ArticleImmunogenetics2016
Rapid identification of bovine MHCI haplotypes in genetically divergent cattle populations using next-generation sequencing.
Article in Immunogenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Improved high-throughput MHC typing for non-model species using long-read sequencing.Molecular ecology resources · 2022Pooled it
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- High-Resolution Genotyping of Expressed Equine MHC Reveals a Highly Complex MHC Structure.Genes · 2023Article
- Profiling the immune epigenome across global cattle breeds.Genome biology · 2023Article
- Article
- Article
- Uncovering novel MHC alleles from RNA-Seq data: expanding the spectrum of MHC class I alleles in sheep.BMC genomic data · 2023Article
- Article
- Development of a Potential Yeast-Based Vaccine Platform forFrontiers in immunology · 2021Article
- NNAlign_MA; MHC Peptidome Deconvolution for Accurate MHC Binding Motif Characterization and Improved T-cell Epitope Predictions.Molecular & cellular proteomics : MCP · 2019Article
Corrections and comments
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Authors and funding
15 authors at 3 institutions in 4 countries.
Funding
Abstract
The major histocompatibility complex (MHC) region contains many genes that are key regulators of both innate and adaptive immunity including the polymorphic MHCI and MHCII genes. Consequently, the characterisation of the repertoire of MHC genes is critical to understanding the variation that determines the nature of immune responses. Our current knowledge of the bovine MHCI repertoire is limited with only the Holstein-Friesian breed having been studied in any depth. Traditional methods of MHCI genotyping are of low resolution and laborious and this has been a major impediment to a more comprehensive analysis of the MHCI repertoire of other cattle breeds. Next-generation sequencing (NGS) technologies have been used to enable high throughput and much higher resolution MHCI typing in a number of species. In this study we have developed a MiSeq platform approach and requisite bioinformatics pipeline to facilitate typing of bovine MHCI repertoires. The method was validated initially on a cohort of Holstein-Friesian animals and then demonstrated to enable characterisation of MHCI repertoires in African cattle breeds, for which there was limited or no available data. During the course of these studies we identified >140 novel classical MHCI genes and defined 62 novel MHCI haplotypes, dramatically expanding the known bovine MHCI repertoire.
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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.