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Technologies to study and control patterning and differentiation in multicellular development, a case study for multilayered arterial wall of controlled thickness

Award Number: R35GM162013
ORGANIZATION: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 04/01/2026
PERIOD OF PERFORMANCE END DATE: 01/31/2031

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Technologies to study and control patterning and differentiation in multicellular development, a case study for multilayered arterial wall of controlled thickness - How do cells in mammalian organisms integrate various inputs to generate elaborate spatial arrangement of differentiated cell types as seen in tissues and organs? Naturally evolved genetic networks based on ligands and receptors are essential for embryonic development and maintaining adult tissues. Alterations in genes, effector proteins, and cellular environments can disrupt normal development, leading to congenital disorders and adult diseases such as cancer and degeneration. Recently, synthetic genetic networks based on synthetic receptors have been developed and used in research settings to perturb and reconstruct complex multicellular networks (e.g., synNotch receptors that we developed). In our lab, we have two main goals: to develop new technologies to manipulate cell differentiation in space and time with synthetic signaling systems, and to apply these technologies to reconstruct specific examples of complex arrangement of cells, for example here a multilayered arterial vessel. In the Research Strategy section of this proposal, we outline two research Tracks, and their respective goals: 1. Development of New Technologies for 3D Differentiation Control: We will develop and integrate two technologies: (i) control of differentiation in three dimensions (3D) layers of defined thickness around spherical or thread-like scaffolds to model organs with radial symmetry around a nucleus like liver, branched epithelia, skin, and blood vessels among others; (ii) autonomously patterning genetic circuits of the reaction-diffusion family to obtain 2D and 3D gene expression domains like spots, stripes and labyrinth, known as Turing-like patterns. 2. Study and control of cell-cell communication among differentiating endothelial and vascular support cells: we will utilize patterned Syn-Notch signaling to build a perfusable vasculature comprised of an endothelial intima and a smooth muscle media layer of controlled thickness. We will generate and perturb these constructs where human induced pluripotent stem cells are differentiating to endothelial cells and vascular smooth muscle cells in geometrically controlled fashion in 2D and in 3D. We will identify and use the signals and communication network that support construction of perfusable functional tissues. These studies aim to enhance synthetic and developmental biology by deepening our understanding of cell signaling mechanisms in multicellular communities. Ultimately, these insights could advance cell-based therapies and improve disease treatment strategies.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $656,500 )
2026	2026	UNIVERSITY OF SOUTHERN CALIFORNIA	3720 S FLOWER ST FL 3	LOS ANGELES	CA	90089	LOS ANGELES	USA	Biomedical Research and Research Training	000	1	3/30/2026	NEW	$656,500
														Subtotal = $656,500

Grand Total All Awards = $656,500

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Technologies to study and control patterning and differentiation in multicellular development, a case study for multilayered arterial wall of controlled thickness

Award Number: R35GM162013

ORGANIZATION: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 04/01/2026

PERIOD OF PERFORMANCE END DATE: 01/31/2031

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