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You are what you eat: Sequence analysis reveals how plant microRNAs may regulate the human genome

Kashani, B ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1016/j.compbiomed.2019.01.020
  3. Publisher: Elsevier Ltd , 2019
  4. Abstract:
  5. Background: Nutrigenomic has revolutionized our understanding of nutrition. As plants make up a noticeable part of our diet, in the present study we chose microRNAs of edible plants and investigated if they can perfectly match human genes, indicating potential regulatory functionalities. Methods: miRNAs were obtained using the PNRD database. Edible plants were separated and microRNAs in common in at least four of them entered our analysis. Using vmatchPattern, these 64 miRNAs went through four steps of refinement to improve target prediction: Alignment with the whole genome (2581 results), filtered for those in gene regions (1371 results), filtered for exon regions (66 results) and finally alignment with the human CDS (41 results). The identified genes were further analyzed in-silico to find their functions and relations to human diseases. Results: Four common plant miRNAs were identified to match perfectly with 22 human transcripts. The identified target genes were involved in a broad range of body functions, from muscle contraction to tumor suppression. We could also indicate some connections between these findings and folk herbology and botanical medicine. Conclusions: The food that we regularly eat has a great potential in affecting our genome and altering body functions. Plant miRNAs can provide means of designing drugs for a vast range of health problems including obesity and cancer, since they target genes involved in cell cycle (CCNC), digestion (GIPR) and muscular contractions (MYLK). They can also target regions of CDS for which we still have no sufficient information, to help boost our knowledge of the human genome
  6. Keywords:
  7. Diet ; Gene regulation ; MicroRNA ; Nutrigenomics ; Plant ; Target prediction ; Cell adhesion ; Diseases ; Forecasting ; Gene expression ; Muscle ; Nutrition ; Plant extracts ; RNA ; System theory ; Cancer progression ; Cell-cell adhesion ; MicroRNAs ; Muscle contractions ; Muscular contraction ; Genes ; Plant RNA ; Cancer inhibition ; Qene control ; Qene function ; Qene identification ; Human ; Human genome ; Muscle contraction ; Nonhuman ; Priority journal ; RNA analysis ; Sequence alignment ; Sequence analysis ; Computer simulation ; Qenetics ; Metabolism ; Nucleic acid database ; Databases, Nucleic Acid ; Food ; Genome, Human ; Humans ; RNA, Plant ; Sequence Analysis, RNA
  8. Source: Computers in Biology and Medicine ; Volume 106 , 2019 , Pages 106-113 ; 00104825 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S0010482519300204