Inverse genetics tracing the differentiation pathway of human chondrocytes
Single-cell RNA-seq · human · 10 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
- 10 samples: 10 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
- Inverse genetics tracing the differentiation pathway of human chondrocytesOsteoarthritis and cartilage · 2024
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 GSE261806_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 PRJNA1089120 and SRA study SRP496068. 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 10 sample titles: 10 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.
- GSM8152372 Day 0 of reprogrammed chondrocytes
- GSM8152373 Day 1 of reprogrammed chondrocytes
- GSM8152374 Day 2 of reprogrammed chondrocytes
- GSM8152375 Day 3 of reprogrammed chondrocytes
- GSM8152376 Day 5 of reprogrammed chondrocytes
- GSM8152377 Day 6 of reprogrammed chondrocytes
- GSM8152378 Day 7 of reprogrammed chondrocytes
- GSM8152379 Day 8 of reprogrammed chondrocytes
- GSM8152380 Day 9 of reprogrammed chondrocytes
- GSM8152381 Day 10 of reprogrammed chondrocytes
- GSE255768 Chondrocytes differentiation and immune cells interactions of Endplate Cells in Human Intervertebral Disc Degeneration 2 samples shares chondrocytes
- GSE36552 Tracing pluripotency of human early embryos and embryonic stem cells by single cell RNA-seq 124 samples shares tracing
- GSE280268 A pattern to rule them all: tracing a human brain map of shared molecular aspects across aging, Alzheimer’s disease and dementia with Lewy bodies 90 samples shares tracing
- GSE293777 A high-risk osteoarthritis mutation in COL6A3 alters the mechanobiologic response of chondrocytes derived from human induced pluripotent stem cells 84 samples shares chondrocytes
- GSE233885 Single cell sequencing and retrograde barcode tracing reveal human DA neuron identities based on projection patterns in stem cell-derived grafts 21 samples shares tracing
- GSE291878 High throughput RNA-seq analysis in human primary chondrocytes treated with cyproheptadine and IL-1β 20 samples shares chondrocytes
- GSE271041 Global 13C tracing and metabolic flux analysis of intact human liver tissue ex vivo 17 samples shares tracing
- GSE243387 RNA transcriptome sequencing of human ear chondrocytes 15 samples shares chondrocytes
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.