Unknown,Transcriptomics,Genomics,Proteomics

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Multicolor miRNA fluorescence in situ hybridization for tumor differential diagnosis

ABSTRACT: 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

ORGANISM(S): Homo sapiens

SUBMITTER: Harriet Feilotter

PROVIDER: E-GEOD-45146 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:In this study we performed a systematic evaluation of functional miRNA-mRNA interactions associated with the aggressiveness of breast cancer cells using a combination of integrated miRNA and mRNA expression profiling, bioinformatics prediction, and functional assays. Analysis of the miRNA expression identified 11 miRNAs that were differentially expressed, including 7 down-regulated (miR-200c, miR-205, miR-203, miR-141, miR-34a, miR-183, and miR-375) and 4 up-regulated miRNAs (miR-146a, miR-138, miR-125b1 and miR-100), in aggressive cell lines when compared to normal and less aggressive cell lines. Transient overexpression of miR-200c, miR-205, and miR-375 in MDA-MB-231 cells led to the inhibition of cell migration and invasion. The integrated analysis of miRNA and mRNA expression identified 35 known and novel target genes of miR-200c, miR-205, and mir-375, including CFL2, LAMC1, TIMP2, ZEB1, CDH11, PRKCA, PTPRJ, PTPRM, LDHB, and SEC23A. Surprisingly, the majority of these genes (27 genes) were target genes of miR-200c, suggesting that it plays a more important role in regulating the aggressiveness of breast cancer cells. We characterized one of the target genes of miR-200c, CFL2, and demonstrated that CFL2 is overexpressed in aggressive breast cancer cell lines and can be significantly down-regulated by exogenous miR-200c. Tissue microarray analysis further revealed that CFL2 expression in primary breast cancer tissue correlated with tumor grade. To our knowledge, this study is the first systematic screening of functional miRNA target genes in aggressive breast cancer cells. The results obtained from this study may improve our understanding of the role of these candidate miRNAs and their target genes in relation to breast cancer aggressiveness and ultimately lead to the identification of novel biomarkers associated with prognosis. Affymetrix miRNA 1.0 arrays were performed according to the manufacturer's directions on small RNA extracted from 12 breast cancer cell lines including 4 aggressive cell lines, 6 less aggressive cell lines and 2 imortalized breast epithelium cell lines

Project description:In this study we performed a systematic evaluation of functional miRNA-mRNA interactions associated with the aggressiveness of breast cancer cells using a combination of integrated miRNA and mRNA expression profiling, bioinformatics prediction, and functional assays. Analysis of the miRNA expression identified 11 miRNAs that were differentially expressed, including 7 down-regulated (miR-200c, miR-205, miR-203, miR-141, miR-34a, miR-183, and miR-375) and 4 up-regulated miRNAs (miR-146a, miR-138, miR-125b1 and miR-100), in aggressive cell lines when compared to normal and less aggressive cell lines. Transient overexpression of miR-200c, miR-205, and miR-375 in MDA-MB-231 cells led to the inhibition of cell migration and invasion. The integrated analysis of miRNA and mRNA expression identified 35 known and novel target genes of miR-200c, miR-205, and mir-375, including CFL2, LAMC1, TIMP2, ZEB1, CDH11, PRKCA, PTPRJ, PTPRM, LDHB, and SEC23A. Surprisingly, the majority of these genes (27 genes) were target genes of miR-200c, suggesting that it plays a more important role in regulating the aggressiveness of breast cancer cells. We characterized one of the target genes of miR-200c, CFL2, and demonstrated that CFL2 is overexpressed in aggressive breast cancer cell lines and can be significantly down-regulated by exogenous miR-200c. Tissue microarray analysis further revealed that CFL2 expression in primary breast cancer tissue correlated with tumor grade. To our knowledge, this study is the first systematic screening of functional miRNA target genes in aggressive breast cancer cells. The results obtained from this study may improve our understanding of the role of these candidate miRNAs and their target genes in relation to breast cancer aggressiveness and ultimately lead to the identification of novel biomarkers associated with prognosis. Affymetrix Gene 1.0 ST arrays were performed according to the manufacturer's directions on RNA extracted from breast cancer cell lines which are treated with miRNA mimic

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Multicolor miRNA fluorescence in situ hybridization for tumor differential diagnosis

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