Identifying novel networks of candidate Atrial Fibrillation genes in the Drosophila cardiac aging model
识别果蝇心脏衰老模型中候选心房颤动基因的新网络
基本信息
- 批准号:10155141
- 负责人:
- 金额:$ 6.86万
- 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:2021-04-01 至 2024-03-31
- 项目状态:已结题
- 来源:
- 关键词:Action PotentialsAddressAffectAgeAgingArrhythmiaAtrial FibrillationBiological ModelsCRISPR/Cas technologyCalciumCalcium SignalingCandidate Disease GeneCardiacCardiac MyocytesComplexDataDietDiseaseDrosophila genusDrug TargetingEctopic ExpressionEducational process of instructingEnvironmentEnvironmental Risk FactorEnzymesEpidemicEquipmentEtiologyExhibitsFatty acid glycerol estersFibrinogenFibrosisGeneral PopulationGenerationsGenesGeneticGenetic Predisposition to DiseaseHeartHeart AtriumHeart DiseasesHeart failureHigh Fat DietHomeostasisHumanIncidenceIndividualInvestigational TherapiesLaboratoriesLinkLipidsLong QT SyndromeLongevityMeasuresMediatingMetabolicModelingMolecularMyocardial dysfunctionNetwork-basedObesityOrganPathogenesisPathway interactionsPhenotypePhospholipidsPopulationPositioning AttributePostdoctoral FellowPotassium ChannelPredispositionProductionPumpQuality of lifeRegulator GenesResearchResearch PersonnelResearch TrainingResource SharingRisk FactorsRoleScientistSmall Interfering RNAStearoyl-CoA DesaturaseStressStrokeSystemTalentsTechnical ExpertiseTestingTissuesTrainingUniversitiesUnsaturated FatsValidationage relatedaging populationbasebioinformatics pipelinecardioprotectioncareercombinatorialdietaryendoplasmic reticulum stressfatty acid metabolismflygenetic manipulationgenetic variantgenome wide association studyheart functionheart rhythmhigh throughput screeninghuman old age (65+)improvedin vivoinduced pluripotent stem cellinherited cardiomyopathyinterdisciplinary approachknock-downnovelnovel therapeutic interventionnovel therapeuticsphospholambansarcoplasmic reticulum calcium ATPaseselective expression
项目摘要
Project Summary/Abstract
Atrial fibrillation (AF), the most common heart rhythm disorder, is reaching epidemic proportions in the aging
population, affecting nearly 33 million people worldwide. The incidence of AF increases with age, with individuals
over the age of 65 having a 9% chance of developing this arrhythmia. AF is the leading cause of heart failure
and stroke in human populations, and as the average lifespan continues to increase, so will the rates of these
disorders. However, the molecular etiology of AF is not well defined and treatment options are limited.
Additionally, there is evidence that common substrates link AF with other arrhythmia types and heart disease
(e.g. long QT syndrome). Recent research has identified both common genetic variants that increase AF
susceptibility in the general population and rare genetic variants linked to AF, suggesting that AF is likely a
multifactorial disease whose etiology involves network(s) of interacting genetic variants. Resolving these
complex interactions modulating cardiac function in AF is impractical in mammalian systems, but approachable
using Drosophila genetics. Drosophila provide an advantage in unraveling the largely unknown genetic regulators of
heart dysfunction due to the reduced genetic redundancy and high degree of conservation in the underlying pathways
and cellular mechanisms. A subset of AF-associated candidate genes likely interact in a combinatorial manner with
age and diet to cause cardiac arrhythmicity. Preliminary screens of candidate AF-related genes in both the fly
heart and in human induced pluripotent stem cell atrial-like cardiomyocytes (hiPSC-ACMs) have identified a
network of genes that suggests interactions between stearoyl-CoA desaturase (SCD) and two AF-associated
genes, KCNA5 and phospholamban (PLN). SCD, a key lipid metabolic enzyme, is known to disrupt sarcoplasmic
reticulum calcium ATPase pump (SERCA) activity, however, a KCNA5-SCD-SERCA-PLN network has not been
well demonstrated in cardiac tissue. Cardiac phenotyping of interactions found in AF networks in both model
systems will identify novel and likely conserved genetic pathways, providing novel therapeutic strategies. Sanford
Burnham Prebys (SBP) is an environment that is highly supportive of research and collaborative interdisciplinary
approaches, with extensive shared resources providing investigators with both cutting-edge equipment and
technical expertise. Dr. Kezos has already mastered a number of complementary scientific concepts and
approaches that he is using to address his research questions. Additionally, the Ocorr Laboratory is staffed with
talented postdoctoral fellows and staff scientists who will be of assistance to Dr. Kezos during the research
training. With the proposed training in the hiPSC model system, bioinformatics pipelines and CRISPR-Cas9
gene editing, Dr. Kezos will be well equipped to launch an impactful and independent research career to
investigate the genetics of cardiomyopathies. The proposed research strategy and training plan will accelerate
Dr. Kezos towards becoming an independent investigator with a research/teaching track position at a university.
