Low-input ATAC&mRNA-Seq: a simple and robust method for simultaneous dual-omics profiling with low cell number
Abstract
Deciphering epigenetic regulation of gene expression requires measuring the epigenome and transcriptome jointly. Single-cell multi-omics technologies have been developed for concurrent profiling of chromatin accessibility and gene expression. However, multi-omics profiling of low-input bulk samples remains challenging. Therefore, we developed low-input ATAC&mRNA-seq, a simple and robust method for studying the role of chromatin structure in gene regulation in a single experiment with thousands of cells, to maximize insights from limited input material by obtaining ATAC-seq and mRNA-seq data simultaneously from the same cells with data quality comparable to conventional mono-omics assays. Integrative data analysis revealed similar strong association between promoter accessibility and gene expression using the data of low-input ATAC&mRNA-seq as using single-assay data, underscoring the accuracy and reliability of our dual-omics assay to generate both data types simultaneously with just thousands of cells. We envision our method to be widely applied in many biological disciplines with limited materials.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 6
- FWCI
- 0.31
- Field percentile
- 47th percentile
- Assay
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Flexible and high-throughput simultaneous profiling of gene expression and chromatin accessibility in single cells
Volker Soltys, Moritz A Peters, … Yingguang Frank Chan·eLifePeer-reviewed·Jul 20, 2026
- Smart3-ATAC: a highly sensitive method for joint accessibility and full-length transcriptome analysis in single cells
Huaitao Cheng, Han‐Pin Pui, … Martin Enge·bioRxiv·Dec 2, 2021
- Easy-Multiome enables joint profiling of gene expression and chromatin accessibility in single cells
XUAN ZHANG, Mark A.A. Minow, Robert J. Schmitz·bioRxiv·Jul 21, 2026
- Global Prediction of Chromatin Accessibility Using RNA-seq from Small Number of Cells
Weiqiang Zhou, Zhicheng Ji, Hongkai Ji·bioRxiv·Jan 3, 2016
- High-throughput chromatin accessibility profiling at single-cell resolution
Anja Mezger, Sandy L. Klemm, … William James Greenleaf·Nature CommunicationsPeer-reviewed·Sep 3, 2018
- Massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing
Xuan Zhang, Alexandre P. Marand, … Robert J. Schmitz·Genome biologyPeer-reviewed·Apr 8, 2024