European Human Genetics Conference 2007 June 16 – 19, 2007 ...
European Human Genetics Conference 2007 June 16 – 19, 2007 ...
European Human Genetics Conference 2007 June 16 – 19, 2007 ...
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Concurrent Symposia<br />
S17. Towards a gene expression map of human brain<br />
development<br />
S. Lindsay 1 , L. Puelles 2 , D. Vouyiouklis 1 , M. Muiras 1 , S. Woods 3 , M. Atkinson 4 ,<br />
D. Davidson 5 , T. Strachan 1 , R. A. Baldock 5 ;<br />
1 Institute of <strong>Human</strong> <strong>Genetics</strong>, Newcastle University, Newcastle upon Tyne,<br />
United Kingdom, 2 University of Murcia, Murcia, Spain, 3 PEALS Institute, Newcastle<br />
University, Newcastle upon Tyne, United Kingdom, 4 National e-Science<br />
Centre, University of Edinburgh, Edinburgh, United Kingdom, 5 MRC <strong>Human</strong><br />
<strong>Genetics</strong> Unit, Edinburgh, United Kingdom.<br />
Discoveries of human-specific gene expression or gene regulation<br />
or gene content are being made at an accelerating pace and have<br />
sparked interest in molecular answers to the question of “what makes<br />
us human”. Studies of the human brain and its development are expected<br />
to provide at least some of these answers.<br />
Characterising gene expression patterns is a crucial step towards understanding<br />
the molecular determinants of development and the roles<br />
of genes in disease. However, human brain development involves<br />
transformations from a simple tube to a highly organised and complex<br />
3-dimensional (3-D) structure. We have used a recently developed<br />
method, optical projection tomography (OPT), to generate digital 3-D<br />
models of early human brain development. These models can be used<br />
both as frameworks, on to which normal or experimental gene expression<br />
data can be mapped, and as objects, which provide a valuable<br />
means for visual interpretation and overview of complex morphological<br />
data and within which morphological relationships can be investigated<br />
in silico. Together these models, mapped gene expression patterns<br />
and the sophisticated software to manipulate and analyse them are<br />
being expanded towards the generation of an electronic atlas of human<br />
brain development (www.ncl.ac.uk/EADHB). This should be a<br />
mechanism for systematically correlating human gene expression results<br />
with corresponding data in mouse and provide a scientific basis<br />
for extrapolation from mouse model to human disease which is crucial<br />
if we are to safely use the mouse (or other animal models) to investigate<br />
the mechanisms underlying human disorders and for testing<br />
therapeutic agents or interventions.<br />
More generally, human developmental studies bring with them ethical<br />
and technical challenges and will need a large-scale, trans-national<br />
effort in order to make the maximum effective use of the limited human<br />
tissue (suitable for gene expression studies) that is being collected.<br />
DGEMap (Developmental Gene Expression Map) is an EU-funded<br />
Design Study with a multidisciplinary team which aims to define the<br />
molecular genetic & informatics technologies and the organisational &<br />
collaborative structures necessary for a new research infrastructure to<br />
meet these challenges within an appropriate ethical framework (www.<br />
dgemap.org)<br />
S18. Genetic and genomic studies of patterning in the human<br />
cerebral cortex<br />
X. Piao, T. Sun, B. Chang, C. A. Walsh;<br />
Division of <strong>Genetics</strong>, Children’s Hospital Boston, Howard Hughes Medical Institute,<br />
Beth Israel Deaconess Medical Center, and Departments of Neurology<br />
and Pediatrics, Harvard Medical School, Boston, MA, United States.<br />
The human cerebral cortex is distinguished from that of other species<br />
by its remarkable size, its subdivision into lobes and regions with distinct<br />
functions, and the relative specialization of the left and right hemispheres<br />
for complementary functions, with the left usually dominant<br />
for language and mathematical ability. Remarkably, genetic malformations<br />
of human cerebral cortex can affect different cortical regions<br />
preferentially, potentially identifying genes involved in generating areaspecific<br />
patterns in human cortex. Mutations in GPR56, which encodes<br />
an unusual G-protein coupled receptor, cause a recessively inherited<br />
disorder that preferentially affects the frontal lobe (bilateral frontoparietal<br />
polymicrogyria), and specific GPR56 alleles cause remarkably<br />
localized frontal defects. Understanding the regulation of GPR56 expression<br />
may reveal additional factors that pattern the cortex. In order<br />
to identify genes with potential differences in expression between left<br />
and right hemisphere, we used SAGE to compare right and left perisylvian<br />
cortex at 12-14 weeks gestation, and found substantial numbers<br />
of genes with differential levels of expression, notably LMO4. We<br />
are presently extending these studies to earlier developmental ages.<br />
