Core 2: Stanford Breast Metastasis Center Organoid Core
核心 2:斯坦福乳腺转移中心类器官核心
基本信息
- 批准号:10704695
- 负责人:
- 金额:$ 18.94万
- 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:2021-09-14 至 2026-08-31
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAddressAirBreastBreast Cancer ModelBreast Cancer PatientBreast cancer metastasisCRISPR interferenceCRISPR-mediated transcriptional activationCRISPR/Cas technologyCancer BiologyCancer RelapseCarcinomaCell CommunicationCell LineCellsCharacteristicsClinicalClinical PathologyClustered Regularly Interspaced Short Palindromic RepeatsCollaborationsCommunicationConsentCryopreservationDevelopmentDiseaseDrug ModelingsDrug TargetingDrug resistanceEpithelial CellsEpitheliumExperimental ModelsFeedbackGenesGeneticGenetic EngineeringGenomicsGoalsHeterogeneityHistologicHistologyHumanImmuneImmune EvasionImmunological ModelsImpairmentInformation DisseminationLiquid substanceMacrophageMalignant Epithelial CellMalignant NeoplasmsMediatingMetastatic breast cancerMethodsModelingMusMycoplasmaNeoplasm MetastasisOccupational activity of managing financesOrganoidsPathologyPatientsPatternPhagocytosisPharmaceutical PreparationsPhysiologicalPopulationPositioning AttributePrimary NeoplasmProductionPropertyProteomicsProtocols documentationQualifyingQuality ControlResearchResearch PersonnelResourcesServicesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStandardizationStudy modelsSystemTechnologyTestingTissuesTumor TissueWorkanticancer researchbiobankbreast cancer genomicscancer subtypescell typedigitalfunctional genomicsgenome sequencingglycosylationin vitro Modelmalignant breast neoplasmmammarymolecular subtypesnano-stringnext generationnovelpatient derived xenograft modelreconstitutionresponsesingle-cell RNA sequencingsynergismtherapeutic targettherapy resistanttooltranscriptometumortumor microenvironmenttumor-immune system interactionswhole genome
项目摘要
Abstract/Project Summary
Breast cancer research is substantially hampered by lack of experimental models that efficiently reflect
physiological disease necessary to provide a comprehensive understanding of metastatic disease. Conventional
cell lines and PDX models have contributed greatly to our understanding of breast cancer biology, but are
inefficiently derived, do not fully capture the heterogeneity across breast cancer subtypes and rarely mimic
clinical observations. Advancements in 3D organoid models from our lab and others have shown that patient-
derived organoids (PDOs) can be generated efficiently, retain histologic and genetic features of originating tumor,
closely mimic patient drug response and are amendable to scale for genomic functional screens. Recently, the
Kuo lab developed next generation PDOs by developing an Air-Liquid Interface (ALI) culture system that enables
culture of tumor epithelium en bloc with endogenous immune stroma (Cell, 2018). The advent of ALI organoid
culture provides critical experimental models for studying the tumor microenvironment. Here, the Organoid Core
provides essential patient derived organoid models for identifying the evolutionary dynamics and
microenvironmental determinants of metastatic breast cancer for Stanford Breast Metastasis Center
investigators.
Co-led by breast cancer genomics expert Dr. Christina Curtis and organoid pioneer Dr. Calvin Kuo,
the Stanford Breast Metastasis Center Organoid Core is uniquely positioned and qualified to address the
unmet needs highlighted in this RFA: Metastasis Research Network, by providing novel experimental models to
study metastatic dissemination patterns, cellular microenvironment crosstalk, and drug response. Here, the
organoid core will provide patient-derived breast cancer submerged organoids from primary and metastatic
tissue to study targeted drug resistance and to define specific metastatic patterns of breast cancer sub-clones
in Project 1, along with genomic functional screens using CRISPR/CAS9 and macrophage-mediated
phagocytosis in Project 3. Novel human breast cancer ALI organoid models will be extensively characterized
as compared to originating tissue in collaboration with Projects 1 and 2. Further, ALI culture conditions will be
optimized for functional tumor-immune crosstalk studies with Project 3. Upon successful completion, novel
organoid models will provide critical experimental tools for defining metastatic driver genes and identifying
therapeutic targets to overcome drug resistance and immune evasion.
