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Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq
Published on: August 25, 2020
RNAlater-compatible protocol for nuclei isolation from radical prostatectomy prostate cancer resections, enabling
Magdalena Julita Krystkiewicz-Orzechowska1, Dorota Anusewicz2, Katarzyna Kośla2
1Department of Molecular Carcinogenesis, Medical University of Łódź, Łódź, Poland. magdalena.orzechowska@umed.lodz.pl.
We developed a streamlined protocol for single-nucleus RNA sequencing (snRNA-seq) on prostate cancer tissues preserved in RNAlater. This method efficiently isolates nuclei for robust transcriptomic analysis of clinical samples.
Area of Science:
- Molecular Biology
- Genomics
- Oncology
Background:
- Prostate cancer (PC) research benefits from single-cell genomics.
- Preservation of clinical samples using RNAlater presents challenges for nuclear isolation.
- Existing methods for nucleus isolation can be complex and time-consuming.
Purpose of the Study:
- To optimize a protocol for single-nucleus isolation from RNAlater-preserved prostate cancer resections.
- To enable robust and reproducible single-nucleus RNA sequencing (snRNA-seq) on these samples.
- To expand the utility of single-cell genomics in translational cancer research.
Main Methods:
- A streamlined protocol using bead-mill homogenization and high-salt lysis for nucleus suspension.
- Elimination of the need for Fluorescence-Activated Cell Sorting (FACS) or density-gradient purification.
- Generation of high-quality snRNA-seq libraries with minimal ambient RNA contamination.
Main Results:
- Successful isolation of nuclei from RNAlater-preserved prostate cancer specimens.
- High-quality sequencing libraries with Q30 scores ≥90% were obtained.
- Identification of eight distinct cellular compartments, including luminal, stromal, and immune cells, from 3,365 nuclei.
Conclusions:
- The optimized protocol enables robust snRNA-seq from RNAlater-preserved prostate cancer samples.
- This method facilitates routine analysis of clinical specimens.
- The approach broadens the application of single-cell genomics in translational prostate cancer research.
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