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Characterisation of MHC haplotypes in a breeding colony of Indonesian cynomolgus macaques reveals a high level of diversity

Overview of attention for article published in Immunogenetics, September 2011
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Title
Characterisation of MHC haplotypes in a breeding colony of Indonesian cynomolgus macaques reveals a high level of diversity
Published in
Immunogenetics, September 2011
DOI 10.1007/s00251-011-0567-z
Pubmed ID
Authors

Jane L. Mitchell, Edward T. Mee, Neil M. Almond, Keith Cutler, Nicola J. Rose

Abstract

Recent reports have revealed that cynomolgus macaques obtained from different geographic origins may be more or less suitable for particular studies depending on the specific question(s) being addressed, e.g. Mauritian cynomolgus macaques are particularly suitable for detailed immunological studies against a limited genetic background while less conserved populations may be more appropriate to predict breadth of vaccine coverage in the genetically diverse human population. We have characterised MHC haplotypes in 90 Indonesian cynomolgus macaques using microsatellite and reference strand conformational analysis. Thirty unique haplotypes were defined in the cohort, emphasising the high degree of diversity in this population of cynomolgus macaques. The majority of haplotypes were present at a frequency of ≤ 6%. Transcription profiles indicated that each haplotype was associated with two to eight transcribed class I alleles. The results corroborate previous reports of the extensive MHC diversity of Indonesian cynomolgus macaques and provide additional data to inform colony management decisions. Further, definition of the MHC diversity of the population satisfies one of the prerequisites to MHC association studies and detailed immunological investigations in this outbred non-human primate species.

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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 %
Malaysia 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Master 5 17%
Student > Ph. D. Student 4 14%
Student > Bachelor 3 10%
Unspecified 2 7%
Other 5 17%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 34%
Medicine and Dentistry 4 14%
Unspecified 2 7%
Environmental Science 2 7%
Engineering 2 7%
Other 5 17%
Unknown 4 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 03 September 2011.
All research outputs
#18,295,723
of 22,651,245 outputs
Outputs from Immunogenetics
#1,026
of 1,200 outputs
Outputs of similar age
#103,012
of 124,990 outputs
Outputs of similar age from Immunogenetics
#5
of 6 outputs
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