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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,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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 |
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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 |
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