Finally, a recently described human brain malformation preferentially<br />
disrupts the right perisylvian region but not the left, suggesting a gene<br />
that may be involved in hemisphere-specific development. Supported<br />
by the NINDS, HHMI, the NLM Family Foundation and the Simons<br />
Foundation. C.A.W. is an Investigator of the Howard Hughes Medical<br />
Institute.<br />
S<strong>19</strong>. Signalling Pathways Deduced from a Global Analysis of<br />
Spatial Gene Expression Patterns<br />
A. Visel 1 , J. Carson 2 , J. Oldekamp 1 , M. Warnecke 1 , V. Jakubcakova 1 , X. Zhou 1 ,<br />
C. Shaw 3 , G. Alvarez-Bolado 1 , G. Eichele 1 ;<br />
1 Genes and Behavior Department, MPI Biophysical Chemistry, Göttingen, Germany,<br />
2 Biological Monitoring and Modeling Department, Pacific Northwest National<br />
Laboratory, Richland, WA, United States, 3 Department of Molecular and<br />
<strong>Human</strong> <strong>Genetics</strong>, Baylor College of Medicine, Houston, TX, United States.<br />
Automated in situ hybridization (ISH) permits construction of comprehensive<br />
atlases of gene expression patterns in mammals. When<br />
web-accessible, such atlases become searchable digital expression<br />
maps of individual genes and offer an entryway to elucidate genetic<br />
interactions and signaling pathways. An atlas housing ~1,000 spatial<br />
gene expression patterns of the mid-gestation mouse embryo was<br />
generated. Patterns were textually annotated using a controlled vocabulary<br />
comprising 90 anatomical features. Hierarchical clustering<br />
of annotations was carried out using distance scores calculated from<br />
the similarity between pairs of patterns across all anatomical structures.<br />
This ordered hundreds of complex expression patterns into a<br />
matrix that reflected the embryonic architecture and the relatedness<br />
of patterns of expression. Clustering yielded twelve distinct groups of<br />
expression pattern. Because of similarity of expression patterns within<br />
a group, members of this group may be components of regulatory cascades.<br />
We focused on group 7 which is composed of 80 genes, many<br />
of which encoded regulatory proteins such as Pax6, an evolutionary<br />
conserved transcriptional master mediator of the development. By<br />
combining ISH on Pax6-deficient embryos, bioinformatics-driven Pax6<br />
binding site selection, and Pax6 binding site validation by means of<br />
electromobility shift assays, we identify numerous new genes that are<br />
transcriptionally regulated by Pax6 in the developing neocortex. Hence<br />
cluster analysis of annotated gene expression patterns derived from<br />
ISH is a novel approach to unravel components of signaling cascades<br />
regulating critical aspects of mammalian development, physiology and<br />
pathophysiology.<br />
S20. New mechanisms of human genetic disease<br />
M. De Gobbi 1 , V. Viprakasit 2 , J. Hughes 1 , C. Fisher 1 , V. J. Buckle 1 , H. Ayyub 1 ,<br />
R. J. Gibbons 1 , D. Vernimmen 1 , Y. Yoshinaga 3 , P. de Jong 3 , J. F. Chen 4 , E. M.<br />
Rubin 4 , W. G. Wood 1 , D. Bowden 5 , D. R. Higgs 1 ;<br />
1 MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine,<br />
Oxford, United Kingdom, 2 Department of Pediatrics, Mahidol University, Bangkok,<br />
Thailand, 3 BACPAC Resources, Oakland Research Institute, Oakland,<br />
CA, United States, 4 Genome Science, Genomic Division, Lawrence Berkeley<br />
National Laboratory, CA, United States, 5 Clinical <strong>Genetics</strong> Laboratory, Monash<br />
Medical Centre, Clayton, Australia.<br />
We describe a new mechanism underlying human genetic disease by<br />
identifying a gain of function regulatory SNP (rSNP) that causes a form<br />
of alpha thalassaemia which occurs at polymorphic frequencies in<br />
Melanesia. Association studies localised the mutation to a <strong>16</strong>8kb segment<br />
of the genome including the alpha globin locus but conventional<br />
analyses failed to detect any molecular defect. After re-sequencing<br />
this region and using a combination of chromatin immunoprecipitation<br />
and expression analysis on a tiled oligonucleotide array, a regulatory<br />
SNP (rSNP) was identified in a nondescript region of the genome lying<br />
between the alpha globin genes and their highly conserved, remote,<br />
upstream regulatory elements. The rSNP creates a new promoter-like<br />
element which interferes with normal activation of all downstream alpha-like<br />
genes. This not only demonstrates a new mechanism of human<br />
genetic disease but also illustrates an important general strategy<br />
for distinguishing between neutral and functionally important rSNPs.<br />
S21. Chromosome dynamics in cytokine gene expression<br />
C. Spilianakis, T. Town, R. A. Flavell;<br />
Department of Immunobiology, Yale University School of Medicine, New Haven,<br />
CT, United States.<br />
In the last few years, we have found that regulatory elements on one<br />
chromosome associate with genes on another chromosome. The system<br />
that we study is the differentiation of naïve, precursor CD4 T cells<br />
into different kinds of effector helper T cells. We first observed inter-