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Store-operated calcium signaling modulators improve a dendritic cell-based vaccine against melanoma

GSE342540 Homo sapiens (human) RNA-seq (gene expression) 9 samples Submitted 2026/08/07 Platform GPL24676
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)
Topic
MelanomaThis series is part of our curated briefing on it.
Samples
9 samples: 3 × MoDCs, CTR, biol vs 3 × MoDCs, pBr, biol vs 3 × MoDCs, Tg, biolGroups 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)
Dendritic cells (DCs) are crucial for eliciting cytotoxic CD8+ T cell responses against intracellular pathogens, viruses and cancer. DC-based vaccines can stimulate both cytotoxic and humoral immunity, as well as memory against cancer. However, efficacy has remained low, leaving room for improvement. Our previous work using conditional Stim1 knock-out mice highlighted the importance of store-operated calcium entry (SOCE) in promoting DC migration, phagosome maturation and DC_x0002_driven CD8+ T cell responses.
Read the full summary ↓
Yet its potential as a target to improve DC-mediated immune stimulation remains incompletely understood. We hypothesized that transient pharmacological modulation of SOCE signaling could boost DC-mediated T cell activity. Here, a targeted screen of SOCE modulators identified two compounds, thapsigargin (Tg) and para-bromo-2-aminoethyl diphenylborinate (pBr), that improved T cell proliferation, IL-2, and IFNG secretion in mouse and human DC:T cell co-cultures. In a B16 melanoma model, DC vaccines boosted with either compound reduced tumor growth by 50% and doubled the median survival benefit, increasing infiltration of activated CD8+ T cells, CD4+ T, natural killer, CD80+ B cells, and M1 macrophages. Neither compound affected the surface expression of MHC-I-peptide complexes, MHC-II, CD86, nor DC migration, although thapsigargin promoted antigen retention. Bulk RNA sequencing revealed instead broad changes in pathways regulating secretion, where cytokine array analysis confirmed both compounds boosted secretion of several immunomodulatory factors. Together, this work identifies SOCE as a druggable axis that may be exploited to boost DC-mediated T cell activation and improve DC-based anticancer therapies.
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 GSE342540_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 PRJNA1508171 and SRA study SRP724479. Searching any of these in the dataset finder brings you back here.

Study design
3 × MoDCs, CTR, biol vs 3 × MoDCs, pBr, biol vs 3 × MoDCs, Tg, biol

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
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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.