TMECircDB

To address this, we performed total RNA sequencing (RNA-seq) on 30 matched normal, primary and metastatic samples from 14 mCRC patients. Additionally, five CRC cell lines were sequenced to construct a circRNA catalog in CRC. We detected 47 869 circRNAs, with 51% previously unannotated in CRC and 14% novel candidates when compared to existing circRNA databases. We identified 362 circRNAs differentially expressed in primary and/or metastatic tissues, termed circular RNAs associated with metastasis (CRAMS). We performed cell-type deconvolution using published single-cell RNA-seq datasets and applied a non-negative least squares statistical model to estimate cell-type specific circRNA expression. This predicted 667 circRNAs as exclusively expressed in a single cell type.为解决这一问题，我们对14名转移性结直肠癌（metastatic colorectal cancer, mCRC）患者的30例配对正常、原发及转移组织样本开展了总RNA测序（RNA-seq）。此外，我们还对5株结直肠癌（colorectal cancer, CRC）细胞系进行测序，以构建结直肠癌环状RNA（circular RNA, circRNA）目录。本研究共检测到47869个环状RNA，其中51%此前在结直肠癌中未被注释，与现有环状RNA数据库相比有14%为全新候选分子。我们鉴定出362个在原发和/或转移组织中差异表达的环状RNA，将其命名为转移相关环状RNA（CRAMS）。我们利用已发表的单细胞RNA测序（single-cell RNA-seq）数据集开展细胞类型解卷积分析，并应用非负最小二乘统计模型估算细胞类型特异性环状RNA表达水平，最终预测得到667个仅在单一细胞类型中表达的环状RNA。

搜集汇总

背景与挑战

背景概述

TMECircDB是一个基于单细胞RNA测序数据和转移性结直肠癌患者队列构建的资源库，用于模拟环状RNA在肿瘤微环境中的细胞类型特异性表达。该数据库包含11,682个预测具有显著细胞类型特异性表达的环状RNA，其中667个为单细胞类型专属表达，361个在癌症转移过程中失调。