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A rapid method to screen putative mRNA targets of any known microRNA.

ABSTRACT: BACKGROUND: microRNAs (miRNAs) are a group of regulatory RNAs that regulate gene expression by binding to specific sequences on target mRNAs. However, functional identification of mRNA targets is usually difficult and time consuming. Here we report hybrid-PCR as a new and rapid approach to screen putative mRNA targets in vitro. RESULTS: Fifteen putative target mRNAs for human cytomegalovirus (HCMV) miR-UL112-1, including previously confirmed HCMV IE72, were identified from mRNA-derived cDNAs using hybrid-PCR. Moreover, we randomly validated six different target candidates by luciferase reporter assays, and confirmed that their luciferase activities were down-regulated with co-transfection of HCMV miR-UL112-1. CONCLUSIONS: Our study demonstrated that hybrid-PCR is an effective and rapid approach for screening putative miRNA targets, with much more advantage of simplicity, low cost, and ease of implementation.

SUBMITTER: Huang Y

PROVIDER: S-EPMC3025964 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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A rapid method to screen putative mRNA targets of any known microRNA.

Huang Yujing Y Qi Ying Y Ruan Qiang Q Ma Yanping Y He Rong R Ji Yaohua Y Sun Zhengrong Z

Virology journal 20110111

<h4>Background</h4>microRNAs (miRNAs) are a group of regulatory RNAs that regulate gene expression by binding to specific sequences on target mRNAs. However, functional identification of mRNA targets is usually difficult and time consuming. Here we report hybrid-PCR as a new and rapid approach to screen putative mRNA targets in vitro.<h4>Results</h4>Fifteen putative target mRNAs for human cytomegalovirus (HCMV) miR-UL112-1, including previously confirmed HCMV IE72, were identified from mRNA-deri ...[more]

PMID: 21219658

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Project description:BACKGROUND: South Africa has one of the highest incidences of multidrug-resistant tuberculosis (MDR-TB) in the world. Concomitantly, aminoglycosides are commonly used in this country as a treatment against MDR-TB. To date, at least five mutations are known to confer susceptibility to aminoglycoside-induced hearing loss. The aim of the present study was to develop a rapid screening method to determine whether these mutations are present in the South African population. METHODS: A multiplex method using the SNaPshot technique was used to screen for five mutations in the MT-RNR1 gene: A1555G, C1494T, T1095C, 961delT+C(n) and A827G. A total of 204 South African control samples, comprising 98 Mixed ancestry and 106 Black individuals were screened for the presence of the five mutations. RESULTS: A robust, cost-effective method was developed that detected the presence of all five sequence variants simultaneously. In this pilot study, the A1555G mutation was identified at a frequency of 0.9% in the Black control samples. The 961delT+C(n) variant was present in 6.6% of the Black controls and 2% of the Mixed ancestry controls. The T1095C, C1494T and A827G variants were not identified in any of the study participants. CONCLUSION: The frequency of 0.9% for the A1555G mutation in the Black population in South Africa is of concern given the high incidence of MDR-TB in this particular ethnic group. Future larger studies are warranted to determine the true frequencies of the aminoglycoside deafness mutations in the general South African population. The high frequencies of the 961delT+C(n) variant observed in the controls suggest that this change is a common non-pathogenic polymorphism. This genetic method facilitates the identification of individuals at high risk of developing hearing loss prior to the start of aminoglycoside therapy. This is important in a low-resource country like South Africa where, despite their adverse side-effects, aminoglycosides will continue to be used routinely and are accompanied with very limited or no audiological monitoring.

Project description:BackgroundMicroRNAs (miRs) are small noncoding RNAs that bind to complementary/partially complementary sites in the 3' untranslated regions of target genes to regulate protein production of the target transcript and to induce mRNA degradation or mRNA cleavage. The ability to perform accurate, high-throughput identification of physiologically active miR targets would enable functional characterization of individual miRs. Current target prediction methods include traditional approaches that are based on specific base-pairing rules in the miR's seed region and implementation of cross-species conservation of the target site, and machine learning (ML) methods that explore patterns that contrast true and false miR-mRNA duplexes. However, in the case of the traditional methods research shows that some seed region matches that are conserved are false positives and that some of the experimentally validated target sites are not conserved.ResultsWe present HuMiTar, a computational method for identifying common targets of miRs, which is based on a scoring function that considers base-pairing for both seed and non-seed positions for human miR-mRNA duplexes. Our design shows that certain non-seed miR nucleotides, such as 14, 18, 13, 11, and 17, are characterized by a strong bias towards formation of Watson-Crick pairing. We contrasted HuMiTar with several representative competing methods on two sets of human miR targets and a set of ten glioblastoma oncogenes. Comparison with the two best performing traditional methods, PicTar and TargetScanS, and a representative ML method that considers the non-seed positions, NBmiRTar, shows that HuMiTar predictions include majority of the predictions of the other three methods. At the same time, the proposed method is also capable of finding more true positive targets as a trade-off for an increased number of predictions. Genome-wide predictions show that the proposed method is characterized by 1.99 signal-to-noise ratio and linear, with respect to the length of the mRNA sequence, computational complexity. The ROC analysis shows that HuMiTar obtains results comparable with PicTar, which are characterized by high true positive rates that are coupled with moderate values of false positive rates.ConclusionThe proposed HuMiTar method constitutes a step towards providing an efficient model for studying translational gene regulation by miRs.

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A rapid method to screen putative mRNA targets of any known microRNA.

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A rapid method to screen putative mRNA targets of any known microRNA.

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