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Contents - College of Medical and Dental Sciences - University of ...

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The 11 th International Workshop on KSHV & Related Agents, Birmingham, UK<br />

Poster Session Abstract P10<br />

ANALYSIS METHODS FOR THE RELIABLE PREDICTION OF VIRUS AND HOST<br />

MIRNA EXPRESSION FROM THE AGILENT MIRNA MICROARRAY<br />

Eve Coulter, Dan Frampton, Paul Kellam<br />

MRC Centre for <strong>Medical</strong> Molecular Virology, Department <strong>of</strong> Infection, UCL, 46 Clevel<strong>and</strong><br />

Street, London, W1T 4JF<br />

Abstract<br />

MicroRNAs play an important role in the down-regulation <strong>of</strong> gene expression by blocking<br />

translation <strong>of</strong> their mRNA targets. Hundreds <strong>of</strong> miRNAs have been identified within the<br />

human genome, many <strong>of</strong> which are predicted to be involved in the regulation <strong>of</strong> major<br />

cellular processes such as cell development <strong>and</strong> apoptosis. It is thought their abnormal<br />

expression may contribute to cancer development <strong>and</strong> proliferation. In addition, miRNAs<br />

have been shown to be present in every herpesvirus examined to date suggesting they<br />

play a similar role in viral gene regulation.<br />

The development <strong>of</strong> suitable miRNA array technology allows us to detect the presence or<br />

absence <strong>of</strong> both human <strong>and</strong> viral miRNAs <strong>and</strong> to use miRNA pr<strong>of</strong>iles to differentiate<br />

between virus-infected <strong>and</strong> non-infected cell types. However, there is some uncertainty<br />

over the design <strong>of</strong> reliable probes for viral miRNAs, with several different probes being<br />

used to measure the level expression <strong>of</strong> a given miRNA. We have used the Agilent miR<br />

array platform <strong>and</strong> a panel <strong>of</strong> herpesvirus positive B-cell lymphomas to develop an<br />

accurate data analysis method which discards unreliable probes <strong>and</strong> show it is better able<br />

to discriminate between KSHV- <strong>and</strong> EBV-infected B-cell tumour cell lines than the<br />

st<strong>and</strong>ard Agilent method. Statistical validation was performed using ROC analysis <strong>of</strong> a<br />

large dataset <strong>of</strong> B cell tumour cell line miRNA arrays <strong>and</strong> predicted differentially<br />

expressed miRNAs confirmed by real time PCR.<br />

Presenting author Email: d.frampton@ucl.ac.uk<br />

107

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