Lysosomal control of type I interferon induction via Ragulator-Rag complex
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 48 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
- Mus musculus (mouse)
- Samples
- 48 samples: 16 conditions, mostly in triplicateGroups 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
- The lysosomal LAMTOR-Rag complex functions as a checkpoint for antiviral interferon productionThe EMBO journal · 2026
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 GSE240635_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1004362 and SRA study SRP454563. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 48 samples.
How we read this: 16 replicated groups read from 48 sample titles; they account for 48 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.
- GSM7706504 WT_mock_ATAC, rep1 WT_mock_ATAC,
- GSM7706505 WT_mock_ATAC, rep2 WT_mock_ATAC,
- GSM7706506 WT_mock_ATAC, rep3 WT_mock_ATAC,
- GSM7706507 WT_cGAMP_ATAC, rep1 WT_cGAMP_ATAC,
- GSM7706508 WT_cGAMP_ATAC, rep2 WT_cGAMP_ATAC,
- GSM7706509 WT_cGAMP_ATAC, rep3 WT_cGAMP_ATAC,
- GSM7706510 3A_mock_ATAC, rep1 3A_mock_ATAC,
- GSM7706511 3A_mock_ATAC, rep2 3A_mock_ATAC,
- GSM7706512 3A_mock_ATAC, rep3 3A_mock_ATAC,
- GSM7706513 3A_cGAMP_ATAC, rep1 3A_cGAMP_ATAC,
- GSM7706514 3A_cGAMP_ATAC, rep2 3A_cGAMP_ATAC,
- GSM7706515 3A_cGAMP_ATAC, rep3 3A_cGAMP_ATAC,
- GSM7706516 WT_mock_RNA, rep1 WT_mock_RNA,
- GSM7706517 WT_mock_RNA, rep2 WT_mock_RNA,
- GSM7706518 WT_mock_RNA, rep3 WT_mock_RNA,
- GSM7706519 WT_CpG-B_RNA, rep1 WT_CpG-B_RNA,
- GSM7706520 WT_CpG-B_RNA, rep2 WT_CpG-B_RNA,
- GSM7706521 WT_CpG-B_RNA, rep3 WT_CpG-B_RNA,
- GSM7706522 WT_R848_RNA, rep1 WT_R848_RNA,
- GSM7706523 WT_R848_RNA, rep2 WT_R848_RNA,
- GSM7706524 WT_R848_RNA, rep3 WT_R848_RNA,
- GSM7706525 WT_cGAMP_RNA, rep1 WT_cGAMP_RNA,
- GSM7706526 WT_cGAMP_RNA, rep2 WT_cGAMP_RNA,
- GSM7706527 WT_cGAMP_RNA, rep3 WT_cGAMP_RNA,
- GSM7706528 WT_PolyIC_RNA, rep1 WT_PolyIC_RNA,
- GSM7706529 WT_PolyIC_RNA, rep2 WT_PolyIC_RNA,
- GSM7706530 WT_PolyIC_RNA, rep3 WT_PolyIC_RNA,
- GSM7706531 WT_LPS_RNA, rep1 WT_LPS_RNA,
- GSM7706532 WT_LPS_RNA, rep2 WT_LPS_RNA,
- GSM7706533 WT_LPS_RNA, rep3 WT_LPS_RNA,
- GSM7706534 3A_mock_RNA, rep1 3A_mock_RNA,
- GSM7706535 3A_mock_RNA, rep2 3A_mock_RNA,
- GSM7706536 3A_mock_RNA, rep3 3A_mock_RNA,
- GSM7706537 3A_CpG-B_RNA, rep1 3A_CpG-B_RNA,
- GSM7706538 3A_CpG-B_RNA, rep2 3A_CpG-B_RNA,
- GSM7706539 3A_CpG-B_RNA, rep3 3A_CpG-B_RNA,
- GSM7706540 3A_R848_RNA, rep1 3A_R848_RNA,
- GSM7706541 3A_R848_RNA, rep2 3A_R848_RNA,
- GSM7706542 3A_R848_RNA, rep3 3A_R848_RNA,
- GSM7706543 3A_cGAMP_RNA, rep1 3A_cGAMP_RNA,
+ 8 more — browse all 48 samples with per-sample file links →
- GSE287098 Influenza virus-induced type I interferons disrupt alveolar epithelial repair and tight junction integrity in the developing lung 96 samples shares interferon, type
- GSE304521 SEX-DEPENDENT TYPE I INTERFERON SIGNALING EXACERBATES ALZHEIMER'S PATHOLOGY 82 samples shares interferon, type
- GSE217807 ARID1A suppresses R-loop mediated STING-Type I Interferon pathway activation of anti-tumor immunity 62 samples shares interferon, type
- GSE161562 Transcriptome alteration in Nrf2 mutant developing oligodendrocytes treated with interferon gamma and thapsigargin in comparison with wild-type developing oligodendrocytes treated with interferon gamma and thapsigargin 50 samples shares interferon, type
- GSE217803 ARID1A suppresses R-loop mediated STING-Type I Interferon pathway activation of anti-tumor immunity (RNA-Seq) 46 samples shares interferon, type
- GSE161561 Transcriptome alteration in wild-type developing oligodendrocytes treated with interferon gamma and thapsigargin in comparison with untreated wild-type developing oligodendrocytes 40 samples shares interferon, type
- GSE289723 Interleukin-4 modulates type I interferon to augment anti-tumour immunity [scRNA-Seq] 36 samples shares interferon, type
- GSE289722 Interleukin-4 modulates type I interferon to augment anti-tumour immunity 30 samples shares interferon, type
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.