项目摘要/摘要
心房颤动(AF)是最常见的心律障碍,在衰老中达到流行病
人口影响全球近3300万人。 AF的发生率随着年龄的增长而增加
超过65岁以上,有9%的心律失常的机会。 AF是心力衰竭的主要原因
人口中的中风,并且随着平均寿命继续增加,这些寿命也会增加
疾病。但是,AF的分子病因没有很好地定义,治疗方案受到限制。
此外,有证据表明,普通底物与其他心律不齐类型和心脏病联系起来
(例如长QT综合征)。最近的研究已经确定了增加AF的两种常见遗传变异
与AF相关的普通人群和罕见遗传变异的敏感性,这表明AF可能是一种
多因素疾病的病因涉及相互作用遗传变异的网络。解决这些
在哺乳动物系统中,调节AF中心脏功能的复杂相互作用是不切实际的,但平易近人
使用果蝇遗传学。果蝇在揭示未知的遗传调节剂方面提供了优势
心脏功能障碍由于遗传冗余降低和基础途径中的高度保护
和细胞机制。与AF相关的候选基因的子集可能以组合方式相互作用
年龄和饮食会引起心律不齐。两者中与AF相关的候选基因的初步筛选
心脏和人类诱导的多能干细胞心房样心肌细胞(HIPSC-ACM)已经鉴定
基因网络暗示了stearoyl-COA去饱和酶(SCD)与两个AF相关的相互作用
基因,KCNA5和磷脂(PLN)。 SCD是一种关键的脂质代谢酶,已知会破坏肌质
但是,网状钙ATPase泵(SERCA)活性,但是,KCNA5-SCD-SERCA-PLN网络尚未
在心脏组织中得到很好的证明。两种模型中AF网络中发现的相互作用的心脏表型
系统将确定新颖的遗传途径,提供新颖的治疗策略。桑福德
Burnham Prebys(SBP)是一个高度支持研究和协作跨学科的环境
方法,大量共享资源为调查人员提供了尖端设备和
技术专长。 Kezos博士已经掌握了许多互补的科学概念,
他用来解决他的研究问题的方法。此外,Ocorr实验室还配备
才华横溢的博士后研究员和员工科学家,他们将在研究期间为Kezos博士提供帮助
训练。随着HIPSC模型系统,生物信息学管道和CRISPR-CAS9的拟议培训
基佐斯博士的基因编辑将有能力发起影响力和独立的研究职业
研究心肌病的遗传学。拟议的研究策略和培训计划将加速
Kezos博士成为大学的独立研究员,并在大学担任研究/教学轨道职位。
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 }}
James Kezos其他文献
James Kezos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('James Kezos', 18)}}的其他基金
Identifying novel networks of candidate Atrial Fibrillation genes in the Drosophila cardiac aging model
识别果蝇心脏衰老模型中候选心房颤动基因的新网络
- 批准号:
10400009 - 财政年份:2021
- 资助金额:
$ 6.86万 - 项目类别:
Identifying novel networks of candidate Atrial Fibrillation genes in the Drosophila cardiac aging model
识别果蝇心脏衰老模型中候选心房颤动基因的新网络
- 批准号:
10576323 - 财政年份:2021
- 资助金额:
$ 6.86万 - 项目类别:
相似国自然基金
时空序列驱动的神经形态视觉目标识别算法研究
- 批准号:61906126
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
本体驱动的地址数据空间语义建模与地址匹配方法
- 批准号:41901325
- 批准年份:2019
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
- 批准号:61802133
- 批准年份:2018
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
- 批准号:61872252
- 批准年份:2018
- 资助金额:64.0 万元
- 项目类别:面上项目
针对内存攻击对象的内存安全防御技术研究
- 批准号:61802432
- 批准年份:2018
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
相似海外基金
Genetically-Encoded, Non-Invasive and Wireless Modulation of Calcium Dynamics in Astrocytes With Spatiotemporal Precision and Depth
具有时空精度和深度的星形胶质细胞钙动态的基因编码、非侵入性无线调节
- 批准号:
10562265 - 财政年份:2023
- 资助金额:
$ 6.86万 - 项目类别:
Investigating the interactions of auxillary subunits with the Nav1.5 channel
研究辅助亚基与 Nav1.5 通道的相互作用
- 批准号:
10678156 - 财政年份:2023
- 资助金额:
$ 6.86万 - 项目类别:
BRITE-Eye: An integrated discovery engine for CNS therapeutic targets driven by high throughput genetic screens, functional readouts in human neurons, and machine learning
BRITE-Eye:由高通量遗传筛选、人类神经元功能读数和机器学习驱动的中枢神经系统治疗靶点的集成发现引擎
- 批准号:
10699137 - 财政年份:2023
- 资助金额:
$ 6.86万 - 项目类别: