Omics · study · 2026
DUET-seq: An Open-Source Droplet Platform for High-Fidelity Joint Chromatin and Transcriptome Profiling Reveals Temporal Regulatory Decoupling in Single Cells
Listed in NCBI GEO
Jointly profiling chromatin accessibility and gene expression in the same single cell is a powerful approach for linking regulatory elements to transcriptional output, yet widespread adoption has been limited by poor co-capture sensitivity, proprietary closed-source platforms, and prohibitive costs.
Description
Here we present DUET-seq, an open-source droplet microfluidic platform that jointly profiles chromatin accessibility and gene expression from the same nucleus.
DUET-seq introduces programmable, dissolvable dual-linker hydrogel beads and a one-step intra-droplet RT-PCR chemistry that physically co-indexes RNA and transposed chromatin fragments, completing library preparation in under 12 hours. Systematic optimization of joint reaction conditions, including strategies to suppress residual Tn5 activity, yields transcriptomic sensitivity exceeding that of existing platforms (~3,200 genes per cell in HEK293T) while maintaining competitive chromatin signal quality.
Read the rest (2 more)
By providing a fully disclosed reagent-and-device ecosystem, DUET-seq enables researchers to optimize lysis and reaction chemistry for non-standard tissues without proprietary constraints. We demonstrate the platform’s versatility by mapping over 14,000 cis-regulatory element-to-gene linkages in adult mouse brain and by profiling ~29,000 nuclei across six stages of postnatal spermatogenesis, where paired measurements reveal two modes of temporal regulatory decoupling—epigenetic priming and chromatin inertia—that are inaccessible to unimodal assays.
DUET-seq thus provides an accessible, cost-effective framework for joint single-nucleus multi-omic profiling, with broad applicability across developmental biology, disease epigenomics, and functional genomics.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE345nnn/GSE345817 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE345817 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1518292 ncbi.nlm.nih.gov/bioproject/PRJNA1518292 ↗
project · from NCBI GEO
Topics
- Stated by source
- Genome binding/occupancy profiling by high throughput sequencing · Mus musculus · Non-coding RNA profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE345817 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].geo_series_type:non-coding-rna-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |