1. EXPath 2.0: An Updated Database for Integrating High-Throughput Gene Expression Data with Biological Pathways.
- Author
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Tseng KC, Li GZ, Hung YC, Chow CN, Wu NY, Chien YY, Zheng HQ, Lee TY, Kuo PL, Chang SB, and Chang WC
- Subjects
- Arabidopsis genetics, Arabidopsis metabolism, Genes, Plant, High-Throughput Screening Assays, Solanum lycopersicum genetics, Solanum lycopersicum metabolism, Medicago genetics, Medicago metabolism, Oligonucleotide Array Sequence Analysis, Oryza genetics, Oryza metabolism, Glycine max genetics, Glycine max metabolism, Transcription Factors genetics, Zea mays genetics, Zea mays metabolism, Databases, Genetic, Gene Expression, Gene Expression Regulation, Plant
- Abstract
Co-expressed genes tend to have regulatory relationships and participate in similar biological processes. Construction of gene correlation networks from microarray or RNA-seq expression data has been widely applied to study transcriptional regulatory mechanisms and metabolic pathways under specific conditions. Furthermore, since transcription factors (TFs) are critical regulators of gene expression, it is worth investigating TFs on the promoters of co-expressed genes. Although co-expressed genes and their related metabolic pathways can be easily identified from previous resources, such as EXPath and EXPath Tool, this information is not simultaneously available to identify their regulatory TFs. EXPath 2.0 is an updated database for the investigation of regulatory mechanisms in various plant metabolic pathways with 1,881 microarray and 978 RNA-seq samples. There are six significant improvements in EXPath 2.0: (i) the number of species has been extended from three to six to include Arabidopsis, rice, maize, Medicago, soybean and tomato; (ii) gene expression at various developmental stages have been added; (iii) construction of correlation networks according to a group of genes is available; (iv) hierarchical figures of the enriched Gene Ontology (GO) terms are accessible; (v) promoter analysis of genes in a metabolic pathway or correlation network is provided; and (vi) user's gene expression data can be uploaded and analyzed. Thus, EXPath 2.0 is an updated platform for investigating gene expression profiles and metabolic pathways under specific conditions. It facilitates users to access the regulatory mechanisms of plant biological processes. The new version is available at http://EXPath.itps.ncku.edu.tw., (© The Author(s) 2020. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
- Published
- 2020
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