Cargando…

Integrative network analysis reveals biological pathways associated with Williams syndrome

BACKGROUND: Williams syndrome (WS) is a neurodevelopmental disorder that has been attributed to heterozygous deletions in chromosome 7q11.23 and exhibits a variety of physical, cognitive, and behavioral features. However, the genetic basis of this phenotypic variability is unclear. In this study, we...

Descripción completa

Detalles Bibliográficos
Autores principales: Kimura, Ryo, Swarup, Vivek, Tomiwa, Kiyotaka, Gandal, Michael J., Parikshak, Neelroop N., Funabiki, Yasuko, Nakata, Masatoshi, Awaya, Tomonari, Kato, Takeo, Iida, Kei, Okazaki, Shin, Matsushima, Kanae, Kato, Toshihiro, Murai, Toshiya, Heike, Toshio, Geschwind, Daniel H., Hagiwara, Masatoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379192/
https://www.ncbi.nlm.nih.gov/pubmed/30362171
http://dx.doi.org/10.1111/jcpp.12999
_version_ 1783562585072730112
author Kimura, Ryo
Swarup, Vivek
Tomiwa, Kiyotaka
Gandal, Michael J.
Parikshak, Neelroop N.
Funabiki, Yasuko
Nakata, Masatoshi
Awaya, Tomonari
Kato, Takeo
Iida, Kei
Okazaki, Shin
Matsushima, Kanae
Kato, Toshihiro
Murai, Toshiya
Heike, Toshio
Geschwind, Daniel H.
Hagiwara, Masatoshi
author_facet Kimura, Ryo
Swarup, Vivek
Tomiwa, Kiyotaka
Gandal, Michael J.
Parikshak, Neelroop N.
Funabiki, Yasuko
Nakata, Masatoshi
Awaya, Tomonari
Kato, Takeo
Iida, Kei
Okazaki, Shin
Matsushima, Kanae
Kato, Toshihiro
Murai, Toshiya
Heike, Toshio
Geschwind, Daniel H.
Hagiwara, Masatoshi
author_sort Kimura, Ryo
collection PubMed
description BACKGROUND: Williams syndrome (WS) is a neurodevelopmental disorder that has been attributed to heterozygous deletions in chromosome 7q11.23 and exhibits a variety of physical, cognitive, and behavioral features. However, the genetic basis of this phenotypic variability is unclear. In this study, we identified genetic clues underlying these complex phenotypes. METHODS: Neurobehavioral function was assessed in WS patients and healthy controls. Total RNA was extracted from peripheral blood and subjected to microarray analysis, RNA‐sequencing, and qRT‐PCR. Weighted gene co‐expression network analysis was performed to identify specific alterations related to intermediate disease phenotypes. To functionally interpret each WS‐related module, gene ontology and disease‐related gene enrichment were examined. We also investigated the micro (mi)RNA expression profiles and miRNA co‐expression networks to better explain the regulation of the transcriptome in WS. RESULTS: Our analysis identified four significant co‐expression modules related to intermediate WS phenotypes. Notably, the three upregulated WS‐related modules were composed exclusively of genes located outside the 7q11.23 region. They were significantly enriched in genes related to B‐cell activation, RNA processing, and RNA transport. BCL11A, which is known for its association with speech disorders and intellectual disabilities, was identified as one of the hub genes in the top WS‐related module. Finally, these key upregulated mRNA co‐expression modules appear to be inversely correlated with a specific downregulated WS‐related miRNA co‐expression module. CONCLUSIONS: Dysregulation of the mRNA/miRNA network involving genes outside of the 7q11.23 region is likely related to the complex phenotypes observed in WS patients.
format Online
Article
Text
id pubmed-7379192
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-73791922020-07-24 Integrative network analysis reveals biological pathways associated with Williams syndrome Kimura, Ryo Swarup, Vivek Tomiwa, Kiyotaka Gandal, Michael J. Parikshak, Neelroop N. Funabiki, Yasuko Nakata, Masatoshi Awaya, Tomonari Kato, Takeo Iida, Kei Okazaki, Shin Matsushima, Kanae Kato, Toshihiro Murai, Toshiya Heike, Toshio Geschwind, Daniel H. Hagiwara, Masatoshi J Child Psychol Psychiatry Original Articles BACKGROUND: Williams syndrome (WS) is a neurodevelopmental disorder that has been attributed to heterozygous deletions in chromosome 7q11.23 and exhibits a variety of physical, cognitive, and behavioral features. However, the genetic basis of this phenotypic variability is unclear. In this study, we