Transcriptome Sequencing Data Sets of Human Lung Epithelial Cells in the Course of Francisella tularensis Infection

Francisella tularensis is a highly infectious intracellular bacterium representing the causative agent of tularemia, a severe disease which requires prompt antibacterial intervention for mitigating its potential high mortality. Inhaled bacteria interact with lung cells belonging to various subpopula...

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Autores principales: Bercovich-Kinori, Adi, Israeli, Ma’ayan, Chitlaru, Theodor, Cohen-Gihon, Inbar, Israeli, Ofir, Cohen, Ofer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Omics Data Sets
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561695/
https://www.ncbi.nlm.nih.gov/pubmed/33060276
http://dx.doi.org/10.1128/MRA.00991-20
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author Bercovich-Kinori, Adi
Israeli, Ma’ayan
Chitlaru, Theodor
Cohen-Gihon, Inbar
Israeli, Ofir
Cohen, Ofer
author_facet Bercovich-Kinori, Adi
Israeli, Ma’ayan
Chitlaru, Theodor
Cohen-Gihon, Inbar
Israeli, Ofir
Cohen, Ofer
author_sort Bercovich-Kinori, Adi
collection PubMed
description Francisella tularensis is a highly infectious intracellular bacterium representing the causative agent of tularemia, a severe disease which requires prompt antibacterial intervention for mitigating its potential high mortality. Inhaled bacteria interact with lung cells belonging to various subpopulations, including those of the epithelium. As of today, the host epithelial response to inhalational infection with F. tularensis is poorly understood. Here, we announce host transcriptome data sets which systematically address the human epithelial response to F. tularensis at different time points postinfection.
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spelling pubmed-75616952020-10-30 Transcriptome Sequencing Data Sets of Human Lung Epithelial Cells in the Course of Francisella tularensis Infection Bercovich-Kinori, Adi Israeli, Ma’ayan Chitlaru, Theodor Cohen-Gihon, Inbar Israeli, Ofir Cohen, Ofer Microbiol Resour Announc Omics Data Sets Francisella tularensis is a highly infectious intracellular bacterium representing the causative agent of tularemia, a severe disease which requires prompt antibacterial intervention for mitigating its potential high mortality. Inhaled bacteria interact with lung cells belonging to various subpopulations, including those of the epithelium. As of today, the host epithelial response to inhalational infection with F. tularensis is poorly understood. Here, we announce host transcriptome data sets which systematically address the human epithelial response to F. tularensis at different time points postinfection. American Society for Microbiology 2020-10-15 /pmc/articles/PMC7561695/ /pubmed/33060276 http://dx.doi.org/10.1128/MRA.00991-20 Text en Copyright © 2020 Bercovich-Kinori et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Omics Data Sets
Bercovich-Kinori, Adi
Israeli, Ma’ayan
Chitlaru, Theodor
Cohen-Gihon, Inbar
Israeli, Ofir
Cohen, Ofer
Transcriptome Sequencing Data Sets of Human Lung Epithelial Cells in the Course of Francisella tularensis Infection
title Transcriptome Sequencing Data Sets of Human Lung Epithelial Cells in the Course of Francisella tularensis Infection
title_full Transcriptome Sequencing Data Sets of Human Lung Epithelial Cells in the Course of Francisella tularensis Infection
title_fullStr Transcriptome Sequencing Data Sets of Human Lung Epithelial Cells in the Course of Francisella tularensis Infection
title_full_unstemmed Transcriptome Sequencing Data Sets of Human Lung Epithelial Cells in the Course of Francisella tularensis Infection
title_short Transcriptome Sequencing Data Sets of Human Lung Epithelial Cells in the Course of Francisella tularensis Infection
title_sort transcriptome sequencing data sets of human lung epithelial cells in the course of francisella tularensis infection
topic Omics Data Sets
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561695/
https://www.ncbi.nlm.nih.gov/pubmed/33060276
http://dx.doi.org/10.1128/MRA.00991-20
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