We propose to develop a new mathematical approach to the analysis of pattern formation by contact-mediated signaling and to leverage the results to engineer a programmable multicellular patterning system. The mathematical approach blends graph-theoretic ideas with dynamical systems techniques to develop systematic tools for predicting and designing patterns, applicable to large networks of cells and broad classes of contact-mediated systems. The approach is to describe the configuration of the cells with a contact graph, and to exploit graph symmetries to partition the vertices into classes of cells with equal fates. We propose dynamical systems procedures to determine whether steady-state patterns structured according to candidate partitions exist, and to reveal the stability properties of such patterns. To engineer a synthetic bacterial contact signaling system, we propose to modify the newly discovered E. coli contact-dependent inhibition (CDI) system so that we can transfer proteins that control gene expression to adjacent cells. Contact-mediated signaling would allow higher information content than the previous quorum signaling systems, since whole proteins with different functionality may be transferred. By reestablishing patterning in a simple bacterial medium, this system will provide a testbed for theories of control and robustness in biological development. This patterning system may also lead to applications in programmable materials, tissue engineering, and compartmented biosynthesis. The project will produce both genetic parts for contact signaling systems and an analysis toolkit for researchers employing such systems. The team is composed of Murat Arcak (dynamical systems and control theory), Adam Arkin (synthetic biology), and Michel Maharbiz (biocompatible devices), who are current collaborators and provide the necessary mix of expertise in mathematical analysis and design, complex genetic components, and controlled cellular environments.

Public Health Relevance

The proposed programmable multicellular patterning system will provide a means of testing mathematical principles underlying developmental processes in a controlled fashion by constructing a synthetic version of these processes. The engineered system is also likely to impact biotechnology through applications in programmable materials, tissue engineering, and compartmented biosynthesis

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM109460-01
Application #
8639681
Study Section
Special Emphasis Panel (ZGM1-BBCB-5 (BM))
Program Officer
Brazhnik, Paul
Project Start
2013-08-01
Project End
2016-06-30
Budget Start
2013-08-01
Budget End
2014-06-30
Support Year
1
Fiscal Year
2013
Total Cost
$275,000
Indirect Cost
$96,304
Name
University of California Berkeley
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
124726725
City
Berkeley
State
CA
Country
United States
Zip Code
94704
Gyorgy, Andras; Arcak, Murat (2018) Pattern Formation over Multigraphs. IEEE Trans Netw Sci Eng 5:55-64
Gomez, Marcella M; Arcak, Murat (2017) A Tug-of-War Mechanism for Pattern Formation in a Genetic Network. ACS Synth Biol 6:2056-2066
Hsia, Justin; Holtz, William J; Maharbiz, Michel M et al. (2016) Modular Synthetic Inverters from Zinc Finger Proteins and Small RNAs. PLoS One 11:e0149483
Rufino Ferreira, Ana S; Hsia, Justin; Arcak, Murat (2015) A Compartmental Lateral Inhibition System to Generate Contrasting Patterns. IEEE Life Sci Lett 1:7-10
Rufino Ferreira, Ana S; Arcak, Murat (2013) A GRAPH PARTITIONING APPROACH TO PREDICTING PATTERNS IN LATERAL INHIBITION SYSTEMS. SIAM J Appl Dyn Syst 12:2012-2031