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MicroRNA profiling of mouse liver in response to DENV-1 infection by deep sequencing

BACKGROUND: Dengue caused by dengue virus (DENV) serotypes −1 to −4 is the most important mosquito-borne viral disease in the tropical and sub-tropical countries worldwide. Yet many of the pathophysiological mechanisms of host responses during DENV infection remain largely unknown and incompletely u...

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Autores principales: Pong, Lian Yih, Parkkinen, Sinikka, Dhanoa, Amreeta, Gan, Han Ming, Wickremesinghe, Indeevari Abisheka Chiharu, Syed Hassan, Sharifah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482938/
https://www.ncbi.nlm.nih.gov/pubmed/31065454
http://dx.doi.org/10.7717/peerj.6697
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author Pong, Lian Yih
Parkkinen, Sinikka
Dhanoa, Amreeta
Gan, Han Ming
Wickremesinghe, Indeevari Abisheka Chiharu
Syed Hassan, Sharifah
author_facet Pong, Lian Yih
Parkkinen, Sinikka
Dhanoa, Amreeta
Gan, Han Ming
Wickremesinghe, Indeevari Abisheka Chiharu
Syed Hassan, Sharifah
author_sort Pong, Lian Yih
collection PubMed
description BACKGROUND: Dengue caused by dengue virus (DENV) serotypes −1 to −4 is the most important mosquito-borne viral disease in the tropical and sub-tropical countries worldwide. Yet many of the pathophysiological mechanisms of host responses during DENV infection remain largely unknown and incompletely understood. METHODS: Using a mouse model, the miRNA expressions in liver during DENV-1 infection was investigated using high throughput miRNA sequencing. The differential expressions of miRNAs were then validated by qPCR, followed by target genes prediction. The identified miRNA targets were subjected to gene ontology (GO) annotation and pathway enrichment analysis to elucidate the potential biological pathways and molecular mechanisms associated with DENV-1 infection. RESULTS: A total of 224 and 372 miRNAs out of 433 known mouse miRNAs were detected in the livers of DENV-1-infected and uninfected mice, respectively; of these, 207 miRNAs were present in both libraries. The miR-148a-3p and miR-122-5p were the two most abundant miRNAs in both groups. Thirty-one miRNAs were found to have at least 2-fold change in upregulation or downregulation, in which seven miRNAs were upregulated and 24 miRNAs were downregulated in the DENV-1-infected mouse livers. The miR-1a-3p was found to be the most downregulated miRNA in the DENV-1-infected mouse livers, with a significant fold change of 0.10. To validate the miRNA sequencing result, the expression pattern of 12 miRNAs, which were highly differentially expressed or most abundant, were assessed by qPCR and nine of them correlated positively with the one observed in deep sequencing. In silico functional analysis revealed that the adaptive immune responses involving TGF-beta, MAPK, PI3K-Akt, Rap1, Wnt and Ras signalling pathways were modulated collectively by 23 highly differentially expressed miRNAs during DENV-1 infection. CONCLUSION: This study provides the first insight into the global miRNA expressions of mouse livers in response to DENV-1 infection in vivo and the possible roles of miRNAs in modulating the adaptive immune responses during DENV-1 infection.
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spelling pubmed-64829382019-05-07 MicroRNA profiling of mouse liver in response to DENV-1 infection by deep sequencing Pong, Lian Yih Parkkinen, Sinikka Dhanoa, Amreeta Gan, Han Ming Wickremesinghe, Indeevari Abisheka Chiharu Syed Hassan, Sharifah PeerJ Bioinformatics BACKGROUND: Dengue caused by dengue virus (DENV) serotypes −1 to −4 is the most important mosquito-borne viral disease in the tropical and sub-tropical countries worldwide. Yet many of the pathophysiological mechanisms of host responses during DENV infection remain largely unknown and incompletely understood. METHODS: Using a mouse model, the miRNA expressions in liver during DENV-1 infection was investigated using high throughput miRNA sequencing. The differential expressions of miRNAs were then validated by qPCR, followed by target genes prediction. The identified miRNA targets were subjected to gene ontology (GO) annotation and pathway enrichment analysis to elucidate the potential biological pathways and molecular mechanisms associated with DENV-1 infection. RESULTS: A total of 224 and 372 miRNAs out of 433 known mouse miRNAs were detected in the livers of DENV-1-infected and uninfected mice, respectively; of these, 207 miRNAs were present in both libraries. The miR-148a-3p and miR-122-5p were the two most abundant miRNAs in both groups. Thirty-one miRNAs were found to have at least 2-fold change in upregulation or downregulation, in which seven miRNAs were upregulated and 24 miRNAs were downregulated in the DENV-1-infected mouse livers. The miR-1a-3p was found to be the most downregulated miRNA in the DENV-1-infected mouse livers, with a significant fold change of 0.10. To validate the miRNA sequencing result, the expression pattern of 12 miRNAs, which were highly differentially expressed or most abundant, were assessed by qPCR and nine of them correlated positively with the one observed in deep sequencing. In silico functional analysis revealed that the adaptive immune responses involving TGF-beta, MAPK, PI3K-Akt, Rap1, Wnt and Ras signalling pathways were modulated collectively by 23 highly differentially expressed miRNAs during DENV-1 infection. CONCLUSION: This study provides the first insight into the global miRNA expressions of mouse livers in response to DENV-1 infection in vivo and the possible roles of miRNAs in modulating the adaptive immune responses during DENV-1 infection. PeerJ Inc. 2019-04-22 /pmc/articles/PMC6482938/ /pubmed/31065454 http://dx.doi.org/10.7717/peerj.6697 Text en ©2019 Pong 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Pong, Lian Yih
Parkkinen, Sinikka
Dhanoa, Amreeta
Gan, Han Ming
Wickremesinghe, Indeevari Abisheka Chiharu
Syed Hassan, Sharifah
MicroRNA profiling of mouse liver in response to DENV-1 infection by deep sequencing
title MicroRNA profiling of mouse liver in response to DENV-1 infection by deep sequencing
title_full MicroRNA profiling of mouse liver in response to DENV-1 infection by deep sequencing
title_fullStr MicroRNA profiling of mouse liver in response to DENV-1 infection by deep sequencing
title_full_unstemmed MicroRNA profiling of mouse liver in response to DENV-1 infection by deep sequencing
title_short MicroRNA profiling of mouse liver in response to DENV-1 infection by deep sequencing
title_sort microrna profiling of mouse liver in response to denv-1 infection by deep sequencing
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482938/
https://www.ncbi.nlm.nih.gov/pubmed/31065454
http://dx.doi.org/10.7717/peerj.6697
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