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After two years of intensive efforts by an international consortium of
researchers, the Brown Norway rat (Rattus norvegicus) joins the
human and the mouse as the third mammalian genomic sequence to be completed.
The achievement is expected to yield important new knowledge about mammalian
evolution and human disease processes, and should also contribute significantly
to progress in toxicogenomics.
The project, funded primarily by the National Human Genome
Research Institute (NHGRI) and the National Heart, Lung, and Blood Institute
(NHLBI), was conducted by the Rat Genome Sequencing Project Consortium.
The Human Genome Sequencing Center at Baylor College of Medicine led the
collaboration,
assembled the genome, and coordinated the data and resource contributions
of a large network of academic and private research centers. Next, an international
team comprising more than 20 groups in six countries analyzed the results
vis-ŕ-vis the human and mouse genomes. The sequence was published
in the 1 April 2004 issue of Nature, along with more than 30 papers
analyzing the results relative to the human and mouse genomes published simultaneously
in the April 2004 issue of Genome Research.
Three’s company. The Brown Norway rat
joins the human and the mouse as the third mammal to have its genome
fully sequenced.
image credit: NHGRI
The Brown Norway rat has long been one of the primary
models employed in biomedical, toxicological, and pharmaceutical research. “A
large number of human diseases are mimicked in the rat model, and having
the genome sequence lets us easily walk between what we understand in the
physiology and biology in the rat, and translate that to a better understanding
of human biology and disease processes,” says Susan Old, associate
director of the Clinical and Molecular Disease Program in the NHLBI Division
of Heart and Vascular Diseases and a project officer for the sequencing initiative.
She adds, “Our hope is to improve the health of the individual by better
understanding of the mechanism of disease, and to develop better therapeutics
and diagnostics. We are going to be able to do that a lot more effectively
than we had been able to previously.”
The availability of the rat genome sequence should also have a profound
impact on toxicogenomics. “At the present time, when we generate
expression profiles that are associated with a particular disease or genotype,
or in response to a toxicant, we still have difficulty putting together
the story of what genes and what pathways are being affected, because a
lot of the [genes] represented by features on the DNA microarrays have
still not been identified,” says Helmut Zarbl, a toxicologist at
the Fred Hutchinson Cancer Research Center in Seattle. Knowing the locations
and identities of all of the genes in the rat genome will aid toxicogenomicists
in their efforts to accurately characterize their functions--“to
actually put the story together and come up with the predictive toxicology
we’re looking for,” says Zarbl.
Zarbl’s group uses rat models to search for genes
associated with human breast cancer. He says having the sequence in hand
will advance his work as well as toxicogenomics studies of many other complex
diseases strongly suspected to be linked to gene-environment interactions. “By
being able to map some of these complex diseases in the rat model and find
the causal genes,” he says, “we can then very quickly go to human
studies using comparative sequence analysis to formulate hypotheses about
what genes are involved in human disease.”
According to Michael Waters, assistant director of database development
at the NIEHS-based National Center for Toxicogenomics (NCT), having the
sequence will enhance work being conducted in a variety of “omics” areas. “We
at the NCT are using microarray technology, but we’re also using
proteomics, and we want to be able to use metabolomics to understand how
toxicants operate, what their mode of action is, what some of the biomarkers
are that would indicate when a toxic outcome is likely to occur, [and]
. . . predict those effects at earlier times and lower doses,” he
says. Waters says the rat genome information provides the genetic scaffold
for scientists to link expression profiles to a genome that is relevant
to toxicology.
With the rat, mouse, and human genome sequences now completed, comparative
genomics--identifying the essential functional and structural components
of the human genome by comparing it with the genomes of other organisms--is
positioned for rapid acceleration. “Every model organism has its
advantages and disadvantages, and the more of them that we have to do experiments
in, the more quickly we’ll be able to find genes and genotypes associated
with specific phenotypes, relate these genotypes back to the human genome,
and find causes of human diseases,” says Zarbl.
