Single-Cell Transcriptomics of Multi-Site Cell Therapy in Osteoarthritis: Tissue-Specific Traits and Treatment Correlations [Full Trial]
Single-cell RNA-seq · human · 267 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 267 samples: 134 × BMAC scRNA OA vs 133 × SVF scRNA OAGroups 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
- Single-cell transcriptomics of multi-site cell therapy in osteoarthritis: Tissue-specific treatment correlationsMolecular therapy. Nucleic acids · 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 GSE292453_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 PRJNA1193514 and SRA study SRP549032. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 267 samples.
How we read this: 2 replicated groups read from 267 sample titles; they account for 267 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.
- GSM8859207 BMAC scRNA OA - 1 BMAC scRNA OA
- GSM8859208 BMAC scRNA OA - 2 BMAC scRNA OA
- GSM8859209 BMAC scRNA OA - 3 BMAC scRNA OA
- GSM8859210 BMAC scRNA OA - 4 BMAC scRNA OA
- GSM8859211 BMAC scRNA OA - 5 BMAC scRNA OA
- GSM8859212 BMAC scRNA OA - 6 BMAC scRNA OA
- GSM8859213 BMAC scRNA OA - 7 BMAC scRNA OA
- GSM8859214 BMAC scRNA OA - 8 BMAC scRNA OA
- GSM8859215 BMAC scRNA OA - 9 BMAC scRNA OA
- GSM8859216 BMAC scRNA OA - 10 BMAC scRNA OA
- GSM8859217 BMAC scRNA OA - 11 BMAC scRNA OA
- GSM8859218 BMAC scRNA OA - 12 BMAC scRNA OA
- GSM8859219 BMAC scRNA OA - 13 BMAC scRNA OA
- GSM8859220 BMAC scRNA OA - 14 BMAC scRNA OA
- GSM8859221 BMAC scRNA OA - 15 BMAC scRNA OA
- GSM8859222 BMAC scRNA OA - 16 BMAC scRNA OA
- GSM8859223 BMAC scRNA OA - 17 BMAC scRNA OA
- GSM8859224 BMAC scRNA OA - 18 BMAC scRNA OA
- GSM8859225 BMAC scRNA OA - 19 BMAC scRNA OA
- GSM8859226 BMAC scRNA OA - 20 BMAC scRNA OA
- GSM8859227 BMAC scRNA OA - 21 BMAC scRNA OA
- GSM8859228 BMAC scRNA OA - 22 BMAC scRNA OA
- GSM8859229 BMAC scRNA OA - 23 BMAC scRNA OA
- GSM8859230 BMAC scRNA OA - 24 BMAC scRNA OA
- GSM8859231 BMAC scRNA OA - 25 BMAC scRNA OA
- GSM8859232 BMAC scRNA OA - 26 BMAC scRNA OA
- GSM8859233 BMAC scRNA OA - 27 BMAC scRNA OA
- GSM8859234 BMAC scRNA OA - 28 BMAC scRNA OA
- GSM8859235 BMAC scRNA OA - 29 BMAC scRNA OA
- GSM8859236 BMAC scRNA OA - 30 BMAC scRNA OA
- GSM8859237 BMAC scRNA OA - 31 BMAC scRNA OA
- GSM8859238 BMAC scRNA OA - 32 BMAC scRNA OA
- GSM8859239 BMAC scRNA OA - 33 BMAC scRNA OA
- GSM8859240 BMAC scRNA OA - 34 BMAC scRNA OA
- GSM8859241 BMAC scRNA OA - 35 BMAC scRNA OA
- GSM8859242 BMAC scRNA OA - 36 BMAC scRNA OA
- GSM8859243 BMAC scRNA OA - 37 BMAC scRNA OA
- GSM8859244 BMAC scRNA OA - 38 BMAC scRNA OA
- GSM8859245 BMAC scRNA OA - 39 BMAC scRNA OA
- GSM8859246 BMAC scRNA OA - 40 BMAC scRNA OA
+ 227 more — browse all 267 samples with per-sample file links →
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- GSE205472 A Single-Cell Atlas of HR+ Breast Cancer Reveals the Shifting of the Tumor Microenvironment in Response to Neoadjuvant Chemotherapy 13 samples shares single-cell, therapy
- GSE318490 Single-cell RNA-seq of tumor samples from six advanced HGSOC patients across treatment stages (pre-NACT, post-NACT and platinum-sensitive recurrence) 10 samples shares single-cell, treatment
- GSE283621 Single-cell multi-omics analysis identifies metabolism-linked epigenetic reprogramming as a driver of therapy-resistant medulloblastoma 79 samples shares single-cell, therapy
- GSE280982 Single-cell sequencing across radiation treatment timepoints in head and neck cancer 49 samples shares single-cell, treatment
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.