Signatures of IL1b, IL6 and TNFa in immune cell-types
RNA-seq (gene expression) · mouse · 209 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
- 209 samples: 67 conditions, mostly in triplicateGroups 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
- Early transcriptional effects of inflammatory cytokines reveal highly redundant cytokine networksThe Journal of experimental medicine · 2025
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 GSE239946_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 PRJNA1001800 and SRA study SRP453107. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 209 samples.
How we read this: 67 replicated groups read from 209 sample titles; they account for 209 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.
- GSM7677930 MFpc.PBS.PC_1 MFpc.PBS.PC
- GSM7677931 MFpc.PBS.PC_2 MFpc.PBS.PC
- GSM7677932 MFpc.PBS.PC_3 MFpc.PBS.PC
- GSM7677933 MFpc.PBS.PC_4 MFpc.PBS.PC
- GSM7677934 MFpc.PBS.PC_5 MFpc.PBS.PC
- GSM7677935 MFpc.IL1b.PC_1 MFpc.IL1b.PC
- GSM7677936 MFpc.IL1b.PC_2 MFpc.IL1b.PC
- GSM7677937 MFpc.IL1b.PC_3 MFpc.IL1b.PC
- GSM7677938 MFpc.IL6.PC_1 MFpc.IL6.PC
- GSM7677939 MFpc.IL6.PC_2 MFpc.IL6.PC
- GSM7677940 MFpc.IL6.PC_3 MFpc.IL6.PC
- GSM7677941 MFpc.TNFa.PC_1 MFpc.TNFa.PC
- GSM7677942 MFpc.TNFa.PC_2 MFpc.TNFa.PC
- GSM7677943 MFpc.TNFa.PC_3 MFpc.TNFa.PC
- GSM7677944 MC.PBS.PC_2 MC.PBS.PC
- GSM7677945 MC.PBS.PC_3 MC.PBS.PC
- GSM7677946 MC.PBS.PC_4 MC.PBS.PC
- GSM7677947 MC.PBS.PC_5 MC.PBS.PC
- GSM7677948 MC.IL1b.PC_1 MC.IL1b.PC
- GSM7677949 MC.IL1b.PC_3 MC.IL1b.PC
- GSM7677950 MC.IL6.PC_1 MC.IL6.PC
- GSM7677951 MC.IL6.PC_3 MC.IL6.PC
- GSM7677952 MC.TNFa.PC_1 MC.TNFa.PC
- GSM7677953 MC.TNFa.PC_2 MC.TNFa.PC
- GSM7677954 MC.TNFa.PC_3 MC.TNFa.PC
- GSM7677955 DC.8+.PBS.Sp_1 DC.8+.PBS.Sp
- GSM7677956 DC.8+.PBS.Sp_2 DC.8+.PBS.Sp
- GSM7677957 DC.8+.PBS.Sp_4 DC.8+.PBS.Sp
- GSM7677958 DC.8+.PBS.Sp_5 DC.8+.PBS.Sp
- GSM7677959 DC.8+.IL1b.Sp_2 DC.8+.IL1b.Sp
- GSM7677960 DC.8+.IL1b.Sp_3 DC.8+.IL1b.Sp
- GSM7677961 DC.8+.IL6.Sp_1 DC.8+.IL6.Sp
- GSM7677962 DC.8+.IL6.Sp_2 DC.8+.IL6.Sp
- GSM7677963 DC.8+.IL6.Sp_3 DC.8+.IL6.Sp
- GSM7677964 DC.8+.TNFa.Sp_1 DC.8+.TNFa.Sp
- GSM7677965 DC.8+.TNFa.Sp_2 DC.8+.TNFa.Sp
- GSM7677966 DC.8+.TNFa.Sp_3 DC.8+.TNFa.Sp
- GSM7677967 NK.PBS.Sp_1 NK.PBS.Sp
- GSM7677968 NK.PBS.Sp_2 NK.PBS.Sp
- GSM7677969 NK.PBS.Sp_3 NK.PBS.Sp
+ 169 more — browse all 209 samples with per-sample file links →
- GSE75109 Single-cell transcriptional profiling of Th17 cells, differentiated in vitro for 48h [IL1B_IL6_IL23-48h-IL-17A/GFP+] 139 samples shares il1b, il6
- GSE277063 Cell-autonomous IL6ST activation suppresses prostate cancer development via STAT3/ARF/p53-driven senescence and confers an immune-active tumor microenvironment 23 samples shares il6
- GSE75111 Single-cell transcriptional profiling of Th17 cells, differentiated in vitro for 48h [TGFB1_IL6-48h-IL-17A/GFP+] 151 samples shares il6
- GSE298720 Global gene expression profiles were compared among IL1B-treated, Ad-OSCAR-treated, and control mice, with or without subsequent treatment with OSCAR inhibitors (Brivudine or Adefovir). 35 samples shares il1b
- GSE278577 β2 ADRENERGIC SIGNALING STIMULATES EARLY IL-1β SECRETION IN MACROPHAGES BY INDUCING MAPK-DEPENDENT Il1b TRANSCRIPTION [RNA-Seq] 30 samples shares il1b
- GSE263042 scRNA-seq assessment of the impact of anti-IL6R and anti-OSM in a model of fibrotic lung disease during resolution (day 24) [NGS4659] 30 samples shares il6
- GSE263041 scRNA-seq assessment of the impact of anti-IL6R and anti-OSM in a model of fibrotic lung disease during fibrosis (day 14) [NGS4272] 30 samples shares il6
- GSE262966 Determining the impact of anti-IL6 and anti-OSM on macrophage and fibroblast biology in a model of fibrotic lung disease [NGS3341] 25 samples shares il6
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.