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The antibody loci of the domestic goat (Capra hircus)

Overview of attention for article published in Immunogenetics, October 2017
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Title
The antibody loci of the domestic goat (Capra hircus)
Published in
Immunogenetics, October 2017
DOI 10.1007/s00251-017-1033-3
Pubmed ID
Authors

John C. Schwartz, Rebecca L. Philp, Derek M. Bickhart, Timothy P. L. Smith, John A. Hammond

Abstract

The domestic goat (Capra hircus) is an important ruminant species both as a source of antibody-based reagents for research and biomedical applications and as an economically important animal for agriculture, particularly for developing nations that maintain most of the global goat population. Characterization of the loci encoding the goat immune repertoire would be highly beneficial for both vaccine and immune reagent development. However, in goat and other species whose reference genomes were generated using short-read sequencing technologies, the immune loci are poorly assembled as a result of their repetitive nature. Our recent construction of a long-read goat genome assembly (ARS1) has facilitated characterization of all three antibody loci with high confidence and comparative analysis to cattle. We observed broad similarity of goat and cattle antibody-encoding loci but with notable differences that likely influence formation of the functional antibody repertoire. The goat heavy-chain locus is restricted to only four functional and nearly identical IGHV genes, in contrast to the ten observed in cattle. Repertoire analysis indicates that light-chain usage is more balanced in goats, with greater representation of kappa light chains (~ 20-30%) compared to that in cattle (~ 5%). The present study represents the first characterization of the goat antibody loci and will help inform future investigations of their antibody responses to disease and vaccination.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 34%
Student > Master 5 17%
Student > Ph. D. Student 3 10%
Student > Bachelor 1 3%
Unspecified 1 3%
Other 2 7%
Unknown 7 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 21%
Biochemistry, Genetics and Molecular Biology 6 21%
Immunology and Microbiology 4 14%
Veterinary Science and Veterinary Medicine 2 7%
Medicine and Dentistry 2 7%
Other 1 3%
Unknown 8 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 January 2019.
All research outputs
#15,481,888
of 23,006,268 outputs
Outputs from Immunogenetics
#953
of 1,203 outputs
Outputs of similar age
#205,117
of 327,882 outputs
Outputs of similar age from Immunogenetics
#10
of 16 outputs
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