Biosensor Assay to Screen for Signaling Pathway Inhibition in Cancer
用于筛选癌症信号通路抑制的生物传感器测定
基本信息
- 批准号:8956420
- 负责人:
- 金额:$ 17.39万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-04-01 至 2019-02-28
- 项目状态:已结题
- 来源:
- 关键词:Acute Myelocytic LeukemiaAddressAntineoplastic AgentsAreaAwardBindingBioinformaticsBiologicalBiological AssayBiosensorCell LineCellsChronicChronic Lymphocytic LeukemiaClinicClinicalColorCompanionsComplexDataDetectionDevelopmentDiagnosticDiseaseDisease modelDrug CombinationsDrug resistanceDyesEnergy TransferEnvironmentEvaluationExhibitsFaceFailureFamilyFutureGoalsHematologic NeoplasmsImatinibIn VitroJAK2 geneLanthanoid Series ElementsLeadLibrariesLifeLuminescent MeasurementsMalignant NeoplasmsMeasuresMethodsMonitorMutationMyelogenousOncologyPathway interactionsPatientsPeptidesPharmaceutical PreparationsPharmacologyPhenotypePhosphorylationPhosphotransferasesPoint MutationPreclinical Drug EvaluationProcessProtein KinaseProtein Kinase InhibitorsProteinsProteomicsProtocols documentationRelapseResistanceSamplingSignal PathwaySignal TransductionStagingSystemTechniquesTechnologyTestingTimeTreatment EffectivenessTreatment outcomeUp-RegulationValidationWorkbasechemotherapyclinically relevantdesigndrug actiondrug developmentdrug discoverydrug sensitivitydrug-sensitivefluorophorehuman SYK proteinimprovedin vivoinhibitor/antagonistinsightkinase inhibitorknowledge baseleukemialuminescencenext generationnovelpre-clinicalpreclinical studypreventprotein kinase inhibitorpublic health relevancereconstitutionresistance mechanismresponsescreeningsensorsmall moleculesuccesstherapy developmenttime usetooltool developmentward
项目摘要
Kinase inhibitors created a new paradigm in chemotherapy and are a major focus of new oncology drug
development, but developmental success rates are low (5-10%). Resistance to kinase inhibitors occurs through
target-dependent mechanisms (e.g. point mutations that abrogate drug binding) and target-independent
mechanisms (e.g. upregulation of alternative signaling pathways, termed "kinome reprogramming").
Therefore, combinations of inhibitors that target several kinases at once are desirable to have a better chance of
avoiding the resistance/relapse cycle. Detecting protein kinase activity inside living cells (rather than in lysates
or reconstituted systems) is important for understanding kinase inhibitor drug sensitivity and resistance
mechanisms, and would lead to better screening for inhibitors likely to make it through the development
process. We will develop multiplexed, cell-based assays for specific kinase activities that are important to
inhibitor response and kinome reprogramming, and use them to detect kinase activation profiles in patient
cells and for inhibitor screens. Phosphorylation of the biosensors is detected using time-resolved lanthanide
luminescence measurements, in which Tb3+ emission energy is measured directly via small molecule
fluorophores to give different emission colors depending on the fluorophore. In Aim 1, we will establish
quantitative assays for activity (and therefore inhibition) of key kinases in drug sensitive and drug resistant
CML cells, profiling the pathway activation phenotypes in therapeutically relevant cellular states. We will use
the set of biosensors we have already established in preliminary work, and add biosensors for other kinases as
they are developed. The assays will be established with cell lines and samples from CML patients (comparing to
healthy controls), and validated with RT-qPCR and SWATH" proteomics. In Aim 2, we will screen for
synergies between existing kinase inhibitor drugs and new compounds (via libraries). We will also develop
homogenous multiplexed analysis of biosensor phosphorylation using energy transfer from lanthanides to
organic dyes. In Aim 3, we expand the biosensor design pipeline to develop new, non-natural peptide
substrates to use as biosensors for other kinases. The work described in this aim will add to the set of
biosensors we already have available. Completion of the work described in this proposal will give us a novel
assay for multiple kinases, a suite of new biosensors as well as new and refined detection strategies to use in
screening. Drug discovery will benefit from this technology's ability to address kinome reprogramming
mechanisms by targeting several kinases at a time. Drug development will benefit from companion assays for
multiple targets that could follow a drug or drug combination through the hit to lead transition, target
validation, pre-clinical studies, clinical trials, and beyond into treatment management. This assay and its
associated tools will contribute to the next generation of targeted therapy development in cancer by breaking
new ground in our ability to model the disease environment during drug screening and development.
