Recommended Reads from the FAIS Council Members - FAIS Africa

Members of the FAIS Council share recent articles they found impactful, innovative, or essential to the advancement of immunology in Africa and beyond. Explore the latest recommendations below and stay inspired by the research shaping our field!

Justin Komguep Nono

CENTRAL AFRICA REGIONAL REPRESENTATIVE

✍️ Guidelines for T cell nomenclature. David Masopust, et al. 2025 – Nature Reviews Immunology Journal

📘https://doi.org/10.1038/s41577-025-01238-2

💡 The article defines a new consensus for naming T cells — proposing clear, standardized subset definitions and a flexible “modular nomenclature” based on biological features, to improve clarity and consistency in immunology research.

Tomabu Adjobimey

WESTERN AFRICA REGIONAL REPRESENTATIVE

✍️ Deep learning in next-generation vaccine development for infectious diseases. Bhattacharya, et al. 2025 – Mol. Therapy: Nucleic Acids, 36. Journal.

📘 https://doi.org/10.1016/j.omtn.2025.102586

💡Tomabu’s recommendation: “This comprehensive review provides an insightful overview of how deep learning is reshaping modern vaccine development, from computational epitope prediction to the design and characterization of multi-epitope vaccine constructs. It highlights the evolution from classical immunoinformatic to integrated AI-driven frameworks and shows how deep learning accelerates and improves next-generation vaccine design. I believe this perspective is timely and highly relevant to our community, especially given the growing intersection between immunology, computational biology, and global health.”

Theresa Rossouw

TREASURER

✍️ Characterisation of human in vitro tumour-associated macrophage models to define translational relevance. Dyer, A., Dudley, R., Ahuja, S. et al. 2025 – Scientific Reports Journal

📘https://doi.org/10.1038/s41598-025-30224-w

💡The article describes how the authors developed and characterised improved human in vitro tumour-associated macrophage (TAM) models, showing which tumour-conditioned media and patient-derived fluids can induce suppression-like macrophage phenotypes, thereby providing more translationally relevant TAM systems for cancer immunology research.