Radiation induced YTHDF2 in dendritic cells impairs antitumor immunity
RNA-seq (gene expression) · mouse · 45 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
- 45 samples: 45 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
- Radiotherapy induces YTHDF2 in dendritic cells impairing cross-presentation and T cell functionThe Journal of experimental medicine · 2026
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 GSE309228_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 PRJNA1334374 and SRA study SRP627315. 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 45 sample titles: 45 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.
- GSM9263389 WT, Control, rep 1, mRNA-seq
- GSM9263390 WT, Control, rep 2, mRNA-seq
- GSM9263391 WT, Control, rep 3, mRNA-seq
- GSM9263392 WT, IR, rep 1, mRNA-seq
- GSM9263393 WT, IR, rep 2, mRNA-seq
- GSM9263394 WT, IR, rep 3, mRNA-seq
- GSM9263395 cKO, IR, r1, mRNA-seq
- GSM9263396 cKO, IR, r2, mRNA-seq
- GSM9263397 cKO, IR, r3, mRNA-seq
- GSM9263398 WT, Control, YTHDF2 IP, rep 1, RIP-seq
- GSM9263399 WT, Control, YTHDF2 IP, rep 2, RIP-seq
- GSM9263400 WT, Control, YTHDF2 IP, rep 3, RIP-seq
- GSM9263401 WT, Control, YTHDF2 IP, rep 4, RIP-seq
- GSM9263402 WT, Control, YTHDF2 IP, rep 5, RIP-seq
- GSM9263403 WT, Control, Input, rep 1, RIP-seq
- GSM9263404 WT, Control, Input, rep 2, RIP-seq
- GSM9263405 WT, Control, Input, rep 3, RIP-seq
- GSM9263406 WT, Control, Input, rep 4, RIP-seq
- GSM9263407 WT, Control, Input, rep 5, RIP-seq
- GSM9263408 WT, IR, YTHDF2 IP, rep 1, RIP-seq
- GSM9263409 WT, IR, YTHDF2 IP, rep 2, RIP-seq
- GSM9263410 WT, IR, YTHDF2 IP, rep 3, RIP-seq
- GSM9263411 WT, IR, YTHDF2 IP, rep 4, RIP-seq
- GSM9263412 WT, IR, YTHDF2 IP, rep 5, RIP-seq
- GSM9263413 WT, IR, Input, rep 1, RIP-seq
- GSM9263414 WT, IR, Input, rep 2, RIP-seq
- GSM9263415 WT, IR, Input, rep 3, RIP-seq
- GSM9263416 WT, IR, Input, rep 4, RIP-seq
- GSM9263417 WT, IR, Input, rep 5, RIP-seq
- GSM9263418 WT, Control, m6A IP, rep 1, MeRIP-seq
- GSM9263419 WT, Control, m6A IP, rep 2, MeRIP-seq
- GSM9263420 WT, Control, m6A IP, rep 3, MeRIP-seq
- GSM9263421 WT, Control, m6A IP, rep 4, MeRIP-seq
- GSM9263422 WT, Control, Input, rep 1, MeRIP-seq
- GSM9263423 WT, Control, Input, rep 2, MeRIP-seq
- GSM9263424 WT, Control, Input, rep 3, MeRIP-seq
- GSM9263425 WT, Control, Input, rep 4, MeRIP-seq
- GSM9263426 WT, IR, m6A IP, rep 1, MeRIP-seq
- GSM9263427 WT, IR, m6A IP, rep 2, MeRIP-seq
- GSM9263428 WT, IR, m6A IP, rep 3, MeRIP-seq
+ 5 more — browse all 45 samples with per-sample file links →
- GSE307388 Immune checkpoint blockade augments lymphodepleting chemotherapy-induced antitumor immunity by expanding effector CD8+ T cell clones in preclinical models of cancer 12 samples shares antitumor, immunity, induced
- GSE261642 PLPP1-deficiency-mediated ferroptosis induced by PD-1 signaling impairs antitumor activity of intratumoral CD8+ T cells I 23 samples shares antitumor, induced, impairs
- GSE285346 Mitochondrial metabolism and signaling direct dendritic cell function in antitumor immunity 39 samples shares dendritic, antitumor, immunity
- GSE298036 Fc-optimized CD40 Agonistic Antibody Induces Tertiary Lymphoid Structures and Systemic Antitumor Immunity in Metastatic Cancer Patients 33 samples shares antitumor, immunity
- GSE276107 Host MTDH orchestrates liver lipid metabolism and CD8+ T cells to suppress antitumor immunity 44 samples shares antitumor, immunity
- GSE296433 Engineered probiotics limit T-cell driven CNS autoimmunity by activating AHR-KLF4-FADS3 signaling in intestinal dendritic cells 40 samples shares dendritic, immunity
- GSE293874 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse bulk RNA-seq] 167 samples shares dendritic, immunity
- GSE235618 Effect of a dendritic cells derived extracellular vesicle as therapeutic vaccine platform to induce neuroprotective immunity for spinal cord injury 21 samples shares dendritic, 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.