A Feasibility Study of a High-Throughput Live-Cell Microscopy Design for Visualizing Viral Particle Action and Nano-Carrier Delivery Performance
A Feasibility Study of a High-Throughput Live-Cell Microscopy Design for Visualizing Viral Particle Action and Nano-Carrier Delivery Performance
批准号:
10193517
负责人:
Haw Yang
金额:
$36.34万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-22 至 2024-04-30
关键词:
3-DimensionalAddressAlpha ParticlesAreaBasic ScienceBehaviorBenchmarkingBiochemicalBiologicalCapsidCell surfaceCellsCommunitiesComputational algorithmComputer AssistedComputer softwareComputersCouplingDataData SetDetectionDevelopmentDiffuseDrug Delivery SystemsEndosomesEventExhibitsFeasibility StudiesGenetic MaterialsGoalsHumanImageIndividualInvadedKnowledgeLaboratoriesLaser Scanning MicroscopyLasersLocationMachine LearningMeasuresMethodsMicroscopeMicroscopyMicrotubulesMonitorMotionMutationOpticsPerformanceResearch PersonnelResolutionSamplingScanningShapesSupervisionTestingTherapeuticThree-Dimensional ImagingTimeTrainingTranslational ResearchViralVirusVirus-like particleVisualizationbasedata acquisitiondata streamsdesignexperimental studyfeasibility testingimaging modalityimaging platforminsightinstrumentationinterestlive cell microscopynanocarriernanoparticleneural networkoptical imagingparticlepractical applicationprogenitorprototypespatiotemporalstatisticstooltraittwo-photonvirology
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英文摘要
Project Summary/Abstract
Decades of basic research have afforded a general picture for how a viral particle may approach a cell, be
internalized by the cell, and hijack the cell to produce more progenitors. The accumulated knowledge, in turn,
has allowed one to formulate specific mechanistic questions. For instance, why would a particular mutation in a
virus make it more effective in infecting a live cell? Is it because the mutation makes the virus stay on the cell
surface longer (on time) but exhibiting the same cell-internalization propensity, or is it because the mutation
makes it easier for the virus to invade the cell while the off time remains the same? Where inside a cell and when
does a viral particle escape an endosomal enclosure and/or shed its capsid to release its genetic material? By
analogy, similar questions can be formulated in designing nanoparticle-based drug delivery vessels. Many
ingenious experiments using a diverse array of biochemical and biological tools have been devised to address
them, and the insights have led to translational research that has direct therapeutic impacts. A direct observation
and recording of these dynamical events that a viral particle may exhibit in its cell-invasion and multiplication
cycle could potentially offer much more. Recently, our laboratory put forward a proof-of-principle imaging platform
that allows one to do just that: While an integrated two-photon laser-scanning microscope continuously provides
3D sections of the environmental context of a moving virus-like nanoparticle, the nanoparticle is tracked in 3D.
This is performed by moving the sample in order to keep the particle at the center of a microscope objective
focus with a super-resolution localization precision (~10 nm) in all three dimensions and at a 10-microsecond
time resolution. Even for events as simple as a virus-like nanoparticle approaching and landing on a cell, this
prototype multiresolution microscope has allowed us to uncover that, unexpectedly, a virus-like particle tends to
slow down significantly before its landing on a cell surface. While the prototype instrumentation demonstrates
that direct 3D high-resolution visualization could indeed provide uniquely new information that has been
inaccessible using conventional methods, its trajectory throughput is too low to be of widespread practical use.
This developmental project is intended to test whether a new microscopy design would make this approach
higher throughput. This is to be achieved by a new instrumentation design and a machine learning computational
backend for dynamic content filtering. Quantitative measures for benchmarking and feasibility testing are also
described. If feasible, the community would have a completely new and practical way of looking at viral particle
actions and nano-carrier delivery performances.
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