Citraconate preserves T cell stemness and antitumor immunity
RNA-seq (gene expression) · mouse · 9 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
- Mus musculus (mouse)
- Samples
- 9 samples: 3 × CTRL vs 3 × OVA vs 3 × OVA/CitraGroups 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 GSE326246_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 PRJNA1444995 and SRA study SRP687608. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.
- GSM9626126 CTRL replicate1 CTRL
- GSM9626127 CTRL replicate2 CTRL
- GSM9626128 CTRL replicate3 CTRL
- GSM9626129 OVA replicate1 OVA
- GSM9626130 OVA replicate2 OVA
- GSM9626131 OVA replicate3 OVA
- GSM9626132 OVA/Citra replicate2 OVA/Citra
- GSM9626133 OVA/Citra replicate3 OVA/Citra
- GSM9642095 OVA/Citra replicate1 OVA/Citra
- GSE283635 BACH2 dosage establishes the hierarchy of stemness and fine-tunes antitumor immunity in CAR T cells 18 samples shares antitumor, stemness, immunity
- GSE299133 Host MTDH orchestrates liver lipid metabolism and CD8+ T cells to suppress antitumor immunity [Hepatocytes] 18 samples shares antitumor, immunity
- GSE305573 Downregulation of Ezh2 promotes the differentiation of short-lived effector CD8 T cells and weakens antitumor immunity 12 samples shares antitumor, immunity
- GSE273961 Inhibition of salt inducible kinases reprograms T cells and antitumor immunity in ovarian cancer 9 samples shares antitumor, immunity
- GSE264447 Cold-inducible brown fat thermogenesis enhances MHC class I expression and antitumor immunity in ovarian cancer. 28 samples shares antitumor, immunity
- GSE324935 IFN-γ and TLR9 signaling reprogram tumor-associated macrophages to promote antitumor immunity in melanoma 20 samples shares antitumor, immunity
- GSE263625 Microglial reprogramming enhances antitumor immunity and immunotherapy response in melanoma brain metastases 19 samples shares antitumor, immunity
- GSE275283 Inhibition of tumor-intrinsic NAT10 enhances antitumor immunity by triggering type I interferon responses via MYC/CDK2/DNMT1 pathway 18 samples shares antitumor, immunity
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.