In August 2004, NHGRI announced that it has added 18 new model organisms
to its sequencing pipeline, including the orangutan, the African savannah
elephant, the rabbit, and the domestic cat. Other groups are working on
sequencing the dog, the cow, the macaque, and several nonmammalian species.
Many of these projects are expected to be completed within a few years.
Waters anticipates that the flood of additional genomes
will be extremely valuable to toxicogenomics in two specific ways. First,
he says, the value of existing databases will be enhanced, with the cross-species
genomic information contributing to chemical risk assessment in the ecological
domain, as well as in human health. Second, we could possibly learn far more
about basic biological function in terms of phylogenetic relationships.
Much research on host defenses against infection has concentrated on the
amino acid sequences of antimicrobial peptides in the belief that the order
of the acids and their replication reflect how they work against aberrant
cells. Now researchers at the University of California, Los Angeles, (UCLA)
suggest that the shape the sequences are arranged in may be a critical
part of how these peptides work. A new report indicates that host defense
systems across the spectrum of life rely on a universal core structure
integral to many natural antimicrobial peptides. This core motif may play
a key role in preventing or limiting infection, an insight that could accelerate
a major advancement in antimicrobial drug development.
“It has been generally accepted that there is a
wide diversity in amino acid sequences and sources of antimicrobial peptides,” says
study co-investigator Michael Yeaman, a professor of medicine at the David
Geffen School of Medicine at UCLA. “But there hasn’t been as
much insight into the similarities that might exist that link all of these
diverse groups of molecules.”
The gamma ()-core motif--so called because it resembles the Greek letter--may
be that missing link, providing a key ingredient in the signature of antimicrobial
peptides. Yeaman and coauthor Nannette Yount, a molecular biologist at
the Los Angeles Biomedical Research Institute, say the -core alone can
have antimicrobial activity, but also appears to provide a scaffold on
which critical modules are configured to create molecules that hunt down
microbial pathogens and destroy them in diverse tissue contexts without
injury to the host.
The duo studied the amino acid sequences and three-dimensional
structures of over 500 antimicrobial peptides, and found the -core
structure in molecules as diverse as pea defensins, fruit fly drosomycin,
pig protegrin,
and human hepcidin. Such molecules share the multidimensional signature of
antimicrobial peptides. In a paper published 11 May 2004 in Proceedings
of the National Academy of Sciences, the authors wrote, “This striking
multidimensional signature is conserved among disulfide-containing antimicrobial
peptides spanning biological kingdoms, and it transcends motifs previously
limited to defined peptide subclasses.”
Common threads. The -core motif, visualized
in red above, is seen in antimicrobial peptides from a breadth
of organisms, including (left to right) the scorpion, the human, Aspergillus,
the mussel, and the buckeye tree. The motif appears to provide
a scaffold upon which disease-fighting molecules are configured.
image credit: Left to right: Digital Vision; Photodisc; National Institute
of Allergy and Infectious Diseases; Albert E. Theberge; Corbis; molecular
images: Nannette Y. Yount and Michael Yeaman
But the sequence, composition, and biochemistry of the
amino acids that make up the signature still play a major role, says Yeaman. “We
feel that some of the universality identified here may have been missed previously
because to identify this signature, we had to look at amino acid sequences
in both forward and reverse orientation, and that is not typically done,” he
says. “The broad conservation of the multidimensional signature identified
may have been missed if we only performed amino acid sequence searches
and alignments in a conventional way.”
There are other critical aspects of the -core motif
as well, Yeaman says. “The amino acid sequence is configured in three-dimensional
space so that the -core has certain characteristics. For example, electrostatic
charge tends to be placed in one part of this motif and hydrophobicity in
another; disulfide linkages are also conserved. These hallmark features of
the -core motif rely on both composition and three-dimensional structure.”
Yeaman and Yount are now translating the motif into peptide mimetics
and small molecules, and are designing so-called modular anti-infectives
with customized payloads of drugs that attach to the -core motif. These
compounds are at different stages of development--some are in the design
phase, while some have been tested and proven to have antimicrobial efficacy.
Still others are being optimized based on data generated in the lab as
well as in initial ex vivo studies. “We are trying to
develop entirely new types of ‘smart’ antibiotics that recognize
and act against harmful microbes, particularly those that have become resistant
to most all conventional drugs,” Yeaman says.
The work has captured the attention of researchers in
the drug development industry. “It’s the structure that defines
the signature,” says Steve Projan, vice president of biological technologies
at Wyeth Research in Cambridge, Massachusetts, and a consultant to the American
Society for Microbiology, based in Washington, D.C. “That structure
may be more important than sequence of amino acids. Even if the amino acids
are different, it is the overall structure that defines the activity of the
molecule.” However, Projan admits, “I’ll be skeptical
about the impact of this work until we have a molecule that works by [these]
rules
and a molecule that also works in an infection model.”
Yeaman suggests that learning how nature has evolved
antimicrobial agents may allow scientists to use the -core motif or mimetics
thereof as the scaffold that will guide the right peptide or molecule to
the right target. “Nature has done much of the designing,” he
says. “We are capitalizing on the experiments that nature has performed
over millions of years [and] trying to integrate the results of that process
in new antibiotics.”
According to the 1999 World Health Organization report Removing Obstacles
to Healthy Development, infectious diseases cause one-third of all
human deaths worldwide. These diseases also cost the livestock industry
billions of dollars yearly, according to figures from the U.S. Department
of Agriculture National Center for Animal Health Surveillance. Infectious
diseases are currently fought largely with vaccines (which generate so-called
adaptive immunity) and antibiotics. But adaptive immunity can take months
to acquire, and overuse of antibiotics may promote resistance in bacteria.
If researchers with a Canadian project called Functional Pathogenomics
of Mucosal Immunity (FPMI) can unlock the genetic mechanisms behind another
branch of immunity--innate immunity--they may have the key to faster-acting,
more effective medicines by harnessing the body’s rapid-response
agents. Indeed, project scientists recently identified a highly promising
peptide candidate for future immunotherapies.
FPMI is funded by Genome Canada, a nonprofit corporation dedicated to
advancing genomics and proteomics to improve human and animal health. The
three-year project involves groups at the University of Saskatchewan, the
University of British Columbia, Simon Fraser University, and the Vancouver
firm Inimex Pharmaceuticals.
“The unique strength of FMPI is the application of animal and human
models of infection to study evolutionarily conserved host responses,” says
microbiologist Vivek Kapur, co-director of the Biomedical Genomics Center
at the University of Minnesota. Because the mechanisms of the innate
immune system are not well understood, this comparative genomics approach
to study host-pathogen interactions may lead to new immunotherapeutics
to prevent infections, he adds.
Innate immunity appears highly conserved in evolution, suggesting that
similar events occur in different species. Innate immunity is relatively
nonspecific and acts rapidly to block pathogens at the point that they
enter the body: the mucous membranes of the respiratory, digestive, and
reproductive tracts. Agents produced by the innate immune system--such
as cytokines, chemokines, and natural host defense peptides--act immediately
in response to infection.
Everybody’s got one. The ability of innate
immunity to block pathogens at the mucous membranes appears highly
conserved across species.
image credit: Left to right: Pixtal; Image Source; ThinkStock
The researchers use microarrays to watch gene activity in humans and animals
following exposure to six bacteria and three viruses associated with hospital-acquired
infections, food poisoning, and livestock illnesses. “If we can show
that the same genetic processes happen in cows, chickens, and humans, that
gives us a great deal of confidence that we’re on the right path
[to understanding the mechanism involved],” says project co-leader
Lorne Babiuk, director of the Vaccine and Infectious Disease Organization
at the University of Saskatchewan.
The data generated by the thousands of microarray experiments are processed
by bioinformaticists headed by Fiona Brinkman, an assistant professor of
molecular biology and biochemistry at Simon Fraser University. The team’s
sophisticated software system, called ArrayPipe, “allows researchers
from distant geographic regions to work together and view each others’ analyses,” says
Brinkman. The software is available in an “open source” format
that makes it very flexible and easy to customize. ArrayPipe can be downloaded
for free at http://www.
pathogenomics.ca/arraypipe/.
