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Related Concept Videos

RNA-seq03:21

RNA-seq

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 microarray-based...

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autoFISH: a modular toolbox for sequential single-molecule RNA FISH experiments.

Christian Weber1,2, Thomas Defard1,2,3,4,5, Chloé Sturmach1

  • 1Institut Pasteur, Université Paris Cité, Photonic Bio-Imaging, Centre de Ressources et Recherches Technologiques (UTechS-PBIC2RT), Paris, France.

Communications Biology
|April 6, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed autoFISH, an affordable platform for automated single-molecule fluorescence in situ hybridization (smFISH). This accessible system simplifies spatial transcriptomics, making gene expression analysis more widely available for biological discoveries.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Spatial and quantitative detection of RNA molecules is crucial for understanding gene expression, cellular function, and tissue organization.
  • Widespread adoption of automated single-molecule fluorescence in situ hybridization (smFISH) is hindered by high equipment costs and experimental complexity.

Purpose of the Study:

  • To present autoFISH, an affordable and user-friendly platform designed to overcome the barriers associated with automated smFISH.
  • To enable broader accessibility to spatial transcriptomics research through simplified procedures and reduced costs.

Main Methods:

  • Development of an open-source hardware platform with accessible control software and integrated analysis tools.
  • Implementation of both conventional and signal-amplified smFISH protocols.
  • Incorporation of an optimized tissue-clearing method to preserve nuclear structures.

Main Results:

  • The autoFISH system demonstrates broad applicability across multiple cell types and tissue preparations.
  • Validation of the system's reliability and reproducibility in spatial transcriptomics experiments.
  • Significant reduction in costs and technical expertise required for smFISH.

Conclusions:

  • autoFISH offers a practical solution for scaling spatial transcriptomics research.
  • The platform facilitates advancements in cellular and developmental biology by democratizing access to single-molecule detection techniques.
  • This innovation lowers the barrier to entry for researchers interested in gene expression analysis at the single-molecule level.