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Comparative analysis of human and mouse transcriptomes of Th17 cell priming

Uncontrolled Th17 cell activity is associated with cancer and autoimmune and inflammatory diseases. To validate the potential relevance of mouse models of targeting the Th17 pathway in human diseases we used RNA sequencing to compare the expression of coding and non-coding transcripts during the pri...

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Autores principales: Tuomela, Soile, Rautio, Sini, Ahlfors, Helena, Öling, Viveka, Salo, Verna, Ullah, Ubaid, Chen, Zhi, Hämälistö, Saara, Tripathi, Subhash K., Äijö, Tarmo, Rasool, Omid, Soueidan, Hayssam, Wessels, Lodewyk, Stockinger, Brigitta, Lähdesmäki, Harri, Lahesmaa, Riitta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924651/
https://www.ncbi.nlm.nih.gov/pubmed/26967054
http://dx.doi.org/10.18632/oncotarget.7963
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author Tuomela, Soile
Rautio, Sini
Ahlfors, Helena
Öling, Viveka
Salo, Verna
Ullah, Ubaid
Chen, Zhi
Hämälistö, Saara
Tripathi, Subhash K.
Äijö, Tarmo
Rasool, Omid
Soueidan, Hayssam
Wessels, Lodewyk
Stockinger, Brigitta
Lähdesmäki, Harri
Lahesmaa, Riitta
author_facet Tuomela, Soile
Rautio, Sini
Ahlfors, Helena
Öling, Viveka
Salo, Verna
Ullah, Ubaid
Chen, Zhi
Hämälistö, Saara
Tripathi, Subhash K.
Äijö, Tarmo
Rasool, Omid
Soueidan, Hayssam
Wessels, Lodewyk
Stockinger, Brigitta
Lähdesmäki, Harri
Lahesmaa, Riitta
author_sort Tuomela, Soile
collection PubMed
description Uncontrolled Th17 cell activity is associated with cancer and autoimmune and inflammatory diseases. To validate the potential relevance of mouse models of targeting the Th17 pathway in human diseases we used RNA sequencing to compare the expression of coding and non-coding transcripts during the priming of Th17 cell differentiation in both human and mouse. In addition to already known targets, several transcripts not previously linked to Th17 cell polarization were found in both species. Moreover, a considerable number of human-specific long non-coding RNAs were identified that responded to cytokines stimulating Th17 cell differentiation. We integrated our transcriptomics data with known disease-associated polymorphisms and show that conserved regulation pinpoints genes that are relevant to Th17 cell-mediated human diseases and that can be modelled in mouse. Substantial differences observed in non-coding transcriptomes between the two species as well as increased overlap between Th17 cell-specific gene expression and disease-associated polymorphisms underline the need of parallel analysis of human and mouse models. Comprehensive analysis of genes regulated during Th17 cell priming and their classification to conserved and non-conserved between human and mouse facilitates translational research, pointing out which candidate targets identified in human are worth studying by using in vivo mouse models.
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spelling pubmed-49246512016-07-13 Comparative analysis of human and mouse transcriptomes of Th17 cell priming Tuomela, Soile Rautio, Sini Ahlfors, Helena Öling, Viveka Salo, Verna Ullah, Ubaid Chen, Zhi Hämälistö, Saara Tripathi, Subhash K. Äijö, Tarmo Rasool, Omid Soueidan, Hayssam Wessels, Lodewyk Stockinger, Brigitta Lähdesmäki, Harri Lahesmaa, Riitta Oncotarget Research Paper: Immunology Uncontrolled Th17 cell activity is associated with cancer and autoimmune and inflammatory diseases. To validate the potential relevance of mouse models of targeting the Th17 pathway in human diseases we used RNA sequencing to compare the expression of coding and non-coding transcripts during the priming of Th17 cell differentiation in both human and mouse. In addition to already known targets, several transcripts not previously linked to Th17 cell polarization were found in both species. Moreover, a considerable number of human-specific long non-coding RNAs were identified that responded to cytokines stimulating Th17 cell differentiation. We integrated our transcriptomics data with known disease-associated polymorphisms and show that conserved regulation pinpoints genes that are relevant to Th17 cell-mediated human diseases and that can be modelled in mouse. Substantial differences observed in non-coding transcriptomes between the two species as well as increased overlap between Th17 cell-specific gene expression and disease-associated polymorphisms underline the need of parallel analysis of human and mouse models. Comprehensive analysis of genes regulated during Th17 cell priming and their classification to conserved and non-conserved between human and mouse facilitates translational research, pointing out which candidate targets identified in human are worth studying by using in vivo mouse models. Impact Journals LLC 2016-03-07 /pmc/articles/PMC4924651/ /pubmed/26967054 http://dx.doi.org/10.18632/oncotarget.7963 Text en Copyright: © 2016 Tuomela et al. http://creativecommons.org/licenses/by/2.5/ 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 credited.
spellingShingle Research Paper: Immunology
Tuomela, Soile
Rautio, Sini
Ahlfors, Helena
Öling, Viveka
Salo, Verna
Ullah, Ubaid
Chen, Zhi
Hämälistö, Saara
Tripathi, Subhash K.
Äijö, Tarmo
Rasool, Omid
Soueidan, Hayssam
Wessels, Lodewyk
Stockinger, Brigitta
Lähdesmäki, Harri
Lahesmaa, Riitta
Comparative analysis of human and mouse transcriptomes of Th17 cell priming
title Comparative analysis of human and mouse transcriptomes of Th17 cell priming
title_full Comparative analysis of human and mouse transcriptomes of Th17 cell priming
title_fullStr Comparative analysis of human and mouse transcriptomes of Th17 cell priming
title_full_unstemmed Comparative analysis of human and mouse transcriptomes of Th17 cell priming
title_short Comparative analysis of human and mouse transcriptomes of Th17 cell priming
title_sort comparative analysis of human and mouse transcriptomes of th17 cell priming
topic Research Paper: Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924651/
https://www.ncbi.nlm.nih.gov/pubmed/26967054
http://dx.doi.org/10.18632/oncotarget.7963
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