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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Updated: May 10, 2025

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
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Advances in Microfluidic Single-Cell RNA Sequencing and Spatial Transcriptomics.

Yueqiu Sun1,2, Nianzuo Yu1,2, Junhu Zhang1,2

  • 1State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130000, China.

Micromachines
|April 26, 2025
PubMed
Summary
This summary is machine-generated.

Microfluidic chips enhance single-cell and spatial multi-omics analysis by enabling high-throughput screening. These advanced technologies offer new insights into tissue gene expression, homeostasis, and disease mechanisms.

Keywords:
microfluidicssingle cellsingle-cell RNA sequencing (scRNA-seq)spatial transcriptome

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Genomics

Background:

  • Micro- and nano-fabrication technologies have significantly advanced single-cell and spatial omics.
  • Microfluidic chips offer integration and compartmentalization for high-throughput parallel reactions.
  • Omics technologies are increasingly integrated with microfluidics for molecular characterization.

Purpose of the Study:

  • To survey microfluidic methods for single-cell and spatial multi-omics.
  • To assess the advantages and limitations of current microfluidic approaches.
  • To highlight advancements in microfluidic-based multi-omics over the past decade.

Main Methods:

  • Review of microfluidic chip applications in single-cell and spatial multi-omics.
  • Analysis of integration of transcriptomics technologies with microfluidics.
  • Assessment of microfluidic adaptations for multi-omics insights.

Main Results:

  • Microfluidic chips facilitate high-throughput single-cell screening and analysis.
  • Integration of microfluidics with omics technologies provides molecular insights into tissue gene expression.
  • Microfluidic methods reveal static and dynamic processes in tissue homeostasis and disease.

Conclusions:

  • Microfluidics has greatly improved single-cell and spatial multi-omics.
  • These methods offer new insights into development, neuroscience, and disease mechanisms.
  • Future perspectives include advances in translational and clinical medicine.