Optimization and Delivery of Bioactive Coating for High Yield and Stable Neural Recording
用于高产量和稳定神经记录的生物活性涂层的优化和交付
基本信息
- 批准号:10022175
- 负责人:
- 金额:$ 54.05万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-30 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:AdoptedAgingAnimalsAstrocytesBinding ProteinsBiologicalBiomimeticsBiosensorBrainCell CountCell Culture TechniquesCellsChronicClinicalCognitionCommunitiesDevelopmentDevicesDisease ProgressionEnsureEnvironmentEnzymesExposure toForeign-Body ReactionFreeze DryingHealthImmobilizationImmunoassayImplantIn VitroInflammatoryLearningLightLocationLongevityManufacturer NameMapsMediatingMembraneMemoryMichiganMicrogliaModelingMonitorMovementMusNatureNeural Cell Adhesion Molecule L1NeuritesNeuronsNeurosciencesNeurosciences ResearchNoisePerformancePopulationProceduresProtein ArrayProteinsProtocols documentationRattusReactionResolutionRodentRouteShippingSignal TransductionSterilizationSurfaceTechnologyTestingTimeTissuesUniversitiesWorkbasebrain computer interfacebrain machine interfacebrain tissueclinical translationcrosslinkdensityexperimental studyimplantationimprovedin vivointerestmedical implantmicrosystemsmulti-electrode arraysnanodevicenanoparticleneural prosthesisnonhuman primatepreservationrelating to nervous systemresponsewound healing
项目摘要
Project Summary
The ability to monitor activity of ensembles of neurons at single-cell resolution, chronically, over long time
periods is greatly desired by neuroscientists. A variety of multi-electrode arrays (MEAs) have been developed
for in vivo studies. These arrays are capable of revealing the activity of neuronal ensembles. Unfortunately,
none of the devices on the market is fully capable of obtaining recordings that are simultaneously high-yield
and high-quality, as well as stable and useful over months to years. This well-known challenge has greatly
limited our ability to track the activity of populations of single neurons over a sufficient period of time to fully
investigate circuit change during learning and memory, development and aging, or disease progression and
wound healing. Additionally, the clinical use of brain machine interface (BMI), which utilize recorded neural
activities to decode movement intent for controlling machine, has been hindered by the unstable and unreliable
recording.
We have developed a biomimetic coating composed of a brain-derived L1-cell adhesion molecule that mitigate
the inflammatory host tissue reaction. In rodents, L1 coated NeuroNexas probes maintained high quality neural
recording over the period of 16 weeks with significant higher single unit yield and signal to noise ratio than the
uncoated control probes. Meanwhile, recordings in non-human primates (NHPs) with L1-coated Blackrock
MEAs also demonstrated high quality performance in single unit yield and signal amplitude for at least 6
months. MEA manufacturers and users expressed strong interest in utilizing this technology. However, the
coating made of biological protein is fragile and may lose bioactivity during the harsh environment of shipping,
storage and sterilization. In order to make the L1 coating a technology that can be widely adopted by the
neuroscience community, we propose to optimize the coating stability and develop practical protocols for
coating preservation, storage, packaging, delivery and sterilization. The bioactivity of the coating prepared with
different protocols will first be tested with cell cultures. Promising procedures will then be tested with
implantation and recording in rodents at the University of Pittsburgh. Once optimum coating and procedures
are determined, coated arrays will be delivered to users to evaluate the coating performance. Dr. Buzsaki
(NYU) will test the L1 coated NeuroNexas arrays in freely moving rats. Dr. Schwartz (U. Pitt) and Dr. Chestek
(U. Michigan) will test the L1 coated Blackrock arrays in NHPs for BMI studies. Users will work closely with us
to define specific performance criteria in their recording applications, compare performance of coated and
uncoated arrays, and provide user input for us to improve the packaging and delivery. Throughout the project,
representatives from two MEA manufacturers, Blackrock Microsystems and NeuroNexus Technology, will
serve as consultants to ensure compatibility of our procedures with their devices and guide us on the path to
dissemination.