激酶抑制剂在化疗中创造了一个新的范例,并且是新的肿瘤药物的主要焦点
发展,但发展的成功率很低(5-10%)。对激酶抑制剂的耐药性是通过
靶点依赖性机制(例如,消除药物结合的点突变)和靶点非依赖性机制
这些机制(例如上调替代信号传导途径,称为“激酶组重编程”)。
因此,期望同时靶向几种激酶的抑制剂的组合具有更好的机会。
避免耐药/复发循环。检测活细胞内的蛋白激酶活性(而不是裂解物中
或重组系统)对于理解激酶抑制剂药物敏感性和耐药性是重要的
机制,并将导致更好地筛选抑制剂可能使其通过发展
过程我们将开发针对特定激酶活性的多路复用的、基于细胞的检测方法,
抑制剂反应和激酶组重编程,并使用它们检测患者中激酶活化谱
细胞和抑制剂筛选。磷酸化的生物传感器检测使用时间分辨镧系元素
发光测量,其中Tb 3+发射能量通过小分子直接测量
荧光团,以根据荧光团给出不同的发射颜色。在目标1中,我们将
用于药物敏感和耐药细胞中关键激酶活性(以及因此抑制)的定量测定
CML细胞,分析治疗相关细胞状态下的通路激活表型。我们将使用
我们已经在初步工作中建立了一套生物传感器,并添加了其他激酶的生物传感器,
它们是发达的。将用来自CML患者的细胞系和样品建立测定法(与对照组相比)。
健康对照),并用RT-qPCR和SWATH蛋白质组学验证。在目标2中,我们将筛选
现有激酶抑制剂药物和新化合物之间的协同作用(通过文库)。我们还将开发
使用从镧系元素到
有机染料在目标3中,我们扩展了生物传感器设计管道,以开发新的非天然肽
底物用作其他激酶的生物传感器。这一目标中所述的工作将增加一套
我们已经有了生物传感器完成本建议书中所描述的工作将给我们带来一部小说。
多种激酶的测定,一套新的生物传感器以及新的和完善的检测策略,用于
筛选药物发现将受益于这项技术解决激酶组重编程的能力
一次靶向几种激酶的机制。药物开发将受益于伴随测定,
多个目标,可以遵循药物或药物组合,通过命中导致过渡,目标
验证、临床前研究、临床试验以及治疗管理。该测定及其
相关工具将有助于下一代癌症靶向治疗的发展,
我们在药物筛选和开发过程中模拟疾病环境的能力的新基础。
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 }}
Laurie L. Parker其他文献
Laurie L. Parker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('Laurie L. Parker', 18)}}的其他基金
Multiplexed proteomics-based kinase assay development
基于多重蛋白质组学的激酶测定开发
- 批准号:
10810004 - 财政年份:2022
- 资助金额:
$ 17.39万 - 项目类别:
Multiplexed proteomics-based kinase assay development
基于多重蛋白质组学的激酶测定开发
- 批准号:
10467462 - 财政年份:2022
- 资助金额:
$ 17.39万 - 项目类别:
Multiplexed proteomics-based kinase assay development
基于多重蛋白质组学的激酶测定开发
- 批准号:
10793244 - 财政年份:2022
- 资助金额:
$ 17.39万 - 项目类别:
Multiplexed proteomics-based kinase assay development
基于多重蛋白质组学的激酶测定开发
- 批准号:
10615893 - 财政年份:2022
- 资助金额:
$ 17.39万 - 项目类别:
High-Throughput Screening Platform for Cancer Drug Discovery
癌症药物发现的高通量筛选平台
- 批准号:
10432025 - 财政年份:2020
- 资助金额:
$ 17.39万 - 项目类别:
High-Throughput Screening Platform for Cancer Drug Discovery
癌症药物发现的高通量筛选平台
- 批准号:
10163816 - 财政年份:2020
- 资助金额:
$ 17.39万 - 项目类别:
Biosensor Assay to Screen for Signaling Pathway Inhibition in Cancer
用于筛选癌症信号通路抑制的生物传感器测定
- 批准号:
9445128 - 财政年份:2017
- 资助金额:
$ 17.39万 - 项目类别:
Fluorescence lifetime-based single fluorophore biosensors of post-translational modification enzyme activity
基于荧光寿命的翻译后修饰酶活性单荧光团生物传感器
- 批准号:
9359690 - 财政年份:2017
- 资助金额:
$ 17.39万 - 项目类别:
Biosensor Assay to Screen for Signaling Pathway Inhibition in Cancer
