved in ASD, helps uncover core dysfunctional modules for this disease and improves our understanding of its underlying molecular mechanism.

摘要

自闭症谱系障碍(ASD)是一种儿童早期发生的复杂神经发育疾病,是儿童残疾的主要原因之一。然而,ASD 的潜在分子机制仍不清楚。因此,我们基于 6 名 ASD 患者和 6 名正常个体的胼胝体 RNA-Seq 数据,进行了综合多因素分析,以探索功能失调的模块。根据蛋白质-蛋白质相互作用(PPIs)和 WGCNA,我们对与 ASD 相关的基因进行了共表达模块分析,并确定了 25 个具有差异表达基因(DEGs)的模块,观察到这些模块中的基因显著参与神经系统、感觉系统、系统发育系统和各种信号通路的各种生物学过程。然后,基于转录和转录后调控,整合转录因子(TF)-靶标和 RNA 相关相互作用,确定共表达模块的显著调节因子为枢纽调节因子,包括 67 个枢纽 TF、13 个枢纽 miRNA 和 6 个枢纽 lncRNA。GO 和 KEGG 通路富集分析表明,枢纽 miRNA 显著富集于与神经或精神相关的生物学进展。枢纽 TF 主要参与各种转录调控、免疫系统和器官发育。最后,我们的工作揭示了一个涉及 ASD 的多因素功能失调的共表达子网络,有助于发现该疾病的核心功能失调模块,并提高我们对其潜在分子机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/6036758/525ae00d4e0c/ijbsv14p0811g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/6036758/c0a64529fa98/ijbsv14p0811g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/6036758/39eaceaf6ef2/ijbsv14p0811g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/6036758/1359573a107a/ijbsv14p0811g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/6036758/525ae00d4e0c/ijbsv14p0811g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/6036758/c0a64529fa98/ijbsv14p0811g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/6036758/39eaceaf6ef2/ijbsv14p0811g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/6036758/1359573a107a/ijbsv14p0811g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a187/6036758/525ae00d4e0c/ijbsv14p0811g004.jpg

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本文引用的文献

1
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2
Tumor origin detection with tissue-specific miRNA and DNA methylation markers.利用组织特异性 miRNA 和 DNA 甲基化标记物进行肿瘤起源检测。
Bioinformatics. 2018 Feb 1;34(3):398-406. doi: 10.1093/bioinformatics/btx622.
3
Insulin-like growth factor type 1 and its relation with neuropsychiatric disorders.
1型胰岛素样生长因子及其与神经精神疾病的关系。
Medwave. 2017 Aug 28;17(7):e7031. doi: 10.5867/medwave.2017.07.7031.
4
Post-transcriptional regulation across human tissues.人类组织中的转录后调控。
PLoS Comput Biol. 2017 May 8;13(5):e1005535. doi: 10.1371/journal.pcbi.1005535. eCollection 2017 May.
5
Association of estrogen receptor alpha polymorphisms with symptoms of autism among Chinese Han children.中国汉族儿童中雌激素受体α基因多态性与自闭症症状的关联
Neuro Endocrinol Lett. 2016 Nov;37(6):439-444.
6
A 18p11.23-p11.31 microduplication in a boy with psychomotor delay, cerebellar vermis hypoplasia, chorioretinal coloboma, deafness and GH deficiency.一名患有精神运动发育迟缓、小脑蚓部发育不全、脉络膜视网膜缺损、耳聋和生长激素缺乏症的男孩存在18p11.23 - p11.31微重复。
Mol Cytogenet. 2016 Dec 3;9:89. doi: 10.1186/s13039-016-0298-9. eCollection 2016.
7
The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.2017年的STRING数据库:质量可控的蛋白质-蛋白质相互作用网络,广泛可用。
Nucleic Acids Res. 2017 Jan 4;45(D1):D362-D368. doi: 10.1093/nar/gkw937. Epub 2016 Oct 18.
8
Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism.自闭症中lncRNA、剪接和区域基因表达模式的全基因组变化。
Nature. 2016 Dec 15;540(7633):423-427. doi: 10.1038/nature20612. Epub 2016 Dec 5.
9
RAID v2.0: an updated resource of RNA-associated interactions across organisms.RAID v2.0:跨生物体的RNA相关相互作用的更新资源。
Nucleic Acids Res. 2017 Jan 4;45(D1):D115-D118. doi: 10.1093/nar/gkw1052. Epub 2016 Nov 28.
10
Genetic Variants and Multiple Sclerosis Risk Gene SLC9A9 Expression in Distinct Human Brain Regions.遗传变异与多发性硬化风险基因 SLC9A9 在不同人脑区域的表达。
Mol Neurobiol. 2017 Nov;54(9):6820-6826. doi: 10.1007/s12035-016-0208-5. Epub 2016 Oct 20.