Predictive multi-scale model of focal adhesion-based durotaxis
Predictive multi-scale model of focal adhesion-based durotaxis
批准号:
10562825
负责人:
Jian Liu
金额:
$39.79万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-01-23 至 2026-12-31
关键词:
ActinsAddressAffectBackBehaviorBindingBiological ProcessCell Adhesion MoleculesCellsChemicalsComplexCouplesCouplingCytoskeletonData AnalysesDevelopmentDevelopmental ProcessEmbryonic DevelopmentEnvironmentEventExperimental DesignsExperimental ModelsExtracellular MatrixFeedbackFeedsFocal AdhesionsGenerationsGoalsIndividualIntegral Membrane ProteinIntegrinsLinkMeasuresMechanicsMediatingModelingMolecularMonitorMovementNatureNeoplasm MetastasisPatternProcessProtein DynamicsProteinsResearchResearch PersonnelResolutionRoleShapesStress FibersTestingTimeTractionWorkcell motilitychemical reactionexperimental studygraspin silicoinfancyinsightlive cell imagingmathematical modelmechanotransductionmulti-scale modelingpredictive modelingpreferenceskillssynergismtemporal measurementtooltransmission processtumoruser friendly software
中文摘要
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英文摘要
Project Summary
The over-arching goal of this proposal is to establish the predictive multi-scale mathematical model to decipher the
mechanism of durotaxis. Durotaxis is the preference of cells migrating toward a stiffer extracellular matrix (ECM) and has
important roles in many biological processes, ranging from embryo development to tumor metastasis. Focal adhesion (FA)
is the functional unit of durotaxis; it an integrin-based multi-protein transmembrane linkage, through which cell exerts actin
cytoskeleton-based traction force to tug the ECM and sense the stiffness. Despite the high relevance to biomedical
applications, it is not well understood how FA mediates mechanosensing of ECM stiffness and drives durotaxis, largely
because predictive mathematical models lag behind the descriptive experimental finding in the field. At single-FA level,
while previous models explain molecular-clutch behaviors in FA mechanosensing, they cannot explain how and why FA-
localized protein activities adapt to environments by distinctive spatial-temporal patterns (akin to footprints) that are
demonstrated to be essential for durotaxis. The full underlying mechanisms of the FA-localized “footprint” and its exact
roles in durotaxis are thus unknown. Further, durotaxis must coordinate movements of cell body and protrusion/retraction
of cell edge. While the FA-mediated tractions drive the cell body, how the FA-localized mechanosensing events coordinate
with the cell edge dynamics is unknown. Last, at a single-cell level, there exist many FAs at different developmental stages
at any time. It is not understood how the cell integrates the mechanosensing activities of individual FAs to drive durotaxis.
A predictive model that meaningfully engages with experiments is desirable and likely holds the key to decipher
durotaxis. Toward this goal, we have been and will uniquely integrate mathematical modeling in iterative dialogues with
experimental testing. The central hypothesis is: FA-localized spatial-temporal dynamics of the traction force generation and
transmission defines FA-mediated mechanosensing and durotaxis. The basis of this proposal is our previous findings. We
built the first mathematical model that captures the essence of entire FA maturation process. That is, FA evolves from a
nascent complex, the centripetally growing FA that couples the retrograde flux of branching actin network, to the mature
FA that transmits the stress fiber (SF)-mediated contractions onto ECM. This model uniquely links the FA-localized fine
features of protein activities – emerging from FA maturation process – to FA mechanosensing events. The model predicted
and was experimentally confirmed that a negative feedback between the elongation and contractility of the FA-engaging SF
underlies the FA-localized traction oscillation and mechanosensing of ECM stiffness. Ushered by these findings, our
specific aims are to determine: 1) how FA force-transmission and SF elongation cross-talk in FA mechanosensing; 2) how
FA mechanosensing affects cell edge protrusion/retraction, and 3) how cell integrates mechanosensation of individual FAs
to drive durotaxis. If successful, the proposed research would provide a quantitative platform interpret data and guide
durotaxis experimental designs, which has the multi-scale resolutions ranging from FA-localized dynamics, cell edge
protrusion/retraction, to cell movement at whole-cell level.
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Predictive multi-scale model of focal adhesion-based durotaxis
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批准号:10798520
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批准号:8939857
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财政年份:--
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Theoretical modeling on mechanochemical feedbacks of cellular processes
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批准号:8344881
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资助金额:$121.62万
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Theoretical modeling on mechanochemical feedbacks of cellular processes
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批准号:8158042
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财政年份:--
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依托单位:
海外基金