SynthesisAnimal biotechnology2024
A meta-analysis approach for annotation and identification of lncRNAs controlling perirenal fat deposition in suckling lambs.
Synthesis in Animal biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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
2 citing papers in PubMed.
- Selection signature analysis in chickens divergently selected for growth rate reveals novel candidate genes regulating fat deposition.BMC genomics · 2025Article
- RNA-Seq based selection signature analysis for identifying genomic footprints associated with the fat-tail phenotype in sheep.Frontiers in veterinary science · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
Long non-coding RNAs (lncRNAs) are being studied in farm animals due to their association with traits of economic interest, such as fat deposition. Based on the analysis of perirenal fat transcriptomes, this research explored the relevance of these regulatory elements to fat deposition in suckling lambs. To that end, meta-analysis techniques have been implemented to efficiently characterize and detect differentially expressed transcripts from two different RNA-seq datasets, one including samples of two sheep breeds that differ in fat deposition features, Churra and Assaf (
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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 Socratic graph.