Genetic and molecular search for targets of the Tribbles adaptor protein
Tribbles 接头蛋白靶标的遗传和分子搜索
基本信息
- 批准号:8953244
- 负责人:
- 金额:$ 19.71万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-06-01 至 2017-05-31
- 项目状态:已结题
- 来源:
- 关键词:Adaptor Signaling ProteinAlgorithmsAnimal ModelAnimalsAntineoplastic AgentsAttentionBindingCell DeathCell ProliferationCell SizeCell divisionCellsChemicalsCollectionColon CarcinomaComputersCore FacilityDataDefectDevelopmentDiabetes MellitusDiagnosisDietDiet and NutritionDiseaseDissectionDrosophila genusEnergy MetabolismEnzymesEpidemiologic StudiesExhibitsFamilyFamily memberFee-for-Service PlansGenesGeneticGenetic ModelsGenetic ScreeningGenetic studyGenomicsGlucoseGoalsGrowthHealthHomeostasisHumanHyperinsulinismImmunoprecipitationIndividualInsulinInsulin ReceptorInsulin ResistanceInsulin Signaling PathwayInsulin-Like Growth Factor IKnockout MiceLeadLesionLettersLibrariesLinkLipidsMalignant NeoplasmsMalignant neoplasm of thyroidMass Spectrum AnalysisMediatingMediator of activation proteinMeta-AnalysisMetabolicMetabolic DiseasesMetabolismMitosisModelingMolecularMolecular GeneticsMusNon-Insulin-Dependent Diabetes MellitusObesityOpen Reading FramesOrganismOutcomeOutputPathway interactionsPhenotypePhosphorylationPhosphotransferasesPopulationPositioning AttributePrecipitationPredispositionPremalignantPrevalenceProtein FamilyProtein IsoformsProteinsPublishingRattusReadingReportingRoleSignal PathwaySignal TransductionSomatomedinsSourceStressSystemTestingTimeTissuesTransgenesTransgenic OrganismsUp-RegulationVariantWhole OrganismWingbasecancer cellcancer typecdc25 Phosphatasecell growthcell motilitydiabeticdrug candidateflygene functiongenetic regulatory proteinhigh riskhigh throughput screeningimprovedinsightinsulin mediatorsinsulin signalingmalignant breast neoplasmmembermortalitynovelopen sourceprogramspublic health relevanceresponsetooltranscription factortumortumor growthtumor progression
项目摘要
DESCRIPTION (provided by applicant): Defects in insulin signaling have impacts on both metabolic disease and cancer. Epidemiological studies confirm long time observations that obese individuals and type 2 diabetics with hyperinsulinimia are at higher risk for various types of cancers, but the link between these disorders are unclear. Hyperinsulinimia may directly increase growth of tumor with high levels of insulin receptor, or indirectly increase Insulin-like Growth Factor (IGF) levels, which activates a pathway with well-established links to colon, breast and thyroid cancers. The prevalence of Type 2 diabetes (T2D) is increasing rapidly in populations worldwide, but public programs to improve diet and nutrition have largely failed to reduce the problem and an urgent need exists to understand how the pathway is modulated during cancer progression. Trib family members have been linked to both metabolic defects and cancer formation. This family of proteins shares a conserved kinase line central domain and functions by binding key regulatory proteins - with targets that include transcription factors, kinases and enzymes - to link multiple cell signaling pathways regulating cell growth, proliferation and differentiation. In humans, Tribbles 3 (Trib3) levels are aberrantly high in sufferers of both insulin resistance and T2DM, and a Trib3 protein variant (Trib3Q/R85) has been linked to populations predisposed to metabolic disease. Several anticancer agents have been shown to promote cancer cell death via TRIB3 upregulation and a recent report shows that Trib3 knockout mice exhibit accelerated formation of premalignant lesions due to increased activity of the insulin signaling pathway. Model genetic organisms offer a powerful system to uncover the conserved genetic mechanisms that connect the insulin signaling to cell growth and tissue homeostasis and over the past fifteen years, Drosophila has been used to study the genetics of insulin-regulated metabolism and energy homeostasis. In Drosophila, Tribbles binds and block cdc25 phosphatase, a key trigger of cell proliferation and our recently published data shows that Trbl antagonizes insulin signaling by binding and inhibiting the activation of Akt kinase, a key mediator of the insulin response. Our identification of fly Trbl as a antagonist of insulin signaling puts us in the advantageous position to use the genetic tools available in this simple model organism to identify interacting genes, pathways and drug candidates that as well as the opportunity to carry out rapid dissection of genetic mechanisms, neither of which is feasible in higher model organisms. Here we propose to search for novel Trbl pathway components - including binding partners and pathway targets - combining a genetic screen with a molecular screens. This proposal also develops a computer-based tool which will serve as (1) a new framework for quantitative analysis of cell growth and proliferation, and (2) a versatile, modular, open-source toolbox of algorithms enabling the discovery of genetic pathways, chemical probes, and drug candidates via high-throughput screens in the whole organism with relevance to a variety of diseases. Our goals are to use this simpler model genetic system to identify new conserved Trbl pathway components regulating cell growth and proliferation.
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 }}
LEONARD L DOBENS其他文献
LEONARD L DOBENS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('LEONARD L DOBENS', 18)}}的其他基金
Genetic and molecular search for targets of the Tribbles adaptor protein
Tribbles 接头蛋白靶标的遗传和分子搜索
- 批准号:
9070652 - 财政年份:2015
- 资助金额:
$ 19.71万 - 项目类别:
相似海外基金
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 19.71万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 19.71万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 19.71万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 19.71万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 19.71万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 19.71万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 19.71万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 19.71万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 19.71万 - 项目类别:
Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 19.71万 - 项目类别:
Research Grant














{{item.name}}会员




