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Hi-M: A Multiplex Oligopaint FISH Method to Capture Chromatin Conformations In Situ and Accompanying Open-Source
Jean-Bernard Fiche1, Marie Schaeffer1, Christophe Houbron1
1Centre de Biologie Structurale, Univ Montpellier, CNRS UMR5048, INSERM U1054, Montpellier, France.
Methods in Molecular Biology (Clifton, N.J.)
|March 19, 2024
Summary
We present Hi-M, a new technology for simultaneously observing 3D chromatin structure and transcription in single cells. This method allows detailed visualization of DNA organization and its relation to gene expression.
Area of Science:
- Molecular Biology
- Genomics
- Cell Biology
Background:
- Understanding the relationship between 3D chromatin organization and gene transcription is crucial for deciphering cellular processes.
- Existing technologies often lack the ability to simultaneously capture both spatial genome architecture and transcriptional activity at a single-cell level.
Purpose of the Study:
- To introduce and provide a comprehensive guide for the innovative Hi-M technology.
- To enable simultaneous observation of three-dimensional (3D) chromatin structure and transcription in single cells.
- To detail the workflow from probe creation to data acquisition using open-source software.
Main Methods:
- The Hi-M (High-throughput Imaging of multi-omic loci) technology utilizes sequential tagging for 3D visualization and precise localization of genomic regions.
- RNA expression is simultaneously measured within individual cells.
- The process involves specific probe creation, sample preparation, labeling, and acquisition using the Qudi-HiM open-source software package that controls a robotic microscope.
Main Results:
- The study provides a detailed protocol for implementing the Hi-M technique.
- The Qudi-HiM software facilitates the entire acquisition procedure, ensuring precise data collection.
- This enables the simultaneous mapping of genomic loci and gene expression within single cells.
Conclusions:
- Hi-M is an innovative technology that bridges the gap between 3D genome organization and gene expression analysis in single cells.
- The provided guide and open-source software lower the barrier for researchers to adopt this powerful technique.
- This advancement is critical for a deeper understanding of genome regulation and cellular function.

