Merck-AAAS
Understanding Ligand-Biomacromolecule
Interactions at the Biophysical and Molecular Levels
PROJECTS
PROJECT 1:
Discovery and Characterization of
Novel Extremeophilic Homing Endonucleases.
(Seligman, Crane). These studies will
help us understand the prevalence of homing endonucleases
(HEs) in a range of deeply branching extremophilic bacteria and archaea,
while at the same time engaging in the characterization of these endonucleases at the molecular level. The overall goal of
this work is to understand the role that homing endonculeases
play in the evolution of genomes.
HEs have been found in several extremophilic
archaea, and we propose that an examination of a
range of 16S and 23S rRNA genes from microbes from
extreme environments will yield unique HEs.
Sequence-based
methods enable the survey of microbial populations without culturing individual
organisms. Sequences commonly examined in such studies include the 16S and 23S rRNA genes. Since HEs are
commonly found in introns in these genes, putative HEs have been fortuitously detected in environmental
surveys.1 Such sequences were found in hyperthermophiles
closely related to Pyrobaculum from a subsurface
environment 1,500 m beneath the earth, and from a mat in a gold mine hot water
stream. Whether these sequences encode functional enzymes is an open question.
Based upon these results, environmental studies directed at detecting the
sequence of HEs are likely to be successful.
The
Seligman lab uses E. coli based
genetic assays and in vitro
analyses to examine HE structure and function, and to engineer HEs with novel DNA target specificities.2 While
most studies have focused on a chloroplast derived HE, the lab has recently
demonstrating that HEs from other sources function in
E. coli. Thus, the lab is
uniquely positioned to carry out both genetic and biochemical analysis on HE
sequences identified by environmental surveys.
The
Crane group is interested in microbial diversity at geothermal sites that range
from acidic to basic and from 50–95°C. We will begin our search for novel HEs by examining the 16S and 23S genes in sequences that we
have previously detected and in new sequences we discover. We can initiate our studies
of novel archaea-based HEs
by using genes already identified in other environmental surveys.1
The
discovery of introns and inteins
in a range of procaryotic sources suggests a role for
these elements and the HEs whose coding region is
contained within them throughout the three domains in life. This view of the
ubiquitous nature of these elements, as well as their presence in deeply
branching members of the archaea, suggests a role for
HEs in the early evolution of genomes, where their
function appears to be to confer mobility to the introns
and inteins that host them.
PROJECT
2: Polyphenolic Damage
and Repair in Yeast and Mammalian DNA. (Cavalcanti,
Hoopes, Johal, Negritto
& Selassie). Polyphenolic
compounds such as flavanoids which are ubiquitous in
fruits and vegetables are natural anti-oxidants but also reveal potentially
harmful pro-oxidant properties. Our objectives in the present study are to
investigate the level of DNA damage induced by these compounds in yeast and
mammalian cells, to analyze changes in DNA expression via microarrays,
to assess the extent of DNA-polyphenol interactions,
and to delineate the role of nucleotide excision repair (NER) pathway and
homologous recombination (HR) in DNA repair in yeast.
The propensity of polyphenolics
to readily form radicals in the presence of metal ions suggests an ability to
induce DNA damage whose nature, extent and subsequent repair has not been
systematically delineated. The deleterious effects of DNA damage and polyphenolic-induced DNA damage on aging and cell
growth/viability, respectively, will be determined by an examination of DNA-polyphenol binding profiles, significant repair processes
and analysis of the whole genome expression profile through microarray
analysis.
The cytotoxicities and apoptosis-inducing abilities of a series
of flavanoids (Kaempferol, Genistein, Epicatechin, Quercetin and Morin) will be determined in human HL-60
cells. Quartz-crystal microbalance (QCM) equipped with energy dissipation
monitoring will then be used to measure the binding characteristics of flavanoids with and without the presence of Cu2+,
to calf thymus DNA applied to the surface of a sensitive quartz crystal
resonator. Life spans of yeast with isogenic
deletions of components of the NER pathway will be compared to wild type growth
with and without a flavanoid at an inhibiting dose
< its ID50. The levels of HR in flavanoid-treated
yeast will also be determined by using a deletion assayl.3 Microarray analysis will be utilized to compare
age-related and flavanoid-mediated changes in gene
expression levels and these results will be validated using RT-PCR
on a small set of affected genes.
The Cavalcanti laboratory will be responsible for the microarray analysis.4 The Hoopes
laboratory will determine the extent of NER in flavanoid-treated
DNA as well as aged DNA while the Johal laboratory
will apply calf thymus DNA to the quartz crystal and assess the interactions of
flavanoids in the presence/absence of Cu2+.
The Negritto laboratory will be responsible for
determining the degree of HR in the flavanoid-treated
yeast and will also validate the microarray results
by using RT-PCR. The Selassie laboratory will
determine the cytotoxic and apoptotic ID50
values of the flavanoids.5
Yeast are eukaryotic cells with cell
division regulation similar to mammalian cells. Thus, the roles of DNA repair
in yeast aging and polyphenolic exposure are relevant
to cancer, aging studies and the consumption of nutraceuticals.
PROJECT 3: Interaction between Rab GDP Dissociation Inhibitor (GDI) and a PUG-UBX Protein,
Gint3. (Cheney, Johal).
Our objective is to investigate the nature of the interaction between two proteins
involved in vesicle targeting using an ultra-sensitive quartz crystal
resonator.
The
eukaryotic cell cytoplasm has a very active traffic of vesicles that carry
materials to be secreted from the cell, as well as vesicles moving material
into the cytoplasm from the extracellular
environment. It is imperative that these vesicles fuse with the correct target
membrane. Rab GTPases are
part of the machinery for ensuring correct vesicle targeting.6 When
a vesicle fuses with its target membrane, the vesicle membrane, with its
embedded rabs, becomes part of this membrane. To
ensure that rabs do not build up on target membranes,
Rab GDP dissociation inhibitor (GDI) removes rabs from target membranes and recycles rabs
back to the donor membrane. However, there are many rabs
(30 in Drosophila, 60 in humans) and far fewer GDI genes (one in Drosophila,
two in humans).
How
does GDI release the correct rab to the correct donor
membrane? The current hypothesis is that donor membranes contain a receptor
complex that binds the rab-GDI complex and triggers
the dissociation of rab from GDI. The Cheney lab has
identified a candidate receptor, Gint3, using a yeast two-hybrid system.7
The goal of the proposed project is to determine whether GDI and Gint3 bind in
vitro and whether binding of a rab-GDI complex to
Gint3 results in dissociation of rab from GDI.
We
propose to use quartz crystal microbalance (QCM) to investigate GDI-Gint3 and
rab-GDI-Gint3 interactions. Drosophila Gint3 will be expressed in bacteria as a
glutathione-S-transferase (GST) fusion protein,
purified and applied to the QCM. GST-GDI will be bacterially expressed and
purified. Rab-GDI complexes will be purified from
Drosophila containing a GST-GDI transgene. We will
measure the binding of GST-GDI to Gint3. Likewise, we will measure the binding
of rab-GDI to Gint3 and determine whether rab dissociates from GDI in the presence of Gint3.
Bacterially expressed GST-GDI and GST-Gint3 will be purified by students in the
Cheney lab. GST-GDI containing rab will be isolated
from transgenic flies in the Cheney lab. The Cheney lab has recently generated
these flies. In the Johal lab, students will apply
Gint3 to the QCM resonator crystal and then measure the interaction of GST-GDI
with Gint3 and the interaction of GDI-rab with Gint3.
In particular, temperature-programmed QCM measurements will provide
protein-protein binding energies, allowing the nature of these interactions to
be better understood.
QCM
measurements will help determine whether GDI and Gint3 bind in vitro and
whether binding of a rab-GDI complex to Gint3 results
in dissociation of rab from GDI. These studies will
help elucidate the role of these interactions in vesicle targeting and in the
subsequent dissociation of rab from GDI.
PROJECT 4: Modeling Diffusion-Limited Components of
Insect Gas Exchange. (Garza-López, Wright).
Although diffusion has long been considered the primary driving force for gas
exchange in insect tracheal systems, recent synchrotron X-ray analysis has
shown that tracheal systems are highly dynamic in vivo. This begs the question
of whether supplementary convection is involved. Similar questions pertain to
the cryptonephric system in the recta of mealworms
that functions in fecal dehydration and water vapor absorption (WVA). During
WVA, water diffuses into the open rectal canal and proceeds down the vapor
pressure gradient across the rectal wall and down an osmotic pressure gradient
into the Malpighian tubules.8 It must then
be moved thermodynamically ‘uphill’ into the blood, possibly by hydrostatic
pressure. WVA shows saturation kinetics in high humidity, indicating one or
more rate-limiting factors.
Diffusional and hydrostatic water movements will
be modeled in these two systems, incorporating physiological and anatomical
measurements. It is hypothesized that the anatomy of the insect tracheal system
is optimized for diffusional exchange but depends on
supplementary forced convection in insects above a few milligrams in mass.
Diffusion is predicted to impose upper size limits for insect wings. For WVA,
we hypothesize that diffusion of water in the air or water phase will be
rate-limiting.
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In
order to model these diffusion-reaction processes in compartmentalized systems,
the defining space (e.g. the tracheal branching pattern) can be represented as
a lattice, and the dynamics then studied using the theory of stochastic
processes. To study this problem, we assign the exit site to be a trap (or
sink) and solve the stochastic master equation: for the specific geometry
characterizing the system.9 Here is the probability that a diffusing particle has
reached site i at time t on a (lattice) system of N
sites. is an NxNxN matrix whose
elements are the transition probabilities between neighboring sites on the
fractal structure. It is straightforward to incorporate temperature effects
into these equations.
Tracheal
path lengths, diameters, and sequential branching patterns will be measured
from digital images of various insects. Metabolic rates and tracheal
ventilation patterns will be measured by continuous-flow respirometry.
Diffusion path lengths in the cryptonephric complex
of mealworms will be measured from dissections and from sections of fixed,
embedded specimens. WVA in different temperatures will be quantified
gravimetrically.
The
proposed modeling can study effects of different partial pressure gradients,
tubule morphology, and diffusion of gases in air or water. By incorporating
precise anatomical and physiological data, such models provide powerful tools
for addressing these long-sought questions. This work should be of broad
interest to physiologists, biophysicists and physical chemists, as well as
training students in emerging fields at the physiology-chemistry interface.
References:
1. Nunoura, T; Hirayama, H; Takami,
H et al., Environ Microbiol. 7, 1967-84 (2005).
2. Rosen,
LE; Morrison, H; Masri, S; et al., Nucleic Acids Res.
34, 4791-800 (2006).
3. Schiestl, RH; Gietz, RD; et al., Carcinogenesis 10, 1445 (1989).
4. Kitagawa, E; Momose, Y and Iwahashi, H. Environ. Sci. Technol.
37, 2788 (2003).
5. Selassie, CD;
Kapur, S;Verma, RP and
Rosario, M. J. Med. Chem. 48, 7234 (2005).
6. Pfeffer, S
and Aivazian, D. Nat Rev Mol Cell Biol
5, 886 (2004).
7. Fields, S and Sternglanz,
R. Trends Genet. 10, 286 (1994).
8.
O’Donnell, MJ and Machin, J. J. Exp. Biol. 155,
375(1991).
9. Garza-López,
RA; Lee, C; Lin, D.; et al.. Chem. Phys. Lett. 356, 83 (2002).