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Network-based identification of critical regulators as putative drivers of human cleft lip

BACKGROUND: Cleft lip (CL) is one of the most common congenital birth defects with complex etiology. While genome-wide association studies (GWAS) have made significant advances in our understanding of mutations and their related genes with potential involvement in the etiology of CL, it remains unkn...

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Autores principales: Li, Aimin, Qin, Guimin, Suzuki, Akiko, Gajera, Mona, Iwata, Junichi, Jia, Peilin, Zhao, Zhongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357351/
https://www.ncbi.nlm.nih.gov/pubmed/30704473
http://dx.doi.org/10.1186/s12920-018-0458-3
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author Li, Aimin
Qin, Guimin
Suzuki, Akiko
Gajera, Mona
Iwata, Junichi
Jia, Peilin
Zhao, Zhongming
author_facet Li, Aimin
Qin, Guimin
Suzuki, Akiko
Gajera, Mona
Iwata, Junichi
Jia, Peilin
Zhao, Zhongming
author_sort Li, Aimin
collection PubMed
description BACKGROUND: Cleft lip (CL) is one of the most common congenital birth defects with complex etiology. While genome-wide association studies (GWAS) have made significant advances in our understanding of mutations and their related genes with potential involvement in the etiology of CL, it remains unknown how these genes are functionally regulated and interact with each other in lip development. Currently, identifying the disease-causing genes in human CL is urgently needed. So far, the causative CL genes have been largely undiscovered, making it challenging to design experiments to validate the functional influence of the mutations identified from large genomic studies such as CL GWAS. RESULTS: Transcription factors (TFs) and microRNAs (miRNAs) are two important regulators in cellular system. In this study, we aimed to investigate the genetic interactions among TFs, miRNAs and the CL genes curated from the previous studies. We constructed miRNA-TF co-regulatory networks, from which the critical regulators as putative drivers in CL were examined. Based on the constructed networks, we identified ten critical hub genes with prior evidence in CL. Furthermore, the analysis of partitioned regulatory modules highlighted a number of biological processes involved in the pathology of CL, including a novel pathway “Signaling pathway regulating pluripotency of stem cells”. Our subnetwork analysis pinpointed two candidate miRNAs, hsa-mir-27b and hsa-mir-497, activating the Wnt pathway that was associated with CL. Our results were supported by an independent gene expression dataset in CL. CONCLUSIONS: This study represents the first regulatory network analysis of CL genes. Our work presents a global view of the CL regulatory network and a novel approach on investigating critical miRNAs, TFs and genes via combinatory regulatory networks in craniofacial development. The top genes and miRNAs will be important candidates for future experimental validation of their functions in CL. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-018-0458-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-63573512019-02-07 Network-based identification of critical regulators as putative drivers of human cleft lip Li, Aimin Qin, Guimin Suzuki, Akiko Gajera, Mona Iwata, Junichi Jia, Peilin Zhao, Zhongming BMC Med Genomics Research BACKGROUND: Cleft lip (CL) is one of the most common congenital birth defects with complex etiology. While genome-wide association studies (GWAS) have made significant advances in our understanding of mutations and their related genes with potential involvement in the etiology of CL, it remains unknown how these genes are functionally regulated and interact with each other in lip development. Currently, identifying the disease-causing genes in human CL is urgently needed. So far, the causative CL genes have been largely undiscovered, making it challenging to design experiments to validate the functional influence of the mutations identified from large genomic studies such as CL GWAS. RESULTS: Transcription factors (TFs) and microRNAs (miRNAs) are two important regulators in cellular system. In this study, we aimed to investigate the genetic interactions among TFs, miRNAs and the CL genes curated from the previous studies. We constructed miRNA-TF co-regulatory networks, from which the critical regulators as putative drivers in CL were examined. Based on the constructed networks, we identified ten critical hub genes with prior evidence in CL. Furthermore, the analysis of partitioned regulatory modules highlighted a number of biological processes involved in the pathology of CL, including a novel pathway “Signaling pathway regulating pluripotency of stem cells”. Our subnetwork analysis pinpointed two candidate miRNAs, hsa-mir-27b and hsa-mir-497, activating the Wnt pathway that was associated with CL. Our results were supported by an independent gene expression dataset in CL. CONCLUSIONS: This study represents the first regulatory network analysis of CL genes. Our work presents a global view of the CL regulatory network and a novel approach on investigating critical miRNAs, TFs and genes via combinatory regulatory networks in craniofacial development. The top genes and miRNAs will be important candidates for future experimental validation of their functions in CL. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-018-0458-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-31 /pmc/articles/PMC6357351/ /pubmed/30704473 http://dx.doi.org/10.1186/s12920-018-0458-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Li, Aimin
Qin, Guimin
Suzuki, Akiko
Gajera, Mona
Iwata, Junichi
Jia, Peilin
Zhao, Zhongming
Network-based identification of critical regulators as putative drivers of human cleft lip
title Network-based identification of critical regulators as putative drivers of human cleft lip
title_full Network-based identification of critical regulators as putative drivers of human cleft lip
title_fullStr Network-based identification of critical regulators as putative drivers of human cleft lip
title_full_unstemmed Network-based identification of critical regulators as putative drivers of human cleft lip
title_short Network-based identification of critical regulators as putative drivers of human cleft lip
title_sort network-based identification of critical regulators as putative drivers of human cleft lip
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357351/
https://www.ncbi.nlm.nih.gov/pubmed/30704473
http://dx.doi.org/10.1186/s12920-018-0458-3
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