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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: Jun 18, 2025

Visualizing Genetic Variants, Short Targets, and Point Mutations in the Morphological Tissue Context with an RNA In Situ Hybridization Assay
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Open-source, high-throughput targeted in situ transcriptomics for developmental and tissue biology.

Hower Lee1, Christoffer Mattsson Langseth1, Sergio Marco Salas1

  • 1Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 171 65 Solna, Sweden.

Development (Cambridge, England)
|August 5, 2024
PubMed
Summary

We developed a new method for mapping gene activity within tissues, enabling detailed cellular and tissue analysis. This approach offers high throughput and multiplexing for diverse biological research.

Keywords:
In situ hybridizationMulti-omicsMultiplex imagingOpen sourcePadlock probesSpatial transcriptomics

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Multiplexed spatial profiling of messenger RNAs (mRNAs) is crucial for understanding tissue architecture and cellular diversity.
  • Existing methods face challenges in sensitivity, throughput, and multiplexing capabilities.

Purpose of the Study:

  • To introduce a novel, sensitive, open-source method for generating in situ expression maps of hundreds of genes.
  • To provide a flexible and high-throughput approach for spatially resolved transcriptomics.

Main Methods:

  • Direct ligation of padlock probes on mRNAs.
  • Rolling circle amplification for signal enhancement.
  • Hybridization-based in situ combinatorial barcoding for large multiplexing.

Main Results:

  • Achieved high detection efficiency and high-throughput gene expression mapping.
  • Validated the method across multiple species.
  • Demonstrated compatibility with orthogonal methods like antibody staining.

Conclusions:

  • The developed method facilitates high-throughput spatially resolved transcriptomics.
  • It offers a valuable tool for developmental and tissue biology studies.
  • An end-to-end computational workflow is provided to support diverse applications.