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Computational Identification of Master Regulators Influencing Trypanotolerance in Cattle

African Animal Trypanosomiasis (AAT) is transmitted by the tsetse fly which carries pathogenic trypanosomes in its saliva, thus causing debilitating infection to livestock health. As the disease advances, a multistage progression process is observed based on the progressive clinical signs displayed...

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Autores principales: Rajavel, Abirami, Schmitt, Armin Otto, Gültas, Mehmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827104/
https://www.ncbi.nlm.nih.gov/pubmed/33429951
http://dx.doi.org/10.3390/ijms22020562
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author Rajavel, Abirami
Schmitt, Armin Otto
Gültas, Mehmet
author_facet Rajavel, Abirami
Schmitt, Armin Otto
Gültas, Mehmet
author_sort Rajavel, Abirami
collection PubMed
description African Animal Trypanosomiasis (AAT) is transmitted by the tsetse fly which carries pathogenic trypanosomes in its saliva, thus causing debilitating infection to livestock health. As the disease advances, a multistage progression process is observed based on the progressive clinical signs displayed in the host’s body. Investigation of genes expressed with regular monotonic patterns (known as Monotonically Expressed Genes (MEGs)) and of their master regulators can provide important clue for the understanding of the molecular mechanisms underlying the AAT disease. For this purpose, we analysed MEGs for three tissues (liver, spleen and lymph node) of two cattle breeds, namely trypanosusceptible Boran and trypanotolerant N’Dama. Our analysis revealed cattle breed-specific master regulators which are highly related to distinguish the genetic programs in both cattle breeds. Especially the master regulators MYC and DBP found in this study, seem to influence the immune responses strongly, thereby susceptibility and trypanotolerance of Boran and N’Dama respectively. Furthermore, our pathway analysis also bolsters the crucial roles of these master regulators. Taken together, our findings provide novel insights into breed-specific master regulators which orchestrate the regulatory cascades influencing the level of trypanotolerance in cattle breeds and thus could be promising drug targets for future therapeutic interventions.
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spelling pubmed-78271042021-01-25 Computational Identification of Master Regulators Influencing Trypanotolerance in Cattle Rajavel, Abirami Schmitt, Armin Otto Gültas, Mehmet Int J Mol Sci Article African Animal Trypanosomiasis (AAT) is transmitted by the tsetse fly which carries pathogenic trypanosomes in its saliva, thus causing debilitating infection to livestock health. As the disease advances, a multistage progression process is observed based on the progressive clinical signs displayed in the host’s body. Investigation of genes expressed with regular monotonic patterns (known as Monotonically Expressed Genes (MEGs)) and of their master regulators can provide important clue for the understanding of the molecular mechanisms underlying the AAT disease. For this purpose, we analysed MEGs for three tissues (liver, spleen and lymph node) of two cattle breeds, namely trypanosusceptible Boran and trypanotolerant N’Dama. Our analysis revealed cattle breed-specific master regulators which are highly related to distinguish the genetic programs in both cattle breeds. Especially the master regulators MYC and DBP found in this study, seem to influence the immune responses strongly, thereby susceptibility and trypanotolerance of Boran and N’Dama respectively. Furthermore, our pathway analysis also bolsters the crucial roles of these master regulators. Taken together, our findings provide novel insights into breed-specific master regulators which orchestrate the regulatory cascades influencing the level of trypanotolerance in cattle breeds and thus could be promising drug targets for future therapeutic interventions. MDPI 2021-01-08 /pmc/articles/PMC7827104/ /pubmed/33429951 http://dx.doi.org/10.3390/ijms22020562 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rajavel, Abirami
Schmitt, Armin Otto
Gültas, Mehmet
Computational Identification of Master Regulators Influencing Trypanotolerance in Cattle
title Computational Identification of Master Regulators Influencing Trypanotolerance in Cattle
title_full Computational Identification of Master Regulators Influencing Trypanotolerance in Cattle
title_fullStr Computational Identification of Master Regulators Influencing Trypanotolerance in Cattle
title_full_unstemmed Computational Identification of Master Regulators Influencing Trypanotolerance in Cattle
title_short Computational Identification of Master Regulators Influencing Trypanotolerance in Cattle
title_sort computational identification of master regulators influencing trypanotolerance in cattle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827104/
https://www.ncbi.nlm.nih.gov/pubmed/33429951
http://dx.doi.org/10.3390/ijms22020562
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