Purinergic Preconditioning Induces Epigenomic and Transcriptomic Changes Resembling Epilepsy-associated Microglial States
RNA-seq (gene expression) · human · 20 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 20 samples
- 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
- Purinergic exposure induces epigenomic and transcriptomic-mediated preconditioning resembling epilepsy-associated microglial statesiScience · 2024
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE272030_RAW.tar (it can run to tens of gigabytes).
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.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1134737 and SRA study SRP519403. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 20 more — browse all 20 samples with per-sample file links →
- GSE276133 Integrative epigenomic profiling of hepatocellular carcinoma uncovers aberrant cis-regulatory changes and potential prognostic indicators [RNA-seq] 10 samples shares epigenomic, changes
- GSE298362 Oxidised LDL induces pro-inflammatory transcriptomic and epigenomic responses in human CD4+ T cells 15 samples shares epigenomic, induces
- GSE276132 Integrative epigenomic profiling of hepatocellular carcinoma uncovers aberrant cis-regulatory changes and potential prognostic indicators [ChIP-seq] 6 samples shares epigenomic, changes
- GSE299820 Innate immune epigenomic landscape following controlled human influenza virus infection 755 samples shares epigenomic
- GSE281562 Unique epigenomic signatures identify biologically significant subtypes of MDS and predict response to azacytidine [RNA-Seq] 83 samples shares epigenomic
- GSE313740 Transcriptomic and Epigenomic profiles analysis during human adaptation to simulated High-Altitude Hypoxia 32 samples shares epigenomic
- GSE337799 Resilience to bioprinting-induced cellular stress by heat shock preconditioning 24 samples shares preconditioning
- GSE289159 Transcriptomic and epigenomic analysis of neuronal differentiation models of Kabuki Syndrome Type 1 [RNA-Seq] 23 samples shares epigenomic
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.