A Label-Free, Many-Parameter Benchtop Platform for Functionally-Preserved, Viable Cancer Stem Cell Isolation and Biomarker Discovery to Probe Urothelial Carcinoma of the Bladder
无标记、多参数台式平台,用于功能保留、活的癌症干细胞分离和生物标志物发现,以探测膀胱尿路上皮癌
基本信息
- 批准号:10086817
- 负责人:
- 金额:$ 5.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-20 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressBenchmarkingBiological AssayBiological MarkersBladder NeoplasmCD44 geneCalibrationCell LineCell SeparationCell SurvivalCell TherapyCellsCellular AssayCessation of lifeCisplatinClinicalDetectionDevelopmentEarly DiagnosisFlow CytometryFluorescenceFluorescence-Activated Cell SortingGenerationsGenesGrowthHeterogeneityLabelLeadMaintenanceMalignant - descriptorMalignant NeoplasmsMalignant neoplasm of urinary bladderMarker DiscoveryMasksMicrofluidicsMolecularMonitorOutcomePainPatient-Focused OutcomesPatientsPhasePopulationPopulation ControlPropertyQuantitative Reverse Transcriptase PCRRegulationResistanceSamplingScreening for cancerSorting - Cell MovementSystemTechnologyTestingTimeTransitional Cell CarcinomaTransurethral ResectionUnited StatesUniversitiesUrinary tractUrineUrotheliumValidationWalkingXenograft procedurebasebiomarker discoverybiomarker identificationbiomarker panelbladder Carcinomabladder transitional cell carcinomacancer cellcancer stem cellcancer subtypeschemotherapeutic agentearly detection biomarkersimprovedinsightinstrumentmedical schoolsnovelnovel therapeuticspreservationscreeningstem-like celltargeted treatmenttherapy developmenttooltraittreatment optimizationtumor
项目摘要
Nodexus’ previously developed NX One system leverages node-pore sensing electrical detection (non-
marker-based) and fluorescence-based marker detection of cells in combination with low-shear microfluidic
valving for viable cell sorting and single-cell isolation. In this proposal, we highlight a new instrument that
integrates our demonstrated node-pore sensing (“NPS”) single-cell isolation with label-free multi-marker
screening for the quickly emerging cancer stem cell (CSC) space, efficient biomarker discovery and
functional studies for targeted therapy development would be transformative, but easy access to viable,
functionally-preserved live single-cells is not possible using any single commercial instrument. While
the platform will eventually be applicable across more cancer subtypes, our initial point of entry into this sector
focuses on urothelial carcinoma of the bladder (UCB). Urothelial carcinoma of the bladder is the most common
malignancy of the urinary tract, with >600,000 living with bladder cancer and ~79,030 new cases and 16,870
deaths per year in the United States. From extensive conversations with experts in the field, we have found
critical pain points related to UCB that the Nodexus platform can address.
CSCs are a subpopulation within a heterogeneous mixture of cancer cells that have enhanced pro-
malignant properties, but the contribution of specific markers to stem cell-like traits and their clinical utility as
biomarkers have not been conclusively determined, making targeted therapy for these cells extremely
challenging. A better understanding of the molecular mechanisms underlying urothelial CSC regulation and
identification of key molecules associated with CSC generation and maintenance are pivotal for the
determination of universally accepted, clinically-accurate biomarkers for early cancer detection and monitoring
following transurethral resection of bladder tumor (TURBT) as well as the development of effective targeted
therapies.
The complexity with studying CSCs is immensely increased due to the heterogeneity within tumors and
the variance in CSC-like traits and functional importance in different cancer subtypes. Conclusive confirmation
of marker-associated functionality will open the door for targeted therapy development. Further studies of
comprehensive panels of markers performed simultaneously will provide significant value for downstream
studies for conclusive biomarker identification and optimized therapies. Critically, the functional relevance of
such markers must be evaluated and understood; this requires being able to comprehensively screen for
numerous markers, isolate single-cell populations to unveil masked heterogeneity, and perform downstream
functional studies (e.g. growth, invasion, and resistance to chemotherapeutic agents) on these viable,
functionally-preserved isolated single-cells. While existing technologies, such as FACS, MACS, and CyTOF have
provided tremendous value within the broader space, none provide label-free easy access to extensively
characterized, live, functionally preserved single CSCs in a manner that the Nodexus platform will offer.
