Ariel Zane

 ArielC. Zane

Ariel C. Zane

  • Courses1
  • Reviews1

Biography

University of Washington - Chemistry


Resume

  • 2008

    Master of Science

    Chemistry

    University of Washington

    Doctor of Philosophy (PhD)

    Chemistry

    University of Washington

    Introduction to the Principles and Practice of Clinical Research

  • 2004

    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)

BCHEM 14415

5(1)