RNA sequencing analyses reveal the potential anti-inflammatory mechanisms of acacetin against ODG/R injuries in microglia
RNA-seq (gene expression) · mouse · 12 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
- Mus musculus (mouse)
- Samples
- 12 samples: 4 × Control vs 4 × OGD vs 4 × AcacetinGroups 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
- RNA Sequencing Analyses Reveal the Potential Anti-Inflammatory Mechanisms of Acacetin Against ODG/R Injuries in MicrogliaJournal of inflammation research · 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 GSE249957_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 PRJNA1051494 and SRA study SRP477500. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 3 replicated groups read from 12 sample titles; they account for 12 of them. 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.
- GSM7968134 Control 1 Control
- GSM7968135 Control 2 Control
- GSM7968136 Control 3 Control
- GSM7968137 Control 4 Control
- GSM7968138 OGD 1 OGD
- GSM7968139 OGD 2 OGD
- GSM7968140 OGD 3 OGD
- GSM7968141 OGD 4 OGD
- GSM7968142 Acacetin 1 Acacetin
- GSM7968143 Acacetin 2 Acacetin
- GSM7968144 Acacetin 3 Acacetin
- GSM7968145 Acacetin 4 Acacetin
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- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares microglia
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- GSE98969 Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [RNA] 97 samples shares microglia
- GSE327428 GPR34 regulation of disease-associated microglial states in mice 96 samples shares microglia
- GSE283401 Gene expression profile of Fcrls+/CD11b+/Ly6C- microglia from young and old mice after abdominal surgery 96 samples shares microglia
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.