1. Micropeptides derived from long non-coding RNAs: Computational analysis and functional roles in breast cancer and other diseases.
- Author
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Chen S, Liu M, Yi W, Li H, and Yu Q
- Subjects
- Humans, Female, Computational Biology methods, Peptides genetics, Peptides metabolism, Gene Expression Regulation, Neoplastic, Open Reading Frames, Animals, Micropeptides, RNA, Long Noncoding genetics, RNA, Long Noncoding metabolism, Breast Neoplasms genetics, Breast Neoplasms metabolism
- Abstract
Long non-coding RNAs (lncRNAs), once thought to be mere transcriptional noise, are now revealing a hidden code. Recent advancements like ribosome sequencing have unveiled that many lncRNAs harbor small open reading frames and can potentially encode functional micropeptides. Emerging research suggests these micropeptides, not the lncRNAs themselves, play crucial roles in regulating homeostasis, inflammation, metabolism, and especially in breast cancer progression. This review delves into the rapidly evolving computational tools used to predict and validate lncRNA-encoded micropeptides. We then explore the diverse functions and mechanisms of action of these micropeptides in breast cancer pathogenesis, with a focus on their roles in various species. Ultimately, this review aims to illuminate the functional landscape of lncRNA-encoded micropeptides and their potential as therapeutic targets in cancer., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2025
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