Kidney single cell and spatial molecular atlas project - KIDSSMAP

$EVWUDFW & RUH KIDney单细胞和空间分子图谱项目（KIDSSMAP）旨在产生广泛的 人体肾脏空间分辨三维图谱。这涉及到生成高分辨率数据， 分子部分的类别：从RNA和染色质可及性到蛋白质、脂质和代谢物。这些 分子方面将通过一套不同的实验技术进行评估，应用于3D组织块， 2D切片或解离的细胞悬液。KIDney数据分析核心（KIDDAC）的核心目标是 将这些数据整合到不同的尺度、分子模式和不同的个体 特征（性别、年龄、种族）。这将在细胞和显微解剖结构的水平上进行 注释。KIDDAC还将协调个人的统一预处理和质量控制（QC） 方式。最后，产生全面的组织图谱还需要有效的计算能力。 用于跟踪单个样本、执行主要分析管道以及自动化的基础设施 提交数据并与HIVE/HuBMAP联盟和更广泛的科学界共享数据。的 由此产生的图谱将阐明肾脏复杂显微解剖组织的基本原理， 将提供急需的综合基线，用于表征细胞或组织的异常状态， 可能会在疾病期间出现。

$EVWUDFW &RUH The KIDney Single cell and Spatial Molecular Atlas Project (KIDSSMAP) aims to generate an extensive spatially resolved 3D atlas of human kidney. This involves generation of high-resolution data capturing different classes of molecular moieties: from RNA and chromatin accessibility, to proteins, lipids and metabolites. These molecular facets will be assessed by a suite of different experimental techniques, applied to 3D tissue blocks, 2D sections, or dissociated cell suspensions. The central goal of the KIDney Data Analysis Core (KIDDAC) will be to integrate these data across different scales, molecular modalities, and a diverse set of individual characteristics (sex, age, race). This will be done on both the level of cellular and microanatomical structure annotation. KIDDAC will also coordinate uniform pre-processing and quality control (QC) of the individual modalities. Finally, production of a comprehensive tissue atlas will also require effective computational infrastructure for tracking of individual samples, execution of primary analysis pipelines, as well as automated submission and sharing of data with the HIVE/HuBMAP consortium and wider scientific community. The resulting atlas will illuminate principles underlying the complex microanatomical organization of the kidney and will provide a much-needed integrated baseline for characterizing aberrant states of the cells or tissue that might arise during disease.