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Deciphering the Developmental Dynamics of the Mouse Liver Transcriptome

During development, liver undergoes a rapid transition from a hematopoietic organ to a major organ for drug metabolism and nutrient homeostasis. However, little is known on a transcriptome level of the genes and RNA-splicing variants that are differentially regulated with age, and which up-stream re...

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Autores principales: Gunewardena, Sumedha S., Yoo, Byunggil, Peng, Lai, Lu, Hong, Zhong, Xiaobo, Klaassen, Curtis D., Cui, Julia Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619800/
https://www.ncbi.nlm.nih.gov/pubmed/26496202
http://dx.doi.org/10.1371/journal.pone.0141220
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author Gunewardena, Sumedha S.
Yoo, Byunggil
Peng, Lai
Lu, Hong
Zhong, Xiaobo
Klaassen, Curtis D.
Cui, Julia Yue
author_facet Gunewardena, Sumedha S.
Yoo, Byunggil
Peng, Lai
Lu, Hong
Zhong, Xiaobo
Klaassen, Curtis D.
Cui, Julia Yue
author_sort Gunewardena, Sumedha S.
collection PubMed
description During development, liver undergoes a rapid transition from a hematopoietic organ to a major organ for drug metabolism and nutrient homeostasis. However, little is known on a transcriptome level of the genes and RNA-splicing variants that are differentially regulated with age, and which up-stream regulators orchestrate age-specific biological functions in liver. We used RNA-Seq to interrogate the developmental dynamics of the liver transcriptome in mice at 12 ages from late embryonic stage (2-days before birth) to maturity (60-days after birth). Among 21,889 unique NCBI RefSeq-annotated genes, 9,641 were significantly expressed in at least one age, 7,289 were differently regulated with age, and 859 had multiple (> = 2) RNA splicing-variants. Factor analysis showed that the dynamics of hepatic genes fall into six distinct groups based on their temporal expression. The average expression of cytokines, ion channels, kinases, phosphatases, transcription regulators and translation regulators decreased with age, whereas the average expression of peptidases, enzymes and transmembrane receptors increased with age. The average expression of growth factors peak between Day-3 and Day-10, and decrease thereafter. We identified critical biological functions, upstream regulators, and putative transcription modules that seem to govern age-specific gene expression. We also observed differential ontogenic expression of known splicing variants of certain genes, and 1,455 novel splicing isoform candidates. In conclusion, the hepatic ontogeny of the transcriptome ontogeny has unveiled critical networks and up-stream regulators that orchestrate age-specific biological functions in liver, and suggest that age contributes to the complexity of the alternative splicing landscape of the hepatic transcriptome.
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spelling pubmed-46198002015-10-29 Deciphering the Developmental Dynamics of the Mouse Liver Transcriptome Gunewardena, Sumedha S. Yoo, Byunggil Peng, Lai Lu, Hong Zhong, Xiaobo Klaassen, Curtis D. Cui, Julia Yue PLoS One Research Article During development, liver undergoes a rapid transition from a hematopoietic organ to a major organ for drug metabolism and nutrient homeostasis. However, little is known on a transcriptome level of the genes and RNA-splicing variants that are differentially regulated with age, and which up-stream regulators orchestrate age-specific biological functions in liver. We used RNA-Seq to interrogate the developmental dynamics of the liver transcriptome in mice at 12 ages from late embryonic stage (2-days before birth) to maturity (60-days after birth). Among 21,889 unique NCBI RefSeq-annotated genes, 9,641 were significantly expressed in at least one age, 7,289 were differently regulated with age, and 859 had multiple (> = 2) RNA splicing-variants. Factor analysis showed that the dynamics of hepatic genes fall into six distinct groups based on their temporal expression. The average expression of cytokines, ion channels, kinases, phosphatases, transcription regulators and translation regulators decreased with age, whereas the average expression of peptidases, enzymes and transmembrane receptors increased with age. The average expression of growth factors peak between Day-3 and Day-10, and decrease thereafter. We identified critical biological functions, upstream regulators, and putative transcription modules that seem to govern age-specific gene expression. We also observed differential ontogenic expression of known splicing variants of certain genes, and 1,455 novel splicing isoform candidates. In conclusion, the hepatic ontogeny of the transcriptome ontogeny has unveiled critical networks and up-stream regulators that orchestrate age-specific biological functions in liver, and suggest that age contributes to the complexity of the alternative splicing landscape of the hepatic transcriptome. Public Library of Science 2015-10-23 /pmc/articles/PMC4619800/ /pubmed/26496202 http://dx.doi.org/10.1371/journal.pone.0141220 Text en © 2015 Gunewardena et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Gunewardena, Sumedha S.
Yoo, Byunggil
Peng, Lai
Lu, Hong
Zhong, Xiaobo
Klaassen, Curtis D.
Cui, Julia Yue
Deciphering the Developmental Dynamics of the Mouse Liver Transcriptome
title Deciphering the Developmental Dynamics of the Mouse Liver Transcriptome
title_full Deciphering the Developmental Dynamics of the Mouse Liver Transcriptome
title_fullStr Deciphering the Developmental Dynamics of the Mouse Liver Transcriptome
title_full_unstemmed Deciphering the Developmental Dynamics of the Mouse Liver Transcriptome
title_short Deciphering the Developmental Dynamics of the Mouse Liver Transcriptome
title_sort deciphering the developmental dynamics of the mouse liver transcriptome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619800/
https://www.ncbi.nlm.nih.gov/pubmed/26496202
http://dx.doi.org/10.1371/journal.pone.0141220
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