Triboelectric Ambient Mass Spectrometry Imaging of Renal Cell Carcinomas

肾细胞癌的摩擦电环境质谱成像

基本信息

批准号：
10707686
负责人：
Facundo Martin Fernandez
金额：
$ 21.51万
依托单位：
GEORGIA INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-20 至 2026-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10707686
关键词：
Ablation Academia Algorithms Appearance Area Benchmarking Biological Biological Markers Bladder Cancer Biology Characteristics Charge Chemicals Clear cell renal cell carcinoma Collaborations Colon Complex Conventional (Clear Cell) Renal Cell Carcinoma Coupled Data Development Devices Diagnosis Diagnostic Disease Early Diagnosis Electrodes Electrospray Ionization Electrostatics Environment Feces Gases Generations Histologic Image Imaging Techniques Imaging technology Industry Inflammatory Response Intervention Ions Irrigation Isomerism Kidney Knowledge Lasers Lipids Liquid Chromatography Lung MRI Scans Malignant Epithelial Cell Malignant Neoplasms Measures Metabolism Microscope Molecular Names Neoplasm Metastasis Noise Ovarian Pathway Analysis Pathway interactions Pattern Performance Pharmaceutical Preparations Phase Physical condensation Physiologic pulse Play Positioning Attribute Principal Investigator Process Proteomics Reaction Renal Cell Carcinoma Renal carcinoma Renal pelvis Reproducibility Research Resolution Role Sampling Signal Transduction Source Specificity Spectrometry, Mass, Electrospray Ionization Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Stream Survival Rate Symptoms Techniques Technology Testing Thinness Time Tissue Sample Tissues Tumor Tissue United States Universities Urine Uterus Vendor Water X-Ray Computed Tomography anticancer research biobank biomarker discovery cancer cell cancer imaging cancer therapy detection limit electric field experimental study imaging approach improved inflammatory marker instrument ion mobility ion source ionization kidney biopsy lipid metabolism lipid structure lipidome lipidomics mass spectrometer mass spectrometric imaging metabolic phenotype metabolome metabolomics nano nano-electrospray oxidized lipid pi bond prevent tandem mass spectrometry tool transcriptomics tumor tumor growth tumor progression urinary voltage

项目摘要

Principal Investigator: FM Fernández – Triboelectric Ambient Mass Spectrometry Imaging of Renal Cell Carcinomas Understanding complex chemical and biological alterations in cancer requires detailed knowledge of the molecular composition of cancer tissues and the changes in these alterations over time, and following interventions. Mass spectrometry imaging (MSI) is the tool of choice for probing thin tissue sections when femto- to attomole sensitivity is required with simultaneous exquisite specificity. In this project it is proposed to develop a proof-of-concept MSI ion source based on a triboelectric nanogenerator (TENG), and benchmark it’s performance against standard MSI techniques such as matrix-assisted laser desorption/ionization (MALDI) and desorption electrospray ionization (DESI) using de-identified clear cell renal carcinoma tissue sections. These are lipid-rich cancer tumors where lipid metabolism plays a major role in disease development. TENG, when coupled to MS, have shown higher sensitivity than standard nanoelectrospray ionization, particularly for difficult to ionize, low polarity lipids and metabolites. TENG can also be used to yield structural information about important molecules such as lipids, by enlarging the TENG electrode area, which allows to carry out controlled gas-phase ion molecule reactions that yield diagnostic fragmentation patterns. Tissue sections to be examined by TENG MSI will be selected from the biobank maintained by Prof. John Petros, a long- standing collaborator at Emory University. The TENG MSI ion source will be coupled to an ion mobility- mass spectrometer to enable distinguishing lipid isobars during imaging experiments, in collaboration with the instrument vendor (Waters). Co-registration of TENG images with MALDI and DESI images will be conducted with algorithms developed with collaborators at Georgia Tech (Kemp). Improvements to the TENG MSI ion source will be achieved using a symbolic regression approach that will enable the simultaneous optimization of several quantitative performance metrics such as spatial resolution, overall sensitivity, the number of detected spectral features, the number of lipid/metabolite chemical classes detected, and the number of oxidized lipids. Overall, this project will develop an MSI technology that will become an invaluable tool for investigating lipid-rich tissues of importance in cancer research.

首席研究员：FMFernández - 肾细胞癌的Triboelectric环境质谱成像了解癌症中复杂的化学和生物学改变需要详细了解癌组织的分子组成以及这些改变的变化时间和以下干预措施。质谱成像（MSI）是探测薄的选择工具当需要简单的独家特异性时，需要进行组织切片。在这个项目中，建议开发基于Triboelectric的概念验证MSI ION来源纳米发育仪（TENG）和基准测试对标准MSI技术的性能，例如基质辅助激光解吸/电离（MALDI）和解吸电喷雾电离（DESI）使用取消识别的透明细胞肾癌组织切片。这些是富含脂肪的癌症的肿瘤脂质代谢在疾病发展中起着重要作用。 Teng耦合到MS时，已显示比标准纳米电喷雾电离更高的灵敏度，特别是对于难以电离，低极性脂质和代谢产物。 Teng也可以用于产生有关重要的结构信息通过增加Teng电极区域，允许进行受控的分子，例如脂质。气相离子分子反应产生诊断碎片的模式。组织切片为 Teng MSI检查的将从约翰·佩特罗斯（John Petros）教授维护的生物库中选择，埃默里大学的常规合作者。 teng msi离子源将耦合到离子迁移率 - 质谱仪可以在成像实验过程中区分脂质等射线，并协作与仪器供应商（水）。 Teng图像与Maldi和Desi图像共同注册将使用与佐治亚理工学院（KEMP）合作者开发的算法进行。改进将使用符号回归方法来实现teng msi ion源简单优化几个定量性能指标，例如空间分辨率，总体敏感性，检测到的光谱特征的数量，脂质/代谢化学的数量检测到的类，以及氧化脂质的数量。总体而言，该项目将开发MSI技术这将成为研究癌症研究中重要性富含脂质的组织的宝贵工具。