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Working with Human Tissues for Translational Cancer Research
Published on: November 26, 2015
Assessing the effects of a 3D pathology tissue-processing workflow on downstream molecular analyses
Elena Baraznenok1,2,3, Huai-Ching Hsieh4,5, Lydia Lan2,6
1Department of Bioengineering, University of Washington, Seattle, WA, USA.
Non-destructive 3D pathology enhances tissue analysis by preserving samples for molecular studies. This study confirms that 3D pathology protocols maintain DNA, RNA, and protein integrity for downstream molecular assays.
Area of Science:
- Biomedical Imaging
- Pathology
- Molecular Biology
Background:
- Standard 2D histopathology limits tissue sampling and morphological context.
- Non-destructive 3D pathology offers volumetric data and sample preservation for future analyses.
- The impact of 3D pathology on biomolecules for downstream assays is not well understood.
Purpose of the Study:
- To evaluate the effect of a 3D pathology protocol on DNA, RNA, and protein integrity.
- To assess the compatibility of 3D pathology processed tissues with downstream molecular assays.
- To determine if 3D pathology can be combined with molecular analyses.
Main Methods:
- A 3D pathology protocol (deparaffinization, staining, optical clearing, light-sheet microscopy) was applied to FFPE cancer specimens.
- Tissues were re-embedded and compared with non-processed controls.
- DNA/RNA extraction, quality assessment, PCR, RT-qPCR, Sanger sequencing, RNA sequencing, and IHC were performed.
Main Results:
- A slight decrease in DNA/RNA yield and increased fragmentation were observed, but amplifiability was largely preserved.
- Sanger sequencing confirmed accurate DNA sequences, and RNA sequencing showed largely unchanged transcriptomic profiles.
- Immunohistochemistry (IHC) staining for common biomarkers yielded comparable results, indicating good protein preservation.
Conclusions:
- The 3D pathology workflow minimally impacts DNA, RNA, and protein integrity.
- 3D pathology is compatible with downstream molecular analyses, including sequencing and IHC.
- This study demonstrates the feasibility of integrating 3D pathology with molecular applications for comprehensive cancer analysis.
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