GEO series
Investigation of transcriptomic signatures associated with sepsis risk in patients with infection
GSE296830
Homo sapiens (human)
Non-coding RNA profiling
32 samples
Submitted 2026/01/07
Platform GPL18573Platform GPL21697
At a glance
Non-coding RNA profiling · human · 32 samples
- What it is
- Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
- Organism
- Homo sapiens (human)
- Samples
- 32 samples: 32 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- A dataset of paired blood mRNA and microRNA sequencing across acute septic shock and recoveryScientific data · 2026
Summary (written by the submitters)
Sufficient immune response is responsible for eradicating pathogens and reestablishing tissue homeostasis. However, in certain patients, immune processes become dysregulated, leading to systemic inflammatory response syndrome (SIRS), which often results in life-threatening organ dysfunction. The phenomenon of outgrowing septic shock is associated with a mortality rate of up to 70–80%.
Read the full summary ↓
The objective of the present data set is to facilitate the identification of transcriptomic signatures associated with the development of sepsis in patients with infection. A total of six patients were included in the study, with blood samples collected at various stages of the disease, ranging from severe septic conditions to periods of temporary improvement and recovery. Following RNA isolation, the mRNA and microRNA levels were determined by NGS. The dataset’s significance stems from the fact that more samples of the same patient were analyzed, ensuring that any observed alteration in the transcription levels is related to the change in medical condition.
Published in
Molnár K, Maricza K, Elek Z et al.
· Scientific data 2026
· PMID 41690949
· doi:10.1038/s41597-026-06844-w
This dataset
Download · which file do I need?
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
1 · Just have a look
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
2 · Re-analyse it
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE296830_RAW.tar (it can run to tens of gigabytes).
3 · Start from the raw reads
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
Also filed as BioProject PRJNA1261788 and SRA study SRP584707. Searching any of these in the dataset finder brings you back here.
Study design
32 samples, each with a distinct title — no replicated groups
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 32 sample titles: 32 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
Samples in this study
- GSM8978191 Patient B6, severe sepsis originating from respiratory infection, mRNA
- GSM8978192 Patient B6, severe sepsis originating from respiratory infection, miRNA
- GSM8978193 Patient B6, recovered health status after respiratory infection, mRNA
- GSM8978194 Patient B6, recovered health status after respiratory infection, miRNA
- GSM8978195 Patient B2, severe sepsis originating from urogenital infection, mRNA
- GSM8978196 Patient B2, severe sepsis originating from urogenital infection, miRNA
- GSM8978197 Patient B2, improving health status after sepsis originating from urogenital infection, mRNA
- GSM8978198 Patient B2, improving health status after sepsis originating from urogenital infection, miRNA
- GSM8978199 Patient B2, recovered health status after urogenital infection, mRNA
- GSM8978200 Patient B2, recovered health status after urogenital infection, miRNA
- GSM8978201 Patient B3, severe sepsis originating from respiratory infection, mRNA
- GSM8978202 Patient B3, severe sepsis originating from respiratory infection, miRNA
- GSM8978203 Patient B3, improving health status after sepsis originating from respiratory infection, mRNA
- GSM8978204 Patient B3, improving health status after sepsis originating from respiratory infection, miRNA
- GSM8978205 Patient B3, recovered health status after respiratory infection, mRNA
- GSM8978206 Patient B3, recovered health status after respiratory infection, miRNA
- GSM8978207 Patient B4, severe sepsis originating from urogenital infection, mRNA
- GSM8978208 Patient B4, severe sepsis originating from urogenital infection, miRNA
- GSM8978209 Patient B4, improving health status after sepsis originating from urogenital infection, mRNA
- GSM8978210 Patient B4, improving health status after sepsis originating from urogenital infection, miRNA
- GSM8978211 Patient B4, recovered health status after urogenital infection, mRNA
- GSM8978212 Patient B4, recovered health status after urogenital infection, miRNA
- GSM8978213 Patient B5, severe sepsis originating from urogenital infection, mRNA
- GSM8978214 Patient B5, severe sepsis originating from urogenital infection, miRNA
- GSM8978215 Patient B5, recovered health status after urogenital infection, mRNA
- GSM8978216 Patient B5, recovered health status after urogenital infection, miRNA
- GSM8978217 Patient B1, severe sepsis originating from respiratory infection, mRNA
- GSM8978218 Patient B1, severe sepsis originating from respiratory infection, miRNA
- GSM8978219 Patient B1, improving health status after sepsis originating from respiratory infection, mRNA
- GSM8978220 Patient B1, improving health status after sepsis originating from respiratory infection, miRNA
- GSM8978221 Patient B1, recovered health status after respiratory infection, mRNA
- GSM8978222 Patient B1, recovered health status after respiratory infection, miRNA
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- GSE216009 Immature neutrophil subsets and emergency granulopoiesis drive sepsis immune suppression and a specific extreme response to infection [WB_ECG] 96 samples shares sepsis
- GSE341493 Whole-Transcriptome Profiling Reveals RNA Expression Dynamics and ceRNA Network Remodeling across Health, Sepsis, and Sepsis-Associated Acute Respiratory Distress Syndrome [RNA-Seq] 12 samples shares sepsis
- GSE262419 Informing Hazard Identification and Risk Characterization of Environmental Chemicals by Combining Transcriptomic and Functional Data from Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes 4558 samples shares risk
- GSE286042 Transcriptomic and Proteomic Signatures Following AS03-adjuvanted Influenza A/H7N9 Vaccine 1232 samples shares signatures
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.