Gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumonia
Mechanisms governing the inflammatory response during sepsis involve crosstalk between diverse signaling pathways, but current knowledge provides an incomplete picture of the syndrome. Microarray-based expression profiling is a powerful approach for the investigation of complex clinical conditions s...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2014-12-01
|
Series: | Genomics Data |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2213596014000919 |
id |
doaj-ce08b3d42345419d934d4508e49b9c9d |
---|---|
record_format |
Article |
spelling |
doaj-ce08b3d42345419d934d4508e49b9c9d2020-11-25T02:57:32ZengElsevierGenomics Data2213-59602014-12-012C33233410.1016/j.gdata.2014.10.004Gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumoniaPatricia Severino0Eliezer Silva1Giovana Lotici Baggio-Zappia2Milena Karina Colo Brunialti3Laura Alejandra Nucci4Otelo Rigato Junior5Ismael Dale Cotrim Guerreiro da Silva6Flavia Ribeiro Machado7Reinaldo Salomao8Center for Experimental Research, Instituto Israelita de Ensino e Pesquisa, Hospital Israelita Albert Einstein, Sao Paulo, BrazilIntensive Care Unit, Hospital Israelita Albert Einstein, Sao Paulo, BrazilDivision of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, BrazilDivision of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, BrazilDivision of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, BrazilIntensive Care Unit, Hospital Sirio Libanes, Sao Paulo, BrazilDepartment of Gynecology, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, BrazilIntensive Care Unit, Hospital Sao Paulo, Universidade Federal de Sao Paulo, Sao Paulo, BrazilDivision of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, BrazilMechanisms governing the inflammatory response during sepsis involve crosstalk between diverse signaling pathways, but current knowledge provides an incomplete picture of the syndrome. Microarray-based expression profiling is a powerful approach for the investigation of complex clinical conditions such as sepsis. In this study, we investigated whole-genome expression profiles in mononuclear cells from septic patients admitted in intensive care units with community-acquired pneumonia. Blood samples were collected at the time of sepsis diagnosis and seven days later since we aimed to evaluate the role of biological processes or genes possibly involved in patient recovery. Here we provide a detailed description of the study design, including clinical information, experimental methods and procedures regarding data analysis. Metadata corresponding to microarray results deposited in the database Gene Expression Omnibus (GEO) under the accession number GSE48080 are also described in this report. Our dataset allows the identification of genes possibly associated with host defense to infection as well as gene expression patterns associated with patient outcome.http://www.sciencedirect.com/science/article/pii/S2213596014000919SepsisGene expression profilingDNA microarrayPatient outcome |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Patricia Severino Eliezer Silva Giovana Lotici Baggio-Zappia Milena Karina Colo Brunialti Laura Alejandra Nucci Otelo Rigato Junior Ismael Dale Cotrim Guerreiro da Silva Flavia Ribeiro Machado Reinaldo Salomao |
spellingShingle |
Patricia Severino Eliezer Silva Giovana Lotici Baggio-Zappia Milena Karina Colo Brunialti Laura Alejandra Nucci Otelo Rigato Junior Ismael Dale Cotrim Guerreiro da Silva Flavia Ribeiro Machado Reinaldo Salomao Gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumonia Genomics Data Sepsis Gene expression profiling DNA microarray Patient outcome |
author_facet |
Patricia Severino Eliezer Silva Giovana Lotici Baggio-Zappia Milena Karina Colo Brunialti Laura Alejandra Nucci Otelo Rigato Junior Ismael Dale Cotrim Guerreiro da Silva Flavia Ribeiro Machado Reinaldo Salomao |
author_sort |
Patricia Severino |
title |
Gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumonia |
title_short |
Gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumonia |
title_full |
Gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumonia |
title_fullStr |
Gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumonia |
title_full_unstemmed |
Gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumonia |
title_sort |
gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumonia |
publisher |
Elsevier |
series |
Genomics Data |
issn |
2213-5960 |
publishDate |
2014-12-01 |
description |
Mechanisms governing the inflammatory response during sepsis involve crosstalk between diverse signaling pathways, but current knowledge provides an incomplete picture of the syndrome. Microarray-based expression profiling is a powerful approach for the investigation of complex clinical conditions such as sepsis. In this study, we investigated whole-genome expression profiles in mononuclear cells from septic patients admitted in intensive care units with community-acquired pneumonia. Blood samples were collected at the time of sepsis diagnosis and seven days later since we aimed to evaluate the role of biological processes or genes possibly involved in patient recovery. Here we provide a detailed description of the study design, including clinical information, experimental methods and procedures regarding data analysis. Metadata corresponding to microarray results deposited in the database Gene Expression Omnibus (GEO) under the accession number GSE48080 are also described in this report. Our dataset allows the identification of genes possibly associated with host defense to infection as well as gene expression patterns associated with patient outcome. |
topic |
Sepsis Gene expression profiling DNA microarray Patient outcome |
url |
http://www.sciencedirect.com/science/article/pii/S2213596014000919 |
work_keys_str_mv |
AT patriciaseverino geneexpressionprofilingofmononuclearcellsfrompatientswithsepsissecondarytocommunityacquiredpneumonia AT eliezersilva geneexpressionprofilingofmononuclearcellsfrompatientswithsepsissecondarytocommunityacquiredpneumonia AT giovanaloticibaggiozappia geneexpressionprofilingofmononuclearcellsfrompatientswithsepsissecondarytocommunityacquiredpneumonia AT milenakarinacolobrunialti geneexpressionprofilingofmononuclearcellsfrompatientswithsepsissecondarytocommunityacquiredpneumonia AT lauraalejandranucci geneexpressionprofilingofmononuclearcellsfrompatientswithsepsissecondarytocommunityacquiredpneumonia AT otelorigatojunior geneexpressionprofilingofmononuclearcellsfrompatientswithsepsissecondarytocommunityacquiredpneumonia AT ismaeldalecotrimguerreirodasilva geneexpressionprofilingofmononuclearcellsfrompatientswithsepsissecondarytocommunityacquiredpneumonia AT flaviaribeiromachado geneexpressionprofilingofmononuclearcellsfrompatientswithsepsissecondarytocommunityacquiredpneumonia AT reinaldosalomao geneexpressionprofilingofmononuclearcellsfrompatientswithsepsissecondarytocommunityacquiredpneumonia |
_version_ |
1724710660350148608 |