Integrated ImageXpress Micro Confocal High Content Screening System
集成 ImageXpress 微型共焦高内涵筛选系统
基本信息
- 批准号:10175498
- 负责人:
- 金额:$ 79.9万
- 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
- 起止时间:2021-06-15 至 2022-05-31
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAcademiaAutomationBiochemicalBiological AssayBiologyBiomedical ResearchCell LineCellsChemicalsClinicalComplexDevicesDiseaseDisease modelDrug CombinationsDrug ScreeningDrug toxicityEquipmentFluorescenceFunctional disorderGuide RNAImageIncubatorsIndustryInstitutesIntentionLibrariesMeasuresMethodsMicroscopeMissionMolecularOpen Reading FramesOrganoidsPatientsPhenotypePreclinical TestingRNA InterferenceResistanceRobotRoboticsRouteScientific Advances and AccomplishmentsServicesSmall Interfering RNASpeedSystemTechnologyTherapeuticTissuesVendorVirus Replicationarmbasecellular imagingclinically relevantconfocal imagingdesigndrug candidatedrug discoverydrug mechanismfunctional genomicshigh throughput screeninghuman diseaseimaging capabilitiesimaging systemin vitro Modelinduced pluripotent stem cellinnovative technologiesinstrumentinstrumentationmeetingsnovel therapeuticsresponsescreeningsmall moleculestem cellstherapeutic developmentthree dimensional structurethree-dimensional modeling
项目摘要
PROJECT SUMMARY
In the last 20 years, both academia and industry have significantly shifted from target-based drug discovery to
phenotypic screening. An unmet need in the biomedical research enterprise has long been human disease
models with reliable translational content that can be used to screen small molecule or RNAi/gRNA/ORF libraries
for desirable phenotype changes. Recent advances in culturing organoids or 3D tissue derived from patient or
progenitor cells provide opportunities for meeting this challenge. It is widely accepted that drug discovery using
such in vitro models represents an accelerated route to pre-clinical testing of drug candidates because organoids
and 3D structures more closely resemble the complex physiopathology of diseased tissue than cultured cell lines
or biochemical assays. An ongoing challenge in the field is the upgrading of instrumentation, technology, and
methods to visualize and measure components and features (phenotypes) in responses to molecular treatment
within these 3D models.
The Vanderbilt Institute of Chemical Biology and Vanderbilt High-throughput Screening (VHTS) facility is a well-
established academic drug discovery center that uses innovative technologies to advance scientific and clinical
therapeutic discoveries. Currently, the VHTS facility has an automated fluorescence-based microscope for high-
content imaging (HCI) and phenotypic screening that is integrated with a robot arm and incubator, which allow
for automated live and fixed cell imaging in micro-titer plates. Studies that have utilized this system include iPSC-
derived cell screens, functional genomics screens (siRNA, ORF), mechanisms of viral replication, drug toxicity
studies, drug screens for novel therapeutic development, drug mechanisms of action and resistance, and drug
combination studies. However, due to the lack of confocal imaging capability, this system is severely inadequate
for imaging and measuring features within organoids and 3D structures. In addition, the current vendor no longer
supports service of the robot arm and incubator. Therefore, it is critical to acquire a new automated HCI system,
complete with robotic equipment, in order to enable state-of-the-art high-throughput phenotypic screening
approaches to disease biology and drug discovery using organoids and 3D structures. The proposed HCI drug
discovery system will center on a Molecular Devices (MD) ImageXpress Micro Confocal HCI system, with
integration of a Precise Automation PreciseFlex PF400 robot arm and Liconic automated incubator. This
combination of instruments will allow for high-throughput phenotypic screening at every desired level and
capacity. We note that MD has committed to designing the most robust automated microscope instrument with
the intention of implementing optimization for both speed and accuracy specifically for HCI of 3D structures and
organoids. The proposed system would add significant value to the already established Vanderbilt clientele, as
well as, to the mission of VICB and VHTS facility in drug discovery using disease models with strong potential to
identify therapeutic strategies with clinical relevance.
项目概要
在过去的 20 年里,学术界和工业界都已从基于靶点的药物发现显着转向基于靶点的药物发现。
表型筛选。人类疾病长期以来一直是生物医学研究企业未满足的需求
具有可靠翻译内容的模型,可用于筛选小分子或 RNAi/gRNA/ORF 文库
以获得理想的表型变化。培养源自患者或患者的类器官或 3D 组织的最新进展
祖细胞为应对这一挑战提供了机会。人们普遍认为,药物发现使用
这种体外模型代表了候选药物临床前测试的加速途径,因为类器官
与培养细胞系相比,3D 结构更类似于患病组织的复杂生理病理学
或生化测定。该领域持续面临的挑战是仪器、技术和技术的升级
可视化和测量分子治疗反应中的成分和特征(表型)的方法
在这些 3D 模型中。
范德比尔特化学生物学研究所和范德比尔特高通量筛选 (VHTS) 设施是一个良好的
建立学术药物发现中心,利用创新技术推进科学和临床
治疗发现。目前,VHTS 设施拥有一台基于荧光的自动显微镜,可用于高
内容成像 (HCI) 和表型筛选与机械臂和培养箱集成,允许
用于微量滴定板中的自动活细胞和固定细胞成像。利用该系统的研究包括 iPSC-
衍生细胞筛选、功能基因组筛选(siRNA、ORF)、病毒复制机制、药物毒性
研究、新疗法开发的药物筛选、药物作用和耐药机制以及药物
组合研究。然而,由于缺乏共焦成像能力,该系统严重不足
用于对类器官和 3D 结构内的特征进行成像和测量。此外,目前的供应商不再
支持机械臂和孵化器的服务。因此,获得一个新的自动化人机交互系统至关重要,
配备机器人设备,以实现最先进的高通量表型筛选
使用类器官和 3D 结构进行疾病生物学和药物发现的方法。拟议的 HCI 药物
发现系统将以 Molecular Devices (MD) ImageXpress Micro Confocal HCI 系统为中心,
Precise Automation PreciseFlex PF400 机械臂和 Liconic 自动培养箱的集成。这
仪器组合将允许在每个所需水平进行高通量表型筛选
容量。我们注意到 MD 致力于设计最坚固的自动化显微镜仪器
专门针对 3D 结构的 HCI 实施速度和精度优化的意图,以及
类器官。拟议的系统将为范德比尔特已经建立的客户群增加显着的价值,因为
以及 VICB 和 VHTS 设施利用具有强大潜力的疾病模型进行药物发现的使命
确定具有临床相关性的治疗策略。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
High-Content Imaging Platform to Discover Chemical Modulators of Plasma Membrane Rafts.