The project will produce a coating technology that is both easy to adopt and generalizable to all types of state-
of-art and emerging MEAs. Solving the practical issues of sterilization, packaging and delivery is a critical step
toward commercial and clinical translation of the technology. High quality and stable of neural recording will
greatly improve our ability to map brain activity in long-term experiments, and benefit brain-computer interfaces
and other types of neural prostheses. In a broader sense, the protocols developed here for preserving
immobilized protein during storage, delivery and sterilization should be applicable to other medical implants
containing bioactive proteins, immunoassays, protein arrays, enzyme-based biosensors or any micro/nano
devices that incorporate biological components.
项目摘要
长期以来,长期以来在单细胞分辨率下监测神经元合奏的活动的能力
神经科学家非常需要时期。已经开发了多种多电极阵列(MEA)
用于体内研究。这些阵列能够揭示神经元集合的活性。很遗憾,
市场上没有一个设备完全能够获得同时高收益的录音
和高质量的,以及数月至数年的稳定且有用的。这个著名的挑战有很大的
限制我们在足够的时间内跟踪单个神经元种群活动的能力
在学习和记忆,发展和衰老或疾病进展过程中调查电路变化
伤口愈合。此外,使用记录的神经
不稳定且不可靠的活动阻碍了解码用于控制机器的运动意图的活动
记录。
我们已经开发了一种由脑衍生的L1细胞粘附分子组成的仿生涂层,可缓解
炎症性宿主组织反应。在啮齿动物中,L1涂层神经元探针保持高质量的神经
在16周内记录,单位产量和信号比率明显高于
未涂层的对照探针。同时,用L1涂层的二十条录音在非人类灵长类动物(NHP)中
MES还表明,至少6个单位产率和信号振幅的高质量性能
月份。 MEA制造商和用户对利用这项技术表示浓厚的兴趣。但是,
由生物蛋白制成的涂层是脆弱的,在运输的恶劣环境中可能会失去生物活性,
存储和灭菌。为了使L1涂层一项技术可以广泛采用的技术
神经科学社区,我们建议优化涂料稳定性,并为
涂料保存,存储,包装,输送和灭菌。与
不同的方案将首先通过细胞培养进行测试。然后将对有希望的程序进行测试
匹兹堡大学的啮齿动物植入和记录。一旦最佳涂层和程序
确定,涂层阵列将交付给用户以评估涂料性能。 Buzsaki博士
(NYU)将在自由移动的大鼠中测试L1涂层的神经唱阵列。 Schwartz博士(U. Pitt)和Chestek博士
(美国密歇根州)将在NHPS中测试L1涂层的贝莱克阵列进行BMI研究。用户将与我们紧密合作
要在其记录应用中定义特定的性能标准,请比较涂层的性能和
未涂层的数组,并为我们提供用户输入,以改善包装和交付。在整个项目中,
来自两个MEA制造商,贝莱德微系统和神经毒技术技术的代表将
作为顾问,以确保我们的程序与设备的兼容性,并指导我们走上通往的道路
传播。
该项目将生产既易于采用又可以推广到所有类型的国家 -
Art和Art和新兴的措施。解决灭菌,包装和交付的实际问题是关键的一步
迈向该技术的商业和临床翻译。高质量和稳定的神经记录将
大大提高了我们在长期实验中绘制大脑活动的能力,并使脑部计算机界面受益
和其他类型的神经假体。从广义上讲,这里开发的协议用于保存
存储期间固定的蛋白质应适用于其他医疗植入物
含有生物活性蛋白,免疫测定,蛋白质阵列,基于酶的生物传感器或任何微/纳米
结合生物组件的设备。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
XINYAN Tracy CUI其他文献
XINYAN Tracy CUI的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('XINYAN Tracy CUI', 18)}}的其他基金
Opioid-Sparing Non-Surgical, Bioresorbable Nerve Stimulator for Pain Relief
节省阿片类药物的非手术生物可吸收神经刺激器,用于缓解疼痛
- 批准号:
10759642 - 财政年份:2023
- 资助金额:
$ 54.05万 - 项目类别:
Efficiency and Safety of Microstimulation Via Different Electrode Materials
通过不同电极材料进行微刺激的效率和安全性
- 批准号:
10622204 - 财政年份:2019
- 资助金额:
$ 54.05万 - 项目类别:
Efficiency and Safety of Microstimulation Via Different Electrode Materials
通过不同电极材料进行微刺激的效率和安全性
- 批准号:
10421288 - 财政年份:2019
- 资助金额:
$ 54.05万 - 项目类别:
