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Transcriptome datasets of macrophages infected with different strains of Leptospira spp
The datasets reported herein provide information about microarray experiment of macrophage cell line J774A.1 infected with three different strains of Leptospira spp. Transcriptomic profiles were generated using Affymetrix® Mouse Gene 2.1 ST Array Strip. Data was normalized and statically process, p-...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758930/ https://www.ncbi.nlm.nih.gov/pubmed/29326966 http://dx.doi.org/10.1016/j.dib.2017.12.042 |
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author | de Araújo Junior, Erivelto Corrêa Garcia, Leandro Encarnação Melo, Larissa Martins Bragato, Jaqueline Poleto de Lima, Valéria Marçal Félix Peiró, Juliana Regina Lopes, Flavia Lombardi Marinho, Márcia |
author_facet | de Araújo Junior, Erivelto Corrêa Garcia, Leandro Encarnação Melo, Larissa Martins Bragato, Jaqueline Poleto de Lima, Valéria Marçal Félix Peiró, Juliana Regina Lopes, Flavia Lombardi Marinho, Márcia |
author_sort | de Araújo Junior, Erivelto Corrêa |
collection | PubMed |
description | The datasets reported herein provide information about microarray experiment of macrophage cell line J774A.1 infected with three different strains of Leptospira spp. Transcriptomic profiles were generated using Affymetrix® Mouse Gene 2.1 ST Array Strip. Data was normalized and statically process, p-value < 0.01, FDR < 0.05 and log2 fold change (± 2). The microarray raw data are available in Gene Expression Omnibus (GEO) under accession number GSE105141. |
format | Online Article Text |
id | pubmed-5758930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-57589302018-01-11 Transcriptome datasets of macrophages infected with different strains of Leptospira spp de Araújo Junior, Erivelto Corrêa Garcia, Leandro Encarnação Melo, Larissa Martins Bragato, Jaqueline Poleto de Lima, Valéria Marçal Félix Peiró, Juliana Regina Lopes, Flavia Lombardi Marinho, Márcia Data Brief Immunology and Microbiology The datasets reported herein provide information about microarray experiment of macrophage cell line J774A.1 infected with three different strains of Leptospira spp. Transcriptomic profiles were generated using Affymetrix® Mouse Gene 2.1 ST Array Strip. Data was normalized and statically process, p-value < 0.01, FDR < 0.05 and log2 fold change (± 2). The microarray raw data are available in Gene Expression Omnibus (GEO) under accession number GSE105141. Elsevier 2017-12-21 /pmc/articles/PMC5758930/ /pubmed/29326966 http://dx.doi.org/10.1016/j.dib.2017.12.042 Text en © 2018 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Immunology and Microbiology de Araújo Junior, Erivelto Corrêa Garcia, Leandro Encarnação Melo, Larissa Martins Bragato, Jaqueline Poleto de Lima, Valéria Marçal Félix Peiró, Juliana Regina Lopes, Flavia Lombardi Marinho, Márcia Transcriptome datasets of macrophages infected with different strains of Leptospira spp |
title | Transcriptome datasets of macrophages infected with different strains of Leptospira spp |
title_full | Transcriptome datasets of macrophages infected with different strains of Leptospira spp |
title_fullStr | Transcriptome datasets of macrophages infected with different strains of Leptospira spp |
title_full_unstemmed | Transcriptome datasets of macrophages infected with different strains of Leptospira spp |
title_short | Transcriptome datasets of macrophages infected with different strains of Leptospira spp |
title_sort | transcriptome datasets of macrophages infected with different strains of leptospira spp |
topic | Immunology and Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758930/ https://www.ncbi.nlm.nih.gov/pubmed/29326966 http://dx.doi.org/10.1016/j.dib.2017.12.042 |
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