JustRNA

JustRNA provides an extensive expression-profiling database and analysis resources for plant long noncoding RNAs (lncRNAs), enabling investigation of their expression patterns, microRNA targeting, genomic associations, co-expression networks, and transcriptional regulation.


Key Features:

  • Extensive annotation database: 1,088,565 annotated lncRNAs across 80 plant species.
  • RNA-seq dataset: 3,692 RNA-seq samples from 825 distinct conditions in six model plants for expression profiling.
  • Functional network reconstruction: Reconstruction of lncRNA-associated functional networks to infer regulatory relationships.
  • Genomic association analysis: Analysis of genomic proximity and associations between lncRNAs and nearby genes.
  • MicroRNA target prediction: Prediction of microRNA targets involving lncRNAs.
  • Co-expression analysis: Co-expression analysis between lncRNAs and protein-coding genes to support interaction inference.
  • ChIP-seq integration: Integration of ChIP-seq data for transcription factors and histone modifications across plant species.

Scientific Applications:

  • Regulatory mechanism elucidation: Use of co-expression and network data to infer lncRNA roles in gene regulation.
  • Gene interaction studies: Investigation of lncRNA–gene and lncRNA–microRNA interactions via genomic association and target prediction.
  • Transcriptional regulation insights: Analysis of ChIP-seq and expression data to study transcription factor and histone-modification influences on lncRNA expression.

Methodology:

Functional network reconstruction, genomic association analysis, microRNA target prediction, co-expression analysis, and integration of RNA-seq and ChIP-seq data.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
3/6/2024
Last Updated:
11/24/2024

Operations

Publications

Tseng K, Wu N, Chow C, Zheng H, Chou C, Yang C, Wang M, Chang S, Chang W. JustRNA: a database of plant long noncoding RNA expression profiles and functional network. Journal of Experimental Botany. 2023;74(17):4949-4958. doi:10.1093/jxb/erad186. PMID:37523674.

PMID: 37523674
Funding: - Ministry of Science and Technology, Taiwan: 108-2311-B-006-002-MY3, 111-2311-B-006-006