Cargando…

A joint transcriptional regulatory network and protein activity inference analysis identifies clinically associated master regulators for biliary atresia

Biliary atresia (BA) is a devastating cholangiopathy in neonate. Transcription factors (TFs), a type of master regulators in biological processes and diseases, have been implicated in pathogenesis of BA. However, a global view of TFs and how they link to clinical presentations remain explored. Here,...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Panpan, Xiao, Manhuan, Chen, Huadong, Zhong, Zhihai, Jiang, Hong, Feng, Xuyang, Luo, Zhenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691841/
https://www.ncbi.nlm.nih.gov/pubmed/36440333
http://dx.doi.org/10.3389/fped.2022.1050326
_version_ 1784837118246256640
author Sun, Panpan
Xiao, Manhuan
Chen, Huadong
Zhong, Zhihai
Jiang, Hong
Feng, Xuyang
Luo, Zhenhua
author_facet Sun, Panpan
Xiao, Manhuan
Chen, Huadong
Zhong, Zhihai
Jiang, Hong
Feng, Xuyang
Luo, Zhenhua
author_sort Sun, Panpan
collection PubMed
description Biliary atresia (BA) is a devastating cholangiopathy in neonate. Transcription factors (TFs), a type of master regulators in biological processes and diseases, have been implicated in pathogenesis of BA. However, a global view of TFs and how they link to clinical presentations remain explored. Here, we perform a joint transcriptional regulatory network and protein activity inference analysis in order to investigate transcription factor activity in BA. By integration of three independent human BA liver transcriptome datasets, we identify 22 common master regulators, with 14 activated- and 8 repressed TFs. Gene targets of activated TFs are enriched in biological processes of SMAD, NF-kappaB and TGF-beta, while those of repressed TFs are related to lipid metabolism. Mining the clinical association of TFs, we identify inflammation-, fibrosis- and survival associated TFs. In particular, ZNF14 is predictive of poor survival and advanced live fibrosis. Supporting this observation, ZNF14 is positively correlated with T helper cells, cholangiocytes and hepatic stellate cells. In sum, our analysis reveals key clinically associated master regulators for BA.
format Online
Article
Text
id pubmed-9691841
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-96918412022-11-26 A joint transcriptional regulatory network and protein activity inference analysis identifies clinically associated master regulators for biliary atresia Sun, Panpan Xiao, Manhuan Chen, Huadong Zhong, Zhihai Jiang, Hong Feng, Xuyang Luo, Zhenhua Front Pediatr Pediatrics Biliary atresia (BA) is a devastating cholangiopathy in neonate. Transcription factors (TFs), a type of master regulators in biological processes and diseases, have been implicated in pathogenesis of BA. However, a global view of TFs and how they link to clinical presentations remain explored. Here, we perform a joint transcriptional regulatory network and protein activity inference analysis in order to investigate transcription factor activity in BA. By integration of three independent human BA liver transcriptome datasets, we identify 22 common master regulators, with 14 activated- and 8 repressed TFs. Gene targets of activated TFs are enriched in biological processes of SMAD, NF-kappaB and TGF-beta, while those of repressed TFs are related to lipid metabolism. Mining the clinical association of TFs, we identify inflammation-, fibrosis- and survival associated TFs. In particular, ZNF14 is predictive of poor survival and advanced live fibrosis. Supporting this observation, ZNF14 is positively correlated with T helper cells, cholangiocytes and hepatic stellate cells. In sum, our analysis reveals key clinically associated master regulators for BA. Frontiers Media S.A. 2022-11-11 /pmc/articles/PMC9691841/ /pubmed/36440333 http://dx.doi.org/10.3389/fped.2022.1050326 Text en © 2022 Sun, Xiao, Chen, Zhong, Jiang, Feng and Luo. 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
Sun, Panpan
Xiao, Manhuan
Chen, Huadong
Zhong, Zhihai
Jiang, Hong
Feng, Xuyang
Luo, Zhenhua
A joint transcriptional regulatory network and protein activity inference analysis identifies clinically associated master regulators for biliary atresia
title A joint transcriptional regulatory network and protein activity inference analysis identifies clinically associated master regulators for biliary atresia
title_full A joint transcriptional regulatory network and protein activity inference analysis identifies clinically associated master regulators for biliary atresia
title_fullStr A joint transcriptional regulatory network and protein activity inference analysis identifies clinically associated master regulators for biliary atresia
title_full_unstemmed A joint transcriptional regulatory network and protein activity inference analysis identifies clinically associated master regulators for biliary atresia
title_short A joint transcriptional regulatory network and protein activity inference analysis identifies clinically associated master regulators for biliary atresia
title_sort joint transcriptional regulatory network and protein activity inference analysis identifies clinically associated master regulators for biliary atresia
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691841/
https://www.ncbi.nlm.nih.gov/pubmed/36440333
http://dx.doi.org/10.3389/fped.2022.1050326
work_keys_str_mv AT sunpanpan ajointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT xiaomanhuan ajointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT chenhuadong ajointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT zhongzhihai ajointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT jianghong ajointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT fengxuyang ajointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT luozhenhua ajointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT sunpanpan jointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT xiaomanhuan jointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT chenhuadong jointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT zhongzhihai jointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT jianghong jointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT fengxuyang jointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia
AT luozhenhua jointtranscriptionalregulatorynetworkandproteinactivityinferenceanalysisidentifiesclinicallyassociatedmasterregulatorsforbiliaryatresia