Cellular origin and clonal evolution of human dedifferentiated liposarcoma
RNA-seq (gene expression) · human · 84 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
- Homo sapiens (human)
- Topic
- Soft tissue sarcomaThis series is part of our curated briefing on it.
- Samples
- 84 samples: 84 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
- Cellular origin and clonal evolution of human dedifferentiated liposarcomaNature communications · 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 GSE221494_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 PRJNA914677 and SRA study SRP414269. 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 84 sample titles: 84 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.
- GSM6876457 Tumor patient 1 (DDLPS_DD), RNAseq
- GSM6876458 Tumor patient 1 (DDLPS_WD), RNAseq
- GSM6876459 Tumor patient 2 (DDLPS_DD), RNAseq
- GSM6876460 Tumor patient 2 (DDLPS_sWD), RNAseq
- GSM6876461 Tumor patient 3 (peritumoral_fat), RNAseq
- GSM6876462 Tumor patient 3 (WDLPS), RNAseq
- GSM6876463 Tumor patient 4 (DDLPS_WD), RNAseq
- GSM6876464 Tumor patient 5 (WDLPS), RNAseq
- GSM6876465 Tumor patient 6 (peritumoral_fat), RNAseq
- GSM6876466 Tumor patient 7 (peritumoral_fat), RNAseq
- GSM6876467 Tumor patient 8 (peritumoral_fat), RNAseq
- GSM6876468 Tumor patient 8 (WDLPS), RNAseq
- GSM6876469 Tumor patient 10 (DDLPS_DD), RNAseq
- GSM6876470 Tumor patient 10 (DDLPS_WD), RNAseq
- GSM6876471 Tumor patient 11 (lipoma), RNAseq
- GSM6876472 Tumor patient 12 (DDLPS_WD), RNAseq
- GSM6876473 Tumor patient 13 (WDLPS), RNAseq
- GSM6876474 Tumor patient 14 (DDLPS_DD), RNAseq
- GSM6876475 Tumor patient 15 (DDLPS_DD), RNAseq
- GSM6876476 Tumor patient 15 (DDLPS_WD), RNAseq
- GSM6876477 Tumor patient 16 (DDLPS_DD), RNAseq
- GSM6876478 Tumor patient 17 (DDLPS_DD), RNAseq
- GSM6876479 Tumor patient 18 (DDLPS_DD), RNAseq
- GSM6876480 Tumor patient 19 (lipoma), RNAseq
- GSM6876481 Tumor patient 20 (DDLPS_DD), RNAseq
- GSM6876482 Tumor patient 20 (DDLPS_WD), RNAseq
- GSM6876483 Tumor patient 21 (DDLPS_DD), RNAseq
- GSM6876484 Tumor patient 21 (DDLPS_WD), RNAseq
- GSM6876485 Tumor patient 22 (Hibernoma), RNAseq
- GSM6876486 Tumor patient 23 (lipoma), RNAseq
- GSM6876487 Tumor patient 24 (lipoma), RNAseq
- GSM6876488 Tumor patient 25 (DDLPS_WD), RNAseq
- GSM6876489 Tumor patient 26 (DDLPS_DD), RNAseq
- GSM6876490 Tumor patient 26 (DDLPS_WD), RNAseq
- GSM6876491 Tumor patient 27 (DDLPS_DD), RNAseq
- GSM6876492 Tumor patient 27 (DDLPS_WD), RNAseq
- GSM6876493 Tumor patient 28 (DDLPS_DD), RNAseq
- GSM6876494 Tumor patient 28 (DDLPS_WD), RNAseq
- GSM6876495 Tumor patient 29 (DDLPS_DD), RNAseq
- GSM6876496 Tumor patient 30 (DDLPS_WD), RNAseq
+ 44 more — browse all 84 samples with per-sample file links →
- GSE274482 EHMT1 mediates cellular motility in embryonal rhabdomyosarcoma by activating SOX8 expression. 12 samples same disease briefing · shares cellular
- GSE312030 Combined inhibition of HRAS and MEK induces tumor regression and restores myogenic differentiation in HRAS-mutant rhabdomyosarcoma 159 samples same disease briefing
- GSE273829 GABA promotes resistance to immunotherapy of patients with TLS-positive tumors [RNA-seq] 92 samples same disease briefing
- GSE275734 A multitargeting approach rewires cell identity in fusion-negative rhabdomyosarcoma [Human_RNAseq_bulk] 8 samples same disease briefing
- GSE300974 CDK8 Inhibition Releases the Muscle Differentiation Blockade in Fusion-driven Alveolar Rhabdomyosarcoma [RNA-seq] 30 samples same disease briefing
- GSE314949 RNA Seq of rhabdomyosarcoma cells with sgRNA targeting oncofusion interacting proteins 30 samples same disease briefing
- GSE279954 mRNA/sRNA Co-Sequencing Reveals Multiple New Targeted Therapy Candidates in Rhabdomyosarcoma 26 samples same disease briefing
- GSE292872 FANCM is Required for the PAX3::FOXO1-Driven Oncogenic Program in Rhabdomyosarcoma [RNA-Seq] 21 samples same disease briefing
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.