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Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
by
McLean, Anthony S.
, Herwanto, Velma
, Tang, Benjamin
, Wang, Ya
, Shetty, Amith
, Shojaei, Maryam
, Nalos, Marek
, Schughart, Klaus
, Lai, Kevin
in
Analysis
/ Archives & records
/ Bacterial Infections
/ Biomedical and Life Sciences
/ Biomedicine
/ Case-Control Studies
/ Data Note
/ Data Notes
/ Diagnosis
/ Disease
/ Emergency medical care
/ Gene expression
/ Gene Expression Profiling
/ Genetic aspects
/ Genomes
/ Health aspects
/ Hospitals
/ Humans
/ Immunology
/ Infections
/ Intensive care
/ Life Sciences
/ Medical research
/ Medicine
/ Medicine/Public Health
/ Metabolism
/ Pathophysiology
/ Peripheral blood
/ Quality control
/ Risk factors
/ RNA sequencing
/ Sepsis
/ Sepsis - genetics
/ Septic shock
/ Transcriptome
/ Transcriptomes
/ Uncomplicated infection
/ Whole blood transcriptome
2021
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Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
by
McLean, Anthony S.
, Herwanto, Velma
, Tang, Benjamin
, Wang, Ya
, Shetty, Amith
, Shojaei, Maryam
, Nalos, Marek
, Schughart, Klaus
, Lai, Kevin
in
Analysis
/ Archives & records
/ Bacterial Infections
/ Biomedical and Life Sciences
/ Biomedicine
/ Case-Control Studies
/ Data Note
/ Data Notes
/ Diagnosis
/ Disease
/ Emergency medical care
/ Gene expression
/ Gene Expression Profiling
/ Genetic aspects
/ Genomes
/ Health aspects
/ Hospitals
/ Humans
/ Immunology
/ Infections
/ Intensive care
/ Life Sciences
/ Medical research
/ Medicine
/ Medicine/Public Health
/ Metabolism
/ Pathophysiology
/ Peripheral blood
/ Quality control
/ Risk factors
/ RNA sequencing
/ Sepsis
/ Sepsis - genetics
/ Septic shock
/ Transcriptome
/ Transcriptomes
/ Uncomplicated infection
/ Whole blood transcriptome
2021
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Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
by
McLean, Anthony S.
, Herwanto, Velma
, Tang, Benjamin
, Wang, Ya
, Shetty, Amith
, Shojaei, Maryam
, Nalos, Marek
, Schughart, Klaus
, Lai, Kevin
in
Analysis
/ Archives & records
/ Bacterial Infections
/ Biomedical and Life Sciences
/ Biomedicine
/ Case-Control Studies
/ Data Note
/ Data Notes
/ Diagnosis
/ Disease
/ Emergency medical care
/ Gene expression
/ Gene Expression Profiling
/ Genetic aspects
/ Genomes
/ Health aspects
/ Hospitals
/ Humans
/ Immunology
/ Infections
/ Intensive care
/ Life Sciences
/ Medical research
/ Medicine
/ Medicine/Public Health
/ Metabolism
/ Pathophysiology
/ Peripheral blood
/ Quality control
/ Risk factors
/ RNA sequencing
/ Sepsis
/ Sepsis - genetics
/ Septic shock
/ Transcriptome
/ Transcriptomes
/ Uncomplicated infection
/ Whole blood transcriptome
2021
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Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
Journal Article
Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
2021
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Overview
Objectives
Hospitalized patients who presented within the last 24 h with a bacterial infection were recruited. Participants were assigned into sepsis and uncomplicated infection groups. In addition, healthy volunteers were recruited as controls. RNA was prepared from whole blood, depleted from beta-globin mRNA and sequenced. This dataset represents a highly valuable resource to better understand the biology of sepsis and to identify biomarkers for severe sepsis in humans.
Data description
The data presented here consists of raw and processed transcriptome data obtained by next generation RNA sequencing from 105 peripheral blood samples from patients with uncomplicated infections, patients who developed sepsis, septic shock patients, and healthy controls. It is provided as raw sequenced reads and as normalized log
2
transformed relative expression levels. This data will allow performing detailed analyses of gene expression changes between uncomplicated infections and sepsis patients, such as identification of differentially expressed genes, co-regulated modules as well as pathway activation studies.
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