Nanoparticle Tracking Analyzer (NTA) for the Center for Live Cell Genomics
Nanoparticle Tracking Analyzer (NTA) for the Center for Live Cell Genomics
批准号:
10817569
负责人:
DAVID H HAUSSLER
金额:
$20.14万
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:
未结题
起止时间:
2021-09-15 至 2026-06-30
关键词:
3-DimensionalAccelerationAddressBiologicalBiopsyBrainBuffersCalibrationCell Culture TechniquesCellsCerebral cortexCerebrumChargeCommunicationComplexComputer softwareComputersDataDevelopmentDevicesDisease modelDistantEcosystemFundingGenesGenomicsGoalsGrowthHallmark CellHealthHumanIndividualInternetInternet of ThingsLabelLinkMaintenanceMalignant Childhood NeoplasmMalignant NeoplasmsMeasurementMeasuresMetabolicMetabolismMethodologyMethodsModelingMolecularNeurodevelopmental DisorderOperative Surgical ProceduresOrganoidsOutcomePathway interactionsPerformancePopulationPrincipal InvestigatorReproducibilityResearchResearch PersonnelScientistSideSurfaceSystemTechniquesTechnologyTimeTissue ModelTissuesTrainingVendorbiological systemscell typedesignexosomeexperimental studyextracellular vesiclesflexibilityinnovationinstrumentmultimodalitynanoparticlenanoscaleneurodevelopmentnew technologyopen sourceoperationprogramsremote controlsensorsingle moleculethree dimensional cell culturetissue culturetissue/cell culture
中文摘要
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英文摘要
Principal Investigator/Program Director: Haussler, David
Project Summary
The focus of our CEGS Center for Live Cell Genomics is to build new methodology and capacity for
large-scale, long-term, inexpensive, modular, customizable, shared, Internet-of-Things- controlled, reproducible
live cell culture and tissue-based experimental genomics disease models. Tissue models include traditional cell
culture as well as organoid and primary tissue explants obtained from surgery or biopsy. A particular focus is
the integration of organoid factories that support tissue growth and maintenance with external and on-chip
electro- optofluidic analytical modules to become part of an ecosystem that is modeled after open- source
software. This system will use commodity sensors, cameras, and computers linked in platforms that are flexibly
designed using simple, widely available techniques potentially in order to stimulate rapid innovation in
experimental platforms for tissue culture. This novel technology will allow us to address major scientific issues
in neurodevelopment and pediatric cancer. These include questions about what genes contribute to human
brain development, or what specific molecular pathways are disrupted in individual pediatric cancer cases.
Over the first year of our project, it has become clear that in order to advance our research agenda on both the
scientific and technological sides we require an established, multi-modal nanoparticle analysis method.
Specifically, we are facing two challenges. We need to be able to assess the nanoscale extracellular vesicles
(EVs), specifically exosomes, that are being produced in our organoid factories as a measure of organoid cell
types, metabolism, and health. As these measurements need to be carried out frequently over long periods of
time, a fast and relatively easy-to-use technique is required. Secondly, in order to develop optofluidic devices
that can carry out measurements on individual EVs and exosomes and their molecular content, we need to be
able to establish ground truth references against which the performance of these devices can be compared. To
this end, we are requesting supplemental funding to acquire a Nanoparticle Tracking Analyzer (NTA)
instrument that will provide these capabilities throughout our project. An NTA is a unique instrument that
provides multi-modal analysis on populations of biological and inorganic nanoparticles. Pertinent capabilities
include buffer calibration, measurement of EV concentration and size distribution, surface charge
measurements, assessment of labeling efficiencies, and more. As such, an NTA is uniquely suited for our
requirements and will dramatically accelerate the progress of our research as well as expand its outcomes.
1
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DOI:
10.1038/s41598-023-42671-4
发表时间:
2023-10-06
期刊:
Scientific reports
影响因子:
4.6
作者:
[]
通讯作者:
DOI:
10.3390/bios12070501
发表时间:
2022-07-09
期刊:
Biosensors
影响因子:
--
作者:
[]
通讯作者:
Model-Agnostic Neural Mean Field With The Refractory SoftPlus Transfer Function.
具有 Refractory SoftPlus 传递函数的模型无关神经平均场。
DOI:
10.1101/2024.02.05.579047
发表时间:
2024
期刊:
bioRxiv : the preprint server for biology
影响因子:
--
作者:
[Spaeth,Alex, Haussler,David, Teodorescu,Mircea]
通讯作者:
Teodorescu,Mircea
Modulation of neuronal activity in cortical organoids with bioelectronic delivery of ions and neurotransmitters.
通过离子和神经递质的生物电子传递来调节皮质类器官中的神经元活动。
DOI:
10.1101/2023.06.10.544416
发表时间:
2023
期刊:
bioRxiv : the preprint server for biology
影响因子:
--
作者:
[Park,Yunjeong, Hernandez,Sebastian, Hernandez,CristianO, Schweiger,HunterE, Li,Houpu, Voitiuk,Kateryna, Dechiraju,Harika, Hawthorne,Nico, Muzzy,ElanaM, Selberg,JohnA, Sullivan,FrederikaN, Urcuyo,Roberto, Salama,SofieR, Aslankoohi,Elham]
通讯作者:
Aslankoohi,Elham
DOI:
10.3390/cells11182803
发表时间:
2022-09-08
期刊:
CELLS
影响因子:
6
作者:
[Nowakowski, Tomasz J., Salama, Sofie R.]
通讯作者:
Salama, Sofie R.
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财政年份:2020
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依托单位:
Development of Advanced Preclinical Models for Pediatric Solid Tumors
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