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Related Experiment Video

Updated: Mar 22, 2026

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq.

Tamar Hashimshony¹, Naftalie Senderovich¹, Gal Avital¹

¹Department of Biology, Technion - Israel Institute of Technology, Haifa, Israel.

|April 29, 2016

Summary

This summary is machine-generated.

We developed CEL-Seq2, a more sensitive and cost-effective method for single-cell RNA sequencing. This advanced technique enhances gene expression analysis and offers greater ease of use for researchers.

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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Area of Science:

Molecular Biology
Genomics
Biotechnology

Background:

Single-cell transcriptomics is crucial for understanding cellular heterogeneity.
Existing methods for single-cell RNA sequencing (scRNA-Seq) face challenges in sensitivity, cost, and workflow efficiency.
Reproducibility and accuracy are paramount for reliable scRNA-Seq data.

Purpose of the Study:

To introduce CEL-Seq2, an improved version of the CEL-Seq method for scRNA-Seq.
To enhance sensitivity, reduce costs, and minimize hands-on time in scRNA-Seq workflows.
To demonstrate the utility of CEL-Seq2 for analyzing gene expression dynamics, such as cell cycle progression.

Main Methods:

CEL-Seq2 was developed as a modification of the original CEL-Seq protocol.
CEL-Seq2 was integrated with Fluidigm's C1 system for on-chip, single-cell barcoding.
Gene expression analysis was performed on mouse fibroblast cells undergoing the cell cycle.
Comparative analysis was conducted against the Smart-Seq method to assess sensitivity.

Main Results:

CEL-Seq2 demonstrated threefold higher sensitivity compared to the original CEL-Seq method.
The new method offers reduced costs and requires less hands-on time.
CEL-Seq2 successfully detected gene expression changes during the cell cycle in mouse fibroblasts.
Comparison revealed superior sensitivity of CEL-Seq2 over Smart-Seq.

Conclusions:

CEL-Seq2 represents a significant advancement in scRNA-Seq technology.
The enhanced sensitivity, cost-effectiveness, and ease of use make CEL-Seq2 ideal for various scRNA-Seq applications.
CEL-Seq2 provides higher resolution and economic viability for single-cell gene expression studies.