GABA promotes resistance to immunotherapy of patients with TLS-positive tumors [RNA-seq]
RNA-seq (gene expression) · human · 92 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
- 92 samples: 77 distinct titles, 5 of them repeatedGroups 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.
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 GSE273829_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 PRJNA1143431 and SRA study SRP523884. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 92 sample titles: 77 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.
- GSM8437766 ccRCC tumor bulk RNA-seq b48c
- GSM8437767 ccRCC tumor bulk RNA-seq 919f
- GSM8437768 ccRCC tumor bulk RNA-seq f469
- GSM8437769 ccRCC tumor bulk RNA-seq 547f
- GSM8437770 ccRCC tumor bulk RNA-seq eba5
- GSM8437771 ccRCC tumor bulk RNA-seq e38f
- GSM8437772 ccRCC tumor bulk RNA-seq 816a
- GSM8437773 ccRCC tumor bulk RNA-seq 7216
- GSM8437774 ccRCC tumor bulk RNA-seq 764b
- GSM8437775 ccRCC tumor bulk RNA-seq 8523
- GSM8437776 ccRCC tumor bulk RNA-seq 743e
- GSM8437777 ccRCC tumor bulk RNA-seq 40ba
- GSM8437778 ccRCC tumor bulk RNA-seq bdd0
- GSM8437779 ccRCC tumor bulk RNA-seq 8c0e
- GSM8437780 ccRCC tumor bulk RNA-seq 8bbc
- GSM8437781 ccRCC tumor bulk RNA-seq 40de
- GSM8437782 ccRCC tumor bulk RNA-seq 0d38
- GSM8437783 ccRCC tumor bulk RNA-seq bc24
- GSM8437784 ccRCC tumor bulk RNA-seq caa3
- GSM8437785 ccRCC tumor bulk RNA-seq 3bea
- GSM8437786 ccRCC tumor bulk RNA-seq 44b3
- GSM8437787 ccRCC tumor bulk RNA-seq 0787
- GSM8437788 ccRCC tumor bulk RNA-seq 65f1
- GSM8437789 ccRCC tumor bulk RNA-seq 8831
- GSM8437790 ccRCC tumor bulk RNA-seq 4b33
- GSM8437791 ccRCC tumor bulk RNA-seq 61e8
- GSM8437792 ccRCC tumor bulk RNA-seq 19c0
- GSM8437793 ccRCC tumor bulk RNA-seq ccaf
- GSM8437794 ccRCC tumor bulk RNA-seq 579d
- GSM8437795 ccRCC tumor bulk RNA-seq ccbb
- GSM8437796 ccRCC tumor bulk RNA-seq 4f16
- GSM8437797 ccRCC tumor bulk RNA-seq f158
- GSM8437798 ccRCC tumor bulk RNA-seq e0c7
- GSM8437799 ccRCC tumor bulk RNA-seq 39c4
- GSM8437800 ccRCC tumor bulk RNA-seq d022
- GSM8437801 ccRCC tumor bulk RNA-seq 4a7b
- GSM8437802 ccRCC tumor bulk RNA-seq 3e11
- GSM8437803 ccRCC tumor bulk RNA-seq cff1
- GSM8437804 ccRCC tumor bulk RNA-seq eebb
- GSM8437805 ccRCC tumor bulk RNA-seq 5f65
+ 52 more — browse all 92 samples with per-sample file links →
- GSE273952 GABA promotes resistance to immunotherapy of patients with TLS-positive tumors [Spatial Transcriptomics] 19 samples same disease briefing · shares gaba, immunotherapy, tls-positive, resistance, promotes
- GSE300974 CDK8 Inhibition Releases the Muscle Differentiation Blockade in Fusion-driven Alveolar Rhabdomyosarcoma [RNA-seq] 30 samples same disease briefing · shares rna-seq
- GSE292872 FANCM is Required for the PAX3::FOXO1-Driven Oncogenic Program in Rhabdomyosarcoma [RNA-Seq] 21 samples same disease briefing · shares rna-seq
- GSE240287 RNA-sequencing of matched samples from rhabdomyosarcoma samples, obtained before therapy and mid-treatment resection 18 samples same disease briefing · shares rna-seq
- GSE274640 MYOD1L122R induces cancer stem cell pathways to impart chemotherapy and radiation-resistance in aggressive rhabdomyosarcoma. 80 samples same disease briefing · shares resistance
- GSE312030 Combined inhibition of HRAS and MEK induces tumor regression and restores myogenic differentiation in HRAS-mutant rhabdomyosarcoma 159 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
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.