Targeting Modulated Vascular Smooth Muscle Cells in Atherosclerosis via FAP-Directed Immunotherapy
RNA-seq (gene expression) · mouse · 102 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
- 102 samples: 94 distinct titles, 2 of them repeatedGroups 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
- Targeting modulated vascular smooth muscle cells in atherosclerosis via FAP-directed immunotherapyScience (New York, N.Y.) · 2026
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 GSE314854_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 PRJNA1392942 and SRA study SRP657098. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 102 sample titles: 94 distinct titles with little repetition. 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.
- GSM9405282 Foam Cell 1
- GSM9405283 Foam Cell 2
- GSM9405284 Foam Cell 3
- GSM9405285 Foam Cell 4
- GSM9405286 CITE-seq, sample11, ADT
- GSM9405287 CITE-seq, sample14, ADT
- GSM9405288 CITE-seq, sample16, ADT
- GSM9405289 CITE-seq, sample18, ADT
- GSM9405290 CITE-seq, sample19, ADT
- GSM9405291 CITE-seq, sample20, ADT
- GSM9405292 CITE-seq, sample21, ADT
- GSM9405293 CITE-seq, sample22, ADT
- GSM9405294 CITE-seq, sample23, ADT
- GSM9405295 CITE-seq, sample24, ADT
- GSM9405296 CITE-seq, sample25, ADT
- GSM9405297 CITE-seq, sample26, ADT
- GSM9405298 CITE-seq, sample31, ADT
- GSM9405299 CITE-seq, sample35, ADT
- GSM9405300 CITE-seq, sample36, ADT
- GSM9405301 CITE-seq, sample37, ADT
- GSM9405302 CITE-seq, sample38, ADT
- GSM9405303 CITE-seq, sample40, ADT
- GSM9405304 CITE-seq, sample43, ADT
- GSM9405305 CITE-seq, sample44, ADT
- GSM9405306 CITE-seq, sample45, ADT
- GSM9405307 CITE-seq, sample46, ADT
- GSM9405308 CITE-seq, sample47, ADT
- GSM9405309 CITE-seq, sample48, ADT
- GSM9405310 CITE-seq, sample49, ADT
- GSM9405311 CITE-seq, sample50, ADT
- GSM9405312 CITE-seq, sample51, ADT
- GSM9405313 CITE-seq, WashU1, ADT
- GSM9405314 CITE-seq, WashU2, ADT
- GSM9405315 CITE-seq, sample11, GEX
- GSM9405316 CITE-seq, sample14, GEX
- GSM9405317 CITE-seq, sample16, GEX
- GSM9405318 CITE-seq, sample18, GEX
- GSM9405319 CITE-seq, sample19, GEX
- GSM9405320 CITE-seq, sample20, GEX
- GSM9405321 CITE-seq, sample21, GEX
+ 62 more — browse all 102 samples with per-sample file links →
- GSE316054 Targeting the ADAR1 p150 isoform triggers tumor growth inhibition and antitumor immunity to overcome immunotherapy resistance 52 samples shares immunotherapy, targeting
- GSE266386 Suppressing Aberrant Hedgehog Pathway and Overcoming Resistance to Smoothened Antagonists via Targeting Super-enhancer-driven Transcriptional Dependencies [ChIP-seq] 14 samples shares targeting, smooth
- GSE303870 A tumor-associated macrophage-targeted immunocytokine leveraging T and NK cell synergy for potent cancer immunotherapy 223 samples shares immunotherapy
- GSE267740 Targeting T cell plasticity by pooled single cell CRISPR-screening in preclinical models of kidney and gut inflammation 56 samples shares targeting
- GSE297064 Targeting circulating mechanoresponsive monocytes and macrophages to reduce fibrosis 12 samples shares targeting
- GSE281472 Targeting CD206+ macrophages disrupts the establishment of a key anti-tumor immune axis 245 samples shares targeting
- GSE255372 Targeting CDK7 function in the RNA Polymerase II transcription cycle in inflammatory arthritis [ChIP-seq] 69 samples shares targeting
- GSE277861 Enalapril mitigates senescence and aging-related phenotypes by targeting antioxidative genes via phosphorylated Smad1/5/9 [RNA-seq] 68 samples shares targeting
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.