Single-cell multiomics profiling reveals heterogeneous transcriptional programs and microenvironment in Desmoplastic Small Round Cell Tumors [Patient_bulkRNA-seq]
Single-cell RNA-seq · human · 29 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
- 29 samples
- 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 multiomics profiling reveals heterogeneous transcriptional programs and microenvironment in DSRCTsCell reports. Medicine · 2024
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 GSE267805_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 PRJNA1113156. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run P1 … P29 and carry no group information.
- GSM8279078 P1
- GSM8279079 P2
- GSM8279080 P3
- GSM8279081 P4
- GSM8279082 P5
- GSM8279083 P6
- GSM8279084 P7
- GSM8279085 P8
- GSM8279086 P9
- GSM8279087 P10
- GSM8279088 P11
- GSM8279089 P12
- GSM8279090 P13
- GSM8279091 P14
- GSM8279092 P15
- GSM8279093 P16
- GSM8279094 P17
- GSM8279095 P18
- GSM8279096 P19
- GSM8279097 P20
- GSM8279098 P21
- GSM8279099 P22
- GSM8279100 P23
- GSM8279101 P24
- GSM8279102 P25
- GSM8279103 P26
- GSM8279104 P27
- GSM8279105 P28
- GSM8279106 P29
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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.