 |
The instructor has set up a research lab in
molecular biophysics, funded by startup funds through
Kenyon College and
HHMI. The research
projects center on obtaining good science data as well as
providing research opportunities to Kenyon students throughout
the school year. In the summer, a student from Oberlin
College and a chemistry teacher from Mt. Vernon High School
participated as well. The research program focuses on
technological and materials issues hindering efforts in
high-throughput macromolecular structure determination. The
experiments address two major questions: 1) why is the
crystallization of biological molecules such as proteins,
nucleic acids, and viruses so difficult for some macromolecules
and 2) why are some biological molecules very sensitive to
radiation when exposed to x-rays. The first part entails setting
up crystallization experiments that map out the relevant
phase-states that aid in understanding physical parameters
driving crystallization via free energy minimization. The second
part involves designing experiments that help in understanding
the physico-chemical mechanisms implicated in radiation damage.
The research exposes undergraduate students to chemistry,
biology, and physics and gives them an opportunity to be a part
of a truly interdisciplinary enterprise.
Introduction
Many genomes are being sequenced and analyzed on a large
scale today. With the completion of the human genome in
particular, the next feat is to solve structures and understand
function of all proteins, viruses, nucleic acids, and other
biological molecules. Knowing the structure and function of
biological molecules helps not only exploring metabolic pathways
from genes to phenotypes, but also taking rational approaches to
disease treatment and drug design. Although the methods of
genome sequencing have progressed at an incredible pace, the
same cannot be said of methods used in the discovery of proteome
– protein structures are determined at a relatively slow pace.
Of the estimated 50,000 naturally occurring protein structure
families, only 1,500 unique protein structures have been solved
and deposited in the Protein Data Bank to-date; that is, only 3%
of all proteins have their structures known [1]. The most
optimistic forecasts project the rate of structure solutions at
about 1,000 to 3,000 proteins per year, and if no improvements
are made to experimental strategies and data collection, it will
take several decades to complete the structure solution of the
entire human proteome.The two most popular methods used for
macromolecular structure determination are x-ray diffraction
contributing about 80% of all solved biological molecules and
nuclear magnetic resonance contributing the remaining 20% of
known structures. The NMR is limited to short peptides and small
size proteins, and while x-ray diffraction can be used to solve
the structure of any size protein, nucleic acid, virus, or their
complexes, the method requires that the biological molecules be
crystallized. Nevertheless, the advantages of high resolution
and high throughput capability make x-ray diffraction the
preferred method of choice.
Crystallization
Current attempts at crystallization of biological molecules
take an entirely empirical approach to finding conditions best
suited for crystal growth. A large number (thousands) of small
drops varying in reagent concentrations are set up with the help
of automated equipment in hopes that at least one drop yields
crystals. Although the thermodynamic and kinetic principles
driving the macromolecular crystal growth are the same as those
driving the well-understood crystal growth of small molecules,
predicting the equilibrium phase states for macromolecular
crystal growth is problematic. The difficulty comes because of
the large number of inter molecular interactions playing role in
macromolecular crystallization, such as charge, stereochemistry,
hydrophobic and hydrophilic interactions, and the various
interactions of the macromolecule with the solvent molecules.
Recent computational simulations point to an enhancement of
crystallization near a metastable fluid-fluid critical point (of
a globular protein in an aqueous buffer), where the free-energy
barrier for crystal nucleation is drastically reduced [2]. A
series of crystallization experiments mapping out the
phase-state diagram can test this numerical result by
systematically changing the concentration and composition of
solvent (addition of polymers such as polyethylene glycol is
known to affect the range of protein-protein interactions).
X-ray Radiation Damage
Some macromolecular crystals are so radiation sensitive that
multiple crystals are needed to collect complete datasets.
Needing to combine data from multiple crystals undermines the
speed and accuracy in determining the structure. The single most
effective method used in reducing radiation sensitivity of
biological molecules today is flash cooling. Crystals are
rapidly frozen in liquid nitrogen and exposed to the x-ray beam
under liquid nitrogen stream. Although freezing can degrade
quality of crystals, flash cooling has been so effective in
reducing radiation sensitivity that the vast majority of data
today are collected on crystals held at cryogenic temperatures
[3]. Some crystals, however, cannot be successfully frozen and
even if frozen, some crystals can die within seconds at the
extremely high-flux beamlines of third generation synchrotrons.
There is a clear need for discovering key elements in mechanism
of radiation damage in order to solve, or improve the accuracy
in solving, structure of crystals (various membrane proteins and
also viruses are particularly sensitive).
 |
The change in relative B-factor per dose stays
roughly independent of the mass-energy absorption
coefficient (given by the crystal composition) |
X-rays can interact with matter inelastically via processes
such as photoelectric effect, Compton scattering, and pair
production or elastically via Rayleigh scattering. Depending on
the photon energy and the composition of the sample, these
processes contribute to the x-ray interaction in various
proportions. The inelastic processes deposit energy in the
crystal thereby making the molecule radiation sensitive while
the elastic scattering contributes to useful data. The
objectives are thus fairly simple: minimize inelastic and
maximize elastic scattering. Although these objectives are
straightforward in principle, given the lack of measurements
that quantifiably assess rates of radiation damage, implementing
these objectives remains largely guesswork based on unconfirmed
reports.
At the usual wavelengths used for macromolecular diffraction (8
to 20KeV), photoelectric effect is the dominating inelastic
process. An atom may absorb a photon, and either the atom
fluoresces or its inner core electrons are ejected. The
fluorescent x-rays may hit nearby atoms whose electrons may be
ejected, creating a cascade of events that produce an abundance
of highly reactive electrons in the crystals. At room
temperatures, the x-rays also hit solvent molecules creating
radiolytic products (water disassociates into hydrogen and
hydroxyl radicals). The severity of radiation damage depends on
what happens to these electrons and other radiolytic products in
the crystal. The radical species diffuse throughout the crystal
and react chemically with protein residues, even at positions
far from the initial hits. At low temperatures, where diffusion
is limited, the damage is confined in the vicinity of the hit
area. Systematically comparing rates of radiation damage at room
and cryogenic temperatures helps quantifying various physical
and chemical pathways of radiation damage.
Note
Some research will be carried out at national laboratories,
giving the undergraduates the opportunity to be involved in a
large-scale research environment. This will involve taking two
or three students to a synchrotron such as the APS at Argonne
National Laboratory or CHESS at Cornell University for a few
weeks during the summer to do experiments that cannot be
performed at a small school.
References
[1] H.M. Berman, J. Westbrook, Z. Feng, G. Gilliland, T.N.
Bhat, H. Weissig, I.N. Shindyalov, P.E. Bourne: The Protein Data
Bank. Nucleic Acids Research, 28, 235-242 (2000)
[2] P.R. ten Wolde, and D. Frankel, Science, 277, 1975-1977
(1997)
[3] E.F. Garman, and T.R. Schneider, J. Appl. Cryst., 30,
211-237 (1997)
[4] Z. Dauter, M. Dauter, KR Rajashankar, Acta Cryst. D, 56,
232-237 (2000)
[5] C. von Sonntag, The chemical basis of radiation biology,
London ; New York : Taylor & Francis, (1987)
|
 |