bioRxivBioengineeringPreprint
scBiopsy-seq: a platform for temporal single-cell RNA-seq analysis
Linfeng Cai, Shiyan Lin, Minghao Qiu, Lin Li, Fuyuan LiiD, Jiajia LiuiD, Yuning Zou, Na XingiD, Shanshan LiangiD, Xing Jun XuiD, Chaoyong James YangiD, Jin LiiD
Abstract
The development of temporal single-cell RNA-seq (scRNA-seq) assay enabled us to systemically investigate the effects of various types of perturbations in a time course with single-cell resolution. However, the existing temporal scRNA-seq technologies have certain limitations in reliability, detection efficacy and detection diversity. In the current study, we develop scBiopsy-seq assay, which combines a synergistic electroosmosis-electrophoresis extraction method for efficient RNA extraction and digital microfluidics with contamination-isolated hydrophobic interface for high-performance sample processing. scBiopsy-seq extracts the cytoplasm at well-controlled volume to detect >10K genes per extraction with 90% successful rate. Functional enrichment analysis revealed that the genes robustly detected by scBiopsy-seq were associated to diverse biological processes, demonstrating its superb diversity of detection. scBiopsy-seq can perform the sequential extraction of the cytoplasm from the same cell multiple times, which allows us to associate the cell phenotypic responses with its transcriptional dynamics. We employed scBiopsy-seq to analyze the temporal response to a BRD4 degrader induced transcriptional suppression, which identified the key roles of fatty acid beta oxidation in this biological process. scBiopsy-seq with similar data quality as scRNA-seq will dramatically expand the application of temporal scRNA-seq towards a broader spectrum of cell biology research.
- Citations
- 0
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
- Live Droplet Single-Cell RNA Sequencing
David E. Reynolds, Sangmo Lee, … Jina Ko·bioRxiv·Nov 4, 2026
- Massively parallel, time-resolved single-cell RNA sequencing with scNT-Seq
Qi Qiu, Peng Hu, … Hao Wu·Nature MethodsPeer-reviewed·Aug 31, 2020
- Genome-wide molecular recording using Live-seq
Wanze Chen, Orane J. Guillaume-Gentil, … Bart Deplancke·bioRxiv·Mar 24, 2021
- Single Cell Track and Trace: live cell labelling and temporal transcriptomics via nanobiopsy.
Fabio Marcuccio, Chalmers Chi Cheng Chau, … Paolo Actis·Science AdvancesPeer-reviewed·Mar 6, 2024
- Highly sensitive and scalable time-resolved RNA sequencing in single cells with scNT-seq2
Qi Qiu, Hongjie Zhang, … Hao Wu·bioRxiv·Jun 3, 2025
- Lightning Fast and Highly Sensitive Full-Length Single-cell sequencing using FLASH-Seq
Vincent Hahaut, Dinko Pavlinić, … Simone Picelli·Nature BiotechnologyPeer-reviewed·May 30, 2022