ArticleBMC genomics2018
Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Role of microRNAs in immunoregulatory functions of epithelial cells.BMC immunology · 2024Review
- Exploring the putative microRNAs cross-kingdom transfer inFrontiers in plant science · 2024Article
- Review
- Investigation of the transability of dietary small non-coding RNAs to animals.Frontiers in genetics · 2022Article
- PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles.BMC bioinformatics · 2021Article
- Evaluation and application of tools for the identification of known microRNAs in plants.Applications in plant sciences · 2021Review
- Potential Mechanisms Linking Food-Derived MicroRNAs, Gut Microbiota and Intestinal Barrier Functions in the Context of Nutrition and Human Health.Frontiers in nutrition · 2021Review
- Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms.Cybernetics and systems · 2021Article
- Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients.Diagnostics (Basel, Switzerland) · 2019Article
- A Bioinformatics Approach to Explore MicroRNAs as Tools to Bridge Pathways Between Plants and Animals. Is DNA Damage Response (DDR) a Potential Target Process?Frontiers in plant science · 2019Article
- Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundAn increasing number of studies reported that exogenous miRNAs (xenomiRs) can be detected in animal bodies, however, some others reported negative results. Some attributed this divergence to the selective absorption of plant-derived xenomiRs by animals.
resultsHere, we analyzed 166 plant-derived xenomiRs reported in our previous study and 942 non-xenomiRs extracted from miRNA expression profiles of four species of commonly consumed plants. Employing statistics analysis and cluster analysis, our study revealed the potential sequence specificity of plant-derived xenomiRs. Furthermore, a random forest model and a one-dimensional convolutional neural network model were trained using miRNA sequence features and raw miRNA sequences respectively and then employed to predict unlabeled plant miRNAs in miRBase. A total of 241 possible plant-derived xenomiRs were predicted by both models. Finally, the potential functions of these possible plant-derived xenomiRs along with our previously reported ones in human body were analyzed.
conclusionsOur study, for the first time, presents the systematic plant-derived xenomiR sequences analysis and provides evidence for selective absorption of plant miRNA by human body, which could facilitate the future investigation about the mechanisms underlying the transference of plant-derived xenomiR.
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