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Updated: Oct 19, 2025

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

Microfluidic single-cell transcriptomics: moving towards multimodal and spatiotemporal omics.

Shichao Lin¹, Yilong Liu¹, Mingxia Zhang¹

¹The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China. hmzhang@xmu.edu.cn.

|September 20, 2021

Summary

This summary is machine-generated.

Microfluidic single-cell transcriptomics enhances the study of cellular heterogeneity and gene expression. This review covers advanced methodologies, multimodal omics, and spatiotemporal applications, highlighting future directions.

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Area of Science:

Molecular Biology
Genomics
Biotechnology

Background:

Cells exhibit significant heterogeneity, influencing biological processes.
Single-cell transcriptomics reveals gene expression variability and identifies novel cell types.
Microfluidic technologies have revolutionized single-cell transcriptomics, improving throughput, sensitivity, cost, and automation.

Purpose of the Study:

To review state-of-the-art microfluidic single-cell transcriptomics methodologies.
To discuss emerging trends and applications in the field.
To identify current challenges and future perspectives.

Main Methods:

Summarization of six typical microfluidic platforms for single-cell isolation and transcriptomic analysis.
Discussion of multimodal omics integration with transcriptomics.
Highlighting single-cell spatial and temporal transcriptomics approaches.

Main Results:

Detailed overview of microfluidic platforms enabling high-throughput single-cell analysis.
Exploration of multimodal omics for comprehensive gene expression network understanding.
Emphasis on spatiotemporal resolution in transcriptomic dynamics.

Conclusions:

Microfluidic single-cell transcriptomics offers powerful tools for biological research.
Integration of multimodal and spatiotemporal analyses provides deeper insights.
Addressing current challenges will drive future advancements in the field.