Dataset Information

LnCeCell: a comprehensive database of predicted lncRNA-associated ceRNA networks at single-cell resolution.

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.

SUBMITTER: Wang P

PROVIDER: S-EPMC7778920 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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LnCeCell: a comprehensive database of predicted lncRNA-associated ceRNA networks at single-cell resolution.

Wang Peng P Guo Qiuyan Q Hao Yangyang Y Liu Qian Q Gao Yue Y Zhi Hui H Li Xin X Shang Shipeng S Guo Shuang S Zhang Yunpeng Y Ning Shangwei S Li Xia X

Nucleic acids research 20210101 D1

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 ...[more]

PMID: 33219686

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Dataset Information

LnCeCell: a comprehensive database of predicted lncRNA-associated ceRNA networks at single-cell resolution.

Publications

LnCeCell: a comprehensive database of predicted lncRNA-associated ceRNA networks at single-cell resolution.

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