Literature DB >> 35562840

SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery.

Jie Wang1, Min Wu2, Xuhui Huang3, Li Wang1, Sophia Zhang4, Hui Liu5, Jie Zheng1,6.   

Abstract

Two genes are synthetic lethal if mutations in both genes result in impaired cell viability, while mutation of either gene does not affect the cell survival. The potential usage of synthetic lethality (SL) in anticancer therapeutics has attracted many researchers to identify synthetic lethal gene pairs. To include newly identified SLs and more related knowledge, we present a new version of the SynLethDB database to facilitate the discovery of clinically relevant SLs. We extended the first version of SynLethDB database significantly by including new SLs identified through Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) screening, a knowledge graph about human SLs, a new web interface, etc. Over 16 000 new SLs and 26 types of other relationships have been added, encompassing relationships among 14 100 genes, 53 cancers, 1898 drugs, etc. Moreover, a brand-new web interface has been developed to include modules such as SL query by disease or compound, SL partner gene set enrichment analysis and knowledge graph browsing through a dynamic graph viewer. The data can be downloaded directly from the website or through the RESTful Application Programming Interfaces (APIs). Database URL:  https://synlethdb.sist.shanghaitech.edu.cn/v2.
© The Author(s) 2022. Published by Oxford University Press.

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Year:  2022        PMID: 35562840      PMCID: PMC9216587          DOI: 10.1093/database/baac030

Source DB:  PubMed          Journal:  Database (Oxford)        ISSN: 1758-0463            Impact factor:   4.462


  47 in total

1.  SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets.

Authors:  Jing Guo; Hui Liu; Jie Zheng
Journal:  Nucleic Acids Res       Date:  2015-10-29       Impact factor: 16.971

2.  DiscoverSL: an R package for multi-omic data driven prediction of synthetic lethality in cancers.

Authors:  Shaoli Das; Xiang Deng; Kevin Camphausen; Uma Shankavaram
Journal:  Bioinformatics       Date:  2019-02-15       Impact factor: 6.937

3.  Genome-wide CRISPR screens reveal a Wnt-FZD5 signaling circuit as a druggable vulnerability of RNF43-mutant pancreatic tumors.

Authors:  Zachary Steinhart; Zvezdan Pavlovic; Megha Chandrashekhar; Traver Hart; Xiaowei Wang; Xiaoyu Zhang; Mélanie Robitaille; Kevin R Brown; Sridevi Jaksani; René Overmeer; Sylvia F Boj; Jarrett Adams; James Pan; Hans Clevers; Sachdev Sidhu; Jason Moffat; Stéphane Angers
Journal:  Nat Med       Date:  2016-11-21       Impact factor: 53.440

Review 4.  Integrating genetic approaches into the discovery of anticancer drugs.

Authors:  L H Hartwell; P Szankasi; C J Roberts; A W Murray; S H Friend
Journal:  Science       Date:  1997-11-07       Impact factor: 47.728

Review 5.  Synthetic lethality and cancer.

Authors:  Nigel J O'Neil; Melanie L Bailey; Philip Hieter
Journal:  Nat Rev Genet       Date:  2017-06-26       Impact factor: 53.242

6.  Combinatorial CRISPR-Cas9 Metabolic Screens Reveal Critical Redox Control Points Dependent on the KEAP1-NRF2 Regulatory Axis.

Authors:  Dongxin Zhao; Mehmet G Badur; Jens Luebeck; Jose H Magaña; Amanda Birmingham; Roman Sasik; Christopher S Ahn; Trey Ideker; Christian M Metallo; Prashant Mali
Journal:  Mol Cell       Date:  2018-02-15       Impact factor: 17.970

7.  Specific killing of BRCA2-deficient tumours with inhibitors of poly(ADP-ribose) polymerase.

Authors:  Helen E Bryant; Niklas Schultz; Huw D Thomas; Kayan M Parker; Dan Flower; Elena Lopez; Suzanne Kyle; Mark Meuth; Nicola J Curtin; Thomas Helleday
Journal:  Nature       Date:  2005-04-14       Impact factor: 69.504

8.  Entrez Gene: gene-centered information at NCBI.

Authors:  Donna Maglott; Jim Ostell; Kim D Pruitt; Tatiana Tatusova
Journal:  Nucleic Acids Res       Date:  2010-11-28       Impact factor: 16.971

9.  Ranking novel cancer driving synthetic lethal gene pairs using TCGA data.

Authors:  Hao Ye; Xiuhua Zhang; Yunqin Chen; Qi Liu; Jia Wei
Journal:  Oncotarget       Date:  2016-08-23

10.  Systematic discovery of mutation-specific synthetic lethals by mining pan-cancer human primary tumor data.

Authors:  Subarna Sinha; Daniel Thomas; Steven Chan; Yang Gao; Diede Brunen; Damoun Torabi; Andreas Reinisch; David Hernandez; Andy Chan; Erinn B Rankin; Rene Bernards; Ravindra Majeti; David L Dill
Journal:  Nat Commun       Date:  2017-05-31       Impact factor: 14.919

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  1 in total

1.  SLOAD: a comprehensive database of cancer-specific synthetic lethal interactions for precision cancer therapy via multi-omics analysis.

Authors:  Li Guo; Yuyang Dou; Daoliang Xia; Zibo Yin; Yangyang Xiang; Lulu Luo; Yuting Zhang; Jun Wang; Tingming Liang
Journal:  Database (Oxford)       Date:  2022-08-27       Impact factor: 4.462

  1 in total

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