A SINC-Seq Protocol for the Analysis of Subcellular Gene Expression in Single Cells
Mahmoud N Abdelmoez1,2, Hirofumi Shintaku3
1Cluster for Pioneering Research, RIKEN, Wako, Saitama, Japan.
Methods in Molecular Biology (Clifton, N.J.)
|July 10, 2023
Summary
We developed single-cell integrated nuclear and cytoplasmic RNA-sequencing (SINC-seq) for precise subcellular RNA analysis. This microfluidic method separates nuclear and cytoplasmic RNA from single cells for detailed gene expression studies.
Area of Science:
- Molecular Biology
- Biotechnology
- Genomics
Background:
- Microfluidic devices enable precise control of single cells and molecules.
- Current methods face limitations in subcellular RNA analysis and contamination.
- Single-cell resolution is crucial for understanding cellular heterogeneity.
Purpose of the Study:
- To introduce a novel microfluidic approach for precise fractionation of cytoplasmic and nuclear RNA from single cells.
- To enable detailed analysis of gene expression and RNA localization within subcellular compartments.
- To provide a comprehensive protocol for SINC-seq compatible with short-read and long-read sequencing.
Main Methods:
- Development of a microfluidic system utilizing a hydrodynamic trap and electric field control.
- Isolation of single cells and selective lysis of the plasma membrane.
- Electrophoretic extraction of cytoplasmic RNA while retaining the nucleus.
- Off-chip library preparation for RNA sequencing (Illumina and Oxford Nanopore Technologies).
Main Results:
- Demonstration of precise fractionation of cytoplasmic and nuclear RNA from individual cells.
- Successful application of electric field control for subcellular manipulation within microfluidics.
- Generation of RNA sequencing libraries for both short-read and long-read platforms.
Conclusions:
- SINC-seq offers a powerful tool for dissecting gene expression and RNA localization at the subcellular level.
- This microfluidic-based approach enhances resolution and minimizes contamination in single-cell RNA analysis.
- The protocol facilitates comprehensive transcriptome analysis from distinct cellular compartments.


