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Updated: Feb 16, 2026
Sequencing of mRNA from Whole Blood using Nanopore Sequencing
Published on: June 3, 2019
A dataset of paired blood mRNA and microRNA sequencing across acute septic shock and recovery
Krisztina Molnár1, Katalin Maricza1, Zsuzsanna Elek1
1Institute of Biochemistry and Molecular Biology, Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
Abstract:
An adequate immune response is responsible for eradicating pathogens and reestablishing tissue homeostasis upon infection. However, in certain patients, immune processes become dysregulated, leading to sepsis which often results in life-threatening organ dysfunction, and the progression to septic shock is associated with mortality rates of up to 70-80%. The objective of the present data set is to facilitate the identification of transcriptomic signatures characteristic of septic shock and the stable, out of critical condition. A total of six patients were included in the study, with blood samples collected at two different stages - septic shock, at the time of discharge from the intensive care unit - of the disease. Following total RNA isolation, mRNA and microRNA levels were determined by NGS. The dataset's significance is based on the fact that two samples of the same patient were analyzed, ensuring that any observed alteration in transcript levels is related to the change in medical condition, and the analysis included both mRNAs and microRNAs enabling a comprehensive gene expression and regulatory study.
Insights
This study identifies gene expression patterns in septic shock patients. Analyzing both mRNA and microRNA helps understand the immune response during critical illness and recovery.
Area of Science:
- Immunology
- Genomics
- Critical Care Medicine
Background:
- Sepsis and septic shock cause life-threatening organ dysfunction with high mortality rates.
- Dysregulated immune responses are central to sepsis pathogenesis.
- Identifying molecular signatures can improve diagnosis and treatment.
Purpose of the Study:
- To identify transcriptomic signatures differentiating septic shock from stable conditions.
- To provide a comprehensive gene expression dataset for sepsis research.
Main Methods:
- Next-generation sequencing (NGS) was used to analyze mRNA and microRNA levels.
- Blood samples were collected from six patients at two distinct stages: septic shock and recovery.
- Paired analysis within patients controlled for individual variability.
Main Results:
- The dataset enables the study of transcriptomic alterations associated with septic shock.
- Analysis of both mRNA and microRNA provides insights into gene expression and regulation.
- This dataset facilitates the discovery of biomarkers for sepsis severity.
Conclusions:
- This dataset offers a valuable resource for understanding sepsis pathophysiology.
- It supports research into transcriptomic signatures for improved sepsis management.
- Further analysis can reveal novel diagnostic and therapeutic targets.
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