CropCircDB

CropCircDB provides a curated database of circular RNAs (circRNAs) in maize and rice focused on their responses to abiotic stress.


Key Features:

  • Extensive Data Collection: Systematic analysis of large-scale RNA-Seq datasets identified 38,785 circRNAs in maize and 63,048 circRNAs in rice from 244 maize and 288 rice RNA-Seq samples.
  • Stress Detection Metric: Implements a "stress detection score" metric to detect circRNAs associated with abiotic stress conditions.
  • Dynamic Expression Profiles: Provides dynamic expression profiles of circRNAs across all analyzed samples to assess expression changes under stress.
  • Comprehensive Repository: Hosts both predicted and validated circRNAs responsive to abiotic stress with annotations relevant to miRNA sponge activity.

Scientific Applications:

  • CircRNA cataloging: Provides a reference set of circRNAs in maize and rice for studies of circRNA biology.
  • Abiotic stress response analysis: Enables identification of circRNAs associated with abiotic stress using the stress detection score and expression profiles.
  • miRNA sponge and mRNA regulation studies: Supports investigation of circRNAs acting as miRNA sponges and mediating mRNA expression.
  • Crop molecular mechanism research: Facilitates research into molecular mechanisms underlying plant responses to environmental stresses in crops such as maize and rice.

Methodology:

Analyzed 244 maize and 288 rice RNA-Seq samples to identify circRNAs (38,785 maize; 63,048 rice) and computed a "stress detection score" to detect stress-responsive circRNAs; the database includes predicted and validated circRNAs.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
PHP, JavaScript
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Wang K, Wang C, Guo B, Song K, Shi C, Jiang X, Wang K, Tan Y, Wang L, Wang L, Li J, Li Y, Cai Y, Zhao H, Sun X. CropCircDB: a comprehensive circular RNA resource for crops in response to abiotic stress. Database. 2019;2019. doi:10.1093/database/baz053. PMID:31058278. PMCID:PMC6501434.

PMID: 31058278
PMCID: PMC6501434
Funding: - Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund: U1501501 - National Natural Science Foundation of China: 31571306

Documentation