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Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis

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...

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Autores principales: Herwanto, Velma, Tang, Benjamin, Wang, Ya, Shojaei, Maryam, Nalos, Marek, Shetty, Amith, Lai, Kevin, McLean, Anthony S., Schughart, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913415/
https://www.ncbi.nlm.nih.gov/pubmed/33640018
http://dx.doi.org/10.1186/s13104-021-05488-w
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author Herwanto, Velma
Tang, Benjamin
Wang, Ya
Shojaei, Maryam
Nalos, Marek
Shetty, Amith
Lai, Kevin
McLean, Anthony S.
Schughart, Klaus
author_facet Herwanto, Velma
Tang, Benjamin
Wang, Ya
Shojaei, Maryam
Nalos, Marek
Shetty, Amith
Lai, Kevin
McLean, Anthony S.
Schughart, Klaus
author_sort Herwanto, Velma
collection PubMed
description 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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spelling pubmed-79134152021-03-02 Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis Herwanto, Velma Tang, Benjamin Wang, Ya Shojaei, Maryam Nalos, Marek Shetty, Amith Lai, Kevin McLean, Anthony S. Schughart, Klaus BMC Res Notes Data Note 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. BioMed Central 2021-02-27 /pmc/articles/PMC7913415/ /pubmed/33640018 http://dx.doi.org/10.1186/s13104-021-05488-w Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Data Note
Herwanto, Velma
Tang, Benjamin
Wang, Ya
Shojaei, Maryam
Nalos, Marek
Shetty, Amith
Lai, Kevin
McLean, Anthony S.
Schughart, Klaus
Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
title Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
title_full Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
title_fullStr Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
title_full_unstemmed Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
title_short Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
title_sort blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913415/
https://www.ncbi.nlm.nih.gov/pubmed/33640018
http://dx.doi.org/10.1186/s13104-021-05488-w
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