Targeting Modulated Vascular Smooth Muscle Cells in Atherosclerosis via FAP-Directed Immunotherapy [Human_CITEseq]
Single-cell RNA-seq · human · 58 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 58 samples: 58 samples, each with a distinct title — no replicated groupsGroups 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
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 GSE314596_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1392187 and SRA study SRP657180. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 58 sample titles: 58 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.
- 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
- GSM9405322 CITE-seq, sample22, GEX
- GSM9405323 CITE-seq, sample23, GEX
- GSM9405324 CITE-seq, sample24, GEX
- GSM9405325 CITE-seq, sample25, GEX
+ 18 more — browse all 58 samples with per-sample file links →
- GSE260657 A smooth muscle cell gene-regulatory network critical for the development of advanced-stage and symptomatic atherosclerosis [human] 15 samples shares atherosclerosis, smooth
- GSE222557 Neoadjuvant PARPi or Chemotherapy in Ovarian Cancer Informs Targeting Effector Treg Cells for Homologous-Recombination-Deficient Tumors 148 samples shares targeting
- GSE217494 Targeting Immune-Fibroblast Crosstalk in Myocardial Infarction and Cardiac Fibrosis I 44 samples shares targeting
- GSE139555 Peripheral clonal expansion of T lymphocytes associates with tumour infiltration and response to cancer immunotherapy 32 samples shares immunotherapy
- GSE226620 CD161 expression of TRM cells counteracts the HPV-associated clinical benefit in oropharyngeal cancer immunotherapy 30 samples shares immunotherapy
- GSE333617 Targeting JAK1/3-STAT1 signaling attenuates cytotoxic T lymphocytes activation for the treatment in Stevens-Johnson syndrome and toxic epidermal necrolysis 26 samples shares targeting
- GSE253904 High-Dimensional Single-Cell Multimodal Landscape of Human Carotid Atherosclerosis 24 samples shares atherosclerosis
- GSE280063 Clinical and Immunological Outcomes after Randomized Trial of Baked Milk Oral Immunotherapy for Milk Allergy 24 samples shares immunotherapy
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.