HIGH-THROUGHPUT HIGH-CONTENT PLATFORM FOR IMAGE-BASED SCREENS
HIGH-THROUGHPUT HIGH-CONTENT PLATFORM FOR IMAGE-BASED SCREENS
批准号:
8152121
负责人:
Hang Lu
金额:
$17.7万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-30 至 2013-08-31
关键词:
AffectAgarAgingAlgorithmsAlzheimer&aposs DiseaseAnimal ModelAnimalsAreaArtsAutomationBehaviorBiological AssayCaenorhabditis elegansCandidate Disease GeneCell CountCellsCessation of lifeChromosomesCustomDataDevelopmentDevice DesignsDiabetes MellitusDisadvantagedDiseaseDrosophila melanogasterDrug IndustryEngineeringFill-ItFishesGeneric DrugsGenesGeneticGenetic ModelsGenetic ResearchGenetic ScreeningGenomicsGoalsHumanImageImaging DeviceIndividualInterventionKnowledgeLibrariesLifeLinkLiquid substanceLongevityManualsMental disordersMetabolicMetabolic DiseasesMethodsMetricMicrofluidic MicrochipsMicrofluidicsMicroscopyMolecularMolecular GeneticsNatureNematodaNerve DegenerationNervous system structureNeurobiologyOpticsOrganismOutputPathway interactionsPharmacologic SubstancePhenotypePositioning AttributePreclinical Drug EvaluationProcessProteinsPublic HealthRNA InterferenceReagentReproductionResearchRobotSamplingScreening procedureSoilSpeedSupervisionSynapsesSynaptic TransmissionSystemTechniquesTechnologyTherapeuticTimeTrainingVisionVisualWorkbasechemical geneticsdesigndirect applicationflygenome-widehigh throughput screeninghuman diseaseimage processingin vivoinformation gatheringinnovationinterestmotor controlnervous system disorderneurogeneticsnoveloperationpositional cloningpublic health relevanceresearch studysmall molecule librariessuccesssynaptic functiontherapeutic developmenttherapeutic targettooltransmission process
中文摘要
描述(由申请人提供):许多人类疾病,包括神经系统疾病、糖尿病和与衰老相关的疾病,本质上是分子和遗传的。为了从根本上了解这些疾病并发现药物干预措施,在模型遗传系统(包括蠕虫、苍蝇和鱼)中使用测定方法筛选大量试剂库不仅是一种可行的而且富有成效的方法。然而,目前的瓶颈是人工和半定量技术,如视觉屏幕或基于图像的屏幕,往往限制了实验的吞吐量;此外,将大型试剂库与这些测定相结合实际上是不可能或非常困难的。我们的长期目标是开发和使用工程技术支持的高通量和高含量方法来加速使用模式生物的发现过程。本项目的目标是开发一种结合微流体和自动化的新型高通量定量方法来研究参与突触传递功能的基因。从这项研究中出现的基因和途径可能成为神经系统疾病治疗的潜在目标。该方法具有创新性,因为这里开发的技术大大提高了现有筛选工具的能力,并且广泛适用于不同实验系统中的各种问题。这项研究具有重要意义,因为它填补了高通量和高含量筛选的技术空白,以及突触传递中基因和途径的知识空白。
英文摘要
DESCRIPTION (provided by applicant): Many human diseases including neurological diseases, diabetes, and diseases associated with aging are molecular and genetic in nature. To fundamentally understand these diseases and to discover pharmaceutical interventions, screening large libraries of reagents using assays in model genetic systems (including worms, flies, and fish) is not only a viable but fruitful approach. The current bottlenecks, however, are in the manual and semi-quantitative techniques such as visual screens or image-based screens, often limiting both the throughput of the experiments; in addition, it is practically impossible or very difficult to use large reagent libraries in conjunction with these assays. Our long- term objective is to develop and use engineering-enabled high-throughput and high-content methods to speed up the discovery processes using model organisms. The objective of this project is to develop a novel high-throughput quantitative method combining microfluidics and automation for studying genes involved in synaptic transmission functions. Genes and pathways emerging from this study could potentially become targets of therapeutics in neurological disorders. The approach is innovative because the technology developed here dramatically increases the capabilities of existing screening tools, and is widely applicable to a variety of problems in different experimental systems. The proposed research is significant because it fills a technology gap in high-throughput and high-content screens, and a knowledge gap in genes and pathways in synaptic transmission.
PUBLIC HEALTH RELEVANCE: Synapse transmission is an important and active area of research linking genes to the functions of synapses and the nervous system. It has direct applications to many human diseases such as dysfunctional motor control and mental illnesses.
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Advances in microfluidic cell separation and manipulation.
