Interactions between genes at the
network level are of fundamental importance in instructing the development
and function of multicellular organisms. While the characterization of
genomes at the level of the solitary gene remains an important challenge
in many yet unsequenced organisms, the analysis of how genes function
in networks is now in increasing demand for those genomes that are already
available. In the post-genome era, scientists seek to understand the roles
of genes in evolution through comparative genomics studies
as well as to characterize genes in isolation and understand their functions
in the context of interactive networks, a field of investigation known
as functional genomics.
Asako Sugimoto has
adopted the nematode Caenorhabditis
elegans as an experimental model to take advantage of its tractability
to the systematic functional analysis of its genome using unique high-throughput
screening techniques. By studying the interactions between the approximately
19,000 genes predicted for C. elegans,
the Sugimoto research team seeks to identify the means by which sets of
genes working in combination help to establish and direct developmental
processes. The lab also looks to take the findings from these studies
as a base for advancing the understanding of developmentally important
mechanisms. Sugimoto hopes that by opening windows into the role of networked
genes in guiding development in a simple worm, new light will be shed
on universal mechanisms in the genetic regulation of the developmental
program.
RNAi-based profiling
of gene function
The wild-type nematode
is built from precisely 959 somatic cells, yet this simple organism exhibits
a wide range of the specialized cell types, such as muscles and neurons,
that characterize more highly derived species. And, thanks to the complete
knowledge of the lineage of every cell in the C.
elegans body, the differentiative pathway of every one of those
cells can be followed from its origin in the fertilized egg to its role
in the fully-grown adult. The amenability of this worm's sequenced genome
to reverse-genetic techniques has also served to make it one of the standard
model organisms in the world of genetics research. The discovery in the
late 1990s that the introduction of double stranded RNA (dsRNA) could
be used to knock down the expression of specific genes in the nematode
has only added to its appeal, giving scientists the ability to inhibit
gene function without disturbing its underlying DNA. Sugimoto has refined
this technique of RNA interference (RNAi) by developing a method in which
nematodes directly uptake dsRNA in solution. This process of 'RNAi by
soaking' offers greater efficiency and ease-of-use than other RNAi methods
and has enabled systematic high-throughput studies of gene suppression
to be conducted more rapidly than ever before possible.
Starting with a cDNA
library of approximately 10,000 genes expressed in developmental processes,
the Sugimoto lab used RNAi to knock down each gene's function and has
started to construct a database in which the resulting phenotypes are
sorted by developmental outcome. To date, nearly 6,000 phenotypes have
been categorized, and it was found that loss of function in more than
25% of these genes resulted in lethal, morphologically altered or sterile
phenotypes. Many lethal phenotypes result in developmental arrest and
death at very early stages, which typically prevents the study
of the underlying gene's function in later development. By exposing worms
to RNAi-inducing dsRNA at the L1 stage of larval development, Sugimoto
is able to study the post-embryonic function of genes that are lethal
when knocked down in embryos. This is critically important to the understanding
of genetic networks in post-embryonic development, as more than one out
of every ten genes analyzed by the lab so far is essential for embryogenesis.
Sugimoto's studies to date show that approximately 50% of all such genes
play post-embryonic roles as well, supporting the concept that a great
number of genes play multiple roles at different stages in development.
Phenotype analysis
The data sets produced
by high-throughput phenotype analyses can be formidably large and unwieldy,
and the lack of standardized descriptive terms and categories can limit
the accessibility to the wealth of information they contain. To improve
the value, ease-of-use and distributability of her RNAi phenotyping results,
Sugimoto has developed a taxonomic system and nomenclature to enable the
precise and consistent description of embryonic and post-embryonic phenotypes
using a checklist of more than 50 identifying traits, such as abnormalities
in cell division, cellular differentiation, organogenesis, morphogenesis,
growth, and movement. She plans to make these RNAi phenotype profiles
available to the C. elegans research
community, in the hopes of establishing a universal taxonomy for phenotype
analysis. Phenotypes described using this system can be subjected to hierarchical
clustering analysis, which makes it possible to categorize genes based
on relatedness between phenotypes. The genes clustered by this method
are likely to be involved in the same developmental process, thus this
analysis will provide pivotal information to uncover genetic networks
involved in the regulation of development. Members of the Sugimoto team
are now utilizing these RNAi analysis data to investigate developmental
processes such as microtubule dynamics in mitosis, morphogenesis, and
programmed cell death.