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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...

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Autores principales: Min, Jun, Ningappa, Mylarappa, So, Juhoon, Shin, Donghun, Sindhi, Rakesh, Subramaniam, Shankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
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.
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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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