Pharmacological elevation of lactate alleviates sepsis via histone lactylation-induced IL-10 production
RNA-seq (gene expression) · mouse · 10 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
- 10 samples: 5 × NC vs 5 × AXGroups 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.
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 GSE318448_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 PRJNA1418745 and SRA study SRP674648. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM9495065 NC-1 NC
- GSM9495066 NC-2 NC
- GSM9495067 NC-3 NC
- GSM9495068 NC-4 NC
- GSM9495069 NC-5 NC
- GSM9495070 AX-6 AX
- GSM9495071 AX-7 AX
- GSM9495072 AX-8 AX
- GSM9495073 AX-9 AX
- GSM9495074 AX-10 AX
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- GSE276761 IL-10-dependent Treg-microglia crosstalk induced by nasal anti-CD3 mAb ameliorates traumatic brain injury by modulating microglial phagocytosis and neuroinflammation. 136 samples shares il-10
- GSE284691 Lung tissue-resident memory T cells optimize protection by IL-10 regulation of innate immunity 43 samples shares il-10
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- GSE240912 Maternal IL-10 restricts fetal emergency myelopoiesis [Bulk RNA-seq] 36 samples shares il-10
- GSE265840 BHLHE40 regulates myeloid cell polarization through IL-10-dependent and independent mechanisms 27 samples shares il-10
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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.