DMAP1 promotes lung cancer progression by maintaining replication fork stability and suppressing IFN signaling-mediated anti-tumor immunity [scRNA-seq]
Single-cell RNA-seq · mouse · 2 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 2 samples
- 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
- DMAP1 Deficiency Suppresses Lung Cancer Progression by Destabilizing Replication Fork and Activating IFN Signaling-Mediated Anti-tumor ImmunityAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 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 GSE304429_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1301299 and SRA study SRP606274. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 2 more — browse all 2 samples with per-sample file links →
- GSE334405 cGAS-mediated IFN-I signaling contributes to disease progression in drug-refractory epilepsy 44 samples shares ifn, progression
- GSE237643 Deletion of the mRNA endonuclease Regnase-1 promotes NK cell anti-tumor activity via OCT2- dependent transcription of Ifng 58 samples shares ifn, anti-tumor
- GSE326200 Absence of Clec1a in murine cDC1s decrease IFN responses to necrotic cells 237 samples shares ifn
- GSE313732 Type I IFN Dynamics Orchestrate Protective ICAM1⁺ Neutrophil Heterogeneity as an Early Checkpoint for Survival in Lethal Viral Infection [RNA-Seq] 78 samples shares ifn
- GSE309564 IFNg shapes macrophage inflammatory responses by STAT1 isoform-specific epigenetic and transcriptional mechanisms [RNA-Seq] 72 samples shares ifn
- GSE215179 Selective requirement of 3D genomic organization for the Mdm1-Il22-Ifng locus regulation in initial Th1 cell lineage specification and differentiation 30 samples shares ifn
- GSE297993 Effect of Ptpn1/2 knockout on the transcriptome of unstimulated or IFN-beta stimulated B16-OVA cells 30 samples shares ifn
- GSE297320 The mRNA levels of Ly6G+ cells from the bone marrow of septic mice after IFN-gamma stimulation. 30 samples shares ifn
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.