RNA-seq revealed the anti-pyroptotic effect of suramin by suppressing NLRP3/caspase-1/GSDMD pathway in LPS-induced MH-S alveolar macrophages
RNA-seq (gene expression) · mouse · 9 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
- 9 samples: 3 × CON vs 3 × LPS vs 3 × SUGroups 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 GSE235016_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 PRJNA984180 and SRA study SRP443952. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.
- GSM7493164 CON 1 CON
- GSM7493165 CON 2 CON
- GSM7493166 CON 3 CON
- GSM7493167 LPS 1 LPS
- GSM7493168 LPS 2 LPS
- GSM7493169 LPS 3 LPS
- GSM7493170 SUR 1 SU
- GSM7493171 SUR 2 SU
- GSM7493172 SUR 3 SU
- GSE334138 Cardiotoxin from Naja atra Activates the NLRP3/Caspase-1/GSDMD Pyroptosis Pathway to Induce Skin Tissue Injury 16 samples shares caspase-1, nlrp3, gsdmd
- GSE331449 Tumor NLRP3 Amplification Promotes Immunotherapy Resistance by Inhibiting STAT1 Signaling and Suppressing MHC Class I Expression 17 samples shares nlrp3, suppressing
- GSE286554 Bulk RNA-seq of wild-type and Nlrp3-/- bone marrow-derived macrophages with or without LPS and ATP costimulation 12 samples shares nlrp3, macrophages
- GSE284265 IL-1β sensitizes to atrial fibrillation acting through resident macrophages and caspase-1 expression 4 samples shares caspase-1, macrophages
- GSE269886 Transcriptomic analysis of microglia from young and aged wild-type, NLRP3-/-, APP/PS1 and APP/PS1.NLRP3-/- mice. 62 samples shares nlrp3
- GSE297859 Caspases 3 and 7 restrict intestinal inflammation by regulating stem cell function and gsdmd-mediated pyroptosis 42 samples shares gsdmd
- GSE299620 cFLIP suppresses Caspase-1- and MLKL-independent perinatal lethality driven by autoprocessing impaired caspase-8 D387A 36 samples shares caspase-1
- GSE303458 Downregulation of NF-κB and NLRP3 in aging wildtype and amyloid β transgenic mice 36 samples shares nlrp3
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.