Tech Core 2
技术核心2
基本信息
- 批准号:10532385
- 负责人:
- 金额:$ 54.57万
- 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:2021-12-01 至 2026-11-30
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAlgorithmsAnatomyAreaAtlasesBar CodesBlood VesselsCellsCellular biologyClinicalDataDevelopmentExtracellular MatrixGenesGoalsHeterogeneityHistologyHumanImageInvadedMalignant NeoplasmsMalignant neoplasm of pancreasMammary NeoplasmsMapsMeasuresMessenger RNAMethodsMicroanatomyMicrofluidicsMolecularNeoplasm MetastasisOutcomePlayProcessProteinsResolutionRoleSemanticsSiteSubcellular AnatomyTechnologyTherapeutic InterventionThree-Dimensional ImagingTimeTissue SampleTissue imagingTissuesTrainingTumor TissueTumor Vascular InvasionVenousanticancer researchcancer cellcancer imagingcancer riskcostdeep learningdesigngenome-widehistological specimensimage registrationlymphatic Invasionmalignant breast neoplasmmetermultiple omicsneoplastic cellnew technologynovelpancreatic neoplasmprotein biomarkerstargeted treatmenttechnology developmenttechnology platformtechnology validationtissue fixingtissue mappingtranscriptometumortumor heterogeneitytumor progression
项目摘要
Project Summary – Tech Core 2
Spatial tumor heterogeneity plays a critical role in multiple stages of cancer progression and metastasis including
the venous invasion that contributes to increased risk of cancer cell dissemination. This process involves spatially
distinct interaction between cancer cells and the surrounding microenvironment at multiple sites. In Tech1, PI
Wirtz will develop a new 3D multiscale tumor cell mapping method, CODA, which can create a 3D large-scale
tumor cell anatomy at single cell level via tissue histology image integration and trained deep-learning semantic
algorithms. What is highly desired to further add to this 3D tumor cell anatomic atlas is genome-wide molecular
information such as mRNAs and a large panel of proteins for unbiased discovery of cell subtype, state, and
interaction, and potentially to infer new mechanisms or targets for therapeutic intervention. TECH2 PI Fan
recently developed a novel technology called DBiT-seq for high-spatial-resolution multi-omics mapping via
deterministic barcoding in tissue at cellular level (~10µm), whole transcriptome scale (>22,000 genes), high
coverage (>2,000 genes per 10µm pixel), and multi-omics profiling (co-mapping of ~300 protein markers), which
can be readily applied to FFPE tissue sections and integrated with CODA. In Tech2, we propose the following
two aims: AIM 1. A high-throughput, low cost, high quality/coverage, multi-omic mapping method (DBiT-seq) with
full compatibility with human PFA and FFPE tissue samples. AIM 2. Integrating CODA and DBiT-seq for 3D
multi-omic tumor imaging. Successful completion of these two aims will lead to the first genome-wide multi-
omics 3D view of vascular or lymphovascular invasion of human tumors and a powerful technology platform for
the consortium to investigate spatial tissue heterogeneity in other human cancers.
项目摘要-技术核心2
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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Denis Wirtz其他文献
Denis Wirtz的其他文献
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{{ truncateString('Denis Wirtz', 18)}}的其他基金
3D Whole-Pancreas Analysis of Mouse Models of Pancreatic Cancer
胰腺癌小鼠模型的 3D 全胰腺分析
- 批准号:
10830513 - 财政年份:2021
- 资助金额:
$ 54.57万 - 项目类别:
Validation of Nuclear Morphology as a Biomarker of Aging and Aging-Related Phenotypes
核形态作为衰老和衰老相关表型生物标志物的验证
- 批准号:
10424439 - 财政年份:2018
- 资助金额:
$ 54.57万 - 项目类别:
Validation of Nuclear Morphology as a Biomarker of Aging and Aging-Related Phenotypes
核形态作为衰老和衰老相关表型生物标志物的验证
- 批准号:
10199917 - 财政年份:2018
- 资助金额:
$ 54.57万 - 项目类别:
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