Mikhail G Dozmorov

Summary

Affiliation: Oklahoma Medical Research Foundation
Country: USA

Publications

  1. pmc GenomeRunner: automating genome exploration
    Mikhail G Dozmorov
    Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104 5005, USA
    Bioinformatics 28:419-20. 2012
  2. pmc High-throughput processing and normalization of one-color microarrays for transcriptional meta-analyses
    Mikhail G Dozmorov
    Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation 825 NE 13th Street, Oklahoma City, Oklahoma 73104 5005, USA
    BMC Bioinformatics 12:S2. 2011
  3. pmc From microarray to biology: an integrated experimental, statistical and in silico analysis of how the extracellular matrix modulates the phenotype of cancer cells
    Mikhail G Dozmorov
    Department of Urology, Oklahoma University Health Sciences Centre, Oklahoma City, OK 73104, USA
    BMC Bioinformatics 9:S4. 2008
  4. pmc Elevated AKR1C3 expression promotes prostate cancer cell survival and prostate cell-mediated endothelial cell tube formation: implications for prostate cancer progression
    Mikhail G Dozmorov
    Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, 825 N, E, 13th Street, Oklahoma City, Oklahoma 73104, USA
    BMC Cancer 10:672. 2010
  5. pmc Unique patterns of molecular profiling between human prostate cancer LNCaP and PC-3 cells
    Mikhail G Dozmorov
    Department of Urology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73034, USA
    Prostate 69:1077-90. 2009
  6. pmc Systems biology approach for mapping the response of human urothelial cells to infection by Enterococcus faecalis
    Mikhail G Dozmorov
    Department of Urology, College of Medicine, Oklahoma University Health Sciences Center, PO Box 26901, Oklahoma City, OK 73190, USA
    BMC Bioinformatics 8:S2. 2007
  7. pmc Predicting gene ontology from a global meta-analysis of 1-color microarray experiments
    Mikhail G Dozmorov
    Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation 825 NE 13th Street, Oklahoma City, Oklahoma 73104 5005, USA
    BMC Bioinformatics 12:S14. 2011
  8. pmc 5alpha-androstane-3alpha,17beta-diol selectively activates the canonical PI3K/AKT pathway: a bioinformatics-based evidence for androgen-activated cytoplasmic signaling
    Mikhail G Dozmorov
    Department of Urology, University of Oklahoma Health Sciences Center, 800 Research Parkway, Room 462, Oklahoma City, OK, 73104, USA
    Genomic Med 1:139-46. 2007
  9. ncbi request reprint Differentially expressed gene networks in cultured smooth muscle cells from normal and neuropathic bladder
    Mikhail G Dozmorov
    Department of Urology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73034, USA
    J Smooth Muscle Res 43:55-72. 2007
  10. pmc Functional characterization of the MECP2/IRAK1 lupus risk haplotype in human T cells and a human MECP2 transgenic mouse
    Kristi A Koelsch
    Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
    J Autoimmun 41:168-74. 2013

Collaborators

Detail Information

Publications12

  1. pmc GenomeRunner: automating genome exploration
    Mikhail G Dozmorov
    Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104 5005, USA
    Bioinformatics 28:419-20. 2012
    ..Our goal is to provide partial automation of this process to begin examining associations between experimental features and annotated genomic regions in a hypothesis-free, data-driven manner...
  2. pmc High-throughput processing and normalization of one-color microarrays for transcriptional meta-analyses
    Mikhail G Dozmorov
    Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation 825 NE 13th Street, Oklahoma City, Oklahoma 73104 5005, USA
    BMC Bioinformatics 12:S2. 2011
    ..Methods to automatically process large repositories of microarray data into a standardized, directly comparable format will enable easier and more reliable access to microarray data to conduct meta-analyses...
  3. pmc From microarray to biology: an integrated experimental, statistical and in silico analysis of how the extracellular matrix modulates the phenotype of cancer cells
    Mikhail G Dozmorov
    Department of Urology, Oklahoma University Health Sciences Centre, Oklahoma City, OK 73104, USA
    BMC Bioinformatics 9:S4. 2008
    ..The resulting model was confirmed by comparing the predicted pattern of TREs with experimental determination of active transcription factors...
  4. pmc Elevated AKR1C3 expression promotes prostate cancer cell survival and prostate cell-mediated endothelial cell tube formation: implications for prostate cancer progression
    Mikhail G Dozmorov
    Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, 825 N, E, 13th Street, Oklahoma City, Oklahoma 73104, USA
    BMC Cancer 10:672. 2010
    ..Here we propose a novel pathological function of AKR1C3 in tumor angiogenesis and its potential role in promoting PCa progression...
  5. pmc Unique patterns of molecular profiling between human prostate cancer LNCaP and PC-3 cells
    Mikhail G Dozmorov
    Department of Urology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73034, USA
    Prostate 69:1077-90. 2009
    ....
  6. pmc Systems biology approach for mapping the response of human urothelial cells to infection by Enterococcus faecalis
    Mikhail G Dozmorov
    Department of Urology, College of Medicine, Oklahoma University Health Sciences Center, PO Box 26901, Oklahoma City, OK 73190, USA
    BMC Bioinformatics 8:S2. 2007
    ..We herein describe a novel means of analysis that is based on deconvolution of gene variability into technical and biological components...
  7. pmc Predicting gene ontology from a global meta-analysis of 1-color microarray experiments
    Mikhail G Dozmorov
    Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation 825 NE 13th Street, Oklahoma City, Oklahoma 73104 5005, USA
    BMC Bioinformatics 12:S14. 2011
    ..Our goal here is to define how sample, dataset size and ranking parameters affect prediction performance...
  8. pmc 5alpha-androstane-3alpha,17beta-diol selectively activates the canonical PI3K/AKT pathway: a bioinformatics-based evidence for androgen-activated cytoplasmic signaling
    Mikhail G Dozmorov
    Department of Urology, University of Oklahoma Health Sciences Center, 800 Research Parkway, Room 462, Oklahoma City, OK, 73104, USA
    Genomic Med 1:139-46. 2007
    ....
  9. ncbi request reprint Differentially expressed gene networks in cultured smooth muscle cells from normal and neuropathic bladder
    Mikhail G Dozmorov
    Department of Urology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73034, USA
    J Smooth Muscle Res 43:55-72. 2007
    ....
  10. pmc Functional characterization of the MECP2/IRAK1 lupus risk haplotype in human T cells and a human MECP2 transgenic mouse
    Kristi A Koelsch
    Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
    J Autoimmun 41:168-74. 2013
    ....
  11. pmc Abnormal expression of differentiation related proteins and proteoglycan core proteins in the urothelium of patients with interstitial cystitis
    Paul J Hauser
    Department of Urology, College of Medicine, Oklahoma University Health Sciences Center, Oklahoma City, Oklahoma, USA
    J Urol 179:764-9. 2008
    ....
  12. pmc Analysis of the interaction of extracellular matrix and phenotype of bladder cancer cells
    Mikhail G Dozmorov
    Department of Urology, Oklahoma University Health Sciences Centre, Oklahoma City, OK 73104, USA
    BMC Cancer 6:12. 2006
    ..Understanding how the extracellular matrix affects the phenotype of bladder cancer cells may provide important clues to identify new markers or targets for therapy...