Imaging nanoscale chromatin folding in early carcinogenesis
早期致癌过程中纳米级染色质折叠的成像
基本信息
- 批准号:10605199
- 负责人:
- 金额:$ 6.75万
- 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:2020-08-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:AdenocarcinomaAffectArchivesBiologicalCellsChIP-seqCharacteristicsChromatinChromatin StructureClinicalClinical ManagementColonoscopyColorectalColorectal AdenomaColorectal CancerColorectal NeoplasmsComputer softwareDNA DamageDNA biosynthesisDataDevelopmentDistalEarly DiagnosisEvaluationEventFluorescenceFluorescence MicroscopyFormalinGene ExpressionGenesGenomeImageImage AnalysisIndolentIntestinesLesionLocationMaintenanceMalignant - descriptorMalignant NeoplasmsMicroscopyMolecularMolecular ProfilingNanoscopyNobel PrizeNormal tissue morphologyOntologyOpticsOutcomeParaffin EmbeddingPathologyPathway interactionsPatient CarePatientsPreparationPrevention strategyPreventiveProtocols documentationRecurrenceReproducibilityResolutionRiskSamplingStructural defectSystemTechniquesTissue EmbeddingTissue Sampleadenomabiological researchcancer diagnosiscancer riskcarcinogenesisclinically significanthigh riskhigh throughput analysisimaging systemimprovedinnovationintestinal tumorigenesislight microscopymolecular imagingmouse modelnanoscaleneoplastic cellnovelpremalignantreconstructionresearch clinical testingrisk predictionrisk stratificationscreeningsuccesssuperresolution imagingsuperresolution microscopytranscriptome sequencingtumortumor growthultra high resolution
项目摘要
PROJECT ABSTRACT
This application is to evaluate the potential of a super-resolution microscopy system to image disrupted
nanoscale chromatin folding as an early event in carcinogenesis and explore its potential to improve cancer
risk stratification. Abnormal chromatin structure is among the most universal characteristics of tumor cells and
has been used for clinical cancer diagnosis for two centuries. However, due to the diffraction-limited resolution
of conventional light microscopy, only microscale structural abnormalities can be observed. As a result, cells
undergoing early stages of malignant transformation often appear normal. Such limitation in image resolution
has compromised our ability to accurately risk-stratify precursor lesions or distinguish aggressive from indolent
forms. Recent advances in super-resolution fluorescence nanoscopy now enable us to image molecular-level
chromatin structure down to a resolution of ~20-30 nm. Our group recently improved the throughput and
robustness in stochastic optical reconstruction microscopy (STORM)-based super-resolution microscopy and
enabled robust imaging of chromatin folding on the most widely used clinical samples. Built upon our
preliminary studies that revealed a significant and gradual disruption of nanoscale chromatin folding in early
carcinogenesis, this project will first further confirm the disrupted chromatin folding that accompanies
carcinogenesis and identify their molecular characteristics and functional consequences. Second, we will
optimize the workflow of super-resolution imaging system, sample preparation and image analysis to enable
efficient and reproducible analysis of nanoscale chromatin folding in clinical tissue samples. We will also
validate our finding of disrupted chromatin folding in patients with various colorectal precursor lesions and
cancer. Third, we will evaluate the potential of imaging nanoscale chromatin folding to in patients with
colorectal adenomatous polyps. This study will establish the scientific basis and underlying molecular profile of
disrupted nanoscale chromatin folding in early carcinogenesis, opening a new avenue for risk stratification,
facilitating the development and evaluation of new preventive strategies.
项目摘要
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)
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Yang Liu其他文献
Formal Verification of Process Layer with Petri nets and Z
使用 Petri 网和 Z 对过程层进行形式化验证
- DOI:
10.4156/aiss.vol5.issue1.9 - 发表时间:
2013-01 - 期刊:
- 影响因子:0
- 作者:
Yang Liu;Jinzhao Wu;Rong Zhao;Hao Yang;Zhiwei Zhang - 通讯作者:
Zhiwei Zhang
An efficient p-ECR move based on maximum likelihood by neighbor joining
基于邻居加入最大似然的高效 p-ECR 移动
- DOI:
- 发表时间:
- 期刊:
- 影响因子:3
- 作者:
Yang Liu;Jian-Fu Li;Mao-Zu Guo, - 通讯作者:
Mao-Zu Guo,
Secure multi-label data classification in cloud by additionally homomorphic encryption
通过额外的同态加密在云中保护多标签数据分类
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Yi Liu Yu Luo;Youwen Zhu;Yang Liu;Xingxin Li - 通讯作者:
Xingxin Li
Requirement Verification of Networked Software Goals with Multi-valued Logic
具有多值逻辑的网络化软件目标的需求验证
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Yang Liu;Jinzhao Wu;Rong Zhao;Zhiwei Zhang;Hao Yang - 通讯作者:
Hao Yang
Yang Liu的其他文献
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{{ truncateString('Yang Liu', 18)}}的其他基金
Spatially resolved multiomics profiling of microbes and their host tissue
微生物及其宿主组织的空间分辨多组学分析
- 批准号:
10713736 - 财政年份:2023
- 资助金额:
$ 6.75万 - 项目类别:
Mapping the Cellular Responses to DNA Double-Strand Breaks Using On-Demand CRISPR technologies and High-resolution Fluorescence Microscopy
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10715720 - 财政年份:2023
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Climate & Health Actionable Research and Translation Center
气候
- 批准号:
10835460 - 财政年份:2023
- 资助金额:
$ 6.75万 - 项目类别:
Climate & Health Actionable Research and Translation Center
气候
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10835461 - 财政年份:2023
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$ 6.75万 - 项目类别:
Super-Resolution Imaging of Higher-Order Heterochromatin Structure for Early Detection of Lung Carcinogenesis
高阶异染色质结构的超分辨率成像用于早期检测肺癌
- 批准号:
10435645 - 财政年份:2022
- 资助金额:
$ 6.75万 - 项目类别:
Imaging nanoscale chromatin folding in early carcinogenesis
早期致癌过程中纳米级染色质折叠的成像
- 批准号:
10398183 - 财政年份:2020
- 资助金额:
$ 6.75万 - 项目类别:
Imaging nanoscale chromatin folding in early carcinogenesis
早期致癌过程中纳米级染色质折叠的成像
- 批准号:
10223251 - 财政年份:2020
- 资助金额:
$ 6.75万 - 项目类别:
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk
基于三维纳米级核结构映射的前体病变分类法用于预测结直肠癌风险
- 批准号:
9756510 - 财政年份:2019
- 资助金额:
$ 6.75万 - 项目类别:
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk
基于三维纳米级核结构映射的前体病变分类法用于预测结直肠癌风险
- 批准号:
10590702 - 财政年份:2019
- 资助金额:
$ 6.75万 - 项目类别:
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk
基于三维纳米级核结构映射的前体病变分类法用于预测结直肠癌风险
- 批准号:
10373010 - 财政年份:2019
- 资助金额:
$ 6.75万 - 项目类别:
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