Vladimir Kuznetsov profile picture
315 464-7664

Vladimir Kuznetsov, PhD

1271 Weiskotten Hall
766 Irving Avenue
Syracuse, NY 13210
Vladimir Kuznetsov's email address generated as an image

CURRENT APPOINTMENTS

Professor of Urology
Professor of Biochemistry and Molecular Biology

LANGUAGES

English
Russian

WEB RESOURCES

Jenjaroenpun P, Kuznetsov VA. TTS mapping: integrative WEB tool for analysis of triplex formation target DNA sequences, G-quadruplets and non-protein coding regulatory DNA elements in the human genome. BMC Genomics. 2009 Dec 3;10 Suppl 3:S9.
Wongsurawat T, Woo CC, Giannakakis A, ..., Kuznetsov VA, Sorokin V. Distinctive molecular signature and activated signaling pathways in aortic smooth muscle cells of patients with myocardial infarction. Atherosclerosis. 2018 Apr;271:237-244.
Wang J, Jenjaroenpun P, Bhinge A, Angarica VE, Del Sol A, Nookaew I, Kuznetsov VA, Stanton LW. Single-cell gene expression analysis reveals regulators of distinct cell subpopulations among developing human neurons. Genome Res. 2017 Nov;27(11):1783-1
Predictive tool to identify sequences causing mutations, genome instability and diseases
Chen L,..., Kuznetsov VA, Thiery JP. Transposon insertional mutagenesis in mice identifies human breast cancer susceptibility genes and signatures for stratification. Proc Natl Acad Sci U S A. 2017 Mar 14;114(11):E2215-E2224.
R-loop Data Base
QmRLFS-finder: a model, web server and stand-alone tool for prediction and analysis of R-loop forming sequences
Ow, G. S. and Kuznetsov, V. A. Big genomics and clinical data analytics strategies for precision cancer prognosis. Sci. Rep. 6, 36493
Genomic Data Improves Breast Cancer Diagnosis & Treatment Read more from Asian Scientist Magazine
Grinchuk OV, Yenamandra SP,..., Chow PK,Kuznetsov VA. Tumor-adjacent tissue co-expression profile analysis reveals pro-oncogenic ribosomal gene signature for prognosis of resectable hepatocellular carcinoma. Mol Oncol. 2018 12(1):89-113.

RESEARCH PROGRAMS AND AFFILIATIONS

Biochemistry and Molecular Biology
Biomedical Sciences Program
Urology

RESEARCH INTERESTS

Cancer systems biology, bioinformatics, big data and survival prediction analyses, predictive and personalized medicine, computational genome and transcriptome biology, non-B DNA structures, RNA:DNA hybrids, R-loops, G-quadruplexes, ncRNAs, clinical biomarker discovery and validation

EDUCATION INTERESTS

Bioinformatics, computational and statistical genomics, systems biology of cancer

ASSOCIATIONS / MEMBERSHIPS

American Association for Cancer Research (AACR), Active Member

EDUCATION

Additional Training: NIH, Bethesda MD, 2004, bioinformatics and cancer genomics
PhD: Moscow State University, Russia, 1984, biophysics

RESEARCH ABSTRACT

Current research projects and focus areas: computational and systems biology of cancer, genome and transcriptome integrity and instability, statistical genomics and bioinformatics, secondary nucleic acid sequence structures, RNA-DNA hybrids and computational R-loop biology, non-coding DNA and RNA, single cell transcriptome kinetics, diversity, bifurcations in cell differentiation and proliferation, integrative sequence databases, big data and NGS data analytics strategies, quantitative oncoimmunology, methods for personalized cancer diagnostics and prognosis and non-invasive detection of malignancy, and the development of innovative methods of identification and validation of clinically relevant onco-markers.

PUBLICATIONS

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