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A Laser Capture Microdissection Protocol That Yields High Quality RNA from Fresh-frozen Mouse Bones
Published on: September 16, 2019
Histological staining methods preparatory to laser capture microdissection significantly affect the integrity of the
Hongyang Wang1, James D Owens, Joanna H Shih
1Laboratory of Genetics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Background:
Gene expression profiling by microarray analysis of cells enriched by laser capture microdissection (LCM) faces several technical challenges. Frozen sections yield higher quality RNA than paraffin-imbedded sections, but even with frozen sections, the staining methods used for histological identification of cells of interest could still damage the mRNA in the cells. To study the contribution of staining methods to degradation of results from gene expression profiling of LCM samples, we subjected pellets of the mouse plasma cell tumor cell line TEPC 1165 to direct RNA extraction and to parallel frozen sectioning for LCM and subsequent RNA extraction. We used microarray hybridization analysis to compare gene expression profiles of RNA from cell pellets with gene expression profiles of RNA from frozen sections that had been stained with hematoxylin and eosin (H&E), Nissl Stain (NS), and for immunofluorescence (IF) as well as with the plasma cell-revealing methyl green pyronin (MGP) stain. All RNAs were amplified with two rounds of T7-based in vitro transcription and analyzed by two-color expression analysis on 10-K cDNA microarrays.
Results:
The MGP-stained samples showed the least introduction of mRNA loss, followed by H&E and immunofluorescence. Nissl staining was significantly more detrimental to gene expression profiles, presumably owing to an aqueous step in which RNA may have been damaged by endogenous or exogenous RNAases.
Conclusion:
RNA damage can occur during the staining steps preparatory to laser capture microdissection, with the consequence of loss of representation of certain genes in microarray hybridization analysis. Inclusion of RNAase inhibitor in aqueous staining solutions appears to be important in protecting RNA from loss of gene transcripts.
Insights
Staining methods for laser capture microdissection (LCM) can damage RNA, affecting gene expression profiling results. Methyl green pyronin (MGP) stain caused minimal RNA loss, while Nissl stain was most detrimental.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- Laser capture microdissection (LCM) is crucial for gene expression profiling but faces challenges with RNA preservation.
- Histological staining methods used in LCM can degrade messenger RNA (mRNA), impacting downstream analyses.
- Optimizing staining protocols is essential for accurate gene expression profiling of microdissected cells.
Purpose of the Study:
- To evaluate the impact of different staining techniques on RNA integrity and gene expression profiles obtained from LCM samples.
- To compare the effectiveness of hematoxylin and eosin (H&E), Nissl Stain (NS), immunofluorescence (IF), and methyl green pyronin (MGP) stains on RNA quality.
Main Methods:
- Mouse plasma cell tumor line TEPC 1165 cells were used for direct RNA extraction and LCM.
- Frozen sections were stained with H&E, NS, IF, and MGP prior to RNA extraction and LCM.
- Gene expression profiles were analyzed using microarray hybridization after RNA amplification via T7-based in vitro transcription.
Main Results:
- Methyl green pyronin (MGP) staining resulted in the least mRNA loss.
- Hematoxylin and eosin (H&E) and immunofluorescence (IF) showed moderate mRNA loss.
- Nissl staining (NS) significantly degraded gene expression profiles, likely due to RNAase activity in aqueous solutions.
Conclusions:
- Staining procedures prior to LCM can cause RNA damage, leading to inaccurate gene representation in microarray analysis.
- Incorporating RNAase inhibitors into aqueous staining solutions is recommended to protect RNA integrity.
- Careful selection and optimization of staining methods are critical for reliable gene expression profiling of LCM-derived samples.
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