Project Data
Resume:
ASHWINI SHESHASAYEE
Arlington, VA – 22209
***.*******@*****.***
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EDUCATION
Georgetown University, Washington D.C
M.S Biochemistry and Molecular Biology December 2011
Padmashree Dr D.Y Patil University of Biotechnology and Bioinformatics, Mumbai, India
Bachelor of Technolo gy (B.Tech) Biotechnology July 2010
EXPERIENCE
Research Assistant
National Human Genome Research Institute, NIH, Maryland June 2012 to present
Currently working in the Lab of Genetics and Molecular biology
- Studying the patho -physiology of Methy Malonic Acid (MMA) disorder using liver directed
recombinant AAV gene delivery in model organisms
National Cancer Institute, NIH, Maryland January 2012 to May 2012
Worked at the Lab of Receptor Biology and Gene expression
- Investigated the contribution of MR-to-GR dimer interactions to gene regulation in the same
cell type by using co-immunoprecipitation and ChIP experiments.
Research project for Masters degree
June 2011 – December 2011
Georgetown University Medical Center, Washington D.C
Title :“Characterization of eNOS in Breast Cancer”
- Determined the presence of eNOS and nitrite in hormone dependent and hormone
independent breast cancer cell lines by a quantitative and nitrite assay study and using
western blot analysis.
Bioinformatics Project Intern
June 2011 – October 2011
Georgetown University Medical Center, Washington D.C
Worked on a Data Curation project
- Carried out manual curation, structural curation, and text curation of biological data (both
binding and functional assay results) of drug-target associations deposited in the public data
bases such as bindingDB and ChemBL
Research Assistant
Institute of Molecular and Cell Biology (IMCB), A*STAR, Singapore
January 2010 – June 2010
Worked for the Undergraduate thesis project
Title : “New genes discovered in Retrograde traffic siRNA screen”
- Identified 13 new genes by a High throughput RNAi screen, possessing a transmembrane
domain and involved in the retrograde transport pathway which is misused by harmful toxins
causing harmful effects in the cell.
- Examined the specific localization of 13 new genes in the ER and Golgi by preparing
fluorescence protein tagged plasmid vectors by cloning, transform them in bacteria, isolation
of the plasmid, sequencing, lipid based transfection in the HeLa cells, Immunofluorescence
technology and fluorescence imaging.
2
P UBLICATIONS
Sivanesan Dakshanamurthy, Naiem T. Issa, Shahin Assefnia, Ashwini Seshasayee, Oakland J. Peters,
Subha Madhavan, Aykut Uren, Milton L. Brown and Stephen W. Byers
P redicting New Indications for Approved Drugs Using a Proteochemometric Method
J. Med. Chem., 10.1021 (2012)
TECHNICAL SKILLS
Molecular Biology
Construction and cloning of Recombinant DNA (Gateway Invitrogen technology)
Primer designing and Plasmid DNA isolation : Mini, Midi and maxi prep
Protein, DNA and RNA extraction from cells and tissues
SDS PAGE and Agarose gel electrophoresis
Western blot and Southern blot analysis
CoImmunoprecipitation and Chromatin Immunoprecipitation (ChIP)
Protein purification through Ion exchange chromatography
Tissue/Cell Culture
Basic cell culturing : culturing, passaging, freezing and seeding cells on plates
Lipid based Transfection, siRNA transfection and co-transfection
Induction and study of Apoptosis
Instrumentation and Diagnostic skills
qRT PCR
HPLC, UV-vis Spectrophotometer ( Nanodrop)
ELISA
Robotic Liquid handling sampler (Tecan Group Ltd)
Cytogenetics and Microbiological skills
Fluorescent Microscopy and Immunfluorescence technology
Immunohistochemistry and Immunocytochemistry
Standard bacterial plating and liquid cultur e
Bacterial Transformation
Animal work
Basic mice handling (restrain) and euthanizing
Bioinformatics
Curation of protein data and validation, Data mining, Chemiinformatics
Proficient in using various bioinformatics tools and databases
Vector NTI sequencing software and sequencher for DNA analysis, Image J software
Data Analysis using SAS
Proficient in SAS programming that involves data extraction, data processing and quantitative/
qualitative data analysis
Extensive knowledge in using all SAS functions, data steps, procedures, graphs and macros.
Computer skills
MS office : Word, Excel, Powerpoint, Outlook ; Adobe Illustrator, Pivot table, Basic HTML
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