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Shinya Tasaki

Title
InstitutionRush University, Rush Medical College
DepartmentNeurological Sciences
Address
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    Collapse Biography 
    Collapse awards and honors
    2007Research assistant fellowship, Medical Genome Science Program
    2008 - 2009Research assistant fellowship, Global Center of Excellence (G-CoE), Elucidation of Language Structure and Semantics behind Genome and Life Systems
    2014Senior Director's Award (CLK inhibitor), Takeda
    2014Director's Award (TRINTELLIX-antidepressant), Takeda
    2015Director's Award (RSLV132), Takeda

    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.
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    1. Lim ASP, Gaiteri C, Yu L, Sohail S, Swardfager W, Tasaki S, Schneider JA, Paquet C, Stuss DT, Masellis M, Black SE, Hugon J, Buchman AS, Barnes LL, Bennett DA, De Jager PL. Seasonal plasticity of cognition and related biological measures in adults with and without Alzheimer disease: Analysis of multiple cohorts. PLoS Med. 2018 Sep; 15(9):e1002647. PMID: 30180184.
      View in: PubMed
    2. Tasaki S, Gaiteri C, Mostafavi S, Yu L, Wang Y, De Jager PL, Bennett DA. Multi-omic Directed Networks Describe Features of Gene Regulation in Aged Brains and Expand the Set of Genes Driving Cognitive Decline. Front Genet. 2018; 9:294. PMID: 30140277.
      View in: PubMed
    3. Tasaki S, Suzuki K, Kassai Y, Takeshita M, Murota A, Kondo Y, Ando T, Nakayama Y, Okuzono Y, Takiguchi M, Kurisu R, Miyazaki T, Yoshimoto K, Yasuoka H, Yamaoka K, Morita R, Yoshimura A, Toyoshiba H, Takeuchi T. Multi-omics monitoring of drug response in rheumatoid arthritis in pursuit of molecular remission. Nat Commun. 2018 Jul 16; 9(1):2755. PMID: 30013029.
      View in: PubMed
    4. Gaiteri C, Dawe R, Mostafavi S, Blizinsky KD, Tasaki S, Komashko V, Yu L, Wang Y, Schneider JA, Arfanakis K, De Jager PL, Bennett DA. Gene expression and DNA methylation are extensively coordinated with MRI-based brain microstructural characteristics. Brain Imaging Behav. 2018 Jun 22. PMID: 29934819.
      View in: PubMed
    5. Mostafavi S, Gaiteri C, Sullivan SE, White CC, Tasaki S, Xu J, Taga M, Klein HU, Patrick E, Komashko V, McCabe C, Smith R, Bradshaw EM, Root DE, Regev A, Yu L, Chibnik LB, Schneider JA, Young-Pearse TL, Bennett DA, De Jager PL. A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer's disease. Nat Neurosci. 2018 Jun; 21(6):811-819. PMID: 29802388.
      View in: PubMed
    6. 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
    7. 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
    8. 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.
    9. Kozuka-Hata H, Tasaki S, Oyama M. Phosphoproteomics-based systems analysis of signal transduction networks. Front Physiol. 2011; 2:113. PMID: 22291655; PMCID: PMC3250057.
    10. 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.
    11. 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.
    12. 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
    13. 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
    14. 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
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