Loss of PARP7 increases IFN-I signalling preventing pancreatic tumour growth by enhancing immune cell infiltration
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 9 × CR705, PARP7KO, vs 7 × CR705, WT,Groups 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
- Loss of Parp7 increases type I interferon signalling and reduces pancreatic tumour growth by enhancing immune cell infiltrationFrontiers in immunology · 2024
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 GSE276293_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 PRJNA1156560 and SRA study SRP530399. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 2 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8495141 CR705, WT, Rep1 CR705, WT,
- GSM8495142 CR705, WT, Rep2 CR705, WT,
- GSM8495143 CR705, WT, Rep3 CR705, WT,
- GSM8495144 CR705, WT, Rep4 CR705, WT,
- GSM8495145 CR705, WT, Rep5 CR705, WT,
- GSM8495146 CR705, WT, Rep6 CR705, WT,
- GSM8495147 CR705, WT, Rep7 CR705, WT,
- GSM8495148 CR705, PARP7KO, Rep1 CR705, PARP7KO,
- GSM8495149 CR705, PARP7KO, Rep2 CR705, PARP7KO,
- GSM8495150 CR705, PARP7KO, Rep3 CR705, PARP7KO,
- GSM8495151 CR705, PARP7KO, Rep4 CR705, PARP7KO,
- GSM8495152 CR705, PARP7KO, Rep5 CR705, PARP7KO,
- GSM8495153 CR705, PARP7KO, Rep6 CR705, PARP7KO,
- GSM8495154 CR705, PARP7KO, Rep7 CR705, PARP7KO,
- GSM8495155 CR705, PARP7KO, Rep8 CR705, PARP7KO,
- GSM8495156 CR705, PARP7KO, Rep9 CR705, PARP7KO,
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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.