grant

Spatial genetics investigation of multinucleated cells

Organization UNIVERSITY OF GEORGIALocation ATHENS, UNITED STATESPosted 1 Sept 2022Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY2025AnimalsAutoregulationAwardBehaviorBehavior ControlBehavioral ManipulationBiochemicalBiologicalBlind SpotsBody SystemBody TissuesCardiac Muscle CellsCardiac MyocytesCardiocyteCell BodyCell CommunicationCell InteractionCell NucleusCell to Cell Communication and SignalingCell-Cell SignalingCell-to-Cell InteractionCellsCellularityCommunitiesDevelopmentEnvironmentGene ExpressionGeneticGenomicsGiant CellsHeart Muscle CellsHeart myocyteHomeostasisHumanImaging technologyInvestigationKnowledgeMalignant CellMessenger RNAMethodologyModelingModern ManMononuclearMultinucleated Giant CellsMuscleMuscle TissueNatureNucleusOrgan SystemPhysiological HomeostasisPolykaryocytesPolyploidPolyploidyResearchRetinal blind spotReverse engineeringStimulusSyncytiotrophoblastSyncytiumSystemTechniquesTechnologyTissuesTzanck Cellbehavioral controlbiologiccancer cellcardiomyocytecell engineeringcell typecellular engineeringdevelopmentalfascinatefitnessgene functionhuman diseasehuman tissuein vivoinnovateinnovationinnovativeintercellular communicationmRNAmuscularprogramsresponsesingle cell genomicssingle moleculespatial RNA sequencingspatial gene expression analysisspatial gene expression profilingspatial resolved transcriptome sequencingspatial transcriptome analysisspatial transcriptome profilingspatial transcriptome sequencingspatial transcriptomicsspatially resolved transcriptomicsspatio transcriptomicstrafficking
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Full Description

Project Summary/Abstract
Organ systems are composed of a wealth of cellular subpopulations whose spatial organization

within a given tissue are deeply intertwined with their functions and homeostasis controls.

Similarly, within the space of a single-cell, the biochemical environment is also heterogeneous

where the dynamic interactions of molecules determine the fitness, behavior and fate of the cell.

Our understanding of the cell interactions and the biomolecule interactions has recently been

transformed by the revolutionary single-cell genomics and single-molecule imaging technologies.

However, the development and application of these technologies have been exclusively centered

on the context of mononuclear cellularity. Hiding in the blind spot are multinucleated cell-types,

including myofibers, cardiomyocytes, syncytiotrophoblasts, certain cancer cells, all of which

cause devasting human disease when go awry. The syncytial nature of the multinucleated cells,

which possess the polyploidy and often the vast cytosolic volumes, raises fascinating questions

with respect to the spatial organizations of the cell-cell interactions and biomolecule distributions.

The fundamental yet largely unknown questions include: 1) How heterogeneous is the tissue

microenvironment that surrounds the syncytial cells? 2) Do nuclei from the shared cell body

coordinate gene expression in response to the external stimuli and cell-cell communications? 3)

What is the mechanism that governs the transports and localizations of mRNAs in the

multinucleated cells? Our research program exploits the unique features of specialized cell-types

as a means to understand mechanistic underpinnings of various developmental systems. This

proposal leverages myofiber as the uniquely-suited model to investigate the above questions in

a spatially defined manner. First, we will develop and deploy new methodologies to probe the

spatial transcriptomics for the multiple types of syncytial tissues. Second, we will devise the

reverse engineering strategy to assemble the single-syncytium of human muscle with genetic

trackabilities and later graft them to live animals for the in vivo study of the cell-cell communication

and intra-syncytium mRNA distributions. Third, we will conduct the in-depth gene function and

mechanism studies to unveil new paradigms of intercellular communication and the intracellular

mRNA trafficking. Broadly, this research program relies on our diverse expertise in genomics, cell

engineering and computation such that we can create a virtuous cycle of innovation and discovery

over the course of the MIRA award. We anticipate that the knowledge and techniques will benefit

the greater biological community, including genetics, cell biologists and developmental biologists.

Grant Number: 5R35GM147209-04
NIH Institute/Center: NIH

Principal Investigator: Pengpeng Bi

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