Live Droplet Single-Cell RNA Sequencing

Single-cell RNA sequencing has emerged as one of the most influential methods of the past decade, enabling the dissection of cellular heterogeneity and the discovery of rare cell types. However, most workflows require cell lysis and provide only terminal snapshots, limiting their ability to capture dynamic cellular trajectories and temporal variations within the same cell. Herein, we present Live Droplet single-cell RNA sequencing (Live D-seq), a technology that enables scalable transcriptome-wide profiling of individual living cells over time. Live D-seq combines longitudinal intracellular sampling of live, barcoded cells with particle-templated emulsification and barcoded hydrogel beads, enabling repeated samples from the same cell lineage to be linked across time points. We showcase Live D-seq's capabilities by (i) demonstrating minimal cross-contamination in cross-species experiments, (ii) precisely mapping cellular barcodes to hydrogel bead barcodes, and (iii) tracking epithelial-to-mesenchymal transition dynamics in A549 cells over time. Altogether, Live D-seq enables repeated, non-destructive measurements of gene expression in the same single cells, offering a framework to study longitudinal single-cell biology in health and disease.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-04
DOI
https://doi.org/10.64898/2026.11.03.763484
Primary Topic
Single-cell and spatial transcriptomics
Type
preprint
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preprint

Live Droplet Single-Cell RNA Sequencing

Yoon Ho Roh, Shailesh Senthil Kumar, Chin Nien Lee, Bomyi Lim et al.
bioRxiv (Cold Spring Harbor Laboratory)
Single-cell and spatial transcriptomics
preprint

Live Droplet Single-Cell RNA Sequencing

Yoon Ho Roh, Shailesh Senthil Kumar, Chin Nien Lee, Bomyi Lim, Renee‐Tyler T. Morales, Gaochen Jin, Jina Ko, David E. Reynolds, Emily Huynh, Phoebe Vallapureddy, Renis J. Agosto Nieves, Xiaowei Xu, Sydney Shaffer, Junhyong Kim, Jianhua Lim, Daniel Oh, Sangmo Lee, Shujing Liu, Sydney Bracht, Yanxiang Deng
preprint en

Abstract

Single-cell RNA sequencing has emerged as one of the most influential methods of the past decade, enabling the dissection of cellular heterogeneity and the discovery of rare cell types. However, most workflows require cell lysis and provide only terminal snapshots, limiting their ability to capture dynamic cellular trajectories and temporal variations within the same cell. Herein, we present Live Droplet single-cell RNA sequencing (Live D-seq), a technology that enables scalable transcriptome-wide profiling of individual living cells over time. Live D-seq combines longitudinal intracellular sampling of live, barcoded cells with particle-templated emulsification and barcoded hydrogel beads, enabling repeated samples from the same cell lineage to be linked across time points. We showcase Live D-seq's capabilities by (i) demonstrating minimal cross-contamination in cross-species experiments, (ii) precisely mapping cellular barcodes to hydrogel bead barcodes, and (iii) tracking epithelial-to-mesenchymal transition dynamics in A549 cells over time. Altogether, Live D-seq enables repeated, non-destructive measurements of gene expression in the same single cells, offering a framework to study longitudinal single-cell biology in health and disease.

bioRxiv (Cold Spring Harbor Laboratory)
Incheon National University (KR), University of Pennsylvania (US)
Single-cell and spatial transcriptomics
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