Last Name

Shinya Tasaki

InstitutionRush University, Rush Medical College
DepartmentNeurological Sciences
vCardDownload vCard

    Collapse Overview 
    Collapse overview
    Shinya Tasaki is a computational biologist at the Rush Alzheimer’s Disease Center and an assistant professor at Rush University Medical Center. His current research activities focus on building healthcare solutions for aging and Alzheimer’s disease by unifying different types of biomedical information. Before joining Rush, he worked in the pharmaceutical industry and experienced a broad range of drug discovery processes, such as target identification, portfolio prioritization, translational and personalized medicine. Data-driven hypotheses feed into collaborations with wet lab biologists and clinicians, and together we verify and refine the predictions to contribute to better healthcare programs.

    Collapse Bibliographic 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
    List All   |   Timeline
    1. Tasaki S, Suzuki K, Nishikawa A, Kassai Y, Takiguchi M, Kurisu R, Okuzono Y, Miyazaki T, Takeshita M, Yoshimoto K, Yasuoka H, Yamaoka K, Ikeura K, Tsunoda K, Morita R, Yoshimura A, Toyoshiba H, Takeuchi T. Multiomic disease signatures converge to cytotoxic CD8 T cells in primary Sjögren's syndrome. Ann Rheum Dis. 2017 Aug; 76(8):1458-1466. PMID: 28522454.
      View in: PubMed
    2. Funnell T, Tasaki S, Oloumi A, Araki S, Kong E, Yap D, Nakayama Y, Hughes CS, Cheng SG, Tozaki H, Iwatani M, Sasaki S, Ohashi T, Miyazaki T, Morishita N, Morishita D, Ogasawara-Shimizu M, Ohori M, Nakao S, Karashima M, Sano M, Murai A, Nomura T, Uchiyama N, Kawamoto T, Hara R, Nakanishi O, Shumansky K, Rosner J, Wan A, McKinney S, Morin GB, Nakanishi A, Shah S, Toyoshiba H, Aparicio S. CLK-dependent exon recognition and conjoined gene formation revealed with a novel small molecule inhibitor. Nat Commun. 2017 02 23; 8(1):7. PMID: 28232751.
      View in: PubMed
    3. Tasaki S, Sauerwine B, Hoff B, Toyoshiba H, Gaiteri C, Chaibub Neto E. Bayesian network reconstruction using systems genetics data: comparison of MCMC methods. Genetics. 2015 Apr; 199(4):973-89. PMID: 25631319; PMCID: PMC4391572.
    4. Kozuka-Hata H, Tasaki S, Oyama M. Phosphoproteomics-based systems analysis of signal transduction networks. Front Physiol. 2011; 2:113. PMID: 22291655; PMCID: PMC3250057.
    5. Kurotaki N, Tasaki S, Mishima H, Ono S, Imamura A, Kikuchi T, Nishida N, Tokunaga K, Yoshiura K, Ozawa H. Identification of novel schizophrenia loci by homozygosity mapping using DNA microarray analysis. PLoS One. 2011; 6(5):e20589. PMID: 21655227; PMCID: PMC3105082.
    6. Tasaki S, Nagasaki M, Kozuka-Hata H, Semba K, Gotoh N, Hattori S, Inoue J, Yamamoto T, Miyano S, Sugano S, Oyama M. Phosphoproteomics-based modeling defines the regulatory mechanism underlying aberrant EGFR signaling. PLoS One. 2010 Nov 10; 5(11):e13926. PMID: 21085658; PMCID: PMC2978091.
    7. Ono S, Imamura A, Tasaki S, Kurotaki N, Ozawa H, Yoshiura K, Okazaki Y. Failure to confirm CNVs as of aetiological significance in twin pairs discordant for schizophrenia. Twin Res Hum Genet. 2010 Oct; 13(5):455-60. PMID: 20874467.
      View in: PubMed
    8. Oyama M, Kozuka-Hata H, Tasaki S, Semba K, Hattori S, Sugano S, Inoue J, Yamamoto T. Temporal perturbation of tyrosine phosphoproteome dynamics reveals the system-wide regulatory networks. Mol Cell Proteomics. 2009 Feb; 8(2):226-31. PMID: 18815124.
      View in: PubMed
    9. Tasaki S, Nagasaki M, Oyama M, Hata H, Ueno K, Yoshida R, Higuchi T, Sugano S, Miyano S. Modeling and estimation of dynamic EGFR pathway by data assimilation approach using time series proteomic data. Genome Inform. 2006; 17(2):226-38. PMID: 17503395.
      View in: PubMed
    Tasaki's Networks
    Click the "See All" links for more information and interactive visualizations!
    Concepts Expand Description
    Co-Authors Expand Description
    Similar People Expand Description
    Same Department Expand Description