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2009 Vienna - European Society of Human Genetics

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Genomics, Genomic technology and Epigenetics<br />

P11.100<br />

Expression Pr<strong>of</strong>iling <strong>of</strong> both miRNAs and mRNA targets using a<br />

novel nan<strong>of</strong>luidic real-time qPCR technology<br />

A. Bond, E. Grigorenko, E. Ortenberg, J. Hurley, J. White, K. Munnelly;<br />

BioTrove, Inc., Woburn, MA, United States.<br />

Previously, pr<strong>of</strong>iling both microRNAs and their mRNA targets was difficult,<br />

time consuming, and involved extensive post-pr<strong>of</strong>iling validation.<br />

Our system allows for easy, rapid and inexpensive quantitation <strong>of</strong> both<br />

miRNA and mRNA targets with no need for validation. The reliability <strong>of</strong><br />

real-time qPCR, the flexibility <strong>of</strong> an array format and novel nan<strong>of</strong>luidics<br />

provide the backbone <strong>of</strong> this elegant system. Using the OpenArray<br />

system, we pr<strong>of</strong>iled RNA from a panel <strong>of</strong> human adult tissue types for a<br />

set <strong>of</strong> well characterized miRNAs. In our second study, total RNA was<br />

obtained from normal tissues and tumor tissues, reverse-transcribed<br />

and loaded on plates preformatted with primer pairs against hundreds<br />

<strong>of</strong> genes that have been found to be differentially expressed in cancer.<br />

This pre-validated qPCR panel covers disparate, but linked pathways<br />

such as DNA repair, angiogenesis, cell adhesion and cell cycle. Using<br />

this nan<strong>of</strong>luidic system we were able to identify genes that consistently<br />

changed expression across cancer types as well as genes differentially<br />

expressed in specific cancers. The OpenArray system allowed us<br />

to concurrently chart both the modulator and the modulated. An analysis<br />

<strong>of</strong> the data provides us with a rich view <strong>of</strong> the complexities <strong>of</strong> gene<br />

expression and further validated our technique. The simple power <strong>of</strong><br />

this technique is that the researcher does not need to further validate<br />

their results with qPCR; they have simultaneously performed both the<br />

discovery and validation phases.<br />

P11.101<br />

Reference materials for genetic diagnostics and HLA-typing<br />

J. Boyle, M. Hawkins, W. Pickering, E. Byrne, E. Gray, P. Metcalfe, R. Hawkins;<br />

National Institute for Biological Standards and Control, South Mimms, Hertfordshire,<br />

United Kingdom.<br />

The National Institute for Biological Standards and Control (NIBSC)<br />

in collaboration with diagnostic laboratories have developed a programme<br />

to generate genetic reference materials (GRMs) as WHO<br />

International Standards and CE-marked In Vitro Diagnostic Controls.<br />

The materials are used for genetic diagnostics, both for genetic disease<br />

and tissue typing (HLA-typing), and are typically positive control<br />

DNA samples <strong>of</strong> known genotype which serve to verify assay, operator<br />

and data tracking performance. The genetic material is sourced from<br />

cell lines established from primary lymphocytes to produce quality-assured<br />

cell banks.<br />

CE-marked HLA-typing panels are produced within the ISO13485<br />

quality system. The HLA-A genotyping panel comprises 24 genomic<br />

DNA samples and provides single-use positive controls in DNA-based<br />

low resolution HLA-A typing for many common alleles in the UK Caucasian<br />

population. The panel has been awarded the CE-mark and is<br />

expected to be available in <strong>2009</strong>. A HLA-DRB1 panel <strong>of</strong> 40 genomic<br />

DNA samples is currently in production.<br />

WHO International Standards <strong>of</strong> genomic DNAs have been produced<br />

for Factor V Leiden, Prothrombin G20210A, Haemophilia A intron 22<br />

inversion and Fragile X syndrome. A genomic DNA GRM for Prader<br />

Willi and Angelman syndromes will be submitted to the WHO or another<br />

international organisation in <strong>2009</strong>. GRMs for other genetic disorders,<br />

including a panel for hereditary non-polyposis colorectal cancer<br />

with genomic DNA deletion samples are planned. NIBSC aims to address<br />

the rapid increase in the numbers <strong>of</strong> tests performed and the<br />

development <strong>of</strong> new technologies by the provision <strong>of</strong> GRMs as a key<br />

tool in successful genetic diagnostics.<br />

P11.102<br />

the Locus Reference Genomic (LRG) DNA sequence format<br />

R. Dalgleish, the GEN2PHEN Consortium, the <strong>European</strong> Bioinformatics Institute<br />

(EBI), the National Center for Biotechnology Information(NCBI);<br />

University <strong>of</strong> Leicester, Leicester, United Kingdom.<br />

A crucial element <strong>of</strong> sequence variant nomenclature is the reference<br />

