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E-GEOD-45146 GSE45146 transcription profiling by array Homo sapiens

Multicolor miRNA fluorescence in situ hybridization for tumor differential diagnosis

·发布 2013年3月14日 ·更新 2014年6月2日
8
样本数
8
实验数
1
芯片平台
实验描述

miRNAs are excellent tumor biomarkers because of their cell-type specificity and abundance. However, many miRNA detection methods, such as real-time (RT)-PCR, obliterate valuable visuospatial information in tissue samples. To enable miRNA visualization in formalin-fixed paraffin-embedded (FFPE) tissues, we developed multicolor miRNA fluorescence in situ hybridization (FISH). For proof-of-concept, we differentiated two skin tumors, namely Basal cell carcinoma (BCC) and Merkel cell carcinoma (MCC), with overlapping histologic features but distinct cellular origins. Using sequencing-based miRNA profiling and discriminant analysis, we identified tumor-specific miRNAs (miR-205 and miR-375) in BCC and MCC respectively. We addressed three major shortcomings in miRNA FISH, identifying optimal conditions for miRNA fixation and rRNA retention using model compounds and HPLC analyses, enhancing signal amplification and detection by increasing probe-hapten linker lengths, and improving probe specificity using shortened probes with minimal rRNA sequence complementarity. We validated our method on 4 BCC and 12 MCC tumors. Amplified miR-205 and miR-375 signals were normalized against directly detectable reference rRNA signals. Tumors were classified using pre-defined cut-off values; all were correctly identified in blinded analysis. We established a reliable miRNA FISH technique for parallel visualization of differentially expressed miRNAs in FFPE tumor tissues 6 MCC samples 2 normal skin samples were profiled with Agilent miRNA array platform

芯片平台
A-GEOD-8227
Agilent-019118 Human miRNA Microarray 2.0 G4470B (GeneView version)(8 例)
样本属性
Organism
Homo sapiens
tissue type
FFPE MCC tissue, FFPE normal skin tissue
实验信息
登记号
E-GEOD-45146
GEO 编号
GSE45146
实验类型
transcription profiling by array
物种
Homo sapiens
发布日期
2013年3月14日
更新日期
2014年6月2日
提交者
Neil Renwick、 Pavol Cekan、 Harriet Feilotter
分析服务
分析服务

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