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Cellular & Molecular Immunology|June 21, 2023
Mannosylated glycans impair normal T-cell development by reprogramming commitment and repertoire diversityManuel M Vicente, Inês Alves, Ângela Fernandes, et al.
Arthritis & Rheumatology (Hoboken, N.J.)|April 21, 2021
Protein Mannosylation as a Diagnostic and Prognostic Biomarker of Lupus Nephritis: An Unusual Glycan Neoepitope in Systemic Lupus ErythematosusInês Alves, Beatriz Santos-Pereira, Hans Dalebout, et al.
Science Translational Medicine|March 15, 2023
Host-derived mannose glycans trigger a pathogenic γδ T cell/IL-17a axis in autoimmunityInês Alves, Beatriz Santos-Pereira, Noelia de la Cruz, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society|February 1, 2024
A multivalent CD44 glycoconjugate vaccine candidate for cancer immunotherapyRui Freitas, Andreia Miranda, Dylan Ferreira, et al.
Advances in Rheumatology (London, England)|July 2, 2024
Referrals for rheumatologic evaluation following a positive antinuclear antibody test result. A cross-sectional single center Brazilian studyLeonardo Borgato Della Vecchia, Caio Delano Campos Oliveira Assis, Fernando de Oliveira Salatiel, et al.
Journal of Clinical Rheumatology : Practical Reports on Rheumatic & Musculoskeletal Diseases|February 12, 2020
Epidemiologic Features of Systemic Vasculitides in the Southeast Region of Brazil: Hospital-Based SurveyJoice Moraes Faria Monteiro Belem, Rosa Maria Rodrigues Pereira, Mariana Ortega Perez, et al.
PLOS Global Public Health|April 13, 2026
Knowledge, acceptability, and attitudes regarding minimally invasive tissue sampling (MITS) techniques in BrazilLivia Mendes Almeida, Deborah Nunes Melo, Pedro Mansueto Melo de Souza, et al.
Viruses|July 29, 2023
SARS-CoV-2 Infection in Cities from the Southern Region of Bahia State, Brazil: Analysis of Variables Associated in Both Individual and Community LevelMurillo Ferreira da Silva, Uener Ribeiro Dos Santos, Fabrício Barbosa Ferreira, et al.
Frontiers in Cellular and Infection Microbiology|June 15, 2026
Harnessing interpretable deep learning to predict resistance in <i>Klebsiella pneumoniae</i>Nicolas da Matta Freire Araujo, Márcia da Silva Chagas, Mateus Fernandes Santos, et al.
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