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An Observation Data Driven Simulation and Analysis Framework for Early Stage C. elegans Embryogenesis

Journal Article · · Journal of Biomedical Science and Engineering
 [1];  [2];  [2];  [3];  [3]
  1. Univ. of Tennessee, Knoxville, TN (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Univ. of Tennessee, Knoxville, TN (United States)
  3. Memorial Sloan Kettering Cancer Center, New York, NY (United States)
Recent developments in cutting-edge live microscopy and image analysis provide a unique opportunity to systematically investigate individual cell’s dynamics as well as simulation-based hypothesis testing. After a summary of data generation and analysis in the observation and modeling efforts related to C. elegans embryogenesis, we develop a systematic approach to model the basic behaviors of individual cells. Next, we present our ideas to model cell fate, division, and movement using 3D time-lapse images within an agent-based modeling framework. Then, we summarize preliminary result and discuss efforts in cell fate, division, and movement modeling. Finally, we discuss the ongoing efforts and future directions for C. elegans embryo modeling, including an inferred developmental landscape for cell fate, a quasi-equilibrium model for cell division, and multi-agent, deep reinforcement learning for cell movement.
Research Organization:
Memorial Sloan Kettering Cancer Center, New York, NY (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
Sponsoring Organization:
National Institutes of Health (NIH); USDOE Office of Science (SC)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1468155
Journal Information:
Journal of Biomedical Science and Engineering, Journal Name: Journal of Biomedical Science and Engineering Journal Issue: 08 Vol. 11; ISSN 1937-6871
Publisher:
Scientific Research Publishing Inc. (SCIRP)Copyright Statement
Country of Publication:
United States
Language:
English

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