Related Experiment Video
Updated: Aug 5, 2026

12:04
A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
Published on: March 1, 2017
Transcript Identification Using Arrayed Hydrogels with TrapFISH
David B Morse1,2,3, Zenon Toprakcioglu4, Akhila Denduluri-Marthi4
1Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge, UK.
Summary
trapFISH is a novel method for single-cell transcriptomics that enhances scalability by using hydrogel beads and microfluidics. This approach improves throughput and accuracy for profiling rare cell states and gene expression patterns.
Area of Science:
- Genomics
- Molecular Biology
- Biotechnology
Background:
- Single-cell transcriptomics is crucial for understanding cellular diversity.
- Sequencing capacity limitations restrict the number of cells that can be profiled.
- Existing methods face challenges in scalability and throughput for large-scale analysis.
Purpose of the Study:
- To introduce trapFISH, a scalable method for targeted transcript quantification in single cells.
- To overcome sequencing capacity bottlenecks in single-cell transcriptomics.
- To enable efficient discovery of rare cell states and gene expression patterns.
Main Methods:
- Embedding cells in hydrogel beads for arraying in microfluidic chambers.
- Utilizing probe-hybridization for targeted transcript quantification.
- Linking transcriptional measurements directly to individual hydrogels without cell barcoding.
Main Results:
- trapFISH demonstrates high scalability and improved throughput for single-cell transcriptomics.
- The method maintains high accuracy in identifying key cellular transcripts.
- trapFISH facilitates the discovery of rare cell states by focusing on custom gene panels.
Conclusions:
- trapFISH offers a precise and efficient tool for single-cell characterization.
- This method expands the flexibility and applicability of transcriptomics for large-scale genomic profiling.
- trapFISH opens new avenues for prioritizing biologically meaningful gene expression patterns.

