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Discernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genes

BACKGROUND: Hepatotoxicity is a form of liver injury caused by exposure to stressors. Genomic-based approaches have been used to detect changes in transcription in response to hepatotoxicants. However, there are no straightforward ways of using co-expressed genes anchored to a phenotype or constrain...

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Autores principales: Chou, Jeff W, Bushel, Pierre R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2706894/
https://www.ncbi.nlm.nih.gov/pubmed/19538742
http://dx.doi.org/10.1186/1471-2164-10-272
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author Chou, Jeff W
Bushel, Pierre R
author_facet Chou, Jeff W
Bushel, Pierre R
author_sort Chou, Jeff W
collection PubMed
description BACKGROUND: Hepatotoxicity is a form of liver injury caused by exposure to stressors. Genomic-based approaches have been used to detect changes in transcription in response to hepatotoxicants. However, there are no straightforward ways of using co-expressed genes anchored to a phenotype or constrained by the experimental design for discerning mechanisms of a biological response. RESULTS: Through the analysis of a gene expression dataset containing 318 liver samples from rats exposed to hepatotoxicants and leveraging alanine aminotransferase (ALT), a serum enzyme indicative of liver injury as the phenotypic marker, we identified biological processes and molecular pathways that may be associated with mechanisms of hepatotoxicity. Our analysis used an approach called Coherent Co-expression Biclustering (cc-Biclustering) for clustering a subset of genes through a coherent (consistency) measure within each group of samples representing a subset of experimental conditions. Supervised biclustering identified 87 genes co-expressed and correlated with ALT in all the samples exposed to the chemicals. None of the over-represented pathways related to liver injury. However, biclusters with subsets of samples exposed to one of the 7 hepatotoxicants, but not to a non-toxic isomer, contained co-expressed genes that represented pathways related to a stress response. Unsupervised biclustering of the data resulted in 1) four to five times more genes within the bicluster containing all the samples exposed to the chemicals, 2) biclusters with co-expression of genes that discerned 1,4 dichlorobenzene (a non-toxic isomer at low and mid doses) from the other chemicals, pathways and biological processes that underlie liver injury and 3) a bicluster with genes up-regulated in an early response to toxic exposure. CONCLUSION: We obtained clusters of co-expressed genes that over-represented biological processes and molecular pathways related to hepatotoxicity in the rat. The mechanisms involved in the response of the liver to the exposure to 1,4-dichlorobenzene suggest non-genotoxicity whereas the exposure to the hepatotoxicants could be DNA damaging leading to overall genomic instability and activation of cell cycle check point signaling. In addition, key pathways and biological processes representative of an inflammatory response, energy production and apoptosis were impacted by the hepatotoxicant exposures that manifested liver injury in the rat.
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spelling pubmed-27068942009-07-08 Discernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genes Chou, Jeff W Bushel, Pierre R BMC Genomics Research Article BACKGROUND: Hepatotoxicity is a form of liver injury caused by exposure to stressors. Genomic-based approaches have been used to detect changes in transcription in response to hepatotoxicants. However, there are no straightforward ways of using co-expressed genes anchored to a phenotype or constrained by the experimental design for discerning mechanisms of a biological response. RESULTS: Through the analysis of a gene expression dataset containing 318 liver samples from rats exposed to hepatotoxicants and leveraging alanine aminotransferase (ALT), a serum enzyme indicative of liver injury as the phenotypic marker, we identified biological processes and molecular pathways that may be associated with mechanisms of hepatotoxicity. Our analysis used an approach called Coherent Co-expression Biclustering (cc-Biclustering) for clustering a subset of genes through a coherent (consistency) measure within each group of samples representing a subset of experimental conditions. Supervised biclustering identified 87 genes co-expressed and correlated with ALT in all the samples exposed to the chemicals. None of the over-represented pathways related to liver injury. However, biclusters with subsets of samples exposed to one of the 7 hepatotoxicants, but not to a non-toxic isomer, contained co-expressed genes that represented pathways related to a stress response. Unsupervised biclustering of the data resulted in 1) four to five times more genes within the bicluster containing all the samples exposed to the chemicals, 2) biclusters with co-expression of genes that discerned 1,4 dichlorobenzene (a non-toxic isomer at low and mid doses) from the other chemicals, pathways and biological processes that underlie liver injury and 3) a bicluster with genes up-regulated in an early response to toxic exposure. CONCLUSION: We obtained clusters of co-expressed genes that over-represented biological processes and molecular pathways related to hepatotoxicity in the rat. The mechanisms involved in the response of the liver to the exposure to 1,4-dichlorobenzene suggest non-genotoxicity whereas the exposure to the hepatotoxicants could be DNA damaging leading to overall genomic instability and activation of cell cycle check point signaling. In addition, key pathways and biological processes representative of an inflammatory response, energy production and apoptosis were impacted by the hepatotoxicant exposures that manifested liver injury in the rat. BioMed Central 2009-06-18 /pmc/articles/PMC2706894/ /pubmed/19538742 http://dx.doi.org/10.1186/1471-2164-10-272 Text en Copyright © 2009 Chou and Bushel; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chou, Jeff W
Bushel, Pierre R
Discernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genes
title Discernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genes
title_full Discernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genes
title_fullStr Discernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genes
title_full_unstemmed Discernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genes
title_short Discernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genes
title_sort discernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2706894/
https://www.ncbi.nlm.nih.gov/pubmed/19538742
http://dx.doi.org/10.1186/1471-2164-10-272
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