微流体细胞分离和操纵的进展。
DOI:
10.1016/j.coche.2013.10.001
发表时间:
2013-11-01
期刊:
Current opinion in chemical engineering
影响因子:
6.6
作者:
[Jackson EL, Lu H]
通讯作者:
Lu H
DOI:
10.1039/c3lc51334c
发表时间:
2014-05-21
期刊:
Lab on a chip
影响因子:
6.1
作者:
[Ai X, Zhuo W, Liang Q, McGrath PT, Lu H]
通讯作者:
Lu H
DOI:
10.1021/ac401472y
发表时间:
2013-10-01
期刊:
ANALYTICAL CHEMISTRY
影响因子:
7.4
作者:
[Zhan, Mei, Chingozha, Loice, Lu, Hang]
通讯作者:
Lu, Hang
DOI:
10.1039/c4lc00697f
发表时间:
2014-09-21
期刊:
Lab on a chip
影响因子:
6.1
作者:
[Hwang H, Krajniak J, Matsunaga Y, Benian GM, Lu H]
通讯作者:
Lu H
DOI:
10.1371/journal.pcbi.1004194
发表时间:
2015-04
期刊:
PLoS computational biology
影响因子:
4.3
作者:
[Zhan M, Crane MM, Entchev EV, Caballero A, Fernandes de Abreu DA, Ch'ng Q, Lu H]
通讯作者:
Lu H
共 6 条
Modularly built, complete, coordinate- and template-free brain atlases
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批准号:10570256
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项目类别:
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资助金额:$65.97万
-
财政年份:2022
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负责人:Hang Lu
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依托单位:
Modularly built, complete, coordinate- and template-free brain atlases
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批准号:10467697
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项目类别:
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资助金额:$68.83万
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财政年份:2022
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负责人:Hang Lu
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依托单位:
Functional analysis of whole-brain dynamics in learning
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批准号:10063920
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项目类别:
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资助金额:$46.18万
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财政年份:2019
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负责人:Hang Lu
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依托单位:
Functional analysis of whole-brain dynamics in learning
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批准号:9914432
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项目类别:
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资助金额:$48.06万
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财政年份:2019
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负责人:Hang Lu
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依托单位:
Functional analysis of whole-brain dynamics in learning
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批准号:10295765
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项目类别:
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资助金额:$47.63万
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财政年份:2019
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负责人:Hang Lu
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依托单位:
Functional Analysis of Whole-Brain Dynamics in Learning
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批准号:10527358
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项目类别:
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资助金额:$47.49万
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财政年份:2019
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负责人:Hang Lu
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依托单位:
Administrative Supplement: Systems variation underlying the genetics of aging
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批准号:9719249
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项目类别:
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资助金额:$22.49万
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财政年份:2017
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负责人:Hang Lu
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依托单位:
Systems variation underlying the genetics of aging
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批准号:9927549
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项目类别:
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资助金额:$49.21万
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财政年份:2017
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负责人:Hang Lu
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依托单位:
Systems variation underlying the genetics of aging
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批准号:9369804
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项目类别:
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资助金额:$49.5万
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财政年份:2017
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负责人:Hang Lu
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依托单位:
Microfluidic assays for hyper-reactive platelets in diabetes
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批准号:9199213
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项目类别:
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资助金额:$22.8万
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财政年份:2016
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负责人:Hang Lu
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依托单位:
Evolving multigenic extensions to lifespan
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批准号:8895557
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项目类别:
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资助金额:$21.55万
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财政年份:2015
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负责人:Hang Lu
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依托单位:
Automated droplet-based platform for combinatorial screens on whole animals
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批准号:9143767
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项目类别:
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资助金额:$19.49万
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财政年份:2015
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负责人:Hang Lu
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依托单位:
quantitative microscopy-based rapid phenotyping and screening
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批准号:8108756
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项目类别:
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资助金额:$27.42万
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财政年份:2011
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负责人:Hang Lu
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依托单位:
quantitative microscopy-based rapid phenotyping and screening
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批准号:8249809
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项目类别:
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资助金额:$27.42万
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财政年份:2011
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负责人:Hang Lu
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依托单位:
Quantitative microscopy-based rapid phenotyping and screening
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批准号:8964929
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项目类别:
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资助金额:$30.71万
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财政年份:2011
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负责人:Hang Lu
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依托单位:
Quantitative microscopy-based rapid phenotyping and screening
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批准号:9116662
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项目类别:
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资助金额:$30.65万
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财政年份:2011
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负责人:Hang Lu
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依托单位:
quantitative microscopy-based rapid phenotyping and screening
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批准号:8638024
-
项目类别:
-
资助金额:$27.42万
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财政年份:2011
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负责人:Hang Lu
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依托单位:
quantitative microscopy-based rapid phenotyping and screening
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批准号:8450116
-
项目类别:
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资助金额:$26.46万
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财政年份:2011
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负责人:Hang Lu
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依托单位:
HIGH-THROUGHPUT HIGH-CONTENT PLATFORM FOR IMAGE-BASED SCREENS
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批准号:8031285
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项目类别:
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资助金额:$22.19万
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财政年份:2010
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负责人:Hang Lu
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依托单位:
3D Co-culture with Micropatternable Hydrogels to Promote Fibrous Tissue Formation
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批准号:7739539
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项目类别:
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资助金额:$18.11万
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财政年份:2009
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负责人:Hang Lu
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依托单位:
国内基金
海外基金
Cd(II)在NH2-Agar/PSS双网络水凝胶上的吸附行为及资源化工艺研究
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批准号:51708204
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项目类别:青年科学基金项目
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资助金额:25.0万元
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批准年份:2017
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负责人:周贵寅
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依托单位: