Predominant miRNAs in Animal-Source Foods and Bioinformatic Analysis
Olubukunmi Amos Ilori, Giuseppe De Santis, Roberto Cannataro, Paola Tucci, Erika Cione

TL;DR
This paper identifies dominant miRNAs in animal-source foods and explores their potential biological functions based on bioinformatic analysis.
Contribution
The study introduces a frequency-weighted ordinal recurrence approach to identify predominant miRNAs in different animal-source food categories.
Findings
let-7d-5p, miR-101-3p, and miR-133b are dominant in lean meat miRNA profiles.
miR-145-5p, miR-92-5p, and miR-24-3p are predominant in meat offal.
Dairy products show a consistent dominance of miR-200a-3p, miR-200c-3p, and miR-223-3p.
Abstract
The recognition of microRNAs as components of animal-source foods (ASFs) with epigenetic characteristics and regulation has spurred research in an interesting direction, particularly in understanding their microRNAs (miRNAs) fraction. Thus, a constant supply of them through food intake, with equally conserved targets, may facilitate their accumulation in tissues rich in their targets. Here, we consider the potentially dominant miRNAs in animal-source foods (ASFs) documented in the literature, identified through a frequency-weighted ordinal recurrence approach. let-7d-5p, miR-101-3p, and miR-133b consistently showed dominant rankings in a product-specific manner in lean meat. In meat fat, let-7i-5p, miR-30c-5p, and miR-23a-3p were highly ranked. Among various types of meat offal, miR-145-5p, miR-92-5p, and miR-24-3p emerged as the predominant miRNAs. Similarly, in dairy products,…
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Taxonomy
TopicsMicroRNA in disease regulation · Meat and Animal Product Quality · Biochemical Analysis and Sensing Techniques
