PlantAPAdb

PlantAPAdb catalogs alternative cleavage and polyadenylation (APA) sites across multiple plant species to support investigations of APA-mediated regulation of gene expression.


Key Features:

  • Comprehensive Data Collection: PlantAPAdb includes APA sites from six plant species: Oryza sativa (japonica and indica), Arabidopsis thaliana, Medicago truncatula, Trifolium pratense, Phyllostachys edulis, and Chlamydomonas reinhardtii.
  • Sequencing-derived Annotations: APA site annotations are derived from diverse 3' sequencing protocols and biological samples.
  • Genomic Coordinates and Heterogeneity: Provides detailed genomic locations of APA sites, including heterogeneous cleavage sites and sample-specific expression levels.
  • Poly(A) Signal Profiles: Contains poly(A) signal data associated with APA sites across different genomic regions, reflecting cis-element profiles.
  • 3' UTR Dynamics: Documents 3' untranslated region shortening and lengthening events resulting from APA.
  • Evolutionary Conservation: Includes information on conservation of APA sites across plant species to support comparative analyses.

Scientific Applications:

  • Gene Expression Regulation: Enables analysis of APA as a regulatory mechanism affecting transcript isoforms and expression levels.
  • Developmental and Tissue-specific Studies: Supports investigations of developmental stage–specific and tissue-specific APA patterns.
  • Environmental and Stress Response: Facilitates study of APA changes in response to environmental stimuli.
  • Comparative and Evolutionary Analyses: Allows cross-species comparisons of APA site conservation and cis-element evolution.

Methodology:

APA sites were identified from diverse 3' sequencing protocols applied to multiple biological samples.

Topics

Details

Added:
1/14/2020
Last Updated:
1/10/2021

Operations

Publications

Zhu S, Ye W, Ye L, Fu H, Ye C, Xiao X, Ji Y, Lin W, Ji G, Wu X. PlantAPAdb: A Comprehensive Database for Alternative Polyadenylation Sites in Plants. Plant Physiology. 2019;182(1):228-242. doi:10.1104/pp.19.00943. PMID:31767692. PMCID:PMC6945835.

PMID: 31767692
Funding: - National Natural Science Foundation of China: 61573296, 61802323, 61871463 - Natural Science Foundation of Fujian Province of China: 2017J01068 - Fundamental Research Funds for the Central Universities in China: 20720170076

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