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LINE-1 ORF1p immune evasion mechanisms in pancreatic ductal adenocarcinoma

GSE287105 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/01/16 Platform GPL30882
At a glance

RNA-seq (gene expression) · human · 24 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
Homo sapiens (human)
Topic
Pancreatic cancerThis series is part of our curated briefing on it.
Samples
24 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.
Summary (written by the submitters)
Repeat element viral mimicry is a common feature in pancreatic ductal adenocarcinoma (PDAC) that require mechanisms to manage this repeat “viral” load and attenuate innate immune responses. Here, we show that the LINE-1 ORF1 protein (ORF1p) in PDAC cells plays a role in shielding repeat RNAs from activating a pathogen recognition receptor (PRR)-mediated antiviral response that is independent of retrotransposition.
Read the full summary ↓
Suppression of ORF1p using short hairpin RNA induces innate immune responses through the dsRNA sensors RIG-I and MAVS. Low ORF1p PDAC cell lines have suppressed expression of PRRs demonstrating convergent mechanisms to suppress innate immune signaling. Localization of ORF1p in processing bodies (P-bodies) with the dsRNA helicase MOV10 were found important for these antiviral responses. Loss of ORF1p resulted in significant growth reduction in tumorspheres and mouse xenografts with an enriched epithelial cell state, and high ORF1p expression was associated with worsened survival in a cohort of human PDAC patients.
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 GSE287105_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: 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 PRJNA1211127 and SRA study SRP557618. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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