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Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis.


ABSTRACT:

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 log2 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.

SUBMITTER: Herwanto V 

PROVIDER: S-EPMC7913415 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis.

Herwanto Velma V   Tang Benjamin B   Wang Ya Y   Shojaei Maryam M   Nalos Marek M   Shetty Amith A   Lai Kevin K   McLean Anthony S AS   Schughart Klaus K  

BMC research notes 20210227 1


<h4>Objectives</h4>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.<h4>Data descrip  ...[more]

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