RNA Profiles in Extracellular Vesicles from Sepsis and Meningitis Patients

Berit Sletbakk Brusletto's dataset contains transcriptomic profiles of plasma extracellular vesicles from patients with severe sepsis or meningitis caused by Neisseria meningitidis or Streptococcus pneumoniae, compared to healthy controls. The dataset likely contains RNA expression data for 14,909 EV-RNAs identified via microarray analysis. It was uploaded to figshare on April 24, 2026.

Use Cases

• Identify pathogen-specific immune signatures based on EV-RNA profiles mentioned in the description.
• Compare transcriptomic dysregulation between meningococcal septic shock and pneumococcal infection based on pathway analysis results.
• Validate circulating EV-RNA as a non-invasive biomarker for systemic host responses based on the study's conclusions.
• Predict effects on biofunctions and canonical pathways based on Ingenuity Pathway Analysis results.
• Correlate plasma EV-RNA profiles with organ tissue transcriptomic patterns based on the comparison with post-mortem data.

Strengths

• Transcriptomic profiling detected 14,909 EV-RNAs.
• Data compares distinct molecular signatures across four disease groups: meningococcal septic shock, meningococcal meningitis, pneumococcal infection, and healthy controls.
• Pathway analysis demonstrated strong activation of inflammatory and immune signaling in meningococcal septic shock.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal/source bias inherent to the specific patient cohort studied.

Provenance

Source

Berit Sletbakk Brusletto

Collection Method

EVs were isolated by size exclusion chromatography, and EV derived RNA isolated by ExoRNeasy for examination by microarray.

Freshness

Last updated 2026-04-24 05:39:40; freshness should be verified.