The genes related to innate immunity encode disease-fighting substances,
which not only kill pathogens, but also produce inflammation. Although
some inflammation is necessary to kill pathogens, it can escalate to undesirable
conditions such as septic shock. One goal of the FPMI researchers is to
find ways to induce desirable disease-fighting responses, yet quell undesirable
ones related to inflammation.
A major breakthrough came when researchers in the laboratory of FPMI co-leader
Bob Hancock, who is director of the Centre for Microbial Diseases and Immunity
Research at the University of British Columbia, showed that the natural
host defense peptide LL-37 cures infections as it suppresses inflammation.
In a report published 15 March 2004 in The Journal of Immunology,
Hancock and colleagues write that LL-37 up-regulates genes linked with
the inflammation that kills microbes, but down-regulates those linked with
the inflammation that promotes septic shock, suggesting that LL-37 serves
as a watchdog to control inflammatory processes. “This . . . indicates
that you can get the good aspects of innate immunity without the bad,” says
Hancock.
Scientists at Inimex are designing new drug compounds
based on LL-37. The new strategy will encourage the body’s innate immune
system to attack foreign invaders, rather than bombard bacteria with antibiotics--an
approach that increasingly leads to antibiotic-resistant strains. “It’s
a new perspective that’s desperately needed to counteract antibiotic-resistant
bacteria,” says Hancock.
Although scientists have great understanding of individual molecules,
the limitations of modern technology have restricted the study of molecular
groupings, or “machines,” within cells. Now, however, scientists
with the Structural and Computational Biology Programme at the European
Molecular Biology Laboratory (EMBL) in Heidelberg, Germany, have developed
a method to predict and gain understanding of how molecules assemble into
machines--an advancement with significant potential application to toxicogenomics.
Group leader Rob Russell says advances in the study of functional genomics
in recent years have provided the basis for knowing what components make
up these molecular machines, even though little is known about what the
structures look like. This new knowledge about the makeup of molecular
complexes, combined with electron microscopy technology and computer methods
developed by Russell and computational biologist Patrick Aloy, provided
the framework for the project.
Russell and Aloy studied yeast proteins, identifying the components of
hundreds of molecular machines in these cells. Using the “tandem
affinity purification” method developed at EMBL Heidelberg, they
attached molecular tags to selected proteins and “went fishing” for
other proteins in the yeast that would interact with the bait. These interactive
complexes form the basis of protein networks.
They liken the process, from that point on, to that of assembling a jigsaw
puzzle, where the pieces are individual components of particular machines
in yeast cells. They first divided the components into groups containing
structural similarities, then proceeded to look for recurring patterns
of molecular interactions. For example, if two similar molecules in one
machine were also found in another, they were considered likely to fit
together in the same way.
Pieces of the puzzle. Researchers at
EMBL Heidelberg have devised a way to apply functional genomics
to derive the structure of a molecular machine within the yeast
cell. Such models may also suggest a potential mode of interaction
between polymerase and transcription initiation factors.
image credit: Rob Russell and Patrick Aloy/EMBL Heidelberg
The scientists looked for those kinds of relationships and built upward,
using knowledge about how various protein molecules fit together in one
machine to predict the structure of other machines. In some cases, they
were able to draw three-dimensional images of machines on their computer
screens. Aloy cautions, however, that these images are predictions--not
depictions--of structure.
The potential application of the research at EMBL Heidelberg,
which was conducted in conjunction with the private German biopharmaceutical
company Cellzome, may be broad. “If you know something about structure,
you know a lot about how something works,” Russell says. “If
you’re confident that the structure is right, you could conceivably
design chemicals to target particular types of machines.”
Andrej Sali, a professor at the University of California,
San Francisco, departments of Biopharmaceutical Sciences and Pharmaceutical
Chemistry, says that scientists working on structural genomics have become
keenly interested in how protein assemblies function. “The general
point is that structures of assemblies are informative about what the function
of the assemblies is and how that function is performed mechanistically--how
one might want to control that function, or modify it, and perhaps eventually
how one could design new functions,” Sali says. “So, for these
purposes, knowledge of structure is very helpful.”
