Label-Free Cell-Resolved Metabolomics for Tumor Microscopy
用于肿瘤显微镜检查的无标记细胞解析代谢组学
基本信息
- 批准号:10359777
- 负责人:
- 金额:$ 13.83万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-03-13 至 2023-02-28
- 项目状态:已结题
- 来源:
- 关键词:AddressBiologicalBiologyBiopsyCellsClinicalComplexDiagnosisDiagnosticDiseaseDisease stratificationEnvironmentEquilibriumEscherichia coliEukaryotic CellExcisionFruitGeneticGrowthHeterogeneityHumanImageImmuneIn SituLabelLesionLipidsMalignant NeoplasmsMapsMass Spectrum AnalysisMeasuresMetabolicMetabolismMethodsMicroscopeMicroscopicMicroscopyModelingModificationMolecularMolecular ProfilingMusMuscle FibersOutcomePatient-Focused OutcomesPhasePhenotypePlayPrognosisProkaryotic CellsProstatic NeoplasmsRaman Spectrum AnalysisResearchResearch PersonnelResolutionRoleSamplingSeriesSignal TransductionSolid NeoplasmSolventsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSpeedTechniquesTestingTheoretical modelTherapeuticTimeTissue imagingTissuesTumor-infiltrating immune cellsVisualization softwareWorkXenograft procedureanticancer researchaqueousbasecancer recurrenceclinical applicationdata acquisitiondetection limithigh dimensionalityimaging approachimaging modalityimmune functioninstrumentmetabolic imagingmetabolomicsmicroscopic imagingmultidimensional datanovel diagnosticsnovel therapeuticsprognosticprogramsroutine imagingsmall moleculespectrographsubmicrontherapeutic targettissue mappingtissue/cell culturetooltumortumor heterogeneityvibration
项目摘要
Summary
It is widely held that energy creation and use strategies employed by tumors may provide important diagnostic
and therapeutic opportunities. However, tools to directly and microscopically visualize these strategies do not yet
exist because most of the metabolites cannot be labeled for microscopy. This project uses recently developed
a coherent Raman imaging method that can rapidly obtain molecular vibration signatures of these unlabeled
metabolites, potentially making them visible. If the project is successful, it will yeild a microscope that will allow
cancer researchers and clinicians to, for the first time, visualize metabolic activity in intact tumors, on a cell-by-cell
basis, and should facilitate discovery of new therapies and diagnostics.
Developing such an instrument presents significant challenges. The project will approach these in our first
Aim by developing a detailed theoretical model of our imaging approach, and testing it against a simplified and
well-controlled series of experimental tissue mimics. This dual model approach will allow us to discover the
most effective path to realizing the necessary instrument sensitivity and reliability. In the second Aim we test the
microscope in actual tissues and cell culture that is independently analyzed for content of metabolites measure
by BCARS.
总结
人们普遍认为,肿瘤所采用的能量产生和使用策略可以提供重要的诊断,
和治疗机会。然而,直接和微观可视化这些策略的工具还没有
因为大多数代谢物不能被标记用于显微镜检查。该项目使用最近开发的
相干拉曼成像方法,可以快速获得这些未标记的分子振动特征,
代谢物,可能使它们可见。如果该项目成功,它将产生一个显微镜,
癌症研究人员和临床医生,第一次,可视化代谢活动在完整的肿瘤,对细胞的
这将有助于发现新的治疗和诊断方法。
开发这样一个工具是一项重大挑战。该项目将在我们的第一个
目的是通过开发我们成像方法的详细理论模型,并针对简化的艾德和
一系列控制良好的组织模拟实验这种双模型方法将使我们能够发现
实现必要的仪器灵敏度和可靠性的最有效途径。在第二个目标中,我们测试
在实际组织和细胞培养中使用显微镜,独立分析代谢物含量
在BCARS。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Discriminating cell line specific features of antibiotic-resistant strains of Escherichia coli from Raman spectra via machine learning analysis.
- DOI:10.1002/jbio.202100274
- 发表时间:2022-07
- 期刊:
- 影响因子:2.8
- 作者:Zahn, Jessica;Germond, Arno;Lundgren, Alice Y.;Cicerone, Marcus T.
- 通讯作者:Cicerone, Marcus T.
Low-aberration high-speed-compatible optical delay line.
