Sara Silva Pereira

Years Active: 2018-2022
Publications (10 Years): 5

Instituto de Medicina Molecular

University of Liverpool (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Instituto de Medicina Molecular Oct 01 2018

Portugal

Post-doctoral Investigator

University of Liverpool Sep 01 2017 - Sep 30 2018

United Kingdom

Research Associate :: Infection Biology

London School of Hygiene & Tropical Medicine

United Kingdom

Research intern :: Prof Michael Miles Laboratory

Education History

University of Liverpool Aug 01 2014 - Jun 04 2018

United Kingdom

PHD :: Infection Biology

King's College London Sep 20 2010 - Jun 06 2014

United Kingdom

BSC

Publications

Sara Silva Pereira, Mariana De Niz, Karine Serre, Marie Ouarné, Joana E Coelho, Claudio Areias Franco, Luisa Miranda Figueiredo
Immunopathology and Trypanosoma congolense parasite sequestration cause acute cerebral trypanosomiasis. eLife 11 (2022)
Sara Silva Pereira, Kawira Mathenge, Daniel Masiga, Andrew Jackson
Transcriptomic profiling of Trypanosoma congolense mouthpart parasites from naturally infected flies. Parasites & vectors 15 (1) (2022)
Sara Silva Pereira, Kayo J G de Almeida Castilho Neto, Craig W Duffy, Peter Richards, Harry Noyes, Moses Ogugo, Marcos Rogério André, Zakaria Bengaly, Steve Kemp, Marta M G Teixeira, Rosangela Z Machado, Andrew P Jackson
Variant antigen diversity in Trypanosoma vivax is not driven by recombination. Nature communications 11 (1) (2020)
Sara Silva Pereira, Andrew P Jackson
UDP-glycosyltransferase genes in trypanosomatid genomes have diversified independently to meet the distinct developmental needs of parasite adaptations. BMC evolutionary biology 18 (1) (2018)
Sara Silva Pereira, Aitor Casas-Sanchez, Lee R Haines, Moses Ogugo, Kihara Absolomon, Mandy Sanders, Steve Kemp, Álvaro Acosta-Serrano, Harry Noyes, Matthew Berriman, Andrew P Jackson
Variant antigen repertoires in Trypanosoma congolense populations and experimental infections can be profiled from deep sequence data using universal protein motifs. Genome research 28 (9) (2018)

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