Literature DB >> 28158643

PlantExpress: A Database Integrating OryzaExpress and ArthaExpress for Single-species and Cross-species Gene Expression Network Analyses with Microarray-Based Transcriptome Data.

Toru Kudo1, Shin Terashima1, Yuno Takaki1, Ken Tomita1, Misa Saito1, Maasa Kanno1, Koji Yokoyama1, Kentaro Yano1.   

Abstract

Publicly available microarray-based transcriptome data on plants are remarkably valuable in terms of abundance and variation of samples, particularly for Oryza sativa (rice) and Arabidopsis thaliana (Arabidopsis). Here, we introduce the web database PlantExpress (http://plantomics.mind.meiji.ac.jp/PlantExpress/) as a platform for gene expression network (GEN) analysis with the public microarray data of rice and Arabidopsis. PlantExpress has two functional modes. The single-species mode is specialized for GEN analysis within one of the species, while the cross-species mode is optimized for comparative GEN analysis between the species. The single-species mode for rice is the new version of OryzaExpress, which we have maintained since 2006. The single-species mode for Arabidopsis, named ArthaExpress, was newly developed. PlantExpress stores data obtained from three microarrays, the Affymetrix Rice Genome Array, the Agilent Rice Gene Expression 4x44K Microarray, and the Affymetrix Arabidopsis ATH1 Genome Array, with respective totals of 2,678, 1,206, and 10,940 samples. This database employs a ‘MyList’ function with which users may save lists of arbitrary genes and samples (experimental conditions) to use in analyses. In cross-species mode, the MyList function allows performing comparative GEN analysis between rice and Arabidopsis. In addition, the gene lists saved in MyList can be directly exported to the PODC database, which provides information and a platform for comparative GEN analysis based on RNA-seq data and knowledge-based functional annotation of plant genes. PlantExpress will facilitate understanding the biological functions of plant genes.

Entities:  

Keywords:  Arabidopsis thaliana; Gene expression network; Microarray; Oryza sativa (rice)

Mesh:

Year:  2017        PMID: 28158643     DOI: 10.1093/pcp/pcw208

Source DB:  PubMed          Journal:  Plant Cell Physiol        ISSN: 0032-0781            Impact factor:   4.927


  6 in total

1.  Genome sequence analysis of the fairy ring-forming fungus Lepista sordida and gene candidates for interaction with plants.

Authors:  Tomoyuki Takano; Naoki Yamamoto; Tomohiro Suzuki; Hideo Dohra; Jae-Hoon Choi; Yurika Terashima; Koji Yokoyama; Hirokazu Kawagishi; Kentaro Yano
Journal:  Sci Rep       Date:  2019-04-10       Impact factor: 4.379

2.  BrassicaEDB: A Gene Expression Database for Brassica Crops.

Authors:  Haoyu Chao; Tian Li; Chaoyu Luo; Hualei Huang; Yingfei Ruan; Xiaodong Li; Yue Niu; Yonghai Fan; Wei Sun; Kai Zhang; Jiana Li; Cunmin Qu; Kun Lu
Journal:  Int J Mol Sci       Date:  2020-08-13       Impact factor: 5.923

Review 3.  Exploring synergies between plant metabolic modelling and machine learning.

Authors:  Marta Sampaio; Miguel Rocha; Oscar Dias
Journal:  Comput Struct Biotechnol J       Date:  2022-04-16       Impact factor: 6.155

Review 4.  Multi-Omics Approaches and Resources for Systems-Level Gene Function Prediction in the Plant Kingdom.

Authors:  Muhammad-Redha Abdullah-Zawawi; Nisha Govender; Sarahani Harun; Nor Azlan Nor Muhammad; Zamri Zainal; Zeti-Azura Mohamed-Hussein
Journal:  Plants (Basel)       Date:  2022-10-05

Review 5.  Gene Regulatory Network Inference: Connecting Plant Biology and Mathematical Modeling.

Authors:  Lisa Van den Broeck; Max Gordon; Dirk Inzé; Cranos Williams; Rosangela Sozzani
Journal:  Front Genet       Date:  2020-05-25       Impact factor: 4.599

6.  Proteomics Analysis of Plasma Membrane Fractions of the Root, Leaf, and Flower of Rice.

Authors:  Yukimoto Iwasaki; Takafumi Itoh; Yusuke Hagi; Sakura Matsuta; Aki Nishiyama; Genki Chaya; Yuki Kobayashi; Kotaro Miura; Setsuko Komatsu
Journal:  Int J Mol Sci       Date:  2020-09-23       Impact factor: 5.923

  6 in total

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