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YTHDF1 functions as a non-canonical nuclear checkpoint that couples R-loop homeostasis to innate immune restraint and adaptive immune resistance in cancer(CUT&Tag)

GSE319911 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2026/07/15 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 18 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
18 samples: 9 conditions, mostly in duplicateGroups 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.
Summary (written by the submitters)
Innate immune signaling within cancer cells plays an important role in shaping antitumor immunity, yet the nuclear mechanisms that restrain inappropriate immune activation remain incompletely defined. YTHDF1 is an mRNA-binding protein previously characterized as a cytoplasmic m⁶A reader. Emerging evidence indicates that YTHDF1 also functions in the nucleus, where it associates with chromatin and contributes to the regulation of R-loop homeostasis.
Read the full summary ↓
Loss of YTHDF1 results in R-loop accumulation, genomic instability, cytosolic DNA release, and activation of the cGAS–STING–type I interferon pathway. Mechanistically, YTHDF1 interacts with the chromatin remodeler ARID1A at immune-associated genomic regions, suggesting a cooperative role in maintaining genome stability and regulating immune-related transcriptional programs. To investigate the transcriptomic and chromatin-level consequences of YTHDF1 and ARID1A perturbation, we generated RNA sequencing (RNA-seq) and R-loop CUT&Tag datasets in A549 human lung cancer cells. RNA-seq was performed in two experimental settings: (1) wild-type (WT) and YTHDF1 knockout (YTHDF1-KO) cells; and (2) WT, YTHDF1-KO, ARID1A knockdown (siARID1A), and combined YTHDF1-KO with ARID1A knockdown cells. In parallel, R-loop CUT&Tag profiling was conducted under the same respective conditions to assess genome-wide R-loop distribution. These datasets provide integrated transcriptomic and chromatin profiling resources for studying the roles of YTHDF1 and ARID1A in regulating R-loop dynamics and tumor-intrinsic innate immune signaling
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE319911_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1425513 and SRA study SRP678051. Searching any of these in the dataset finder brings you back here.

Study design
9 conditions, mostly in duplicate
A549 cell, Wide type, WT_antiYTHDF1 ×2 A549 cell, Wide type, WT_antiARID1A ×2 A549 cell, Wide type, WT_IgG ×2 A549 cell,YTHDF1-KO_antiYTHDF1 ×2 A549 cell,YTHDF1-KO_antiARID1A ×2 A549 cell,YTHDF1-KO_IgG ×2 A549 cell, siARID1A_antiARID1A ×2 A549 cell, siARID1A_antiYTHDF1 ×2 +1 more

Supports a between-group comparison across 18 samples.

How we read this: 9 replicated groups read from 18 sample titles; they account for 18 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.

Samples in this study
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