DNA sequence used to describe the variant. NCBI has established<br />

curated non-redundant reference sequences <strong>of</strong> genomes, transcripts,<br />

proteins and genes (RefSeq & RefSeqGene). However, these are not<br />

ideal for reporting variants in Locus-Specific Databases (LSDBs).<br />

The primary limitation is that the reference DNA sequence might be<br />

revised over time, reflecting current knowledge, but failing to provide a<br />

stable reference for inter-generational genetic diagnoses. Additionally,<br />

there may be several alternatively-spliced transcripts. Furthermore,<br />

legacy exon- and amino-acid-numbering systems may have arisen for<br />

particular genes and be in common use, even though they do not comply<br />

with current variant reporting standards.<br />

To address these limitations, we have developed a new sequence format<br />

known as Locus Reference Genomic (LRG) that will have both<br />

locked and updatable sections.<br />

The locked section will primarily comprise:<br />

• The DNA sequence<br />

• Coordinates <strong>of</strong> all identified exons<br />

• Details <strong>of</strong> coding transcripts and their conceptual translation<br />

The updatable section will primarily comprise:<br />

• Coordinates and other information to map a LRG onto the current<br />

human genome build<br />

• The exon-numbering scheme<br />

• Details <strong>of</strong> legacy DNA reference sequences, RefSeq and RefSeq-<br />

Gene sequences<br />

• Details <strong>of</strong> legacy exon- & amino-acid-numbering systems<br />

• Chromosome number<br />

• Known sequence variants<br />

• Audit data for each feature<br />

Details <strong>of</strong> LRGs, which are implemented in XML, accompanied by<br />

sample sequences can be found at http://www.lrg-sequence.org<br />

Acknowledgements: GEN2PHEN is funded by the <strong>European</strong> Community’s<br />

Seventh Framework Programme (FP7/2007-2013) under grant<br />

agreement 200754.<br />

P11.103<br />

Dual luciferase reporter assay system: limitation <strong>of</strong> its<br />

interpretation<br />

L. Grodecka 1 , H. Grombirikova 1 , B. Ravcukova 1 , J. Litzman 2 , T. Freiberger 1 ;<br />

1 Molecular <strong>Genetics</strong> Laboratory, CKTCH, Brno, Czech Republic, 2 Institute <strong>of</strong><br />

Clinical Immunology and Allergology, St. Anne’s University Hospital, Brno,<br />

Czech Republic.<br />

Genetic reporter systems are popular tools for studying many processes<br />

that take place in eukaryotic cells, e.g. transciriptional regulation,<br />

mRNA processing, etc. Usually, dual reporter enzymes, an experimantal<br />

reporter and a normalizing standard, are used in one experiment to<br />

minimize an interassay variation caused by differences in transfection<br />

efficiency and cell viability. Consequently, the results are expressed<br />

as the reporter enzyme activity normalized to the activity <strong>of</strong> internal<br />

standard. Assuming that the same amount <strong>of</strong> reporter genes is always<br />

used in one experiment, the ratio <strong>of</strong> its expression (and thus ratio <strong>of</strong><br />

enzyme activities) should be a constant. No correlation is supposed<br />

between the ratio <strong>of</strong> reporter activities and the number <strong>of</strong> transfected<br />

cells or the activity <strong>of</strong> the reporters. However, in our experiment, there<br />

is a correlation between the ratio <strong>of</strong> reporter activities (luminescence<br />

<strong>of</strong> different luciferases) and the experimental reporter activity. Using<br />

one mixture <strong>of</strong> reporter and standard gene contructs for transfection <strong>of</strong><br />

different amounts <strong>of</strong> cells, we obtained ratios <strong>of</strong> luciferases activities<br />

strongly correlated to the firefly luciferase activity (r = 0,84; p < 0,001).<br />

This effect was specific for the particular construct since neither the<br />

construct with shorter insert <strong>of</strong> the same type nor the reporter genecontaining<br />

plasmid without any insert showed this effect. We speculate<br />

that some specific expression activator could induce such non-standard<br />

outcomes. These results clearly indicate that the reporter gene<br />

assays data should always be evaluated with care.<br />

This study was supported by grant <strong>of</strong> IGA MZ CR No. NR 9192-3.<br />

P11.104<br />

identifying Users and contributors on the Biomedical internet<br />

G. A. Thorisson, P. Burton, A. J. Brookes;<br />

University <strong>of</strong> Leicester, Leicester, United Kingdom.<br />

A number <strong>of</strong> ostensibly separate initiatives have begun considering<br />

the risks, benefits, and practicalities <strong>of</strong> unambiguously identifying researchers<br />

as they use and contribute to biomedical data sources on<br />

the Internet. The GEN2PHEN project (http://www.gen2phen.org) is<br />

one such initiative, given its general aim <strong>of</strong> helping to unify human<br />

and model organism genetic variation databases towards increasingly<br />

holistic views into Genotype-To-Phenotype (G2P) information. More<br />

specifically, the GEN2PHEN project considers researcher identification<br />

to be an absolutely central part <strong>of</strong> how biomedical databasing, and<br />

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