- DOI:10.1364/ol.397314
- 发表时间:2020-07-01
- 期刊:
- 影响因子:3.6
- 作者:Audier X;Chen WW;Cicerone MT
- 通讯作者:Cicerone MT
Toward Gene-Correlated Spatially Resolved Metabolomics with Fingerprint Coherent Raman Imaging.
- DOI:10.1021/acs.jpcb.3c01446
- 发表时间:2023-06-29
- 期刊:
- 影响因子:3.3
- 作者:Poorna, Rajas;Chen, Wei-Wen;Qiu, Peng;Cicerone, Marcus T.
- 通讯作者:Cicerone, Marcus T.
{{
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 }}
Marcus T Cicerone其他文献
Marcus T Cicerone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('Marcus T Cicerone', 18)}}的其他基金
相似海外基金
Elucidating the molecular basis and expanding the biological applications of the glycosyltransferases using biochemical and structural biology approaches
利用生化和结构生物学方法阐明糖基转移酶的分子基础并扩展其生物学应用
- 批准号:
23K14138 - 财政年份:2023
- 资助金额:
$ 13.83万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Upsampling of low-resolution/large-volume 3D tomographic images using generative adversarial neural networks applied to biological anthropology, medical imaging, and evolutionary biology
使用应用于生物人类学、医学成像和进化生物学的生成对抗神经网络对低分辨率/大容量 3D 断层扫描图像进行上采样
- 批准号:
571519-2021 - 财政年份:2022
- 资助金额:
$ 13.83万 - 项目类别:
Alliance Grants
The biology of Ciceribacter spp. and their adaptations as biological chassis for engineered nitrogen fixation
西塞里杆菌属的生物学。
- 批准号:
2735213 - 财政年份:2022
- 资助金额:
$ 13.83万 - 项目类别:
Studentship
NSF Postdoctoral Fellowship in Biology: Symbiosis as a Means of Survival for Biological Soil Crust Microbes
NSF 生物学博士后奖学金:共生作为生物土壤结皮微生物的生存手段
- 批准号:
2209217 - 财政年份:2022
- 资助金额:
$ 13.83万 - 项目类别:
Fellowship Award
Conference: 2023 Stochastic Physics in Biology: Bridging Stochastic Physical Theories with Biological Experiments
会议:2023 年生物学中的随机物理学:将随机物理理论与生物实验联系起来
- 批准号:
2242530 - 财政年份:2022
- 资助金额:
$ 13.83万 - 项目类别:
Standard Grant
From Big Biological Data to Tangible Insights: Designing tangible and multi-display interactions to support data analysis and model building in the biology domain
从生物大数据到有形洞察:设计有形和多显示交互以支持生物学领域的数据分析和模型构建
- 批准号:
RGPIN-2021-03987 - 财政年份:2022
- 资助金额:
$ 13.83万 - 项目类别:
Discovery Grants Program - Individual
Engineering of next-generation synthetic biology tools for biological applications
用于生物应用的下一代合成生物学工具的工程
- 批准号:
RGPIN-2019-07002 - 财政年份:2022
- 资助金额:
$ 13.83万 - 项目类别:
Discovery Grants Program - Individual
BEORHN: Biological Enzymatic Oxidation of Reactive Hydroxylamine in Nitrification via Combined Structural Biology and Molecular Simulation
BEORHN:通过结合结构生物学和分子模拟对硝化反应中的活性羟胺进行生物酶氧化
- 批准号:
BB/V01577X/1 - 财政年份:2022
- 资助金额:
$ 13.83万 - 项目类别:
Research Grant
NSF Postdoctoral Fellowship in Biology FY 2020: Integrating biological collections and observational data sources to estimate long-term butterfly population trends
2020 财年 NSF 生物学博士后奖学金:整合生物收藏和观测数据源来估计蝴蝶种群的长期趋势
- 批准号:
2010698 - 财政年份:2021
- 资助金额:
$ 13.83万 - 项目类别:
Fellowship Award
Engineering of next-generation synthetic biology tools for biological applications
用于生物应用的下一代合成生物学工具的工程
- 批准号:
RGPIN-2019-07002 - 财政年份:2021
- 资助金额:
$ 13.83万 - 项目类别:
Discovery Grants Program - Individual














{{item.name}}会员




