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Microarray gene expression analysis of neutrophils from elderly septic patients

Sepsis is an especially common affliction in the elderly and despite its increased prevalence and mortality in older people, the immune response of the elderly during septic shock appears similar to that of younger patients. In the original study we conducted a global gene expression analysis of cir...

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Detalles Bibliográficos
Autores principales: Pellegrina, Diogo Vieira da Silva, Severino, Patricia, Machado, Marcel Cerqueira, da Silva, Fabiano Pinheiro, Reis, Eduardo Moraes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664687/
https://www.ncbi.nlm.nih.gov/pubmed/26697331
http://dx.doi.org/10.1016/j.gdata.2015.08.013
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author Pellegrina, Diogo Vieira da Silva
Severino, Patricia
Machado, Marcel Cerqueira
da Silva, Fabiano Pinheiro
Reis, Eduardo Moraes
author_facet Pellegrina, Diogo Vieira da Silva
Severino, Patricia
Machado, Marcel Cerqueira
da Silva, Fabiano Pinheiro
Reis, Eduardo Moraes
author_sort Pellegrina, Diogo Vieira da Silva
collection PubMed
description Sepsis is an especially common affliction in the elderly and despite its increased prevalence and mortality in older people, the immune response of the elderly during septic shock appears similar to that of younger patients. In the original study we conducted a global gene expression analysis of circulating neutrophils from elderly and young septic patients, as well as from age-matched healthy controls, to better understand how elder individuals respond to severe infectious insult (Pellegrina et al., 2015). Here we provide additional details pertaining processing and statistical analysis of the microarray data. Raw and normalized datasets linked to this project have been deposited in the Gene Expression Omnibus (GEO) database under accession number GSE67652.
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spelling pubmed-46646872015-12-22 Microarray gene expression analysis of neutrophils from elderly septic patients Pellegrina, Diogo Vieira da Silva Severino, Patricia Machado, Marcel Cerqueira da Silva, Fabiano Pinheiro Reis, Eduardo Moraes Genom Data Data in Brief Sepsis is an especially common affliction in the elderly and despite its increased prevalence and mortality in older people, the immune response of the elderly during septic shock appears similar to that of younger patients. In the original study we conducted a global gene expression analysis of circulating neutrophils from elderly and young septic patients, as well as from age-matched healthy controls, to better understand how elder individuals respond to severe infectious insult (Pellegrina et al., 2015). Here we provide additional details pertaining processing and statistical analysis of the microarray data. Raw and normalized datasets linked to this project have been deposited in the Gene Expression Omnibus (GEO) database under accession number GSE67652. Elsevier 2015-08-12 /pmc/articles/PMC4664687/ /pubmed/26697331 http://dx.doi.org/10.1016/j.gdata.2015.08.013 Text en © 2015 Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data in Brief
Pellegrina, Diogo Vieira da Silva
Severino, Patricia
Machado, Marcel Cerqueira
da Silva, Fabiano Pinheiro
Reis, Eduardo Moraes
Microarray gene expression analysis of neutrophils from elderly septic patients
title Microarray gene expression analysis of neutrophils from elderly septic patients
title_full Microarray gene expression analysis of neutrophils from elderly septic patients
title_fullStr Microarray gene expression analysis of neutrophils from elderly septic patients
title_full_unstemmed Microarray gene expression analysis of neutrophils from elderly septic patients
title_short Microarray gene expression analysis of neutrophils from elderly septic patients
title_sort microarray gene expression analysis of neutrophils from elderly septic patients
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664687/
https://www.ncbi.nlm.nih.gov/pubmed/26697331
http://dx.doi.org/10.1016/j.gdata.2015.08.013
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