GEO series

The mutational landscape of STING-induced immunity

GSE330097 Homo sapiens (human) RNA-seq (gene expression) 9 samples Submitted 2026/06/25 Platform GPL34295

At a glance

RNA-seq (gene expression) · human · 9 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)
Samples: 9 samples: 3 × WT STING vs 3 × 119 STING vs 3 × 319 STINGGroups 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)

Stimulator of interferon genes (STING) is an evolutionary conserved immune signalling protein with key roles in host defence, cancer, senescence and inflammation.STING activation leads to type I interferon (IFN), NF-κB pathway and non-canonical autophagy responses. Despite its central role in immunity and relevance as therapeutic target, the sequence elements that govern STING (in)activation in cells remain poorly understood.

Read the full summary ↓

Here we developed a massively parallel assay to systematically chart the sequence-function landscape of STING. Profiling thousands of single amino-acid variants, we reconstructed structural and functional determinants that moderate or enable, respectively, STING’s immunostimulatory capacity and its ability to translate ligand recognition into cellular effector responses. Cryo-electron microscopy structures of distinct STING hyperactive variants revealed novel regulatory principles dictating conformational transition from inactive to signalling-competent states of STING. Collectively, these findings define the molecular principles that tune STING activity and chart the full landscape of its functional potential across immune contexts.

This dataset

Open GSE330097 in finder → Find more human RNA-seq datasets →

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.

Series matrix ↓

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 GSE330097_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA1462716 and SRA study SRP698015. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

3 × WT STING vs 3 × 119 STING vs 3 × 319 STING

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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

GSM9717869 WT STING 1 WT STING
GSM9717870 WT STING 2 WT STING
GSM9717871 WT STING 3 WT STING
GSM9717872 119 STING 1 119 STING
GSM9717873 119 STING 2 119 STING
GSM9717874 119 STING 3 119 STING
GSM9717875 319 STING 1 319 STING
GSM9717876 319 STING 2 319 STING
GSM9717877 319 STING 3 319 STING

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Search all human RNA-seq datasets in GEO →

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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.