ArticleProceedings. Biological sciences2013
Linking the antigen archive structure to pathogen fitness in African trypanosomes.
Article in Proceedings. Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Slow growing behavior in African trypanosomes during adipose tissue colonization.Nature communications · 2022Article
- Emerging challenges in understanding trypanosome antigenic variation.Emerging topics in life sciences · 2017Article
- The within-host dynamics of African trypanosome infections.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Review
- The in vivo dynamics of antigenic variation in Trypanosoma brucei.Science (New York, N.Y.) · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Systems that generate antigenic variation enable pathogens to evade host immune responses and are intricately interwoven with major pathogen traits, such as host choice, growth, virulence and transmission. Although much is understood about antigen switching at the molecular level, little is known about the cross-scale links between these molecular processes and the larger-scale within and between host population dynamics that they must ultimately drive. Inspired by the antigenic variation system of African trypanosomes, we apply modelling approaches to our expanding understanding of the organization and expression of antigen repertoires, and explore links across these scales. We predict how pathogen population processes are determined by underlying molecular genetics and infer resulting selective pressures on important emergent repertoire traits.
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Registered trials
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