Literature DB >> 28529078

HCSGD: An integrated database of human cellular senescence genes.

Qiongye Dong1, Hongqing Han1, Xuehui Liu1, Lei Wei1, Wei Zhang1, Zhen Zhao1, Michael Q Zhang2, Xiaowo Wang3.   

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.
Copyright © 2017 Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cellular senescence; Meta-analysis; Text-mining

Mesh:

Year:  2017        PMID: 28529078     DOI: 10.1016/j.jgg.2017.04.001

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  5 in total

1.  Human Ageing Genomic Resources: new and updated databases.

Authors:  Robi Tacutu; Daniel Thornton; Emily Johnson; Arie Budovsky; Diogo Barardo; Thomas Craig; Eugene Diana; Gilad Lehmann; Dmitri Toren; Jingwei Wang; Vadim E Fraifeld; João P de Magalhães
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

2.  A large-scale CRISPR screen and identification of essential genes in cellular senescence bypass.

Authors:  Xuehui Liu; Lei Wei; Qiongye Dong; Liyang Liu; Michael Q Zhang; Zhen Xie; Xiaowo Wang
Journal:  Aging (Albany NY)       Date:  2019-06-20       Impact factor: 5.682

3.  TRPC3 shapes the ER-mitochondria Ca2+ transfer characterizing tumour-promoting senescence.

Authors:  Valerio Farfariello; Dmitri V Gordienko; Lina Mesilmany; Yasmine Touil; Emmanuelle Germain; Ingrid Fliniaux; Emilie Desruelles; Dimitra Gkika; Morad Roudbaraki; George Shapovalov; Lucile Noyer; Mathilde Lebas; Laurent Allart; Nathalie Zienthal-Gelus; Oksana Iamshanova; Franck Bonardi; Martin Figeac; William Laine; Jerome Kluza; Philippe Marchetti; Bruno Quesnel; Daniel Metzger; David Bernard; Jan B Parys; Loïc Lemonnier; Natalia Prevarskaya
Journal:  Nat Commun       Date:  2022-02-17       Impact factor: 17.694

4.  Subtype Classification and Prognosis Signature Construction of Osteosarcoma Based on Cellular Senescence-Related Genes.

Authors:  Hanyu Wang; Hongliang Liu; Li Wang; Shuchai Xu; Honglin Pi; Zhian Cheng
Journal:  J Oncol       Date:  2022-09-05       Impact factor: 4.501

5.  Nitric oxide contributes to protein homeostasis by S-nitrosylations of the chaperone HSPA8 and the ubiquitin ligase UBE2D.

Authors:  Lucie Valek; Juliana Heidler; Reynir Scheving; Ilka Wittig; Irmgard Tegeder
Journal:  Redox Biol       Date:  2018-10-16       Impact factor: 11.799

  5 in total

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