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OGEE v3: Online GEne Essentiality database with increased coverage of organisms and human cell lines.
Gurumayum, Sanathoi; Jiang, Puzi; Hao, Xiaowen; Campos, Tulio L; Young, Neil D; Korhonen, Pasi K; Gasser, Robin B; Bork, Peer; Zhao, Xing-Ming; He, Li-Jie; Chen, Wei-Hua.
Affiliation
  • Gurumayum S; Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology (H
  • Jiang P; Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology (H
  • Hao X; Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology (H
  • Campos TL; Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia.
  • Young ND; Instituto Aggeu Magalhães, Fundação Oswaldo Cruz (IAM-Fiocruz), Recife, Pernambuco, Brazil.
  • Korhonen PK; Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia.
  • Gasser RB; Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia.
  • Bork P; Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia.
  • Zhao XM; European molecular biology laboratory (EMBL), Meyerhof Strasse 1, 69117 Heidelberg, Germany.
  • He LJ; Molecular Medicine Partnership Unit, University of Heidelberg and European Molecular Biology Laboratory, 69120 Heidelberg, Germany.
  • Chen WH; Max-Delbrück-Centre for Molecular Medicine, Robert-Rössle-Straße 10, 13125 Berlin, Germany.
Nucleic Acids Res ; 49(D1): D998-D1003, 2021 01 08.
Article in En | MEDLINE | ID: mdl-33084874
ABSTRACT
OGEE is an Online GEne Essentiality database. Gene essentiality is not a static and binary property, rather a context-dependent and evolvable property in all forms of life. In OGEE we collect not only experimentally tested essential and non-essential genes, but also associated gene properties that contributes to gene essentiality. We tagged conditionally essential genes that show variable essentiality statuses across datasets to highlight complex interplays between gene functions and environmental/experimental perturbations. OGEE v3 contains gene essentiality datasets for 91 species; almost doubled from 48 species in previous version. To accommodate recent advances on human cancer essential genes (as known as tumor dependency genes) that could serve as targets for cancer treatment and/or drug development, we expanded the collection of human essential genes from 16 cell lines in previous to 581. These human cancer cell lines were tested with high-throughput experiments such as CRISPR-Cas9 and RNAi; in total, 150 of which were tested by both techniques. We also included factors known to contribute to gene essentiality for these cell lines, such as genomic mutation, methylation and gene expression, along with extensive graphical visualizations for ease of understanding of these factors. OGEE v3 can be accessible freely at https//v3.ogee.info.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oncogenes / Computational Biology / Genes, Essential / Genomics / Databases, Genetic / Neoplasms Limits: Animals / Humans Language: En Journal: Nucleic Acids Res Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oncogenes / Computational Biology / Genes, Essential / Genomics / Databases, Genetic / Neoplasms Limits: Animals / Humans Language: En Journal: Nucleic Acids Res Year: 2021 Document type: Article
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