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.
DOI: 10.1093/jxb/erad186
PMID: 37523674
Funding: - Ministry of Science and Technology, Taiwan: 108-2311-B-006-002-MY3, 111-2311-B-006-006