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 · 32 mutual co-author links8 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.
- ImmunologyNaturePeer-reviewed
Broadly inhibitory antibodies against severe malaria virulence proteins
Raphael A. Reyes, Sai Sundar Rajan Raghavan, Nicholas K. Hurlburt…·Thomas Lavstsen
The paper identifies two human monoclonal antibodies that broadly inhibit PfEMP1's binding to EPCR, a key process in severe malaria pathogenesis.
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