1. Doctoral research- Stony Brook University
I am currently working in Dr. Ira Cohen’s laboratory
studying repair of myocardium.
Specifically, I investigate mechanisms of atrial regeneration. I am learning a lot about cardiac physiology
and pathology, stem cell molecular biology, biomaterials, surgical preparations
and imaging. I am co-advised by Dr.
Glenn Gaudette (a recent SB BME faculty member) who is now an Assistant
Professor of Surgery at the University of Massachusetts. I am very excited about the work in my
laboratory and look forward to spending more time on my projects.
2. Graduate laboratory
rotations- Stony Brook University
In the summer before starting medical school, I performed a short
rotation in Dr. Yi Xian Qin’s laboratory.
Here I worked with a post-doctoral fellow to initiate the use of wavelet
analysis to study ultrasound signals from bone scans. The following summer, I studied under Dr. Molly Frame, learning
about microcirculation, fluid mechanics in a hamster cheek pouch model and
angiogenesis. This background in
vascular physiology nicely complemented my passion for pathology and
atherosclerosis (see below). Since I
had spent 4 years studying vascular disease at the University of Pennsylvania, I
had a good sense of the literature in the field. Dr. Frame and I realized that almost every study of endothelial
dysfunction in atherosclerosis focused on the role of these cells in large
vessels (carotid arteries, aorta, renal branch arteries, etc.). Recognizing that microvascular endothelial
cells (ECs) outnumber macrovascular ECs by over 1000-fold and that these cells
are not protected from the upregulated inflammatory and oxidative state in the
circulation, we proposed to study the role of microvascular ECs in
atherosclerosis.
3. Undergraduate Research
at the Institute for Medicine and Engineering- University of Pennsylvania
I began working at the Institute for Medicine and Engineering as a
freshman at Penn in 1998. I was
mentored initially by Dr. Victor Rizzo and later by Dr. Brian Helmke and Dr.
Peter Davies. My major research
activity at the University of Pennsylvania was a project measuring
spatiotemporal deformation of cytoskeleton in living endothelial cells under
hemodynamic flow. The study aimed to
characterize the strain in the cytoskeletal network in response to apical shear
stress. Endothelial dysfunction is
believed to be the primary event in the formation of atherosclerotic
plaques. These lesions form in
predictable locations of the vascular tree, described by disturbed flow with
low mean shear stresses. Regions of
vessels where flow is laminar and mean shear stress is high are protected from
atherogenesis. Thus, regional
hemodynamics is a critical determinant in the specificity of the disease. Many studies have attempted to determine the
molecular reasons for this, attributing much to mechanotransduction
events. Our work was important because
we were the first group to measure intracellular strain using an endogenous
marker. Our studies and methods can now
be paired with molecular approaches to form a cohesive picture of how
endothelium responds to different mechanical environments.
We transfected bovine aortic endothelial cells with a green
fluorescent protein (GFP) plasmid to visualize the cytoskeletal intermediate
filament vimentin. GFP-vimentin was visualized
at steady state and then flow was initated at 12 dyne/cm2. Epifluorescence images were acquired of
single cells at three different z-planes: 0.3 mm, 2.4 mm, and 4.6 mm above the cover slip. Deconvolution
and image reconstruction were performed.
One of my major contributions to the project was a robust image
processing scheme to measure strain from the fluorescence image slices. This involved a series of filters,
thresholding and binary operations in MatLab and IDL. We identified vertices in the cytoskeletal network and tracked
the movement of these vertices in time.The algorithm implemented a Delaunay
triangulation to connect neighboring points in a network of triangles. For each triad in the sub-region, over a
time interval, the Lagrangian strain tensor, Eij was computed. Principal values of strain EI and
EII were computed as the eigenvalues of Eij. The principal stretch ratios λI,
and λII were computed from the principal strains. The product of the two stretch ratios was
also computed to verify volume conservation in a given cell slice. The algorithm outputted color maps of
regional magnitude and direction of strain for each of the z-sections and for
each time interval (before flow onset and after terminating flow).
Our data showed that apical forces (in this case, fluid shear
stresses) are transferred across the membrane to the cell lumen via changes in
strain in the cytoskeletal network. We
found alignment of strain vectors and strain focusing at cell-cell
junctions. These are often sites of
important molecular signaling events, emphasizing the role of mechanics in
signal transduction.
Findings from this project were published in
April 2003:
Helmke, B.P., Rosen, A.B., and Davies, P.F. Mapping
mechanical strain of an endogenous cytoskeletal network in living endothelial
cells. Biophysical Journal. 84:2691-2699, 2003.
3. Undergraduate Research
at the Institute for Medicine and Engineering, Part II- University of
Pennsylvania
Beginning in the
summer of 2001, Drs. Davies and Helmke and I began using a 2-D video microscopy
system to address the question of whether the cytoskeletal deformation was a
passive or active process. We developed
a novel algorithm to measure the time constant for deformation by studying
temporal correlation maps of images at 1-second intervals after the onset of
flow. Preliminary findings from that study showed that the deformation of
vimentin cytoskeleton is a passive process, occurring well before the time
constant for protein remodeling.
4. Senior Design Project in
Bioengineering- University of Pennsylvania
For my Senior Design Project for the bioengineering major, I
designed computer algorithms for image processing in a Radiology
laboratory. In the fall of 2001, I
began working on a project with Dr. Leon Axel, who was developing techniques to
quantify cardiac mechanics from tagged magnetic resonance (MR) images. To consider the relationship between heart
disease and myocardial mechanics, correlative techniques have been developed
with the use of tagged MRI. This
process creates a spatial modulation in the longitudinal magnetization of the
heart (SPAMM), resulting in a tag on the myocardium. The process changes the magnetic spin of the tissue in a discrete
region in space at an instantaneous time point; any subsequent motion of the
material within that region is defined by the motion of the underlying
tissue. Thus the tag, or region of
diminished intensity in the 2-D image can be used to track motion of the heart
wall and ultimately compute strain in the tissue. Dr. Axel and his graduate students had a challenge for me: they
were trying to extract the image features (tags and heart wall contours) from
the 2-D images, but they had no known model upon which to test their
algorithms. I generated a computer
phantom of a heart with user-defined geometry and dynamic properties in MatLab. Once the model was generated, the user could
embed tags into the “heart,” define an imaging plane and generate synthetic
images of tagged “myocardium.” The
other members of the lab could then use these images to test their feature
extraction algorithms against defined locations and movements of “heart” features.


5. Research at Brookhaven National Laboratories
As a junior in high
school, I began working with Dr. Diane Cabelli in the Chemistry Department of
Brookhaven National Labs. Dr. Cabelli
mentored me as I performed work for which I was ultimately named a Semi-Finalist
in the National Westinghouse Competition.
The following is the abstract from this project:
Generation of OH Radicals from Superoxide Dismutase: A Potential Relationship to Amyotrophic
Lateral Sclerosis
The genetic defect associated with familial Amyotrophic Lateral
Sclerosis (fALS) is a single-site mutation on an enzyme, superoxide dismutase
(SOD). Deleterious effects of fALS are suspected to be initiated by the
generation of hydroxide free radicals from SOD and peroxide.Investigation of
this reaction over various pH ranges and ionic concentrations may shed new
light on SOD's role in ALS. This study revealed a difference between reactions
of non-mutated and mutated SOD by suggesting that, in certain mutants, H2O2 is
the reactant, while in native enzyme, it is HO2. This research also demonstrated
that HO2 and O2 have similar ionic effects in the system.