HCSGD: An integrated database of human cellular senescence genes

Qiongye Dong^{a, b, #},
Hongqing Han^{a, b, #},
Xuehui Liu^{a, b, #},
Lei Wei^{a, b},
Wei Zhang^{a, b},
Zhen Zhao^{a, b},
Michael Q. Zhang^{a, b, c},
Xiaowo Wang^{a, b
, ,}

a.
Ministry of Education Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing 100084, China
b.
Bioinformatics Division, Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China
c.
Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China

More Information

Corresponding author: E-mail address: xwwang@tsinghua.edu.cn (Xiaowo Wang)

These authors contribute equally to this work.

摘要

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Abstract: Cellular senescence is an irreversible cell cycle arrest program in response to various exogenous and endogenous stimuli like telomere dysfunction and DNA damage. It has been widely accepted as an anti-tumor program and is also found closely related to embryo development, tissue repair, organismal aging and age-related degenerative diseases. In the past decades, numerous efforts have been made to uncover the gene regulatory mechanisms of cellular senescence. There is a strong demand to integrate these data from various resources into one open platform. To facilitate researchers on cellular senescence, we have developed Human Cellular Senescence Gene Database (HCSGD) by integrating multiple online published data sources into a comprehensive senescence gene annotation platform (http://bioinfo.au.tsinghua.edu.cn/member/xwwang/HCSGD). Potential Human Cellular Senescence Genes (HCSGS) were collected by combining information from published literatures, gene expression profiling data and Protein-Protein Interaction networks. Additionally, genes are annotated with gene ontology annotation and microRNA/drug/compound target information. HCSGD provides a valuable resource to visualize cellular senescence gene networks, browse annotated functional information, and retrieve senescence-associated genes with a user-friendly web interface.
- Cellular senescence /
- Meta-analysis /
- Text-mining
These authors contribute equally to this work.
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参考文献(40)

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