identified genetic clues underlying these complex phenotypes. METHODS: Neurobehavioral function was assessed in WS patients and healthy controls. Total RNA was extracted from peripheral blood and subjected to microarray analysis, RNA‐sequencing, and qRT‐PCR. Weighted gene co‐expression network analysis was performed to identify specific alterations related to intermediate disease phenotypes. To functionally interpret each WS‐related module, gene ontology and disease‐related gene enrichment were examined. We also investigated the micro (mi)RNA expression profiles and miRNA co‐expression networks to better explain the regulation of the transcriptome in WS. RESULTS: Our analysis identified four significant co‐expression modules related to intermediate WS phenotypes. Notably, the three upregulated WS‐related modules were composed exclusively of genes located outside the 7q11.23 region. They were significantly enriched in genes related to B‐cell activation, RNA processing, and RNA transport. BCL11A, which is known for its association with speech disorders and intellectual disabilities, was identified as one of the hub genes in the top WS‐related module. Finally, these key upregulated mRNA co‐expression modules appear to be inversely correlated with a specific downregulated WS‐related miRNA co‐expression module. CONCLUSIONS: Dysregulation of the mRNA/miRNA network involving genes outside of the 7q11.23 region is likely related to the complex phenotypes observed in WS patients. John Wiley and Sons Inc. 2018-10-25 2019-05 /pmc/articles/PMC7379192/ /pubmed/30362171 http://dx.doi.org/10.1111/jcpp.12999 Text en © 2018 The Authors. Journal of Child Psychology and Psychiatry published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Kimura, Ryo
Swarup, Vivek
Tomiwa, Kiyotaka
Gandal, Michael J.
Parikshak, Neelroop N.
Funabiki, Yasuko
Nakata, Masatoshi
Awaya, Tomonari
Kato, Takeo
Iida, Kei
Okazaki, Shin
Matsushima, Kanae
Kato, Toshihiro
Murai, Toshiya
Heike, Toshio
Geschwind, Daniel H.
Hagiwara, Masatoshi
Integrative network analysis reveals biological pathways associated with Williams syndrome
title Integrative network analysis reveals biological pathways associated with Williams syndrome
title_full Integrative network analysis reveals biological pathways associated with Williams syndrome
title_fullStr Integrative network analysis reveals biological pathways associated with Williams syndrome
title_full_unstemmed Integrative network analysis reveals biological pathways associated with Williams syndrome
title_short Integrative network analysis reveals biological pathways associated with Williams syndrome
title_sort integrative network analysis reveals biological pathways associated with williams syndrome
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379192/
https://www.ncbi.nlm.nih.gov/pubmed/30362171
http://dx.doi.org/10.1111/jcpp.12999
work_keys_str_mv AT kimuraryo integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT swarupvivek integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT tomiwakiyotaka integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT gandalmichaelj integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT parikshakneelroopn integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT funabikiyasuko integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT nakatamasatoshi integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT awayatomonari integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT katotakeo integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT iidakei integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT okazakishin integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT matsushimakanae integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT katotoshihiro integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT muraitoshiya integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT heiketoshio integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT geschwinddanielh integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome
AT hagiwaramasatoshi integrativenetworkanalysisrevealsbiologicalpathwaysassociatedwithwilliamssyndrome