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Amir Zadok Mitchell PhD

TitleAssistant Professor
InstitutionUniversity of Massachusetts Medical School
DepartmentProgram in Molecular Medicine
AddressUniversity of Massachusetts Medical School
55 Lake Avenue North
Worcester MA 01655
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    Other Positions
    InstitutionUMMS - School of Medicine
    DepartmentProgram in Molecular Medicine

    InstitutionUMMS - Graduate School of Biomedical Sciences
    DepartmentBioinformatics and Computational Biology

    InstitutionUMMS - Graduate School of Biomedical Sciences
    DepartmentCancer Biology

    InstitutionUMMS - Graduate School of Biomedical Sciences
    DepartmentInterdisciplinary Graduate Program

    InstitutionUMMS - Graduate School of Biomedical Sciences
    DepartmentMD/PhD Program

    InstitutionUMMS - Programs, Centers and Institutes
    DepartmentSystems Biology


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    Collapse Biography 
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    Tel Aviv University, Tel Aviv, , IsraelMSZoology
    Weizmann Institute of Science, Rehovot, , IsraelPHDMolecular Genetics

    Collapse Overview 
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    Visit the Mitchell Lab website



    I believe that addressing fundamental questions in Biology requires the collaborative work of scientists from diverse backgrounds. In my lab we combine experimental and theoretical approaches to tackle open questions in evolution, cell regulation and network structure. We emphasize creativity and original thinking in our research and strive to establish an open and supportive work environment. We welcome collaboration with other groups and are establishing a open access maker-space to help other labs with a “hacker” mentality interested in engineer their own experimental platforms. 



    Our lab studies the response of cellular networks to changing environments in health and disease. While the structure of regulatory pathways is studied extensively, far less is known about network re-organization under time-varying stimuli. Yet this under-explored dimension has broad implications – time-variant stimuli can culminate in extreme outcomes, from detrimental signaling catastrophes to anticipatory stress responses. We combine experimental and theoretical approaches to dissect network functionality and uncover its unique points of failure. We aim to exploit the network structure to therapeutically target subpopulations of diseased cells within a healthy host. 



    Collapse Rotation Projects


    We are looking for rotation students to visit our lab and participate in one of our ongoing research projects. Different aspects of the projects require different toolsets ranging from experimental biology to quantitative biology and mathematical modeling. Rotation students will have a chance to acquire new skill-sets and develop expertise required for implementing a quantitative approach for understanding cell regulation, signaling and evolution. Interested students should email Amir directly and briefly describe their academic background, future plans and interest in the lab.



    Current rotation projects:




    1. Monitoring recovery dynamcis of melanoma cells in response to targeted therapy: The project involves examining and quantifying different aspects of cell behavior, population dynamics and adaptive resistance to targeted therapy. Rotation students will examine cellular behavior of established cell-lines and will clone and engineer new live-cell reporters for microscopy based assays.    


    2. Multiplexed tracking of MAPK activity in mixed yeast cell populations: During the project students will help developing a novel appraoch for tracking of MAPK activity in mixed cell populations growing in  microfluidics chambers. Work will expose rotation students to multiple steps in the research, from designing and cloing live-cell reporter in yeast to the quantitative analysis of the signaling dynamcis with automatic image analysis software.

       



    Collapse Post Docs


    We are currently looking for a postdoc fellow interested in developing as a researcher in Systems Biology. Applicants with background in any of the following fields are invited to apply - molecular and cell biology, bioinformatics, computational biology, physics and computer sciences. Interested applicant should email Amir and CC Lisa Koss. Please include an updated CV and a cover letter describing your experience, research interests and achievements. Please also have a letter of recommendation sent separately to Amir (additional letters may be requested later).




    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. Mitchell A, Lim W. Cellular perception and misperception: Internal models for decision-making shaped by evolutionary experience. Bioessays. 2016 Sep; 38(9):845-9. PMID: 27461864.
      View in: PubMed
    2. Mitchell A, Wei P, Lim WA. Oscillatory stress stimulation uncovers an Achilles' heel of the yeast MAPK signaling network. Science. 2015 Dec 11; 350(6266):1379-83. PMID: 26586187.
      View in: PubMed
    3. Yona AH, Manor YS, Herbst RH, Romano GH, Mitchell A, Kupiec M, Pilpel Y, Dahan O. Chromosomal duplication is a transient evolutionary solution to stress. Proc Natl Acad Sci U S A. 2012 Dec 18; 109(51):21010-5. PMID: 23197825.
      View in: PubMed
    4. Mitchell A, Pilpel Y. A mathematical model for adaptive prediction of environmental changes by microorganisms. Proc Natl Acad Sci U S A. 2011 Apr 26; 108(17):7271-6. PMID: 21487001.
      View in: PubMed
    5. Mitchell A, Romano GH, Groisman B, Yona A, Dekel E, Kupiec M, Dahan O, Pilpel Y. Adaptive prediction of environmental changes by microorganisms. Nature. 2009 Jul 9; 460(7252):220-4. PMID: 19536156.
      View in: PubMed
    6. Mitchell A, Graur D. Inferring the pattern of spontaneous mutation from the pattern of substitution in unitary pseudogenes of Mycobacterium leprae and a comparison of mutation patterns among distantly related organisms. J Mol Evol. 2005 Dec; 61(6):795-803. PMID: 16315108.
      View in: PubMed
    7. Mayrose I, Mitchell A, Pupko T. Site-specific evolutionary rate inference: taking phylogenetic uncertainty into account. J Mol Evol. 2005 Mar; 60(3):345-53. PMID: 15871045.
      View in: PubMed
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