Nodexus先前开发的NX One系统利用节点孔传感电检测(非
基于标记的)和基于荧光的标记检测
用于活细胞分选和单细胞分离的阀门。在本提案中,我们强调了一项新的文书,
将我们证明的节点-孔感测(“Node-pore sensing”)单细胞分离与无标记的多标记物
筛选快速出现的癌症干细胞(CSC)空间,有效的生物标志物发现,
靶向治疗开发的功能研究将是变革性的,但容易获得可行的,
使用任何单一的商业仪器不可能获得功能性保存的活单细胞。而
该平台最终将适用于更多的癌症亚型,这是我们进入这一领域的最初起点。
膀胱尿路上皮癌(UCB)膀胱尿路上皮癌最常见
泌尿道恶性肿瘤,超过600,000人患有膀胱癌,约79,030例新发病例和16,870例
美国每年死亡人数。通过与该领域专家的广泛交谈,我们发现
Nodexus平台可以解决的与UCB相关的关键痛点。
CSC是癌细胞的异质混合物中的亚群,其具有增强的促增殖活性。
恶性性质,但特异性标志物对干细胞样性状的贡献及其临床效用,
生物标志物尚未最终确定,使得针对这些细胞的靶向治疗非常困难。
挑战性更好地理解尿路上皮CSC调控的分子机制,
鉴定与CSC生成和维持相关的关键分子对于研究CSC的生物学特性是至关重要的。
确定普遍接受的、临床上准确的生物标志物,用于早期癌症检测和监测
经尿道膀胱肿瘤电切术(TURBT)后,以及有效的靶向治疗的发展,
治疗
由于肿瘤内的异质性,研究CSC的复杂性大大增加,
不同癌症亚型中CSC样特征和功能重要性的差异。结论性确认
标志物相关功能的开发将为靶向治疗的开发打开大门。进一步研究
同时进行的全面的标志物小组将为下游提供重要价值,
用于确定生物标志物鉴定和优化治疗的研究。关键是,
必须评估和理解这些标记;这需要能够全面筛查
许多标记,分离单细胞群体以揭示被掩盖的异质性,并在下游进行
对这些存活的,
功能保存的分离的单细胞。虽然现有的技术,如FACS、MACS和CyTOF,
在更广阔的空间内提供了巨大的价值,没有一个提供了广泛的无标签轻松访问
以Nodexus平台将提供的方式鉴定、活的、功能性保存的单个CSC。
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 }}
Karthik Ratna Balakrishnan其他文献
Karthik Ratna Balakrishnan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('Karthik Ratna Balakrishnan', 18)}}的其他基金
An urgently needed low-cost, rapidly deployable platform for simultaneous SARS-CoV-2 viral particle and COVID-19 IgG/IgM detection and quantification
迫切需要一个低成本、可快速部署的平台,用于同时检测和定量 SARS-CoV-2 病毒颗粒和 COVID-19 IgG/IgM
- 批准号:
10172022 - 财政年份:2019
- 资助金额:
$ 5.5万 - 项目类别:
相似国自然基金
企业绩效评价的DEA-Benchmarking方法及动态博弈研究
- 批准号:70571028
- 批准年份:2005
- 资助金额:16.5 万元
- 项目类别:面上项目
相似海外基金
An innovative EDI data, insights & peer benchmarking platform enabling global business leaders to build data-led EDI strategies, plans and budgets.
创新的 EDI 数据、见解
- 批准号:
10100319 - 财政年份:2024
- 资助金额:
$ 5.5万 - 项目类别:
Collaborative R&D
BioSynth Trust: Developing understanding and confidence in flow cytometry benchmarking synthetic datasets to improve clinical and cell therapy diagnos
BioSynth Trust:发展对流式细胞仪基准合成数据集的理解和信心,以改善临床和细胞治疗诊断
- 批准号:
2796588 - 财政年份:2023
- 资助金额:
$ 5.5万 - 项目类别:
Studentship
Elements: CausalBench: A Cyberinfrastructure for Causal-Learning Benchmarking for Efficacy, Reproducibility, and Scientific Collaboration
要素:CausalBench:用于因果学习基准测试的网络基础设施,以实现有效性、可重复性和科学协作
- 批准号:
2311716 - 财政年份:2023
- 资助金额:
$ 5.5万 - 项目类别:
Standard Grant
Benchmarking collisional rates and hot electron transport in high-intensity laser-matter interaction
高强度激光-物质相互作用中碰撞率和热电子传输的基准测试
- 批准号:
2892813 - 财政年份:2023
- 资助金额:
$ 5.5万 - 项目类别:
Studentship
Collaborative Research: SHF: Medium: A Comprehensive Modeling Framework for Cross-Layer Benchmarking of In-Memory Computing Fabrics: From Devices to Applications
协作研究:SHF:Medium:内存计算结构跨层基准测试的综合建模框架:从设备到应用程序
- 批准号:
2347024 - 财政年份:2023
- 资助金额:
$ 5.5万 - 项目类别:
Standard Grant
Collaborative Research: BeeHive: A Cross-Problem Benchmarking Framework for Network Biology
合作研究:BeeHive:网络生物学的跨问题基准框架
- 批准号:
2233969 - 财政年份:2023
- 资助金额:
$ 5.5万 - 项目类别:
Continuing Grant
FET: Medium: Quantum Algorithms, Complexity, Testing and Benchmarking
FET:中:量子算法、复杂性、测试和基准测试
- 批准号:
2311733 - 财政年份:2023
- 资助金额:
$ 5.5万 - 项目类别:
Continuing Grant
Establishing and benchmarking advanced methods to comprehensively characterize somatic genome variation in single human cells
建立先进方法并对其进行基准测试,以全面表征单个人类细胞的体细胞基因组变异
- 批准号:
10662975 - 财政年份:2023
- 资助金额:
$ 5.5万 - 项目类别:
Collaborative Research: BeeHive: A Cross-Problem Benchmarking Framework for Network Biology
合作研究:BeeHive:网络生物学的跨问题基准框架
- 批准号:
2233968 - 财政年份:2023
- 资助金额:
$ 5.5万 - 项目类别:
Continuing Grant














{{item.name}}会员




