University of Washington - Chemistry
Master of Science
Chemistry
University of Washington
Doctor of Philosophy (PhD)
Chemistry
University of Washington
Introduction to the Principles and Practice of Clinical Research
English
Bachelor of Science (B.S.)
Chemistry
University of Hawaii at Manoa
Administrator for PanCAN Baltimore's social media accounts. Responsible for posting program information and promoting local events; responds to inquiries from the general public in a timely manner
and engages fans and followers
Pancreatic Cancer Action Network
Data Science
R
Characterization
Science
Data Analysis
Chemistry
Mass Spectrometry
Health Sciences
Protein Purification
NMR
Research
Multivariate Statistics
solid-state NMR
HPLC
Biostatistics
Statistics
MRI
Peptide Synthesis
Spectroscopy
Data Visualization
Silica Morphogenesis by Lysine-Leucine Peptides with Hydrophobic Periodicity
The use of biomimetic approaches in the production of inorganic nanostructures is of great interest to the scientific and industrial community due to the relatively moderate physical conditions needed. In this vein
taking cues from silaffin proteins used by unicellular diatoms
several studies have identified peptide candidates for the production of silica nanostructures. In the current article
we study intensively one such silica-precipitating peptide
LKα14 (Ac-LKKLLKLLKKLLKL-c)
an amphiphilic lysine/leucine repeat peptide that self-organizes into an α-helical secondary structure under appropriate concentration and buffer conditions. The suggested mechanism of precipitation is that the sequestration of hydrophilic lysines on one side of this helix allows interaction with the negatively charged surface of silica nanoparticles
which in turn can aggregate further into larger structures. To investigate the process
we carry out 1D and 2D solid-state NMR (ssNMR) studies on samples with one or two uniformly 13C- and 15N-labeled residues to determine the backbone and side-chain chemical shifts. We also further study the dynamics of two leucine residues in the sequence through 13C spin–lattice relaxation times (T1) to determine the impact of silica coprecipitation on their mobility. Our results confirm the α-helical secondary structure in both the neat and silica-complexed states of the peptide
and the patterns of chemical shift and relaxation time changes between the two states suggest possible mechanisms of self-aggregation and silica precipitation.
Silica Morphogenesis by Lysine-Leucine Peptides with Hydrophobic Periodicity
Tobias Weidner
Gary P. Drobny
Jim Pfaendtner
Helmut Lutz
Vance Jaeger
Joe E. Baio
Journal of the American Chemical Society
Silaffins
long chain polyamines and other biomolecules found in diatoms are involved in the assembly of a large number of silica nanostructures under mild
ambient conditions. Nanofabrication researchers have sought to mim-ic the diatom’s biosilica production capabilities by engineer-ing proteins to resemble aspects of naturally-occurring bio-molecules. Such mimics can produce monodisperse biosilica nanospheres – but in vitro production of the variety of intri-cate biosilica nanostructures that compose the diatom frus-tule is not yet possible. In this study we demonstrate how LK peptides
composed solely of lysine (K) and leucine (L) ami-no acids arranged with varying hydrophobic periodicities
initiate the formation of different biosilica nanostructures in vitro. When L and K residues are arranged with a periodicity of 3.5 the α-helical form of the LK peptide produces mono-disperse biosilica nanospheres. However
when the LK peri-odicity is changed to 3.0
corresponding to a 310 helix
the morphology of the nanoparticles changes to elongated rod like structures. ß-strand LK peptides with a periodicity of 2.0 induce wire-like silica morphologies. This study illustrates how the morphology of biosilica can be changed – simply by varying the periodicity of polar and non-polar amino acids.
Diatom mimics: directing the formation of biosilica nano-particles by controlled folding of lysine-leucine peptides
Luigi Ferrucci
Richard Spencer
Stephanie Studenski
Kenneth Fishbein
Eleanor Simonsick
Michelle Shardell
David Reiter
Muscle strength mediates the relationship between mitochondrial energetically and walking performance
Luigi Ferrucci
Stephanie A. Studenski
Marta Gonzalez-Freire
A. Z. Moore
David A. Reiter
Chee W. Chia
Elisa Fabbri
Diabetes
Whether individuals with insulin resistance but without criteria for diabetes exhibit reduced mitochondrial oxidative capacity is unclear; addressing this question could guide research for new therapeutics. We investigated 248 non-diabetic participants from the Baltimore Longitudinal Study of Aging (BLSA) to determine whether impaired mitochondrial capacity is associated with prediabetes
insulin resistance
duration and severity of hyperglycemia exposure. Mitochondrial capacity was assessed as post-exercise phosphocreatine recovery time constant (τPCr) by 31P-magnetic resonance spectroscopy
with higher τPCr reflecting reduced capacity. Prediabetes was defined using the American Diabetes Association criteria from fasting and 2-hr glucose. Insulin resistance and sensitivity were calculated using HOMA-IR and Matsuda Indices. Duration and severity of hyperglycemia exposure were estimated as number of years from prediabetes onset and average oral glucose tolerance test (OGTT) 2h-glucose over previous BLSA visits. Covariates included age
sex
body composition
physical activity and other confounders. Higher likelihood of prediabetes
higher HOMA-IR and lower Matsuda Index were associated with longer τPCr. Among 205 participants with previous OGTT data
greater severity and longer duration of hyperglycemia were independently associated with longer τPC. In conclusion
in non-diabetic individuals a more impaired mitochondrial capacity is associated with greater insulin resistance and higher likelihood of prediabetes.
