OGEE v3: Online GEne Essentiality database with increased coverage of organisms and human cell lines

Author:

Gurumayum Sanathoi1,Jiang Puzi1,Hao Xiaowen1,Campos Tulio L23ORCID,Young Neil D2,Korhonen Pasi K2,Gasser Robin B2ORCID,Bork Peer4567,Zhao Xing-Ming89ORCID,He Li-jie10,Chen Wei-Hua111ORCID

Affiliation:

1. 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 (HUST), 430074 Wuhan, Hubei, China

2. Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia

3. Instituto Aggeu Magalhães, Fundação Oswaldo Cruz (IAM-Fiocruz), Recife, Pernambuco, Brazil

4. European molecular biology laboratory (EMBL), Meyerhof Strasse 1, 69117 Heidelberg, Germany

5. Molecular Medicine Partnership Unit, University of Heidelberg and European Molecular Biology Laboratory, 69120 Heidelberg, Germany

6. Max-Delbrück-Centre for Molecular Medicine, Robert-Rössle-Straße 10, 13125 Berlin, Germany

7. Department of Bioinformatics, Biocenter, University of Würzburg, 97074 Würzburg, Germany

8. Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 200433 Shanghai, China

9. Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, China

10. Department of Medical Oncology, People's Hospital of Liaoning Province, 110016 Shenyang, China

11. College of Life Science, Henan Normal University, 453007 Xinxiang, Henan, China

Abstract

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.

Funder

National Key Research and Development Program of China

Natural Science Foundation of Shanghai

Shanghai Municipal Science and Technology

Australian Research Council

NHMRC

Publisher

Oxford University Press (OUP)

Subject

Genetics

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