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Systems Analysis of Biliary Atresia Through Integration of High-Throughput Biological Data
Biliary atresia (BA), blockage of the proper bile flow due to loss of extrahepatic bile ducts, is a rare, complex disease of the liver and the bile ducts with unknown etiology. Despite ongoing investigations to understand its complex pathogenesis, BA remains the most common cause of liver failure re...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426509/ https://www.ncbi.nlm.nih.gov/pubmed/32848883 http://dx.doi.org/10.3389/fphys.2020.00966 |
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author | Min, Jun Ningappa, Mylarappa So, Juhoon Shin, Donghun Sindhi, Rakesh Subramaniam, Shankar |
author_facet | Min, Jun Ningappa, Mylarappa So, Juhoon Shin, Donghun Sindhi, Rakesh Subramaniam, Shankar |
author_sort | Min, Jun |
collection | PubMed |
description | Biliary atresia (BA), blockage of the proper bile flow due to loss of extrahepatic bile ducts, is a rare, complex disease of the liver and the bile ducts with unknown etiology. Despite ongoing investigations to understand its complex pathogenesis, BA remains the most common cause of liver failure requiring liver transplantation in children. To elucidate underlying mechanisms, we analyzed the different types of high-throughput genomic and transcriptomic data collected from the blood and liver tissue samples of children suffering from BA. Through use of a novel integrative approach, we identified potential biomarkers and over-represented biological functions and pathways to derive a comprehensive network showing the dysfunctional mechanisms associated with BA. One of the pathways highlighted in the integrative network was hypoxia signaling. Perturbation with hypoxia inducible factor activator, dimethyloxalylglycine, induced the biliary defects of BA in a zebrafish model, serving as a validation for our studies. Our approach enables a systems-level understanding of human BA biology that is highlighted by the interaction between key biological functions such as fibrosis, inflammation, immunity, hypoxia, and development. |
format | Online Article Text |
id | pubmed-7426509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74265092020-08-25 Systems Analysis of Biliary Atresia Through Integration of High-Throughput Biological Data Min, Jun Ningappa, Mylarappa So, Juhoon Shin, Donghun Sindhi, Rakesh Subramaniam, Shankar Front Physiol Physiology Biliary atresia (BA), blockage of the proper bile flow due to loss of extrahepatic bile ducts, is a rare, complex disease of the liver and the bile ducts with unknown etiology. Despite ongoing investigations to understand its complex pathogenesis, BA remains the most common cause of liver failure requiring liver transplantation in children. To elucidate underlying mechanisms, we analyzed the different types of high-throughput genomic and transcriptomic data collected from the blood and liver tissue samples of children suffering from BA. Through use of a novel integrative approach, we identified potential biomarkers and over-represented biological functions and pathways to derive a comprehensive network showing the dysfunctional mechanisms associated with BA. One of the pathways highlighted in the integrative network was hypoxia signaling. Perturbation with hypoxia inducible factor activator, dimethyloxalylglycine, induced the biliary defects of BA in a zebrafish model, serving as a validation for our studies. Our approach enables a systems-level understanding of human BA biology that is highlighted by the interaction between key biological functions such as fibrosis, inflammation, immunity, hypoxia, and development. Frontiers Media S.A. 2020-08-07 /pmc/articles/PMC7426509/ /pubmed/32848883 http://dx.doi.org/10.3389/fphys.2020.00966 Text en Copyright © 2020 Min, Ningappa, So, Shin, Sindhi and Subramaniam. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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 | Physiology Min, Jun Ningappa, Mylarappa So, Juhoon Shin, Donghun Sindhi, Rakesh Subramaniam, Shankar Systems Analysis of Biliary Atresia Through Integration of High-Throughput Biological Data |
title | Systems Analysis of Biliary Atresia Through Integration of High-Throughput Biological Data |
title_full | Systems Analysis of Biliary Atresia Through Integration of High-Throughput Biological Data |
title_fullStr | Systems Analysis of Biliary Atresia Through Integration of High-Throughput Biological Data |
title_full_unstemmed | Systems Analysis of Biliary Atresia Through Integration of High-Throughput Biological Data |
title_short | Systems Analysis of Biliary Atresia Through Integration of High-Throughput Biological Data |
title_sort | systems analysis of biliary atresia through integration of high-throughput biological data |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426509/ https://www.ncbi.nlm.nih.gov/pubmed/32848883 http://dx.doi.org/10.3389/fphys.2020.00966 |
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