Insulin Resistance is Associated with Reduced Mitochondrial Oxidative Capacity Measured by 31P Magnetic Resonance Spectroscopy in Non-Diabetic Participants from the Baltimore Longitudinal Study of Aging
Lower muscle mitochondrial energy production may contribute to impaired walking endurance in patients with peripheral arterial disease. A borderline ankle‐brachial index (ABI) of 0.91 to 1.10 is associated with poorer walking endurance compared with higher ABI. We hypothesized that in the absence of peripheral arterial disease
lower ABI is associated with lower mitochondrial energy production.\nWe examined 363 men and women participating in the BLSA with an ABI between 0.90 and 1.40. Muscle mitochondrial energy production was assessed by post‐exercise phosphocreatine recovery rate constant (kPCr) measured by phosphorus magnetic resonance spectroscopy of the left thigh. A lower post‐exercise phosphocreatine recovery rate constant reflects decreased mitochondria energy production.The mean age of the participants was 71±12 years. A total of 18.4% had diabetes mellitus and 4% were current and 40% were former smokers. Compared with participants with an ABI of 1.11 to 1.40
those with an ABI of 0.90 to 1.10 had significantly lower post‐exercise phosphocreatine recovery rate constant (19.3 versus 20.8 ms−1
P=0.015). This difference remained significant after adjusting for age
sex
race
smoking status
diabetes mellitus
body mass index
and cholesterol levels (P=0.028). Similarly
post‐exercise phosphocreatine recovery rate constant was linearly associated with ABI as a continuous variable
both in the ABI ranges of 0.90 to 1.40 (standardized coefficient=0.15
P=0.003) and 1.1 to 1.4 (standardized coefficient=0.12
P=0.0405).\nAn ABI of 0.90 to 1.10 is associated with lower mitochondrial energy production compared with an ABI of 1.11 to 1.40. These data demonstrate adverse associations of lower ABI values with impaired mitochondrial activity even within the range of a clinically accepted definition of a normal ABI. Further study is needed to determine whether interventions in persons with ABIs of 0.90 to 1.10 can prevent subsequent functional decline.
Lower Mitochondrial Energy Production of the Thigh Muscles in Patients with Low-Normal Ankle-Brachial Index
Ariel
Zane
University of Washington
National Institute of Allergy and Infectious Diseases (NIAID)
The National Institutes of Health
Medical Science & Computing (MSC)
Rockville
Maryland
Health Science Policy Analyst
National Institute of Allergy and Infectious Diseases (NIAID)
Seattle
WA and Bothell
WA
• Delivered 100 lecture and laboratory hours
adapting in-depth chemistry material for an introductory-level audience\n• Managed seven teaching assistants and worked with support staff to maintain course organization and effective communication with students\n• Designed discussion section worksheets and exams to assess student understanding of the material; assigned final grades\n• Introduced students to analytical instrumentation and cultivated data processing skills; emphasized safety procedures and set foundations for good laboratory techniques
Lecturer and Laboratory Instructor
University of Washington
Bethesda
Maryland
• Uses scientific expertise in aging relevant fields to review and code institute grants and awards
according to NIH-wide framework criteria\n• Develops metrics
analyzes data and prepares slide decks to respond to ad hoc data requests and evaluate research program effectiveness and track grant award success\n• Participates in staff meetings and contributes to multiple concurrent team projects\n• Stays abreast of current aging literature
Scientific Program Analyst Intern
Office of Planning
Analysis and Evaluation
The National Institutes of Health
Baltimore
Maryland Area
•\tTests models and executes statistical analyses on large datasets (compiled from a shared database)
to quantitatively assess the process of aging; prepares well-documented R scripts for analyses\n•\tContributes to multiple projects and deadlines
delivers regular progress reports and data assessments to the Scientific Director of the NIA \n•\tSupports a large clinical study as part of a cross-functional team
communicating with clinicians
scientists
administrative staff
participants\n•\tInnovated data processing and storage procedures to reduce processing time and extract additional information from existing data
improving performance cost ratios\n•\tManages a junior group member
supervises progress and training\n• Guides study participants through the clinical MRI process
presenting technical information and instructions in succinct
accessible formats
Postdoctoral Fellow
The National Institutes of Health
Rockville
Maryland
• Part of the Office of Strategic Planning
Initiative Development and Analysis at NIAID \n• Uses bibliometric tools and statistical software to curate
clean
and analyze large scientific research portfolios
employing methods like network and topic analysis
text mining
and machine learning
to track grant success
publication rates
and map how fields change over time\n• Writes scripts in R to streamline data cleaning and analysis pipelines
establishing new workflows and developing other metrics of success\n• Contributes to multiple concurrent team projects
supports research program directors and other senior leaders\n• Stays abreast of current literature in scientometrics
as well as immunology
infectious disease
and vaccine literature\n• Uses data to evaluate and inform science management policy\n• Part of the first cohort of the HHS Data Science CoLab
Health Science Analyst
Medical Science & Computing (MSC)