Study Marks First Step in Decoding Gene Regulatory
Logic
SAN DIEGO-June 29, 2005- Investigators
from the University California, San Diego (UCSD) Branch of the Ludwig
Institute for Cancer Research (LICR) and NimbleGen Systems have
developed an efficient method to identify thousands of regulatory
sequences in the human genome, according to a study published online
today in Nature. 
Genes are defined by their ability to generate
a functional product. Thus the 'promoter' - a DNA sequence that
controls when and where a gene product is generated - is the critical
element that distinguishes a gene from 'junk DNA.' Using a set of
NimbleGen's DNA microarrays that represent the entire human genome,
the team was able to track critical proteins binding to each gene's
promoter to identify 10,567 active promoters, 5449 of which were
previously unknown.
LICR's Dr. Bing Ren, the senior author of the
study and a faculty member at the UCSD School of Medicine, says
that although scientists have found most of the protein-coding genes
in the human genome, their control sequences have been elusive until
now. "Promoters are a type of genetic switch that turn gene expression
on or off. If we know where the promoters are, we can study how
the genetic switches work in a cell and investigate their connection
to human diseases." Dr. Ren and his colleagues have made the data
freely available on online public databases.
Dr. Robert Strausberg, Vice-President of Human
Genomic Medicine at the J. Craig Venter Institute, says that this
understanding is vital for determining the genetic causes of, and
possible genomic solutions for, diseases such as cancer. "Medicine
is increasingly turning towards the idea of using genetic markers
for diagnosis and prognosis, or determining personalized therapies,
so-called pharmacogenetics, but we don't know how these genes are
regulated or even related to each other. The identification of such
a large number of promoters means that we can begin to answer these
sorts of questions."
The authors of this study were: Tae Hoon Kim,
Leah O. Barrera and Chunxu Qu, University California, San Diego
Branch of the Ludwig Institute for Cancer Research (La Jolla, CA);
Ming Zheng, and Yingnian Wu, University California, Los Angeles
Department of Statistics (Los Angeles, CA); Michael A. Singer, Todd
Richmond and Roland D. Green, NimbleGen Systems, Inc (Madison, WI);
and Bing Ren, University California, San Diego Branch of the Ludwig
Institute for Cancer Research and Department of Cellular and Molecular
Medicine (in the UCSD) School of Medicine and Moores UCSD Cancer
Center (La Jolla, CA).
Promoter data are available on the UCSC
Genome Browser and the National
Center for Biotechnology Information Gene Expression Omnibus
This publication may be found online at http://dx.doi.org/10.1038/nature03877.
The Ludwig Institute for Cancer Research (LICR)
is the largest international academic institute dedicated to understanding
and controlling cancer. With ten Branches in seven countries, and
numerous Affiliates and Clinical Trial Centers in many others, the
scientific network that is LICR quite literally covers the globe.
The uniqueness of LICR lies not only in its size and scale, but
also in its philosophy and ability to drive its results from the
laboratory into the clinic. LICR has developed an impressive portfolio
of reagents, knowledge, expertise, and intellectual property, and
has also assembled the personnel, facilities, and practices necessary
to patent, clinically evaluate, license, and thus translate, the
most promising aspects of its own laboratory research into cancer
therapies.
NimbleGen Systems, the leading supplier
of flexible high-density microarray products and services, is enabling
a new era of "High-Definition GenomicsSM." NimbleGen uniquely produces
high-density arrays of isothermal long oligos that provide superior
results for advanced genomic analysis methods such as CGH, ChIP,
mutation mapping, re-sequencing, and expression tiling. NimbleGen's
High-Definition Genomics enables scientists to obtain and integrate
complex genetic data sets not previously accessible, providing a
much clearer understanding of genomics and systems biology. This
improved performance is made possible by NimbleGen's Maskless Array
Synthesis (MAS) technology, which uses digital light processing
and rapid, high-yield photo-deposition chemistry to synthesize DNA
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