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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...
9.9K

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Related Experiment Video

Updated: Jun 21, 2025

Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq
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Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq

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Deciphering brain cellular and behavioral mechanisms: Insights from single-cell and spatial RNA sequencing.

Renrui Chen1, Pengxing Nie1, Jing Wang1

  • 1CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.

Wiley Interdisciplinary Reviews. RNA
|July 7, 2024
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Summary

Single-cell RNA sequencing and spatial transcriptomics reveal individual brain cell functions. Integrating these technologies advances understanding of neurodevelopment, cognition, and brain disorders.

Keywords:
behavior mechanismbrain functioncellular mechanismsingle‐cell RNA sequencingspatial RNA sequencing

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Isolation of Region-specific Microglia from One Adult Mouse Brain Hemisphere for Deep Single-cell RNA Sequencing
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Area of Science:

  • Neuroscience
  • Genomics
  • Computational Biology

Background:

  • The brain's complexity arises from interacting neurons, each with unique gene expression.
  • Understanding cellular molecular profiles and spatial location is crucial for brain function insights.

Purpose of the Study:

  • To review single-cell RNA sequencing and spatial transcriptomics principles and challenges.
  • To highlight applications and future directions for these technologies in brain research.

Main Methods:

  • Overview of single-cell RNA sequencing (scRNA-seq) principles.
  • Explanation of spatial transcriptomics methodologies.
  • Discussion of data processing challenges and solutions.

Main Results:

  • scRNA-seq and spatial transcriptomics offer high-resolution molecular and positional data.
  • These methods are applicable to diverse neuroscience research areas.
  • Integration with computational modeling enhances biological interpretation.

Conclusions:

  • Integrating scRNA-seq and spatial transcriptomics with neuroscience fields like neurodevelopment and cognition is promising.
  • This integration will significantly advance understanding of cell roles in brain function.
  • Addressing critical neuroscience questions requires these advanced molecular and spatial profiling techniques.