| Literature DB >> 22035854 |
Hui Ling1, Wei Zhang, George A Calin.
Abstract
Naturally occurring microRNAs (miRNAs), small non-coding RNAs of 19 to 24 nucleotides (nt), are encoded in the genomes of invertebrates, vertebrates, and plants. miRNAs act as regulators of gene expression during development and differentiation at the transcriptional, posttranscriptional, and/or translational levels, although most target genes are still elusive. Many miRNAs are conserved in sequence between distantly related organisms, suggesting that these molecules participate in essential processes. In this review, we present principles related to the basic and translational research that has emerged in the last decade, a period that can be truly considered the "miRNA revolution" in molecular oncology. These principles include the regulation mechanism of miRNA expression, functions of miRNAs in cancers, diagnostic values and therapeutic potentials of miRNAs. Furthermore, we present a compendium of information about the main miRNAs that have been identified in the last several years as playing important roles in cancers. Also, we orient the reader to several additional reviews that may provide a deeper understanding of this new and exciting field of research.Entities:
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Year: 2011 PMID: 22035854 PMCID: PMC4013296 DOI: 10.5732/cjc.011.10243
Source DB: PubMed Journal: Chin J Cancer ISSN: 1944-446X
Main microRNA-profiling technologies used at the time of this writing[12]
| Type | Principle | Advantages | Disadvantages |
| miRNA microarray | miRNA chips are fabricated on polymer-coated surface of glass slides with mature miRNA gene-specific oligonucleotide probes. The chemical covalent-immobilized probes hybridize with biotin-labeled cDNA targets. The signal of the probe-target complex is amplified by staining of Streptavidin Alexa 647 conjugates that affinity bind to biotins of the probe-target complex and are detected by laser scanning. | High-throughput miRNA expression genome-wide profiling is concomitantly achieved on large sample collections processed in parallel using standardized procedures and conditions for data comparison. | Probes on solid substrates affect target hybridization kinetics and discrimination in detecting differences between the 5′ and 3′ ends of highly similar miRNAs in tissues. The dynamic range of microarray data is relatively compressed, about 2.5 orders of magnitude compared with other techniques. |
| Bead-based technology | Polystyrene beads coated with antisense oligonucleotide probes hybridize with biotin-labeled PCR amplicon dsDNA as targets. Staining with Streptavidin phycoerythrin is followed by bead flow Cytometry for signal detection. | Solution-phase probe/target hybridization kinetics, which allows for high discrimination among closely related miRNA sequences | Low-throughput profiling for subsets of miRNA to be analyzed per experiment. More bias could be introduced in sample preparation by enrichment, adaptor ligation, and PCR steps. Competitive hybridization between probes and targets of double-stranded PCR amplicons occurs. |
| Stem-loop qRT-PCR for mature miRNA | Stem-loop primer cDNA reverse transcription followed by quantitative TaqMan-based real-time PCR | High sensitivity and specificity; reliable quantitative results, useful in confirming microarray results; low cost | Low-throughput profiling for only a subset of miRNAs |
| qRT-PCR for precursor miRNA | Precursor gene-specific primers cDNA synthesis followed by quantitative realtime PCR | High sensitivity; high specificity; quantitative data | Low-throughput profiling for only a specific subset of miRNAs |
| Next generation sequencer | Genome-wide sequencing of size-selected small RNA | Ultra-throughput for miRNA and small ncRNA profiling and discovery | Data analysis is challenging. |
miRNA, microRNA; cDNA, complementary DNA; PCR, polymerase chain reaction; dsDNA, double-stranded DNA; qRT-PCR, quantitative realtime PCR.
MicroRNA deregulation in human cancers[13]
| Human microRNA | Putative function/involved pathways | Deregulation in tumors | Molecular mechanisms and targets | Diagnostic and prognostic markers |
| Antitumorigenic: | -Down-regulation in lung, breast, gastric, ovarian, prostate, and colon cancers, CLL, and leiomyomas | Molecular mechanism: | Poor prognosis: | |
| Oncogenic: | -Hypomethylation of | Molecular mechanism: | ||
| Antitumorigenic: | -Down-regulation in CLL, DLBCLs, multiple myeloma, pituitary adenoma, and prostate and pancreatic cancers | Molecular mechanism: | Poor prognosis: | |
| Oncogenic: | -Overexpression in lung cancers and lymphomas | Molecular mechanism: | ||
| Antitumorigenic: | -LOH of | Molecular mechanism: | ||
| Oncogenic: | -Overexpression in glioblastomas and breast, lung, prostate, colon, gastric, esophageal, and cervical carcinomas, uterine leiomyosarcoma, and DLBCL | Molecular mechanism: | Poor prognosis: | |
| Antitumorigenic: | -Down-regulation in CLL and colon, breast, and lung cancers and in cholangiocarcinoma tumor models (KMCH) | Molecular mechanism: | Poor prognosis: | |
| Antitumorigenic: | -Down-regulation in pancreatic cancer cell lines | Molecular mechanism: | ||
| Antitumorigenic: | -Down-regulation in colon adenomas and carcinomas, breast and lung cancers, cervical cancer, and B-cell malignancies | Molecular mechanism: | ||
| Oncogenic: | -Overexpression in pediatric BL, Hodgkin's disease, primary mediastinal lymphomas, and DLBCL and in breast, lung, colon, and pancreatic cancers | Molecular mechanism: | Poor prognosis: | |
| Oncogenic/Antitumorigenic: | -Overexpression in breast, pancreatic, and prostate cancers | Molecular mechanism: | Poor prognosis: | |
| Oncogenic: | -Overexpression in CLL, thyroid papillary carcinoma, and glioblastoma | Molecular Mechanism: |
CLL, chronic lymphocytic leukemia; AML, acute myelogenous leukemia; NF2, neurofibromatosis type 2; ncRNA, non-coding RNA; DLBCL, diffuse large B-cell lymphoma; B-CLL, B-cell CLL; NZB, New Zealand black; LOH, loss of heterozygosity; 3′-UTR, 3′-untranslated region; E2F, E2 transcription factor; BL, bone lymphocyte; TRAIL, tumor necrosis factor-related apoptosis-inducing ligand; TGF-β, transforming growth factor beta.