用于发现质膜筏化学调节剂的高内涵成像平台。
- DOI:
- 发表时间:2022-03-23
- 期刊:
- 影响因子:18.2
- 作者:Fricke, Nico;Raghunathan, Krishnan;Tiwari, Ajit;Stefanski, Katherine M;Balakrishnan, Muthuraj;Waterson, Alex G;Capone, Ricardo;Huang, Hui;Sanders, Charles R;Bauer, Joshua A;Kenworthy, Anne K
- 通讯作者:Kenworthy, Anne K
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Joshua A. Bauer其他文献
Combined Dusp4 and p53 loss with Dbf4 amplification drives tumorigenesis via cell cycle restriction and replication stress escape in breast cancer
Dusp4 和 p53 缺失与 Dbf4 扩增相结合,通过乳腺癌中的细胞周期限制和复制应激逃逸驱动肿瘤发生
- DOI:
10.1186/s13058-022-01542-y - 发表时间:
2022-07-18 - 期刊:
- 影响因子:0
- 作者:
Ann Hanna;Mellissa J. Nixon;M. V. Estrada;V. Sanchez;Q. Sheng;S. Opalenik;A. Toren;Joshua A. Bauer;Phillip Owens;F. Mason;R. Cook;M. Sanders;C. Arteaga;J. Balko - 通讯作者:
J. Balko
VU6036720: The First Potent and Selective In Vitro Inhibitor of Heteromeric Kir4.1/5.1 Inward Rectifier Potassium Channels
VU6036720:第一个异聚 Kir4.1/5.1 内向整流钾通道的有效选择性体外抑制剂
- DOI:
10.1124/molpharm.121.000464 - 发表时间:
2022-03-03 - 期刊:
- 影响因子:3.6
- 作者:
Samantha J McClenahan;C. Kent;S. Kharade;Elena Isaeva;Jade Williams;Changho Han;A. Terker;R. Gresham;R. Lazarenko;Emily L. Days;Ian M. Romaine;Joshua A. Bauer;O. Boutaud;G. Sulikowski;Raymond Harris;C. Weaver;A. Staruschenko;C. Lindsley;J. Denton - 通讯作者:
J. Denton
In vitro Effects of the BH3 Mimetic, (−)-Gossypol, on Head and Neck Squamous Cell Carcinoma Cells
BH3 模拟物 (−)-棉酚对头颈鳞状细胞癌细胞的体外影响
- DOI:
10.1158/1078-0432.ccr-04-0551 - 发表时间:
2004-11-15 - 期刊:
- 影响因子:11.5
- 作者:
Christopher L. Oliver;Joshua A. Bauer;K. Wolter;Mathew L. Ubell;A. Narayan;K. M. O'connell;S. Fisher;Shaomeng Wang;Xihan Wu;M. Ji;T. Carey;C. Bradford - 通讯作者:
C. Bradford
Targeting MYCN-expressing triple-negative breast cancer with BET and MEK inhibitors
使用 BET 和 MEK 抑制剂靶向表达 MYCN 的三阴性乳腺癌
- DOI:
10.1126/scitranslmed.aaw8275 - 发表时间:
2020-03-11 - 期刊:
- 影响因子:17.1
- 作者:
J. Schafer;B. Lehmann;Paula I. Gonzalez;C. Marshall;C. Marshall;J. Beeler;Lindsay N Redman;Hailing Jin;V. Sanchez;M. Stubbs;P. Scherle;Kimberly N. Johnson;Q. Sheng;Joseph T. Rol;Joshua A. Bauer;Y. Shyr;B. Chakravarthy;B. Mobley;S. Hiebert;S. Hiebert;J. Balko;M. S;ers;ers;Phillip C. C. Liu;J. Pietenpol;J. Pietenpol - 通讯作者:
J. Pietenpol
Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.
鉴定人类三阴性乳腺癌亚型和用于选择靶向治疗的临床前模型。
- DOI:
10.1172/jci45014 - 发表时间:
2011-07-01 - 期刊:
- 影响因子:0
- 作者:
B. Lehmann;Joshua A. Bauer;X. Chen;M. S;ers;ers;A. Chakravarthy;Y. Shyr;J. Pietenpol - 通讯作者:
J. Pietenpol
Joshua A. Bauer的其他文献
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{{ truncateString('Joshua A. Bauer', 18)}}的其他基金
Automated Compound Storage and Retrieval System
自动化化合物存储和检索系统
- 批准号:
10415712 - 财政年份:2022
- 资助金额:
$ 79.9万 - 项目类别:
Identification of druggable targets for triple-negative breast cancer
三阴性乳腺癌药物靶标的鉴定
- 批准号:
7615211 - 财政年份:2009
- 资助金额:
$ 79.9万 - 项目类别:
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