ArticleBMC bioinformatics2019
BEST: a web server for brain expression Spatio-temporal pattern analysis.
Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Identification of Biomarkers Related to the Pathogenesis and Prognosis of Pediatric Moyamoya Disease Via Cerebrospinal Fluid Proteomics.Translational stroke research · 2025Article
- Systems-Level Analysis of Genetic Variants Reveals Functional and Spatiotemporal Context in Treatment-resistant Schizophrenia.Molecular neurobiology · 2022Article
- Clinical and translational values of spatial transcriptomics.Signal transduction and targeted therapy · 2022Review
- Network Theoretical Approach to Explore Factors Affecting Signal Propagation and Stability in Dementia's Protein-Protein Interaction Network.Biomolecules · 2022Article
- Characterization of exogenous αSN response genes and their relation to Parkinson's disease using network analyses.Frontiers in pharmacology · 2022Article
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- Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19.Molecular neurobiology · 2021Article
- Preservation Analysis on Spatiotemporal Specific Co-expression Networks Suggests the Immunopathogenesis of Alzheimer's Disease.Frontiers in aging neuroscience · 2021Article
- Genomewide alteration of histone H3K4 methylation underlies genetic vulnerability to psychopathology.Journal of genetics · 2021Article
- Neurological manifestations of COVID-19: available evidences and a new paradigm.Journal of neurovirology · 2020Review
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Authors and funding
5 authors.
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Abstract
backgroundDysregulated gene expression patterns have been reported in several mental disorders. Limited by the difficulty of obtaining samples, psychiatric molecular mechanism research still relies heavily on clues from genetics studies. By using reference data from brain expression studies, multiple types of comprehensive gene expression pattern analysis have been performed on psychiatric genetic results. These systems-level spatial-temporal expression pattern analyses provided evidence on specific brain regions, developmental stages and molecular pathways that are possibly involved in psychiatric pathophysiology. At present, there is no online tool for such systematic analysis, which hinders the applications of analysis by non-informatics researchers such as experimental biologists and clinical molecular biologists.
resultsWe developed the BEST web server to support Brain Expression Spatio-Temporal pattern analysis. There are three highlighted features of BEST: 1) visualization: it generates user-friendly visual results that are easy to interpret, including heatmaps, Venn diagrams, gene co-expression networks and cluster-based Manhattan gene plots; these results illustrate the complex spatio-temporal expression patterns, including expression quantification and correlation between genes; 2) integration: it provides comprehensive human brain spatio-temporal expression patterns by integrating data from currently available databases; 3) multi-dimensionality: it analyses input genes as both a whole set and several subsets (clusters) which are enriched according to co-expression patterns, and it also presents the correlation between genetic and expression data.
conclusionsTo the best of our knowledge, BEST is the first data tool to support comprehensive human brain spatial-temporal expression pattern analysis. It helps to bridge disease-related genetic studies and mechanism studies, provides clues for key gene and molecular system identification, and supports the analysis of disease sensitive brain region and age stages. BEST is freely available at http://best.psych.ac.cn.
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