Synovial MS4A4A correlates with inflammation and counteracts response to corticosteroids in arthritis
RNA-seq (gene expression) · mouse · 42 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
- 42 samples: 14 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
- Synovial MS4A4A correlates with inflammation and counteracts response to corticosteroids in arthritisProceedings of the National Academy of Sciences of the United States of America · 2025
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 GSE302355_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 PRJNA1290242 and SRA study SRP600090. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 42 samples.
How we read this: 14 replicated groups read from 42 sample titles; they account for 42 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.
- GSM9102510 Untr, WT, 0_baseline, Rep1 Untr, WT, 0_baseline,
- GSM9102511 Untr, KO, 0_baseline, Rep1 Untr, KO, 0_baseline,
- GSM9102512 vehicle, WT, 2h, Rep1 vehicle, WT, 2h,
- GSM9102513 Dex, WT, 2h, Rep1 Dex, WT, 2h,
- GSM9102514 vehicle, KO, 2h, Rep1 vehicle, KO, 2h,
- GSM9102515 Dex, KO, 2h, Rep1 Dex, KO, 2h,
- GSM9102516 vehicle, WT, 8h, Rep1 vehicle, WT, 8h,
- GSM9102517 Dex, WT, 8h, Rep1 Dex, WT, 8h,
- GSM9102518 vehicle, KO, 8h, Rep1 vehicle, KO, 8h,
- GSM9102519 Dex, KO, 8h, Rep1 Dex, KO, 8h,
- GSM9102520 vehicle, WT, 24h, Rep1 vehicle, WT, 24h,
- GSM9102521 Dex, WT, 24h, Rep1 Dex, WT, 24h,
- GSM9102522 vehicle, KO, 24h, Rep1 vehicle, KO, 24h,
- GSM9102523 Dex, KO, 24h, Rep1 Dex, KO, 24h,
- GSM9102524 vehicle, WT, 2h, Rep2 vehicle, WT, 2h,
- GSM9102525 Dex, WT, 2h, Rep2 Dex, WT, 2h,
- GSM9102526 vehicle, KO, 2h, Rep2 vehicle, KO, 2h,
- GSM9102527 Dex, KO, 2h, Rep2 Dex, KO, 2h,
- GSM9102528 vehicle, WT, 8h, Rep2 vehicle, WT, 8h,
- GSM9102529 Dex, WT, 8h, Rep2 Dex, WT, 8h,
- GSM9102530 vehicle, KO, 8h, Rep2 vehicle, KO, 8h,
- GSM9102531 Dex, KO, 8h, Rep2 Dex, KO, 8h,
- GSM9102532 vehicle, WT, 24h, Rep2 vehicle, WT, 24h,
- GSM9102533 Dex, WT, 24h, Rep2 Dex, WT, 24h,
- GSM9102534 vehicle, KO, 24h, Rep2 vehicle, KO, 24h,
- GSM9102535 Dex, KO, 24h, Rep2 Dex, KO, 24h,
- GSM9102536 Untr, WT, 0_baseline, Rep2 Untr, WT, 0_baseline,
- GSM9102537 Untr, KO, 0_baseline, Rep2 Untr, KO, 0_baseline,
- GSM9102538 Untr, WT, 0_baseline, Rep3 Untr, WT, 0_baseline,
- GSM9102539 Untr, KO, 0_baseline, Rep3 Untr, KO, 0_baseline,
- GSM9102540 vehicle, WT, 2h, Rep3 vehicle, WT, 2h,
- GSM9102541 Dex, WT, 2h, Rep3 Dex, WT, 2h,
- GSM9102542 vehicle, KO, 2h, Rep3 vehicle, KO, 2h,
- GSM9102543 Dex, KO, 2h, Rep3 Dex, KO, 2h,
- GSM9102544 vehicle, WT, 8h, Rep3 vehicle, WT, 8h,
- GSM9102545 Dex, WT, 8h, Rep3 Dex, WT, 8h,
- GSM9102546 vehicle, KO, 8h, Rep3 vehicle, KO, 8h,
- GSM9102547 Dex, KO, 8h, Rep3 Dex, KO, 8h,
- GSM9102548 vehicle, WT, 24h, Rep3 vehicle, WT, 24h,
- GSM9102549 Dex, WT, 24h, Rep3 Dex, WT, 24h,
+ 2 more — browse all 42 samples with per-sample file links →
- GSE292257 Low inflammation correlates with protumor Tim4+ TREM1+ resident macrophage expansion and limited monocyte-derived macrophage formation during peritoneal colorectal cancer 7 samples shares correlates
- GSE288261 A Novel Microglia-Specific Transcriptional Signatures Correlates with Behavioural Deficits in Neuropsychiatric Lupus (NP-SLE) 28 samples shares correlates
- GSE294067 SIRT6 Overexpression Counteracts Chromatin Aging [RNA-Seq] 28 samples shares counteracts
- GSE255795 Broad spectrum efficacy of BDGR-164 against neurotropic alphaviruses and correlates of protection 28 samples shares correlates
- GSE317757 FGF21counteracts metabolic dysfunction in cancer-associated cachexia 19 samples shares counteracts
- GSE312061 Liver-specific delivery of MDM2 antisense oligonucleotides counteracts diet-induced metabolic dysfunction-associated steatotic liver diseases 18 samples shares counteracts
- GSE335522 Female-specific m6A remodeling in the liver correlates with post-transcriptional metabolic adaptation to high fat diet 16 samples shares correlates
- GSE281677 CD4 T cell therapy counteracts inflammaging and senescence by preserving gut barrier integrity 15 samples shares counteracts
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.