ArticleInternational journal of molecular sciences2025
Novel Insights into the Molecular Mechanisms of Chicken Breast Muscle Development by Integrating Non-Coding RNA and mRNA Profiles.
Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Advances in Poultry RNA-Omics Research: Technologies, RNA Information Layers, and Applications in Complex Traits.Animals : an open access journal from MDPI · 2026Review
- Comparative Analysis of the Transcriptome of the Chicken Breast Muscle at Different Developmental Stages.Animals : an open access journal from MDPI · 2026Article
- Construction and Functional Analysis of the ceRNA Regulatory Network Associated with Muscle Development in Shaanbei White Cashmere Goats.Animals : an open access journal from MDPI · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Chicken meat represents the most widely consumed source of animal protein globally. The identification of non-coding RNAs (ncRNAs) that affect muscle development provides new selection targets for poultry breeding. In this study, muscle samples from high- and low-breast-weight chickens were collected and sequenced for long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), and mRNAs. Using weighted gene co-expression network analysis, we found 95 lncRNAs and 46 circRNAs that were significantly associated with breast muscle traits. Subsequently, 51 candidate lncRNAs and 22 candidate circRNAs were screened through differential expression analysis. Finally, by constructing an ncRNA-mRNA regulatory network and performing pathway enrichment analysis, we identified four lncRNAs (e.g., MSTRG.9172.1) and seven circRNAs (e.g., novel_circ_009419) as key regulatory molecules. Functional analysis revealed that these molecules modulate genes such as
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Registered trials
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