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Author Spotlight: Enhancing Drug Discovery - Development of Automated, Standardized Protocols for Nuclei Extraction from Frozen Tissues
Published on: July 28, 2023
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Optimized nucleus isolation protocol from frozen mouse tissues for single nucleus RNA sequencing application.
Marie-Albane Minati1, Angeline Fages1, Nicolas Dauguet1,2
1de Duve Institute, Université Catholique de Louvain, Brussels, Belgium.
Frontiers in Cell and Developmental Biology
|October 16, 2023
Summary
This study presents a new, kit-free protocol for isolating nuclei from frozen tissues, enabling single nucleus RNA sequencing on challenging samples like placenta and pancreas.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- Single cell RNA sequencing (scRNA-seq) has revolutionized biological research.
- Limitations exist, particularly with fresh tissue accessibility and sample integrity during dissociation.
- Single nucleus RNA sequencing (snRNA-seq) offers an alternative using frozen samples.
Purpose of the Study:
- To develop an efficient and adaptable nucleus isolation protocol for frozen complex tissues.
- To enable snRNA-seq applications on samples unsuitable for traditional methods.
Main Methods:
- Developed a protocol combining enzymatic and manual dissociation for nucleus isolation from frozen murine placenta and pancreas.
- Utilized standard laboratory reagents and equipment, avoiding commercial kits.
- Nuclei were sorted using flow cytometry prior to sequencing.
Main Results:
- The protocol successfully isolated nuclei from frozen placenta and pancreas.
- The method is easy to implement, cost-effective, and adaptable to various tissues and species.
- Validated efficiency for snRNA-seq on complex samples resistant to standard lysis.
Conclusions:
- This novel nucleus isolation protocol overcomes limitations of scRNA-seq for frozen and sensitive tissues.
- It expands the applicability of snRNA-seq to retrospective studies and challenging sample types like fibrotic or fatty tissues.
- Facilitates broader research in genomics and molecular biology.

