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LncDisease: a sequence based bioinformatics tool for predicting lncRNA-disease associations
Junyi Wang1, Ruixia Ma2, Wei Ma3
1Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing 100191, China MOE Key Lab of Cardiovascular Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China.
A new bioinformatics tool, LncDisease, accurately predicts long noncoding RNA (lncRNA)-disease associations by analyzing lncRNA-microRNA interactions, aiding disease research.
Area of Science:
- Bioinformatics
- Molecular Biology
- Genomics
Background:
- Long noncoding RNAs (lncRNAs) are crucial in human diseases.
- Developing bioinformatics tools for lncRNA research is essential.
Purpose of the Study:
- To develop LncDisease, a sequence-based bioinformatics method for predicting lncRNA-disease associations.
- To investigate lncRNA roles in breast cancer and hypertension.
Main Methods:
- Developed LncDisease based on lncRNA-microRNA crosstalk.
- Predicted lncRNA-disease links for breast cancer and hypertension.
- Validated predictions using qRT-PCR and literature mining.
Main Results:
- LncDisease accurately predicted lncRNAs associated with breast cancer (91.7% validation) and hypertension (75.0% validation).
- Six diseases linked to GAS5 were predicted, with 66.7% validated by literature.
- High specificity and efficacy of LncDisease demonstrated.
Conclusions:
- LncDisease is an effective tool for studying lncRNA-disease associations.
- The method aids in understanding lncRNA functions in complex diseases.
- LncDisease software is publicly available for research use.
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