摘要/项目摘要
由于缺乏有效反映的实验模型,乳腺癌研究受到了极大的阻碍
对转移性疾病的全面理解所需的生理疾病。传统的
细胞系和PDX模型为我们对乳腺癌生物学的理解做出了巨大贡献,但是
效率低下,请勿完全捕获乳腺癌亚型的异质性,并且很少模仿
临床观察。我们实验室和其他人的3D器官模型的进步表明,患者 -
衍生的类器官(PDOS)可以有效地产生,保留起源肿瘤的组织学和遗传特征,
紧密模仿患者药物反应,并且可以对基因组功能筛查的规模进行修正。最近,
Kuo Lab通过开发一个可以实现的空气界面(ALI)培养系统开发了下一代PDO
内源性免疫基质的肿瘤上皮培养(Cell,2018)。 Ali Ordanoid的出现
培养提供了研究肿瘤微环境的关键实验模型。在这里,类器官核心
提供必要的患者衍生的器官模型,以识别进化动力学和
斯坦福乳房转移中心转移性乳腺癌的微环境决定因素
调查人员。
由乳腺癌基因组学专家克里斯蒂娜·柯蒂斯(Christina Curtis)博士和Organoid Pioneer博士共同领导,Calvin Kuo博士,
斯坦福大学乳房转移中心类核心核心的位置独特,有资格解决
在此RFA:转移研究网络中未满足的需求,通过提供新颖的实验模型
研究转移性传播模式,细胞微环境串扰和药物反应。在这里,
Organoid Core将提供来自原发性和转移性的患者衍生的乳腺癌淹没器官
组织以研究靶向耐药性并定义乳腺癌亚基的特定转移模式
在项目1中,以及使用CRISPR/CAS9和巨噬细胞介导的基因组功能屏幕
项目3中的吞噬作用。新型的人类乳腺癌ALI器官模型将被广泛表征
与与项目1和2合作的起源组织相比。此外,Ali培养条件将是
通过项目3进行了针对功能性肿瘤 - 免疫串扰研究的优化。成功完成后,新颖
器官模型将提供关键的实验工具来定义转移驱动基因并识别
克服耐药性和免疫逃避的治疗靶标。
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 }}
CALVIN J KUO其他文献
CALVIN J KUO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('CALVIN J KUO', 18)}}的其他基金
Intestinal organoid modeling of SARS-CoV-2-stimulated innate and adaptive immunity
SARS-CoV-2 刺激的先天性和适应性免疫的肠道类器官模型
- 批准号:
10319858 - 财政年份:2021
- 资助金额:
$ 18.94万 - 项目类别:
Core 2: Stanford Breast Metastasis Center Organoid Core
核心 2:斯坦福乳腺转移中心类器官核心
- 批准号:
10272393 - 财政年份:2021
- 资助金额:
$ 18.94万 - 项目类别:
Immunotherapy Modeling in Organoids Co-preserving Tumor and Infiltrating Immune Compartments
共保存肿瘤和浸润免疫区室的类器官的免疫治疗模型
- 批准号:
10212018 - 财政年份:2021
- 资助金额:
$ 18.94万 - 项目类别:
Intestinal organoid modeling of SARS-CoV-2-stimulated innate and adaptive immunity
SARS-CoV-2 刺激的先天性和适应性免疫的肠道类器官模型
- 批准号:
10654752 - 财政年份:2021
- 资助金额:
$ 18.94万 - 项目类别:
Immunotherapy Modeling in Organoids Co-preserving Tumor and Infiltrating Immune Compartments
共保存肿瘤和浸润免疫区室的类器官的免疫治疗模型
- 批准号:
10374163 - 财政年份:2021
- 资助金额:
$ 18.94万 - 项目类别:
Immunotherapy Modeling in Organoids Co-preserving Tumor and Infiltrating Immune Compartments
共保存肿瘤和浸润免疫区室的类器官的免疫治疗模型
- 批准号:
10586140 - 财政年份:2021
- 资助金额:
$ 18.94万 - 项目类别:
Intestinal organoid modeling of SARS-CoV-2-stimulated innate and adaptive immunity
SARS-CoV-2 刺激的先天性和适应性免疫的肠道类器官模型
- 批准号:
10450851 - 财政年份:2021
- 资助金额:
$ 18.94万 - 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
The contribution of air pollution to racial and ethnic disparities in Alzheimer’s disease and related dementias: An application of causal inference methods
空气污染对阿尔茨海默病和相关痴呆症的种族和民族差异的影响:因果推理方法的应用
- 批准号:
10642607 - 财政年份:2023
- 资助金额:
$ 18.94万 - 项目类别:
Early Life Determinants of Child Health: A New Denver-Based Cohort
儿童健康的早期决定因素:丹佛的一个新队列
- 批准号:
10745631 - 财政年份:2023
- 资助金额:
$ 18.94万 - 项目类别:
Extending Reach, Accuracy, and Therapeutic Capabilities: A Soft Robot for Peripheral Early-Stage Lung Cancer
扩大范围、准确性和治疗能力:用于周围早期肺癌的软机器人
- 批准号:
10637462 - 财政年份:2023
- 资助金额:
$ 18.94万 - 项目类别:
Mitigation of ventilation-based resuspension and spread of airborne viruses in nosocomial and healthcare settings
减轻医院和医疗机构中基于通气的空气传播病毒的再悬浮和传播
- 批准号:
10668064 - 财政年份:2023
- 资助金额:
$ 18.94万 - 项目类别:
An acquisition and analysis pipeline for integrating MRI and neuropathology in TBI-related dementia and VCID
用于将 MRI 和神经病理学整合到 TBI 相关痴呆和 VCID 中的采集和分析流程
- 批准号:
10810913 - 财政年份:2023
- 资助金额:
$ 18.94万 - 项目类别: