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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 \u2018One Cell, One World\u2019 theory. LnCeCell is curated with cellular-specific ceRNA regulations from &amp;gt;94 000 cells across 25 types of cancers and provides &amp;gt;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.<\/jats:p>","DOI":"10.1093\/nar\/gkaa1017","type":"journal-article","created":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T12:29:06Z","timestamp":1604924946000},"page":"D125-D133","source":"Crossref","is-referenced-by-count":59,"title":["LnCeCell: a comprehensive database of predicted lncRNA-associated ceRNA networks at single-cell resolution"],"prefix":"10.1093","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5716-9937","authenticated-orcid":false,"given":"Peng","family":"Wang","sequence":"first","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]},{"given":"Qiuyan","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Gynecology, the First Affiliated Hospital of Harbin Medical University, Harbin 150081, China"}]},{"given":"Yangyang","family":"Hao","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]},{"given":"Qian","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]},{"given":"Yue","family":"Gao","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]},{"given":"Hui","family":"Zhi","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]},{"given":"Xin","family":"Li","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]},{"given":"Shipeng","family":"Shang","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]},{"given":"Shuang","family":"Guo","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]},{"given":"Yunpeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4079-8945","authenticated-orcid":false,"given":"Shangwei","family":"Ning","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9794-2648","authenticated-orcid":false,"given":"Xia","family":"Li","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China"}]}],"member":"286","published-online":{"date-parts":[[2020,11,21]]},"reference":[{"key":"2021010313115117600_B1","doi-asserted-by":"crossref","first-page":"1396","DOI":"10.1126\/science.1254257","article-title":"Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma","volume":"344","author":"Patel","year":"2014","journal-title":"Science"},{"key":"2021010313115117600_B2","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1038\/ng.3818","article-title":"Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors","volume":"49","author":"Li","year":"2017","journal-title":"Nat. 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(Paris)"}],"container-title":["Nucleic Acids Research"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/nar\/article-pdf\/49\/D1\/D125\/35364213\/gkaa1017.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/academic.oup.com\/nar\/article-pdf\/49\/D1\/D125\/35364213\/gkaa1017.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T18:13:56Z","timestamp":1609697636000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/nar\/article\/49\/D1\/D125\/5997438"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,21]]},"references-count":37,"journal-issue":{"issue":"D1","published-online":{"date-parts":[[2020,11,21]]},"published-print":{"date-parts":[[2021,1,8]]}},"URL":"https:\/\/doi.org\/10.1093\/nar\/gkaa1017","relation":{},"ISSN":["0305-1048","1362-4962"],"issn-type":[{"value":"0305-1048","type":"print"},{"value":"1362-4962","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2021,1,8]]},"published":{"date-parts":[[2020,11,21]]}}}