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Colin A. Russell
Researcher at University of Amsterdam
Publications - 109
Citations - 10014
Colin A. Russell is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Virus & Influenza A virus. The author has an hindex of 39, co-authored 89 publications receiving 8491 citations. Previous affiliations of Colin A. Russell include National Institutes of Health & University of Cambridge.
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Journal ArticleDOI
Individual immune selection pressure has limited impact on seasonal influenza virus evolution.
TL;DR: An analysis of 25,000 human seasonal influenza virus sequences reveals no distinguishable mutational patterns across individuals with different immune histories, suggesting a limited role of individual immune positive selection in the evolution of seasonal influenza viruses.
Journal ArticleDOI
Influenza B vaccine lineage selection—An optimized trivalent vaccine
Ana Mosterín Höpping,Judith M. Fonville,Judith M. Fonville,Colin A. Russell,Sarah James,Derek J. Smith +5 more
TL;DR: It is shown that some of the benefit of transferring to a quadrivalent vaccine can be captured without the cost of moving to a Quadrivalent Vaccine with an improved trivalent vaccine lineage selection approach.
Journal ArticleDOI
Combined influence of B-cell receptor rearrangement and somatic hypermutation on B-cell class-switch fate in health and in chronic lymphocytic leukemia
Velislava N. Petrova,Luke Muir,Paul F. McKay,George S. Vassiliou,Kenneth G. C. Smith,Paul A. Lyons,Colin A. Russell,Carl A. Anderson,Paul Kellam,Rachael Bashford-Rogers +9 more
TL;DR: It is demonstrated that BCR diversity is affected by relationships between antibody variable and constant regions leading to isotype-specific signatures of variable gene usage, which provides powerful insights into the mechanisms underlying the evolution of the adaptive immune responses in health and their aberration during disease.
Journal ArticleDOI
Inferring putative transmission clusters with Phydelity.
TL;DR: Applying Phydelity to empirical datasets of hepatitis B and C virus infections showed that PhydElity identified clusters with better correspondence to individuals that are more likely to be linked by transmission events relative to other widely used non-parametric phylogenetic clustering methods without the need for parameter calibration.
Posted ContentDOI
Serologic Surveillance and Phylogenetic Analysis of SARS-CoV-2 Infection in Hospital Health Care Workers
Jonne J. Sikkens,David T P Buis,Edgar J G Peters,Mireille Dekker,Michiel Schinkel,Tom D Y Reijnders,Alex R. Schuurman,Justin de Brabander,A.H. Ayesha Lavell,Jaap Maas,Jelle Koopsen,Alvin X. Han,Colin A. Russell,Janke Schinkel,Marcel Jonges,Sébastien Matamoros,Suzanne Jurriaans,Rosa van Mansfeld,W. Joost Wiersinga,Yvo M. Smulders,Menno D. de Jong,Marije K. Bomers +21 more
TL;DR: In this article, the authors compared SARS-CoV-2 incidence between health care workers (HCW) working in Covid-19 patient care, HCW working in non-Covid 19 patient care and HCW not in patient care.