2008 Barcelona - European Society of Human Genetics
2008 Barcelona - European Society of Human Genetics
2008 Barcelona - European Society of Human Genetics
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Genomics, technology, bioinformatics 0<br />
will present data from enrichment studies <strong>of</strong> the human genome <strong>of</strong><br />
sequence areas related to different diseases . The paired-end method<br />
for the technologies provides additional information about large scale<br />
variations in the genome allowing an accuracy approaching classical<br />
Sanger sequencing . Comparison <strong>of</strong> the next-gen sequencing data to<br />
a reference genome provides a mapping that takes advantage <strong>of</strong> the<br />
high coverage to identify SNPs and other structural differences and<br />
variations . The results can be imported into other assembly programs<br />
(e .g . SeqMan <strong>of</strong> the Lasergene suite from DNASTAR Inc ., USA) .<br />
P08.59<br />
A novel approach for miRNA pr<strong>of</strong>iling and discovery using<br />
massively parallel ligation-based dibase sequencing technology<br />
R. R. Samaha, C. Barbacioru, J. Gu, S. Kuersten, R. Setterquist, M. Barker, R.<br />
Wicki;<br />
Applied Biosystems, Foster City, CA, United States.<br />
Next-generation sequencing (NGS) platforms produce 10-100’s <strong>of</strong> millions<br />
<strong>of</strong> short reads (25-50bp) in a single run which makes them particularly<br />
suited for tag counting application including gene expression<br />
pr<strong>of</strong>iling. With Applied Biosystem’s new platform, sequencing is carried<br />
out via dibase sequential rounds <strong>of</strong> ligation with high fidelity and high<br />
read quality . Using a newly developed library protocol which requires<br />
low sample input and results in sequence ready samples in less than<br />
a day, we explored the expression pr<strong>of</strong>iles <strong>of</strong> small non-coding RNAs<br />
in two normal tissues, using the SOLiD system . The frequency and<br />
distribution <strong>of</strong> miRNAs, isomiRNAs and miRNA* were evaluated and<br />
the fold changes generated from these tissues were compared to<br />
those <strong>of</strong> 380 TaqMan® miRNA assays. Significant correlation levels<br />
were observed confirming the applicability <strong>of</strong> this approach for small<br />
RNAs expression pr<strong>of</strong>iling. Moreover, more than 3000 potentially novel<br />
miRNAs or non-coding RNAs were discovered . These potential novel<br />
small RNAs are currently being further validated .<br />
This new library approach coupled with the SOLiD System provides<br />
a high throughput method for digital gene expression that enables the<br />
discovery <strong>of</strong> novel small ncRNAs and miRNAs as well as pr<strong>of</strong>iling their<br />
expression levels, without the probe bias <strong>of</strong> microarrays . Because <strong>of</strong><br />
the SOLiD System’s throughput which is greater than 100M reads<br />
per slide, it is particularly suited for the analysis <strong>of</strong> gene expression<br />
being able to deliver the dynamic range required to detect genes expressed<br />
at very low levels and to accurately measure fold changes at<br />
the same low expression levels .<br />
P08.60<br />
cloning and construction <strong>of</strong> mouse PEP cDNA chimera with<br />
EGFP under regulation <strong>of</strong> cmV promoter<br />
M. Ostadsharif1,2 , K. Ghaedi2,3 , S. Tanhaei2 , K. Karbalaei2 , M. Nasr-e-Esfahani2<br />
;<br />
1Islamic Azad University, Research& science campus, Tehran, Islamic Republic<br />
<strong>of</strong> Iran, 2Royan,Isfahan Research Campus, Isfahan, Islamic Republic <strong>of</strong> Iran,<br />
3Biology Dept., School <strong>of</strong> Sciences, The University <strong>of</strong> Isfahan, Isfahan, Islamic<br />
Republic <strong>of</strong> Iran.<br />
Peroxisomes are tiny organelles in almost all eukaryotic cells . They<br />
exhibit various functions including β-oxidation <strong>of</strong> very long chain fatty<br />
acids and metabolite peroxidation which is essential for the cell function<br />
and differentiation . We have cloned (Peroxisomal Protein) PEP<br />
cDNA in a mammalian expression vector in a chimeric cDNA type,<br />
encompassing PEP with EGFP cDNA . Amino acid alignment analysis<br />
revealed two hydrophobic domains . The First Comprises twenty amino<br />
acid residues between 12-31 residues and the second one, is located<br />
at 152-169 residues . There is a tripeptide (SKI) at carboxy terminus responsible<br />
for sorting <strong>of</strong> this protein to the matrix <strong>of</strong> peroxisome . There<br />
is a fibronectin type III domain between residues 31-114 in pep. In order<br />
to see the importance <strong>of</strong> above sorting signal, we performed a sitedirected<br />
mutagenesis to delete SKI tripeptide. Amplified Pep cDNAs<br />
either containing SKI or deleted ones were constructed downstream<br />
<strong>of</strong> EGFP cDNA under regulation <strong>of</strong> CMV promoter in pEGFP-C1 vector<br />
and were send for sequence . Transfection <strong>of</strong> plasmids containing<br />
chimera <strong>of</strong> EGFP-PEP cDNAs in to the CHO-K1 showed several punctuate<br />
structures presumably peroxisomes while, SKI deletion showed<br />
a cytosolic pattern like EGFP-C1 . Taken together, these data strongly<br />
