Implementation of Slide-seq for high-resolution, whole-transcriptome human tissue maps.

实施 Slide-seq 以获得高分辨率、全转录组人体组织图。

• 批准号: 10249988
• 负责人: Evan Z Macosko
• 金额: $ 44.37万
• 依托单位: BROAD INSTITUTE, INC.
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-20 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10249988
• 关键词: Adopted; Architecture; Bar Codes; Biological Assay; Cells; Characteristics; Chemistry; Collection; Colon; Complement; Complex; Computer Analysis; Consent; Data; Data Analyses; Data Collection; Data Set; Dissemination and Implementation; Donor person; Educational workshop; Elements; Ensure; Gene Expression; Generations; Goals; Guidelines; Histology; Human; Human BioMolecular Atlas Program; Human body; In Situ; Infrastructure; Institutes; Intestines; Kidney; Libraries; Liquid substance; Location; Maps; Measurement; Measures; Methods; Microscopy; Modification; Molecular; Molecular Profiling; Normal tissue morphology; Organ; Organ Transplantation; Persons; Production; Protocols documentation; RNA; Reproducibility; Resolution; Sampling; Site Visit; Slide; Small Intestines; Specimen; Structure; Technology; Technology Transfer; Testing; Time; Tissue Donors; Tissue Sample; Tissues; Training; Transcript; Work; cell type; community center; computational pipelines; data quality; experimental study; genomic platform; human tissue; member; new technology; oligo (dT); sample collection; scale up; tool; transcriptome; transcriptome sequencing; transcriptomics

Abstract: Cells are the unit building blocks of tissues and organs, thus, to understand the organization of tissues and organs, it is important to understand where different types of cells reside in the tissue. Here, we implement a newly invented technology called Slide-seq to characterize gene expression relationships in large tissue volumes at 10-micron resolution. First, we will develop tissue quality metrics, and modifications to the Slide- seq protocol, that optimize Slide-seq data quality across a range of tissues that are the focus of the HuBMAP consortium. Next, we will generate large-scale Slide-seq datasets from human colon and kidney, and compare and contrast the resulting data from spatial technologies being deployed by existing HuBMAP TMCs. Finally, we will scale the production of the Slide-seq arrays, and host training workshops, to enable the technology to be successfully adopted across the HuBMAP consortium. Together, we aim to make Slide-seq a routine and valuable measurement tool for the construction of comprehensive molecular maps of human tissues.

文摘: