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Rapid discrimination of MHC class I and killer cell lectin-like receptor allele variants by high-resolution melt analysis

Overview of attention for article published in Immunogenetics, July 2012
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Title
Rapid discrimination of MHC class I and killer cell lectin-like receptor allele variants by high-resolution melt analysis
Published in
Immunogenetics, July 2012
DOI 10.1007/s00251-012-0630-4
Pubmed ID
Authors

Alyssa Lundgren, Sharon Kim, Michael D. Stadnisky, Michael G. Brown

Abstract

Ly49G and H-2 class I D(k) molecules are critical to natural killer cell-mediated viral control. To examine their contributions in greater depth, we established NK gene complex (NKC)/Ly49 congenic strains and a novel genetic model defined by MHC class I D(k) disparity in congenic and transgenic mouse strains. Generation and maintenance of Ly49 and H-2 class I select strains require efficient and reproducible genotyping assays for highly polygenic and polymorphic sequences. Thus, we coupled gene- and allele-specific PCR with high-resolution melt (HRM) analysis to discriminate Ly49g and H-2 class I D and K alleles in select strains and in the F(2) and backcross hybrid offspring of different genetic crosses. We show that HRM typing for these critical immune response genes is fast, accurate, and dependable. We further demonstrate that H-2 class I D HRM typing is competent to detect and quantify transgene copy numbers in different mice with distinct genetic backgrounds. Our findings substantiate the utility and practicality of HRM genotyping for highly related genes and alleles, even those belonging to clustered multigene families. Based on these findings, we envision that HRM is capable to interrogate and quantify gene- and allele-specific variations due to differential regulation of gene expression.

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The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Professor > Associate Professor 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 71%
Environmental Science 1 14%
Immunology and Microbiology 1 14%
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 05 July 2012.
All research outputs
#18,309,495
of 22,669,724 outputs
Outputs from Immunogenetics
#1,028
of 1,201 outputs
Outputs of similar age
#125,954
of 163,718 outputs
Outputs of similar age from Immunogenetics
#3
of 5 outputs
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