Sali says Russell and Aloy’s report of their research, which appeared
in the 26 March 2004 issue of Science, has been widely read because
it presents a new way to envision molecular structures as systems that
appear in three dimensions, and not just as individual proteins.
Russell believes that knowledge of molecular machines
is useful in toxicogenomics because so much in this science relies on being
able to understand the relationship between often highly disparate processes. “For
instance,” he says, “how does liver hyperplasia arise when
one is taking a drug acting on a particular kinase? This essentially boils
down
to understanding the relationship between pathways in the cell, and certainly
a structural perspective on this can be a great boon.”
Russell says he and his colleagues have only begun to
scratch the surface with their work on the functions of molecular machines.
EMBL Heidelberg, which is funded by public research monies from 17 member
states, recently received a grant from the Sixth Framework Programme of the
European Community (which funds research, development, and demonstration
activities) to carry the work to the next level. Russell says his laboratory
will be working with approximately 20 other groups in Europe to embark on
a variety of further experiments using tools including electron microscopy
and X-ray crystallography. “The hope,” he says, “is to
do this in more detail than what we were able to do in the original paper.”
Although there is obviously much work left to do to realize
the potential of this new method, the possibilities appear wide open. “It’s
an exciting area,” Russell says. “Our ultimate goal is to have
a kind of dynamically updated view of the cell. . . . Ultimately, we want
a complete picture of the cell.”
Richard
Dahl
Y.F. Leung’s Functional Genomics
With its sequencing completed in 2003, scientists set their
sights on determining the basic structure and inner workings
of the human genome. This movement has spawned numerous new scientific
specialties that have been supported by the growth of data-generating
technologies. One of these interdisciplinary fields, functional
genomics, is devoted to linking gene expression to function (or
dysfunction) in cells, organs, and tissue. On his website titled
Y.F. Leung’s Functional Genomics, located at http://genomicshome.com/, Harvard
researcher Yuk Fai Leung sketches out the current state of this
new field of study.
The homepage of the site is divided into three central sections.
The main section, titled All About Functional Genomics, is an
assemblage of links to relevant outside resources such as “omics” glossaries
and the Department of Energy Genomes to Life program. Also in
this section are pages of resources for related fields including
bioinformatics and proteomics. Leung has also brought together
resources on the use of chaos and nonlinear dynamics in genomics,
and on the ethical, legal, and social issues surrounding genomics.
A group of links to institutes and core facilities conducting
functional genomics work is also provided.
Microarray technology has been crucial to the development of
functional genomics. The Microarrays subsection gives an overview
of what exactly these tools are, as described through videos,
technology reviews, even cartoons, and provides descriptions
of all of the various equipment and technology required to perform
this sort of analysis. The Language & Standard subpage lists
links to resources on communicating results with others within
the discipline. Listings of relevant courses, video seminars,
conferences, and workshops are also available.
The Bioinformatics subsection of the website
contains links to more than 50 databases. This subsection, like
the Microarrays subsection, also has pages devoted to the language
and algorithms used in bioinformatics as well as data standardization.
The Ontology page has links to resources on the efforts to develop
a standard, universal vocabulary that can be used across the “omics” fields
for all organisms.
Other subsections are devoted to proteomics and to genome mapping,
complex disease mapping, and linkage analysis. They are populated
much as the other two subsections, with pages of glossaries,
educational opportunities, calendars, and the like.
This website also has a novel Feature Sections
element that bench scientists will find useful. Leung has put together
a microarray software comparison featuring 13 primary types of
software, including programs for data preprocessing, analysis,
and annotation. The page for each software type has a definition
of the software’s use, suggested readings, and lists of the
products available in each category. Also on offer is a compendium
of peer-reviewed journal articles related to functional genomics,
including a list of biotech business articles. Leung also provides
a reading list of books on functional genomics topics and an in-depth
functional genomics glossary.