用于筛选癌症信号通路抑制的生物传感器测定
- 批准号:
9076374 - 财政年份:2014
- 资助金额:
$ 17.39万 - 项目类别:
Multiplexed Kinase Biosensor Technology to Detect Leukemia Signaling with Mass Sp
多重激酶生物传感器技术通过 Mass Sp 检测白血病信号传导
- 批准号:
8930087 - 财政年份:2014
- 资助金额:
$ 17.39万 - 项目类别:
相似海外基金
Rational design of rapidly translatable, highly antigenic and novel recombinant immunogens to address deficiencies of current snakebite treatments
合理设计可快速翻译、高抗原性和新型重组免疫原,以解决当前蛇咬伤治疗的缺陷
- 批准号:
MR/S03398X/2 - 财政年份:2024
- 资助金额:
$ 17.39万 - 项目类别:
Fellowship
CAREER: FEAST (Food Ecosystems And circularity for Sustainable Transformation) framework to address Hidden Hunger
职业:FEAST(食品生态系统和可持续转型循环)框架解决隐性饥饿
- 批准号:
2338423 - 财政年份:2024
- 资助金额:
$ 17.39万 - 项目类别:
Continuing Grant
Re-thinking drug nanocrystals as highly loaded vectors to address key unmet therapeutic challenges
重新思考药物纳米晶体作为高负载载体以解决关键的未满足的治疗挑战
- 批准号:
EP/Y001486/1 - 财政年份:2024
- 资助金额:
$ 17.39万 - 项目类别:
Research Grant
Metrology to address ion suppression in multimodal mass spectrometry imaging with application in oncology
计量学解决多模态质谱成像中的离子抑制问题及其在肿瘤学中的应用
- 批准号:
MR/X03657X/1 - 财政年份:2024
- 资助金额:
$ 17.39万 - 项目类别:
Fellowship
CRII: SHF: A Novel Address Translation Architecture for Virtualized Clouds
CRII:SHF:一种用于虚拟化云的新型地址转换架构
- 批准号:
2348066 - 财政年份:2024
- 资助金额:
$ 17.39万 - 项目类别:
Standard Grant
The Abundance Project: Enhancing Cultural & Green Inclusion in Social Prescribing in Southwest London to Address Ethnic Inequalities in Mental Health
丰富项目:增强文化
- 批准号:
AH/Z505481/1 - 财政年份:2024
- 资助金额:
$ 17.39万 - 项目类别:
Research Grant
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10107647 - 财政年份:2024
- 资助金额:
$ 17.39万 - 项目类别:
EU-Funded
BIORETS: Convergence Research Experiences for Teachers in Synthetic and Systems Biology to Address Challenges in Food, Health, Energy, and Environment
BIORETS:合成和系统生物学教师的融合研究经验,以应对食品、健康、能源和环境方面的挑战
- 批准号:
2341402 - 财政年份:2024
- 资助金额:
$ 17.39万 - 项目类别:
Standard Grant
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10106221 - 财政年份:2024
- 资助金额:
$ 17.39万 - 项目类别:
EU-Funded
Recite: Building Research by Communities to Address Inequities through Expression
背诵:社区开展研究,通过表达解决不平等问题
- 批准号:
AH/Z505341/1 - 财政年份:2024
- 资助金额:
$ 17.39万 - 项目类别:
Research Grant














{{item.name}}会员




