Intergrated Multi-omics Sequencing Reveals Metabolic Reprograms in the Progression of ccRCC

100 samples from treatment-naive ccRCC patients and 50 matched normal adjacent tissues (NATs) were profiled with whole exon sequencing (WES), whole transcriptome sequencing (WTS), data-independent acquisition (DIA)-based proteome and untargeted metabolome technology to identify the general molecular characteristics of the TJ-RCC cohort. Single-nucleic RNA sequencing, single-nucleic multiome, spatial transcriptome and spatial metabolome were performed on part of these 100 tumors to detail the ITH inside ccRCC.

搜集汇总

背景与挑战

背景概述

该数据集是一个肾透明细胞癌（ccRCC）的多组学测序资源，包含100个患者样本和50个匹配正常组织，采用全外显子、转录组、蛋白质组和代谢组技术进行整合分析。其特点在于不仅提供了全面的分子特征数据，还通过单核测序和空间组学方法深入探究了肿瘤内部异质性，以揭示ccRCC进展中的代谢重编程机制。