人类发育时空多组学数据分析

本系统提供多组学整合分析解决方案，通过整合基因组、转录组、表观组及空间组学数据，支持时间序列基因表达动态追踪、空间异质性解析、细胞谱系重构，以及三维基因组动态重排对细胞分化的调控机制解析，构建代谢-表观遗传-转录协同调控网络模型，为出生缺陷机制解析、类器官模型优化及再生医学研究策略开发提供跨尺度数据支持，助力发育生物学基础研究与再生医学临床转化。

This system provides multi-omics integrative analysis solutions. By integrating genomic, transcriptomic, epigenomic, and spatial omics data, it supports dynamic tracking of time-series gene expression, spatial heterogeneity analysis, cell lineage reconstruction, and investigation of the regulatory mechanisms through which dynamic 3D genome rearrangements govern cell differentiation. It constructs metabolic-epigenetic-transcriptional co-regulatory network models, offering cross-scale data support for elucidating the mechanisms of birth defects, optimizing organoid models, and developing research strategies for regenerative medicine, thereby facilitating basic research in developmental biology and clinical translation of regenerative medicine.

搜集汇总

背景与挑战

背景概述

该数据集是一个多组学整合分析解决方案，整合了基因组、转录组、表观组及空间组学数据，支持时间序列基因表达动态追踪、空间异质性解析等功能。主要应用于发育生物学基础研究与再生医学临床转化，覆盖全国范围，更新频率为每年一次，数据存储大小为780 MB。