Author
Margaret E. Feeney
University of California, San FranciscoORCID 0000-0002-2515-2989Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2024-2026 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 36 mutual co-author links7 papers
Recent·Most cited
- ImmunologybioRxivPreprint
Circulating T-follicular helper and type I regulatory T cells have overlapping phenotypes in P. falciparum malaria and are maintained by parasite exposure.
Mayimuna Nalubega, Damian A. Oyong, Dean W. Andrew…·Michelle J. Boyle
The paper characterizes malaria-specific Tfh and Tr1 cells in a longitudinal cohort, finding overlapping phenotypes and showing their decline after transmission interruption.
- ImmunologybioRxivPreprint
Maternal malaria and early-life infections shape humoral immunity to P. falciparum in infants
Felistas Nankya, Florian A. Bach, Kathleen D. Press…·Prasanna Jagannathan
The paper examines how maternal malaria and early-life infections affect P. falciparum-specific antibody responses in infants, finding no protective association between maternal antibodies or early infections and clinical malaria.
DOI 10.64898/2026.02.13.705422 - ImmunologybioRxivPreprint
Congenital CMV infection drives oligoclonal expansion of cytotoxic γδ T cells from early fetal progenitors
Justine Levan, Anna V. Vaaben, Jessica Tsui…·Margaret E. Feeney
The paper shows congenital CMV infection leads to oligoclonal expansion of cytotoxic γδ T cells with fetal-like TCR features in neonates.
DOI 10.1101/2025.11.20.689355 - ImmunologybioRxivPreprint
Inhibitory NK receptors regulate the γδ T cell response to malaria
Meagan E. Olive, Perri C. Callaway, Mikias Ilala…·Margaret E. Feeney
The paper examines inhibitory NK receptors on γδ T cells in Ugandan children, finding that some enhance and others reduce antimalarial responses to repeated infections.
1 citation - BioinformaticsbioRxivPreprint
Learned Geometry, Predicted Binding: Structurally-BasedPrediction of Peptide:MHC Binding Using AlphaFold 3 EnablesCD4 T Cell Epitope Prediction
Kamel Lahouel, Mete Mulazimoglu, Jorge Soria‐Bustos…·Cristian Tomasetti
The paper introduces MHCIIFold-GNN, a method combining structural modeling and graph neural networks to predict CD4 T cell epitopes, achieving state-of-the-art performance.
1 citation - ImmunologyPLoS PathogensPeer-reviewed
Differences in phenotype between long-lived memory B cells against Plasmodium falciparum merozoite antigens and variant surface antigens
Raphael A. Reyes, Louise Turner, Isaac Ssewanyana…·Evelien M. Bunnik
3 citations