suggest that SKI, which is located at the C- terminus <strong>of</strong> protein is required<br />
for sorting <strong>of</strong> this protein .<br />
P08.61<br />
the mouse Genome informatics (mGi) resource: translating<br />
mouse phenogenomics into models <strong>of</strong> human disease<br />
A. V. Anagnostopoulos, H. Dene, S. M. Bello, H. Onda, T. F. Meehan, M. N.<br />
Knowlton, D. L. Burkart, I. Lu, L. L. Washburn, M. Tomczuk, R. P. Babiuk, B. A.<br />
Richards-Smith, C. L. Smith, J. T. Eppig;<br />
The Jackson Laboratory, Bar Harbor, ME, United States.<br />
The mouse is universally considered a premier model system for studying<br />
human development and disease . The MGI resource (http://www .<br />
informatics .jax .org) provides free access to integrated data on the<br />
genetics, genomics and biology <strong>of</strong> the laboratory mouse, facilitating<br />
navigation through sequence, polymorphism, spatiotemporal expression,<br />
mapping, biochemical function and process, sub-cellular topology,<br />
mammalian homology, phenotype and disease model data . MGI<br />
curates aberrant mouse phenotypes in the context <strong>of</strong> mutations (spontaneous,<br />
induced or genetically engineered), strain variations, QTLs,<br />
and complex traits that serve as credible models <strong>of</strong> human genetic<br />
disorders, incorporating phenotype-related images as available . Robust<br />
querying parameters include standardized terms from the Mammalian<br />
Phenotype Ontology, a hierarchically-structured vocabulary<br />
that supports morphophysiological annotations to background-specified<br />
allelic genotypes at varying degrees <strong>of</strong> granularity. Parallel use<br />
<strong>of</strong> key bio-ontologies, including the Anatomical Dictionary, GO, and<br />
OMIM, fosters innovative approaches to peruse expression pr<strong>of</strong>iles,<br />
map functional features <strong>of</strong> gene products to complex pathophysiological<br />
states, and establish associations between observed mouse phenotypes<br />
and orthologous human gene mutations or distinct nosological<br />
entities for which defined mouse genotypes phenomimic the human<br />
condition . MGI advances translational research through an integrated<br />
data platform which optimizes retrieval and semantic interpretation <strong>of</strong><br />
multi-parametric, genome-scale datasets, and permits disease model<br />
mining from a genotype, phenotype or computational perspective .<br />
Recent enhancements include a redesigned homepage and site-wide<br />
navigation paradigm, and an image-rich “Phenotype, Alleles & Disease<br />
Models” portal, as one <strong>of</strong> several mini-homepages, each encapsulating<br />
a different MGI biodomain along with content-specific access instructions,<br />
statistics, FAQs, and news announcements . Supported by<br />
NIH grants HG000330, HG002273, HD033745 .<br />
P08.62<br />
characterization <strong>of</strong> post-transcriptional regulation <strong>of</strong> the human<br />
chromosome 21 transcriptome<br />
S. I. Nikolaev1,2 , S. Deutsch1,2 , R. Genolet3 , C. Ucla1 , L. Parand1 , B. Conne1 , J.<br />
Vassalli1 , J. Curran3 , S. E. Antonarakis1 ;<br />
1Department <strong>of</strong> Genetic Medicine and Development, Geneva University,<br />
Geneva, Switzerland, 2Authors contributed equally to the work, Switzerland,<br />
3Department <strong>of</strong> Microbiology and Molecular Medicine, University <strong>of</strong> Geneva,<br />
Geneva, Switzerland.<br />
To characterize the post-transcriptional regulation <strong>of</strong> transcriptional<br />
units in human chromosome 21 (HSA21), we performed a sucrose<br />
gradient separation <strong>of</strong> RNA in 3 cell lines (GM06990, HelaS3 and<br />
SKNAS) . We generated fractions according to ribosome content to<br />
separate (i) RNA undergoing active translation (associated with at least<br />
2 ribosomes) and (ii) a pool <strong>of</strong> all fractions representing total RNA .<br />
Each pool was hybridized to a 22bp resolution tiling array comprising<br />
the entire non-repetitive sequence <strong>of</strong> HSA21 (18 Mb) .<br />
We observed that approximately 5% <strong>of</strong> HSA21 is transcribed in each<br />
cell line, and a total <strong>of</strong> 8 .5% is transcribed in at least 1 line . On average<br />
51 .6% <strong>of</strong> signals correspond to annotated regions, whereas the<br />
remaining have been previously referred to as Txfrags .<br />
We performed RT-PCR (with RT-minus control) and/or 5 and 3’ RACE<br />
for 100 random Txfrags, and sequenced positive bands . In all cases<br />
the sequences correspond to known exons elsewhere in the genome<br />
but also with high homology to HSA21 . This strongly suggests that<br />
these signals result from cross-hybridisation .<br />
To identify genes with significant levels <strong>of</strong> post-transcriptional regulation,<br />
we performed a paired-rank analysis <strong>of</strong> all detected exons . We<br />
observed that 86 out <strong>of</strong> 247 HSA21 genes demonstrate a significant<br />
shift in their rank distribution, suggesting post-transcriptional control .<br />
Our data suggest that 1) there is a considerable posttranscriptional<br />
control <strong>of</strong> gene expression and 2) a substantial fraction <strong>of</strong> Txfrags<br />
result from cross-hybridization with exons mapping elsewhere in the<br />
genome .