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Transcriptome sequencing of facial adipose tissue reveals alterations in mRNAs of hemifacial microsomia

Hemifacial microsomia (HFM) is a common congenital malformation of the craniofacial region, including mandibular hypoplasia, microtia, facial palsy and soft tissue deficiencies. However, it remains unclear which specific genes are involved in the pathogenesis of HFM. By identifying differentially ex...

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Autores principales: Liu, Bingyang, Liu, Wei, Zhao, Shanbaga, Ma, Lunkun, Zang, Tianying, Huang, Changjin, Shu, Kaiyi, Gao, Hengbin, Tang, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968928/
https://www.ncbi.nlm.nih.gov/pubmed/36861077
http://dx.doi.org/10.3389/fped.2023.1099841
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author Liu, Bingyang
Liu, Wei
Zhao, Shanbaga
Ma, Lunkun
Zang, Tianying
Huang, Changjin
Shu, Kaiyi
Gao, Hengbin
Tang, Xiaojun
author_facet Liu, Bingyang
Liu, Wei
Zhao, Shanbaga
Ma, Lunkun
Zang, Tianying
Huang, Changjin
Shu, Kaiyi
Gao, Hengbin
Tang, Xiaojun
author_sort Liu, Bingyang
collection PubMed
description Hemifacial microsomia (HFM) is a common congenital malformation of the craniofacial region, including mandibular hypoplasia, microtia, facial palsy and soft tissue deficiencies. However, it remains unclear which specific genes are involved in the pathogenesis of HFM. By identifying differentially expressed genes (DEGs) in deficient facial adipose tissue from HFM patients, we hope to provide a new insight into disease mechanisms from the transcriptome perspective. RNA sequencing (RNA-Seq) was performed with 10 facial adipose tissues from patients of HFM and healthy controls. Differentially expressed genes in HFM were validated by quantitative real-time PCR (qPCR). Functional annotations of the DEGs were analyzed with DESeq2 R package (1.20.0). A total of 1,244 genes were identified as DEGs between HFM patients and matched controls. Bioinformatic analysis predicted that the increased expression of HOXB2 and HAND2 were associated with facial deformity of HFM. Knockdown and overexpression of HOXB2 were achieved with lentiviral vectors. Cell proliferation, migration, and invasion assay was performed with adipose-derived stem cells (ADSC) to confirm the phenotype of HOXB2. We also found that PI3K−Akt signaling pathway and human papillomavirus infection were activated in HFM. In conclusion, we discovered potential genes, pathways and networks in HFM facial adipose tissue, which contributes to a better understanding of the pathogenesis of HFM.
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spelling pubmed-99689282023-02-28 Transcriptome sequencing of facial adipose tissue reveals alterations in mRNAs of hemifacial microsomia Liu, Bingyang Liu, Wei Zhao, Shanbaga Ma, Lunkun Zang, Tianying Huang, Changjin Shu, Kaiyi Gao, Hengbin Tang, Xiaojun Front Pediatr Pediatrics Hemifacial microsomia (HFM) is a common congenital malformation of the craniofacial region, including mandibular hypoplasia, microtia, facial palsy and soft tissue deficiencies. However, it remains unclear which specific genes are involved in the pathogenesis of HFM. By identifying differentially expressed genes (DEGs) in deficient facial adipose tissue from HFM patients, we hope to provide a new insight into disease mechanisms from the transcriptome perspective. RNA sequencing (RNA-Seq) was performed with 10 facial adipose tissues from patients of HFM and healthy controls. Differentially expressed genes in HFM were validated by quantitative real-time PCR (qPCR). Functional annotations of the DEGs were analyzed with DESeq2 R package (1.20.0). A total of 1,244 genes were identified as DEGs between HFM patients and matched controls. Bioinformatic analysis predicted that the increased expression of HOXB2 and HAND2 were associated with facial deformity of HFM. Knockdown and overexpression of HOXB2 were achieved with lentiviral vectors. Cell proliferation, migration, and invasion assay was performed with adipose-derived stem cells (ADSC) to confirm the phenotype of HOXB2. We also found that PI3K−Akt signaling pathway and human papillomavirus infection were activated in HFM. In conclusion, we discovered potential genes, pathways and networks in HFM facial adipose tissue, which contributes to a better understanding of the pathogenesis of HFM. Frontiers Media S.A. 2023-02-13 /pmc/articles/PMC9968928/ /pubmed/36861077 http://dx.doi.org/10.3389/fped.2023.1099841 Text en © 2023 Liu, Liu, Zhao, Ma, Zang, Huang, Shu, Gao and Tang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Liu, Bingyang
Liu, Wei
Zhao, Shanbaga
Ma, Lunkun
Zang, Tianying
Huang, Changjin
Shu, Kaiyi
Gao, Hengbin
Tang, Xiaojun
Transcriptome sequencing of facial adipose tissue reveals alterations in mRNAs of hemifacial microsomia
title Transcriptome sequencing of facial adipose tissue reveals alterations in mRNAs of hemifacial microsomia
title_full Transcriptome sequencing of facial adipose tissue reveals alterations in mRNAs of hemifacial microsomia
title_fullStr Transcriptome sequencing of facial adipose tissue reveals alterations in mRNAs of hemifacial microsomia
title_full_unstemmed Transcriptome sequencing of facial adipose tissue reveals alterations in mRNAs of hemifacial microsomia
title_short Transcriptome sequencing of facial adipose tissue reveals alterations in mRNAs of hemifacial microsomia
title_sort transcriptome sequencing of facial adipose tissue reveals alterations in mrnas of hemifacial microsomia
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968928/
https://www.ncbi.nlm.nih.gov/pubmed/36861077
http://dx.doi.org/10.3389/fped.2023.1099841
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