Abstract

Within the tumour microenvironment, cells exhibit different behaviours driven by fine-tuning of gene regulation. Identification of cellular-specific gene regulatory networks will deepen the understanding of disease pathology at single-cell resolution and contribute to the development of precision medicine. Here, we describe a database, LnCeCell (http://www.bio-bigdata.net/LnCeCell/ or http://bio-bigdata.hrbmu.edu.cn/LnCeCell/), which aims to document cellular-specific long non-coding RNA (lncRNA)-associated competing endogenous RNA (ceRNA) networks for personalised characterisation of diseases based on the ‘One Cell, One World’ theory. LnCeCell is curated with cellular-specific ceRNA regulations from >94 000 cells across 25 types of cancers and provides >9000 experimentally supported lncRNA biomarkers, associated with tumour metastasis, recurrence, prognosis, circulation, drug resistance, etc. For each cell, LnCeCell illustrates a global map of ceRNA sub-cellular locations, which have been manually curated from the literature and related data sources, and portrays a functional state atlas for a single cancer cell. LnCeCell also provides several flexible tools to infer ceRNA functions based on a specific cellular background. LnCeCell serves as an important resource for investigating the gene regulatory networks within a single cell and can help researchers understand the regulatory mechanisms underlying complex microbial ecosystems and individual phenotypes.

中文翻译：

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LnCeCell：以单细胞分辨率预测的与lncRNA相关的ceRNA网络的综合数据库

摘要

在肿瘤微环境中，细胞表现出不同的行为，这些行为是由基因调节的微调驱动的。鉴定细胞特异性基因调控网络将加深对单细胞分辨率的疾病病理学的了解，并有助于发展精密医学。在这里，我们描述了一个数据库LnCeCell（http://www.bio-bigdata.net/LnCeCell/或http://bio-bigdata.hrbmu.edu.cn/LnCeCell/），旨在记录特定于细胞的长与非编码RNA（lncRNA）相关的竞争性内源RNA（ceRNA）网络，基于“一个细胞，一个世界”的理论对疾病进行个性化表征。LnCeCell采用了细胞特异的ceRNA法规来管理，涉及25种类型的癌症中的超过9.4万个细胞，并提供了9000多种实验支持的lncRNA生物标志物，与肿瘤转移相关，复发，预后，循环，抗药性等。对于每个细胞，LnCeCell展示了ceRNA亚细胞位置的全球图，这些图已从文献和相关数据源中手动整理，并描绘了单个癌症的功能状态图集细胞。LnCeCell还提供了几种灵活的工具，可根据特定的细胞背景推断ceRNA功能。LnCeCell是研究单个细胞内基因调控网络的重要资源，可以帮助研究人员了解复杂微生物生态系统和个体表型的调控机制。并描绘了单个癌细胞的功能状态图集。LnCeCell还提供了几种灵活的工具，可根据特定的细胞背景推断ceRNA功能。LnCeCell是研究单个细胞内基因调控网络的重要资源，可以帮助研究人员了解复杂微生物生态系统和个体表型的调控机制。并描绘了单个癌细胞的功能状态图集。LnCeCell还提供了几种灵活的工具，可根据特定的细胞背景推断ceRNA功能。LnCeCell是研究单个细胞内基因调控网络的重要资源，可以帮助研究人员了解复杂微生物生态系统和个体表型的调控机制。