Q
Qinghua Cui
Researcher at Peking University
Publications - 177
Citations - 12431
Qinghua Cui is an academic researcher from Peking University. The author has contributed to research in topics: Gene & microRNA. The author has an hindex of 45, co-authored 163 publications receiving 9565 citations. Previous affiliations of Qinghua Cui include National Research Council & University of Electronic Science and Technology of China.
Papers
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Journal ArticleDOI
Gut microbiota dysbiosis contributes to the development of hypertension.
Jing-Jing Li,Jing-Jing Li,Fangqing Zhao,Yidan Wang,Junru Chen,Jie Tao,Gang Tian,Shouling Wu,Wenbin Liu,Qinghua Cui,Bin Geng,Weili Zhang,Ryan Weldon,Kelda Auguste,Lei Yang,Xiaoyan Liu,Li Chen,Li Chen,Li Chen,Xinchun Yang,Baoli Zhu,Baoli Zhu,Jun Cai +22 more
TL;DR: A novel causal role of aberrant gut microbiota in contributing to the pathogenesis of hypertension is described and the significance of early intervention for pre-hypertension was emphasized.
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HMDD v2.0: a database for experimentally supported human microRNA and disease associations
TL;DR: The Human microRNA Disease Database (HMDD) v2.0 update presented several novel options for users to facilitate exploration of the data in the database, and presented more data that were generated based on concepts derived from the miRNA–disease association data, including disease spectrum width of miRNAs and miRNA spectrumwidth of human diseases.
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An Analysis of Human MicroRNA and Disease Associations
TL;DR: It is uncovered that microRNAs associated with the same disease tend to emerge as predefined microRNA groups, which can not only provide help in understanding the associations between microRNAAs and human diseases but also suggest a new way to identify novel disease-associated micro RNAs.
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LncRNADisease: a database for long-non-coding RNA-associated diseases
Geng Chen,Ziyun Wang,Dongqing Wang,Chengxiang Qiu,Mingxi Liu,Xing-Xing Chen,Q Zhang,Guiying Yan,Qinghua Cui +8 more
TL;DR: The LncRNADisease database is described, which collected and curated approximately 480 entries of experimentally supported lncRNA–disease associations, including 166 diseases, and developed a bioinformatic method to predict novel lnc RNA–dISEase associations.
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Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
TL;DR: A method to infer the pairwise functional similarity and functional network for human miRNAs based on the structures of their disease relationships and can be easily extended to other species when sufficient miRNA-associated disease data are available for specific species.