Nanoparticle Tracking Analyzer (NTA) for the Center for Live Cell Genomics

用于活细胞基因组学中心的纳米颗粒跟踪分析仪 (NTA)

基本信息

批准号：
10817569
负责人：
DAVID H HAUSSLER
金额：
$ 20.14万
依托单位：
UNIVERSITY OF CALIFORNIA SANTA CRUZ
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-15 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10817569
关键词：
3-Dimensional Acceleration Address Biological Biopsy Brain Buffers Calibration Cell Culture Techniques Cells Cerebral cortex Cerebrum Charge Communication Complex Computer software Computers Data Development Devices Disease model Distant Ecosystem Funding Genes Genomics Goals Growth Hallmark Cell Health Human Individual Internet Internet of Things Label Link Maintenance Malignant Childhood Neoplasm Malignant Neoplasms Measurement Measures Metabolic Metabolism Methodology Methods Modeling Molecular Neurodevelopmental Disorder Operative Surgical Procedures Organoids Outcome Pathway interactions Performance Population Principal Investigator Reproducibility Research Research Personnel Scientist Side Surface System Techniques Technology Time Tissue Model Tissues Training Vendor biological systems cell type design exosome experimental study extracellular vesicles flexibility innovation instrument multimodality nanoparticle nanoscale neurodevelopment new technology open source operation programs remote control sensor single molecule three dimensional cell culture tissue culture tissue/cell culture

项目摘要

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

首席研究员/计划主任：豪斯勒，大卫项目摘要我们CEGS活细胞基因组学中心的重点是建立新的方法和能力大规模，长期，廉价，模块化，可定制，共享的，可重现的，可重现的活细胞培养和基于组织的实验基因组疾病模型。组织模型包括传统细胞培养以及从手术或活检获得的类器官和原发性组织外植体。一个特别的重点是用外部和芯片支持组织生长和维护的类器官工厂的整合电流分析模块成为生态系统的一部分，以开放源建模软件。该系统将使用链接的商品传感器，相机和计算机灵活地链接使用简单，广泛可用的技术设计，以刺激快速创新组织培养的实验平台。这种新颖的技术将使我们能够解决重大科学问题在神经发育和小儿癌中。这些包括有关哪些基因对人的贡献的问题大脑发育，或在个别儿科癌症病例中破坏哪些特定分子途径。在我们项目的第一年中，很明显，为了推进我们的研究议程科学和技术方面，我们需要建立的多型纳米颗粒分析方法。具体来说，我们面临两个挑战。我们需要能够评估纳米级细胞外囊泡（EV），特别是外泌体，是在我们的器官工厂中产生的，作为器官细胞的量度类型，新陈代谢和健康。由于这些测量需要在长期内经常进行时间，需要快速且相对易于使用的技术。其次，为了开发optofluidic设备可以对单个电动汽车和外泌体及其分子含量进行测量，我们需要是能够建立可以比较这些设备的性能的基础真理参考。到这最后，我们要求补充资金以获取纳米颗粒跟踪分析仪（NTA）将在我们整个项目中提供这些功能的工具。 NTA是一种独特的乐器对生物和无机纳米颗粒种群进行多模式分析。相关功能包括缓冲校准，EV浓度和尺寸分布的测量，表面电荷测量，标记效率的评估等等。因此，NTA非常适合我们需求并将大大加速我们的研究进步并扩大其结果。 1

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Dual optofluidic distributed feedback dye lasers for multiplexed biosensing applications.

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：

All-in-One Optofluidic Chip for Molecular Biosensing Assays.

DOI：
10.3390/bios12070501
发表时间：
2022-07-09
期刊：
Biosensors
影响因子：
0
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：
0
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：
0
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

Cerebral Organoids as an Experimental Platform for Human Neurogenomics.