ArticleFrontiers in genetics2019
Systems Biology Reveals
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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.
The trial behind it
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- Meta-analysis across Nellore cattle populations identifies common metabolic mechanisms that regulate feed efficiency-related traits.BMC genomics · 2022Pooled it
- Sequence-based genome-wide association study reveals genetic and metabolic mechanisms underlying feed efficiency-related traits in beef cattle.Journal of animal science and biotechnology · 2026Article
- Comprehensive Multi-omics Analysis of Regulatory Variants for Body Weight in Cattle.Genomics, proteomics & bioinformatics · 2025Article
- Single-Step Genome-Wide Association Study of Factors for Evaluated and Linearly Scored Traits in Swedish Warmblood Horses.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Identification and functional annotation of candidate genes and transcription factors associated with reproductive traits to Nelore bulls: new insights from GWAS and post-GWAS analysis.Tropical animal health and production · 2025Article
- Dietary Fermentation withInternational journal of molecular sciences · 2025Article
- An Overview of Advancements in Proteomic Approaches to Enhance Livestock Production and Aquaculture.Animals : an open access journal from MDPI · 2025Review
- DCMS analysis revealed differential selection signatures in the transboundary Sahiwal cattle for major economic traits.Scientific reports · 2025Article
- A high-resolution bovine mitochondrial co-expression network.Biology open · 2025Article
- Review
- Relationship between the rumen microbiome and liver transcriptome in beef cattle divergent for feed efficiency.Animal microbiome · 2024Article
- Effect of breed and dietary composition on the miRNA profile of beef steers divergent for feed efficiency.Scientific reports · 2024Article
- Genes involved in the cholecystokinin receptor signaling map were differentially expressed in the jejunum of steers with variation in residual feed intake.Veterinary and animal science · 2024Article
- An across breed, diet and tissue analysis reveals the transcription factor NR1H3 as a key mediator of residual feed intake in beef cattle.BMC genomics · 2024Article
- Candidate Genes and Gene Networks Change with Age in Japanese Black Cattle by Blood Transcriptome Analysis.Genes · 2023Article
- Multi-breed genomic predictions and functional variants for fertility of tropical bulls.PloS one · 2023Article
- Leveraging transcriptome and epigenome landscapes to infer regulatory networks during the onset of sexual maturation.BMC genomics · 2022Article
- Chromatin accessibility and regulatory vocabulary across indicine cattle tissues.Genome biology · 2021Article
- Upstream Regulator Analysis of Wooden Breast Myopathy Proteomics in Commercial Broilers and Comparison to Feed Efficiency Proteomics in Pedigree Male Broilers.Foods (Basel, Switzerland) · 2021Article
- Identification of Predictor Genes for Feed Efficiency in Beef Cattle by Applying Machine Learning Methods to Multi-Tissue Transcriptome Data.Frontiers in genetics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systems biology approaches are used as strategy to uncover tissue-specific perturbations and regulatory genes related to complex phenotypes. We applied this approach to study feed efficiency (FE) in beef cattle, an important trait both economically and environmentally. Poly-A selected RNA of five tissues (adrenal gland, hypothalamus, liver, skeletal muscle and pituitary) of eighteen young bulls, selected for high and low FE, were sequenced (Illumina HiSeq 2500, 100 bp, pared-end). From the 17,354 expressed genes considering all tissues, 1,335 were prioritized by five selection categories (differentially expressed, harboring SNPs associated with FE, tissue-specific, secreted in plasma and key regulators) and used for network construction.
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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.