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High-throughput identification of T-lymphocyte antigens from Anaplasma marginale expressed using in vitro transcription and translation

Overview of attention for article published in Journal of Immunological Methods, January 2008
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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mendeley
37 Mendeley
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Article details
Title
High-throughput identification of T-lymphocyte antigens from Anaplasma marginale expressed using in vitro transcription and translation
Published in
Journal of Immunological Methods, January 2008
DOI 10.1016/j.jim.2007.12.018
Pubmed ID
Authors
Abstract

The ability to rapidly screen a complex pathogen proteome for proteins that elicit recall T-lymphocyte responses from immune individuals would accelerate vaccine development. An outer membrane fraction of the rickettsial pathogen Anaplasma marginale induces protective immunity against infection and disease in cattle. We have used this immunization model to evaluate high-throughput screening of proteins expressed by in vitro transcription and translation (IVTT) for recognition by memory CD4(+) T-lymphocytes. Fifty selected vaccine candidate antigens identified from the A. marginale genome were expressed from transcriptionally active PCR products using an Escherichia coli-based IVTT system, and bead-affinity purified using antibodies to His and FLAG epitope tags. IVTT-expressed bead-bound antigens were processed and presented by antigen presenting cells to T-lymphocytes from outer membrane immunized animals and evaluated for immunogenicity in proliferation assays. Antigens that consistently stimulated responses were known T-cell antigens major surface protein (MSP)2, MSP3, VirB9, and VirB10 and newly identified T-cell antigens outer membrane protein (OMP)4, OMP9, elongation factor-Tu, Ana29, and OMA87. Specific T-cell stimulation was achieved even at low antigen concentration, and was highly sensitive when compared with unbound IVTT reaction products. This method allows rapid expression and identification of T-lymphocyte antigens for any pathogen for which the genome sequence is available.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 5%
Netherlands 1 3%
Mexico 1 3%
Japan 1 3%
Unknown 32 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 7 19%
Researcher 6 16%
Student > Doctoral Student 4 11%
Student > Ph. D. Student 4 11%
Other 3 8%
Other 7 19%
Unknown 6 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 10 27%
Veterinary Science and Veterinary Medicine 7 19%
Medicine and Dentistry 3 8%
Immunology and Microbiology 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 3 8%
Unknown 11 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 16 July 2019.
All research outputs
#5,799,672
of 29,686,237 outputs
Outputs from Journal of Immunological Methods
#868
of 4,889 outputs
Outputs of similar age
#26,541
of 194,512 outputs
Outputs of similar age from Journal of Immunological Methods
#9
of 29 outputs
Altmetric has tracked 29,686,237 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,889 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 194,512 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.