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Cytotoxic T lymphocytes from cattle sharing the same MHC class I haplotype and immunized with live Theileria parva sporozoites differ in antigenic specificity

Overview of attention for article published in BMC Research Notes, January 2018
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Title
Cytotoxic T lymphocytes from cattle sharing the same MHC class I haplotype and immunized with live Theileria parva sporozoites differ in antigenic specificity
Published in
BMC Research Notes, January 2018
DOI 10.1186/s13104-018-3145-8
Pubmed ID
Authors

Lucilla Steinaa, Nicholas Svitek, Elias Awino, Rosemary Saya, Philip Toye

Abstract

The objective of this study was to assess whether cytotoxic T cells (CTL) generated by the live vaccine, known as "ITM Muguga cocktail", which is used for the cattle disease East Cost fever (ECF) in Sub-Saharan Africa, showed a broad reactivity against many different strains of the causative parasite Theileria parva. We also assessed whether immune responses were similar in cattle expressing the same MHC class I haplotypes. The antigenic specificity of CTL from MHC class I-matched cattle vaccinated with the Muguga cocktail were different. Three cattle of MHC class I haplotype A18, one A18/A19 and two haploidentical (A18v/A12) animals, showed differential recognition of autologous cells infected with a panel of T. parva isolates. This could have implications in the field where certain strains could break through the vaccine. Furthermore, neither of the haploidentical cattle recognized the CTL epitope (Tp1214-224), presented by the A18 haplotype, in contrast to the third animal, showing differences in immunodominance in animals of the same haplotype A18. This suggests that the CTL specificities following immunization with the Muguga cocktail can vary even between haploidentical individuals and that some parasite strains may break through immunity generated by the Muguga cocktail.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Ph. D. Student 3 19%
Professor 1 6%
Lecturer > Senior Lecturer 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 4 25%
Immunology and Microbiology 2 13%
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Nursing and Health Professions 1 6%
Other 2 13%
Unknown 4 25%
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 15 September 2019.
All research outputs
#20,485,225
of 23,047,237 outputs
Outputs from BMC Research Notes
#3,581
of 4,284 outputs
Outputs of similar age
#378,796
of 441,963 outputs
Outputs of similar age from BMC Research Notes
#125
of 155 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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