Related Experiment Video
Updated: Mar 29, 2026

07:42
Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis
Published on: November 26, 2015
14.0K
Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis
Giovanni Lugli1, Yachana Kataria1, Zachary Richards1
1Department of Pathology, University of Illinois at Chicago.
Journal of Visualized Experiments : Jove
|December 10, 2015
Summary
This study demonstrates that RNA can be successfully isolated from laser-capture micro-dissected (LCM) human prostatic epithelium. This method enables accurate downstream gene expression analysis, avoiding stromal bias in cancer research.
Area of Science:
- Urology
- Molecular Biology
- Cancer Research
Background:
- Prostate tissue comprises diverse cell types, including stromal and epithelial cells.
- Prostate cancer alters the ratio of these cell types, complicating molecular analysis.
- Existing gene expression studies often lack cell-type specificity, introducing stromal bias.
Purpose of the Study:
- To establish a protocol for isolating RNA from laser-capture micro-dissected (LCM) human prostatic epithelium.
- To enable accurate downstream gene expression studies by separating epithelial cells from stromal contamination.
- To overcome the limitations of bulk tissue analysis in prostate cancer research.
Main Methods:
- Laser-capture micro-dissection (LCM) to physically isolate epithelial cells from prostate tissue sections.
- RNA isolation from LCM-collected epithelial specimens.
- Validation of RNA integrity for downstream applications.
Main Results:
- Successful isolation of RNA from LCM-human prostatic epithelium.
- Demonstration of RNA suitability for gene expression studies like RT-qPCR and RNAseq.
- Mitigation of stromal bias in molecular analyses of prostate epithelium.
Conclusions:
- LCM is an effective technique for isolating pure epithelial cell populations from the prostate.
- This protocol facilitates precise molecular profiling of prostatic epithelium in cancer research.
- Accurate gene expression studies are achievable using RNA from LCM-collected samples.

