Version: 1.0
A comprehensive resource of multilevel alterations induced in model organisms by in vivo genetic perturbation.
A genetically modified organism (GMO) is any organism whose genotype has been altered using genetic engineering techniques, e.g. knockdown, knockout and overexpression, et al, and could be considered a good model of human genetic disease or plant disease resistance. PertOrg 1.0 is a free database that curates high-throughput gene expression data and associated information like phenotypic alterations from well-conducted studies involving in vivo genetic perturbation in eight model organisms. In current version, 58,707 transcriptome profiles are collected, and 10,116 comparison datasets including 122 scRNA-Seq datasets are organized and analyzed. 8,644,148 differentially expressed genes were identified and deposited as signatures of gene perturbations.
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> Users can easily search various types of gene perturbations for a model organism using "search" and "browse" functions.
> Users can compare their gene list with PertOrg signatures, to identify potentially perturbed genes or GMO models in their system using the "analysis" function.
> In brief, users can link gene perturbations with differentially expressed genes, pathways, cell types, tissues, phenotypes and diseases to interrogate gene function, tissue development, phenogenesis, disease mechanism, and disease models, and to assess therapeutic targets and potential gene therapy.
> The large number of datasets from multiple in vivo perturbed model organisms.
> Genetic perturbation induced changes at multiple levels, i.e. gene/pathway/cell type/phenotype.
> scRNA-Seq data comparison between before and after perturbation.
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