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Pharmaco-behavioral Profiling Identifies Suppressors of Autism Gene-Associated Phenotypes in Zebrafish

GSE316340 Danio rerio (zebrafish) RNA-seq (gene expression) 58 samples Submitted 2026/03/18 Platform GPL34284Platform GPL34622
At a glance

RNA-seq (gene expression) · zebrafish · 58 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
Danio rerio (zebrafish)
Samples
58 samples: 12 conditions, mostly in triplicateGroups 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
Pharmaco-behavioral profiling identifies suppressors of autism gene-associated phenotypes in zebrafishProceedings of the National Academy of Sciences of the United States of America · 2026
Summary (written by the submitters)
In this study, we establish a pharmaco-behavioral database of behavioral signatures of 520 U.S. FDA-approved drugs using high-throughput assays of basic sensory processing and arousal behaviors in larval zebrafish and define highly conserved effects of common psychotropic medication targets. By leveraging the behavioral profiles of nine large-effect ASD gene mutants, we identify enrichment of pharmacological mechanisms that anti-correlate with subgroups of ASD genes informed by a precision medicine approach.
Published in
Pharmaco-behavioral profiling identifies suppressors of autism gene-associated phenotypes in zebrafish
Jamadagni P, Dai Y, Liu Y et al. · Proceedings of the National Academy of Sciences of the United States of America 2026 · PMID 41838920 · doi:10.1073/pnas.2518846123
This dataset
Open GSE316340 in finder → Find more 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 GSE316340_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 PRJNA1402340 and SRA study SRP661872. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41838920) ↗
Study design
12 conditions, mostly in triplicate
Donor_553_LEVO ×9 Donor_2607_DMSO ×9 Donor_2607_LEVO ×9 Donor_553_DMSO ×7 dyrk_HOM_DMSO ×3 dyrk_HOM_LEVO ×3 dyrk_WT_DMSO ×3 dyrk_WT_LEVO ×3 +4 more

Supports a between-group comparison across 58 samples.

How we read this: 12 replicated groups read from 58 sample titles; they account for 58 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

+ 18 more — browse all 58 samples with per-sample file links →

Datasets on a similar topic

Search all 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.