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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: Aug 25, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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Recent advances in high-throughput single-cell transcriptomics and spatial transcriptomics.

Xiaohan Shen1, Yichun Zhao1, Zhuo Wang1

  • 1Key Laboratory of Whole-Period Monitoring and Precise Intervention of Digestive Cancer (SMHC), Minhang Hospital and Shanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China. qihuishi@fudan.edu.cn.

Lab on a Chip
|October 18, 2022
PubMed
Summary
This summary is machine-generated.

High-throughput single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics, powered by microfluidics, enable detailed cell analysis. These technologies reveal cellular composition, heterogeneity, and communication, advancing biological discovery and precision medicine.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Biotechnology

Background:

  • Single-cell RNA sequencing (scRNA-seq) enables transcriptome analysis of rare and significant cells.
  • High-throughput scRNA-seq protocols utilize cell barcoding and microchip technologies for large-scale single-cell resolution.
  • Spatial transcriptomics integrates transcriptomic data with spatial coordinates for in-situ tissue analysis.

Purpose of the Study:

  • To review technological advancements in high-throughput scRNA-seq and spatial transcriptomics.
  • To discuss the advantages and limitations of these powerful single-cell analysis tools.
  • To highlight new biological insights gained from applying these technologies.

Main Methods:

  • Review of microfluidics and microwell-based platforms for high-throughput scRNA-seq.
  • Integration of cellular transcriptomics with spatial coordinates in spatial transcriptomics.
  • Analysis of cell barcoding and microchip technologies for transcriptome profiling.

Main Results:

  • Microfluidics and microwell platforms are crucial for high-throughput scRNA-seq.
  • Spatial transcriptomics is a key tool for understanding tissue cellular composition and communication.
  • These technologies facilitate cell type classification, novel population discovery, and lineage tracing.

Conclusions:

  • High-throughput scRNA-seq and spatial transcriptomics are transformative tools in biological research.
  • Microfluidics plays a vital role in the advancement of both scRNA-seq and spatial transcriptomics.
  • These technologies are essential for uncovering new biological mechanisms and advancing precision medicine.