ArticleBMC genomics2018
Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 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
76 citing papers in PubMed, 113 citations in OpenAlex.
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- 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
- Tissue-specific isoform usage and gene expression revealed through RNA-seq and ATAC-seq in developing cattle.BMC genomics · 2025Article
- Integrative transcriptomic analysis reveals alternative splicing complexity and transcriptomic diversity in porcine placentas across altitudes.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025Article
- An mRNA expression atlas for the duck with public RNA-seq datasets.BMC genomics · 2025Article
- Identification of long noncoding RNAs (lncRNAs) and co-transcriptional analysis of mRNAs and lncRNAs in transcriptomes ofFrontiers in RNA research · 2025Article
- MicroRNA analysis of porcine muscle tissue involved in phosphoinositol metabolism.Frontiers in veterinary science · 2025Article
- Transcriptomic Profiling Reveals Altered Expression of Genes Involved in Metabolic and Immune Processes in NDV-Infected Chicken Embryos.Metabolites · 2024Article
- In search of epigenetic hallmarks of different tissues: an integrative omics study of horse liver, lung, and heart.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- GEGA (Gallus Enriched Gene Annotation): an online tool providing genomics and functional information across 47 tissues for a chicken gene-enriched atlas gathering Ensembl and Refseq genome annotations.NAR genomics and bioinformatics · 2024Article
- Long non-coding RNA variability in porcine skeletal muscle.Journal of applied genetics · 2024Article
- TransTEx: novel tissue-specificity scoring method for grouping human transcriptome into different expression groups.Bioinformatics (Oxford, England) · 2024Article
- A Synergistic, Cultivator Model of De Novo Gene Origination.Genome biology and evolution · 2024Article
- Plant-LncPipe: a computational pipeline providing significant improvement in plant lncRNA identification.Horticulture research · 2024Article
- Enriched atlas of lncRNA and protein-coding genes for the GRCg7b chicken assembly and its functional annotation across 47 tissues.Scientific reports · 2024Article
- Long non-coding RNAs mediate fish gene expression in response to ocean acidification.Evolutionary applications · 2024Article
- Deep Conservation and Unexpected Evolutionary History of Neighboring lncRNAs MALAT1 and NEAT1.Journal of molecular evolution · 2024Article
- Combined analysis of lncRNA and mRNA emphasizes the potential role of tryptophan-mediated regulation of muscle development in weaned piglets by lncRNA.Journal of animal science · 2024Article
- Investigation of lncRNA inGenes · 2023Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundNumerous long non-coding RNAs (lncRNAs) have been identified and their roles in gene regulation in humans, mice, and other model organisms studied; however, far less research has been focused on lncRNAs in farm animal species. While previous studies in chickens, cattle, and pigs identified lncRNAs in specific developmental stages or differentially expressed under specific conditions in a limited number of tissues, more comprehensive identification of lncRNAs in these species is needed. The goal of the FAANG Consortium (Functional Annotation of Animal Genomes) is to functionally annotate animal genomes, including the annotation of lncRNAs. As one of the FAANG pilot projects, lncRNAs were identified across eight tissues in two adult male biological replicates from chickens, cattle, and pigs.
resultsComprehensive lncRNA annotations for the chicken, cattle, and pig genomes were generated by utilizing RNA-seq from eight tissue types from two biological replicates per species at the adult developmental stage. A total of 9393 lncRNAs in chickens, 7235 lncRNAs in cattle, and 14,429 lncRNAs in pigs were identified. Including novel isoforms and lncRNAs from novel loci, 5288 novel lncRNAs were identified in chickens, 3732 in cattle, and 4870 in pigs. These transcripts match previously known patterns of lncRNAs, such as generally lower expression levels than mRNAs and higher tissue specificity. An analysis of lncRNA conservation across species identified a set of conserved lncRNAs with potential functions associated with chromatin structure and gene regulation. Tissue-specific lncRNAs were identified. Genes proximal to tissue-specific lncRNAs were enriched for GO terms associated with the tissue of origin, such as leukocyte activation in spleen.
conclusionsLncRNAs were identified in three important farm animal species using eight tissues from adult individuals. About half of the identified lncRNAs were not previously reported in the NCBI annotations for these species. While lncRNAs are less conserved than protein-coding genes, a set of positionally conserved lncRNAs were identified among chickens, cattle, and pigs with potential functions related to chromatin structure and gene regulation. Tissue-specific lncRNAs have potential regulatory functions on genes enriched for tissue-specific GO terms. Future work will include epigenetic data from ChIP-seq experiments to further refine these annotations.
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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.