ArticleScientific reports2017
Global mapping of miRNA-target interactions in cattle (Bos taurus).
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- First full-genome alignment representative for the genusRNA (New York, N.Y.) · 2026Article
- Benchmarking the negatives: Effect of negative data generation on the classification of miRNA-mRNA interactions.PLoS computational biology · 2024Article
- Empowering prediction of miRNA-mRNA interactions in species with limited training data through transfer learning.Heliyon · 2024Article
- Integrated analysis of expression profiles with meat quality traits in cattle.Scientific reports · 2022Article
- Mammary epithelial cell transcriptome reveals potential roles of lncRNAs in regulating milk synthesis pathways in Jersey and Kashmiri cattle.BMC genomics · 2022Article
- Comprehensive machine-learning-based analysis of microRNA-target interactions reveals variable transferability of interaction rules across species.BMC bioinformatics · 2021Article
- Argonaute-CLIP delineates versatile, functional RNAi networks in Aedes aegypti, a major vector of human viruses.Cell host & microbe · 2021Article
- Differentially Expressed Extracellular Vesicle, Exosome and Non-Exosome miRNA Profile in High and Low Tick-Resistant Beef Cattle.Frontiers in cellular and infection microbiology · 2021Article
- Regulation of circadian rhythm and sleep by miR-375-timeless interaction in Drosophila.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020Article
- Circulating microRNA trafficking and regulation: computational principles and practice.Briefings in bioinformatics · 2020Review
- Evolutionary selection of pestivirus variants with altered or no microRNA dependency.Nucleic acids research · 2020Article
- Integrative Network Analysis of Predicted miRNA-Targets Regulating Expression of Immune Response Genes in Bovine Coronavirus Infection.Frontiers in genetics · 2020Article
- Article
- Computational Network Analysis Identifies Evolutionarily Conserved miRNA Gene Interactions Potentially Regulating Immune Response in Bovine Trypanosomosis.Frontiers in microbiology · 2019Article
- Review
- MiR-27a-5p Increases Steer Fat Deposition Partly by Targeting Calcium-sensing Receptor (CASR).Scientific reports · 2018Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
With roles in development, cell proliferation and disease, micro-RNA (miRNA) biology is of great importance and a potential therapeutic target. Here we used cross-linking immunoprecipitation (CLIP) and ligation of miRNA-target chimeras on the Argonaute (AGO) protein to globally map miRNA interactions in the cow. The interactome is the deepest reported to date. miRNA targeting principles are consistent with observations in other species, but with expanded pairing rules. Experimental mapping robustly predicted functional miR-17 regulatory sites. From miRNA-specific targeting for >5000 mRNAs we determined gene ontologies (GO). This confirmed repression of genes important for embryonic development and cell cycle progress by the let-7 family, and repression of those involved in cell cycle arrest by the miR-17 family, but also suggested a number of unappreciated miRNA functions. Our results provide a significant resource for understanding of bovine and species-conserved miRNA regulation, and demonstrate the power of experimental methods for establishing comprehensive interaction maps.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.