← BioTransfer GEO Dataset Finder
GEO series

Massively multiplex multi-modal chemical screens at single-cell resolution with DOGMA-plex

GSE309834 Homo sapiens (human) Single-cell RNA-seq 140 samples Submitted 2026/04/14 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 140 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
140 samples: 5 conditions, mostly with about 28 replicates eachGroups 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)
We present DOGMA-plex, a novel cellular barcoding systems that enable multiplexed analysis of multiple independent samples within a single experiment through a combination of viral barcodes and antibody-based plate-barcodes. Using this platform, we successfully profiled around 1,200 drug-dose responses across 475 surface proteins, chromatin accessibility, and the whole transcriptome in human treated with around 300 different chromatin inhibitors, demonstrating the method's ability to capture multi-modal cellular responses to chemical perturbations.
This dataset
Open GSE309834 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 GSE309834_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: 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 PRJNA1346700 and SRA study SRP636933. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly with about 28 replicates each
DOGMA-plex ATAC library ×28 DOGMA-plex GEX library ×28 DOGMA-plex ADT library ×28 DOGMA-plex HTO library ×28 DOGMA-plex CT library ×28

Supports a between-group comparison across 140 samples.

How we read this: 5 replicated groups read from 140 sample titles; they account for 140 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

+ 100 more — browse all 140 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.