Journal article
dbLGL: an online leukemia gene and literature database for the retrospective comparison of adult and childhood leukemia genetics with literature evidence
Database: The Journal of Biological Databases and Curation, Vol.2018, Bay062
2018
Abstract
Leukemia is a group of cancers with increased numbers of immature or abnormal leucocytes that originated in the bone marrow and other blood-forming organs. The development of differentially diagnostic biomarkers for different subtypes largely depends on understanding the biological pathways and regulatory mechanisms associated with leukemia-implicated genes. Unfortunately, the leukemia-implicated genes that have been identified thus far are scattered among thousands of published studies, and no systematic summary of the differences between adult and childhood leukemia exists with regard to the causative genetic mutations and genetic mechanisms of the various subtypes. In this study, we performed a systematic literature review of those susceptibility genes reported in small-scale experiments and built an online gene database containing a total of 1805 leukemia-associated genes, available at http://soft.bioinfo-minzhao.org/lgl/. Our comparison of genes from the four primary subtypes and between adult and childhood cases identified a number of potential genes related to patient survival. These curated genes can satisfy a growing demand for further integrating genomics screening for leukemia-associated low-frequency mutated genes.Database URL: http://soft.bioinfo-minzhao.org/lgl/.
Details
- Title
- dbLGL: an online leukemia gene and literature database for the retrospective comparison of adult and childhood leukemia genetics with literature evidence
- Authors
- Y Liu (Author) - Guangzhou Medical University, People's Republic of ChinaMingyu Luo (Author) - University of the Sunshine Coast, Queensland, Faculty of Science, Health, Education and EngineeringZ Jin (Author) - Peking University, People's Republic of ChinaMin Zhao (Corresponding Author) - University of the Sunshine Coast, Queensland, Faculty of Science, Health, Education and EngineeringH Qu (Corresponding Author) - Peking University, People's Republic of China
- Publication details
- Database: The Journal of Biological Databases and Curation, Vol.2018, Bay062; 6
- Publisher
- Oxford University Press
- Date published
- 2018
- DOI
- 10.1093/database/bay062
- ISSN
- 1758-0463
- Copyright note
- Copyright © The Author(s) 2018. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; GeneCology Research Centre - Legacy; School of Health and Sport Sciences - Legacy; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99451355102621
- Output Type
- Journal article
Metrics
50 File views/ downloads
314 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Mathematical & Computational Biology
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites