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A single-nucleotide-polymorphism real-time PCR assay for genotyping of Mycobacterium tuberculosis complex in peri-urban Kampala

Overview of attention for article published in BMC Infectious Diseases, September 2015
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Title
A single-nucleotide-polymorphism real-time PCR assay for genotyping of Mycobacterium tuberculosis complex in peri-urban Kampala
Published in
BMC Infectious Diseases, September 2015
DOI 10.1186/s12879-015-1121-7
Pubmed ID
Authors

Eddie M. Wampande, Stavroula K. Hatzios, Beatrice Achan, Ezekiel Mupere, Mary Nsereko, Harriet K. Mayanja, Kathleen Eisenach, W Henry Boom, Sebastien Gagneux, Moses L. Joloba, For the Tuberculosis Research Unit

Abstract

Accurate and high-throughput genotyping of Mycobacterium tuberculosis complex (MTBC) may be important for understanding the epidemiology and pathogenesis of tuberculosis (TB). In this study, we report the development of a LightCycler® real-time PCR single-nucleotide-polymorphism (LRPS) assay for the rapid determination of MTBC lineages/sublineages in minimally processed sputum samples from TB patients. Genotyping analysis of 70 MTBC strains was performed using the Long Sequence Polymorphism-PCR (LSP-PCR) technique and the LRPS assay in parallel. For targeted sequencing, 9 MTBC isolates (three isolates per MTBC lineage) were analyzed for lineage-specific single nucleotide polymorphisms (SNPs) in the following three genes to verify LRPS results: Rv004c for MTB Uganda family, Rv2962 for MTB lineage 4, and Rv0129c for MTB lineage 3. The MTBC lineages present in 300 smear-positive sputum samples were then determined by the validated LRPS method without prior culturing. The LSP-PCR and LRPS assays produced consistent genotyping data for all 70 MTBC strains; however, the LSP-PCR assay was 10-fold less sensitive than the LRPS method and required higher DNA concentrations to successfully characterize the MTBC lineage of certain samples. Targeted sequencing of genes containing lineage-specific SNPs was 100 % concordant with the genotyping results and provided further validation of the LRPS assay. Of the 300 sputum samples analyzed, 58 % contained MTBC from the MTBC-Uganda family, 27 % from the MTBC lineage 4 (excluding MTBC Uganda family), 13 % from the MTBC lineage 3, and the remaining 2 % were of indeterminate lineage. The LRPS assay is a sensitive, high-throughput technique with potential application to routine genotyping of MTBC in sputum samples from TB patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Master 8 18%
Student > Bachelor 4 9%
Student > Ph. D. Student 4 9%
Other 1 2%
Other 3 7%
Unknown 15 33%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Immunology and Microbiology 5 11%
Agricultural and Biological Sciences 4 9%
Biochemistry, Genetics and Molecular Biology 4 9%
Nursing and Health Professions 2 4%
Other 2 4%
Unknown 17 38%
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 October 2015.
All research outputs
#15,348,067
of 22,829,683 outputs
Outputs from BMC Infectious Diseases
#4,465
of 7,677 outputs
Outputs of similar age
#160,528
of 274,274 outputs
Outputs of similar age from BMC Infectious Diseases
#114
of 172 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,677 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 274,274 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.