Ultra sensitive and flexible MEAs for chronic dopamine detection at both tonic and phasic levels
超灵敏且灵活的 MEA,用于强直和阶段性水平的慢性多巴胺检测
- 批准号:
9814422 - 财政年份:2019
- 资助金额:
$ 54.05万 - 项目类别:
Optimization and Delivery of Bioactive Coating for High Yield and Stable Neural Recording
用于高产量和稳定神经记录的生物活性涂层的优化和交付
- 批准号:
10264798 - 财政年份:2019
- 资助金额:
$ 54.05万 - 项目类别:
Efficiency and Safety of Microstimulation Via Different Electrode Materials
通过不同电极材料进行微刺激的效率和安全性
- 批准号:
10653699 - 财政年份:2019
- 资助金额:
$ 54.05万 - 项目类别:
Efficiency and Safety of Microstimulation Via Different Electrode Materials
通过不同电极材料进行微刺激的效率和安全性
- 批准号:
10183351 - 财政年份:2019
- 资助金额:
$ 54.05万 - 项目类别:
Efficiency and Safety of Microstimulation Via Different Electrode Materials
通过不同电极材料进行微刺激的效率和安全性
- 批准号:
9979986 - 财政年份:2019
- 资助金额:
$ 54.05万 - 项目类别:
Efficiency and Safety of Microstimulation Via Different Electrode Materials
通过不同电极材料进行微刺激的效率和安全性
- 批准号:
10842106 - 财政年份:2019
- 资助金额:
$ 54.05万 - 项目类别:
Optimization and Delivery of Bioactive Coating for High Yield and Stable Neural Recording
用于高产量和稳定神经记录的生物活性涂层的优化和交付
- 批准号:
10470899 - 财政年份:2019
- 资助金额:
$ 54.05万 - 项目类别:
相似国自然基金
纳米稀土CeO2在土壤-动物体系中的形态转化、累积分布及毒性作用机制
- 批准号:41877500
- 批准年份:2018
- 资助金额:62.0 万元
- 项目类别:面上项目
miR-34c在保护高糖诱导的VSMCs早衰并延缓糖尿病血管老化与钙化中的作用及机制
- 批准号:81770833
- 批准年份:2017
- 资助金额:56.0 万元
- 项目类别:面上项目
缝隙连接蛋白26在老年性耳聋中的表达及其甲基化作用机制研究
- 批准号:81500795
- 批准年份:2015
- 资助金额:18.0 万元
- 项目类别:青年科学基金项目
研究细胞/组织器官衰老与机体衰老关联机制的条件性敲入小鼠模型的建立与分析
- 批准号:81571374
- 批准年份:2015
- 资助金额:120.0 万元
- 项目类别:面上项目
改善年龄老化导致下肢新生血管生成障碍的实验研究
- 批准号:81070257
- 批准年份:2010
- 资助金额:30.0 万元
- 项目类别:面上项目
相似海外基金
Optimizing integration of veterinary clinical research findings with human health systems to improve strategies for early detection and intervention
优化兽医临床研究结果与人类健康系统的整合,以改进早期检测和干预策略
- 批准号:
10764456 - 财政年份:2023
- 资助金额:
$ 54.05万 - 项目类别:
Commercial translation of high-density carbon fiber electrode arrays for multi-modal analysis of neural microcircuits
用于神经微电路多模态分析的高密度碳纤维电极阵列的商业转化
- 批准号:
10761217 - 财政年份:2023
- 资助金额:
$ 54.05万 - 项目类别:
Transcriptional regulation of neuroprotective microglia subtypes in health and disease
健康和疾病中神经保护性小胶质细胞亚型的转录调控
- 批准号:
10679200 - 财政年份:2023
- 资助金额:
$ 54.05万 - 项目类别:
How women’s reproductive life-history relates to cognitive decline and neuropathology in Alzheimer’s disease and related dementias
女性的生殖生活史与阿尔茨海默病和相关痴呆症的认知能力下降和神经病理学有何关系
- 批准号:
10740751 - 财政年份:2023
- 资助金额:
$ 54.05万 - 项目类别:
Development of an Inducible Conditional Gene Deletion Mouse Model to Study Plasma Cell Development and Longevity
开发可诱导条件基因缺失小鼠模型来研究浆细胞发育和寿命
- 批准号:
10452247 - 财政年份:2022
- 资助金额:
$ 54.05万 - 项目类别: