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    Dynamic analysis

    of mammalian signal transduction

    pathways

    Eric Batchelor

    LP Systems Biology Section

    Confidential

    (distribute only to Laboratory of Pathology Strategic Visioning Committee Members)

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    Primary Research Area

    - Signal transduction in individual cells

    - focus on p53 and c-Myc

    - Long-term time-lapse fluorescence microscopy

    - Predictive computational modeling

    - Big Translational Goal: identify noveltherapeutic approaches for disease

    treatment

    DNA repair anda return to the cell cycle Senescence

    p53le

    vels

    time (h)

    cell #1 cell #2 cell #3

    -radiation

    p53l

    evels

    time (h)

    -radiation + novel drug dosing regimen

    cell #1 cell #2 cell #3

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    Examples from Research Area

    - General interest in developing / using single-cell approaches

    - Population averaged measurements mask true behavior of cells

    - Example of current project:

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    Research Implications

    Implications / overlap for LP research: LP area of expertise in signal transduction pathways important for cancer

    Focus on variability / heterogeneity of responses in individual cells

    Computational tools network analysis and image analysis

    Experimental tools long-term time-lapse imaging

    Potential clinical applications:

    Primary focus on basic research, but establishing collaborations with clinical

    researchers

    Potential development of pathway dynamic perturbations for novel therapeutic

    approaches, in p53 pathway in particular Development of analytical tools that may be useful for diagnostics

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    Future Directions

    5-year research goals:

    Identify role of p53 dynamics on the regulation of p53 target genes

    Elucidate the regulatory logic of the sub-networks of p53 target genes from single

    cell transcriptional analysis

    Apply similar approaches to refine our mechanistic understanding of c-Myc

    regulation

    10-year research goals:

    Develop novel therapeutic strategies based on dynamic regulation of p53 / c-Myc

    High-throughput investigation of transcription factor / signaling dynamics

    Challenges & obstacles: Getting tenure

    Travel as a limitation to making extramural connections

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    CollaboratorsWithin LP:

    Dave Levens and Dave Roberts c-Myc dynamics and regulation in individual cells

    Mark Raffeld

    p53 target gene analysis

    Maria Merino

    Arunima Ghosh (LP clinical fellow), p53 dynamics in kidney tumorsOutside LP, within NIH:

    Marston Linehan and Piyush Agarwal (UOB)

    p53 dynamics in bladder and kidney tumors

    Jayne Stommel (ROB)

    p53 and RTK signaling in glioblastoma

    Federico Bernal (MB)

    p53 stapled-peptide

    Outside NIH:

    Klaus Hahn (UNC Chapel Hill)

    optogenetic tools to manipulate p53 dynamics