4.8 Article

Lnc2Cancer v2.0: updated database of experimentally supported long non-coding RNAs in human cancers

期刊

NUCLEIC ACIDS RESEARCH
卷 47, 期 D1, 页码 D1028-D1033

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gky1096

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资金

  1. National Program on Key Basic Research Project [973 Program] [2014CB910504]
  2. National Natural Science Foundation of China [61473106, 31501038, 31601080, 61741306, 61803129]
  3. Harbin Special Funds for Innovative Talents of Science and Technology Research Project [2016RAQXJ191, 2017RAGXJ004]
  4. Yu Weihan Outstanding Youth Training Fund of Harbin Medical University
  5. University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province [UNPYSCT-2017071]

向作者/读者索取更多资源

Lnc2Cancer 2.0 (http://www.bio-bigdata.net/lnc2cancer) is an updated database that provides comprehensive experimentally supported associations between lncRNAs and human cancers. In Lnc2Cancer 2.0, we have updated the database with more data and several new features, including (i) exceeding a 4-fold increase over the previous version, recruiting 4989 lncRNA-cancer associations between1614 lncRNAs and 165 cancer subtypes. (ii) newly adding about 800 experimentally supported circulating, drug-resistant and prognostic-related lncRNAs in various cancers. (iii) appending the regulatory mechanism of lncRNA in cancer, including microRNA (miRNA), transcription factor (TF), variant and methylation regulation. (iv) increasing more than 70 high-throughput experiments (microarray and next-generation sequencing) of lncRNAs in cancers. (v) Scoring the associations between lncRNA and cancer to evaluate the correlations. (vi) updating the annotation information of lncRNAs (version 28) and containing more detailed descriptions for lncRNAs and cancers. Moreover, a newly designed, user-friendly interface was also developed to provide a convenient platform for users. In particular, the functions of browsing data by cancer primary organ, biomarker type and regulatory mechanism, advanced search following several features and filtering the data by LncRNA-Cancer score were enhanced. Lnc2Cancer 2.0 will be a useful resource platform for further understanding the associations between lncRNA and human cancer.

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