Please note that the Zoom link for this seminar is different than usual.

• Meeting ID: 829 1426 4706
• Passcode: 401642

13h00 - 13h50 – Vincent Deman (Univ Paris Saclay)

Mechanistic insights into vaccine-induced innate immune responses from integrating prior knowledge and experimental data with Boolean models

Researchers have studied complex biological systems for decades, developing models to understand and modulate their dynamics. The Boolean modeling formalism simplifies these systems by focusing on their qualitative changes. We designed a computational methodology to build and analyze Boolean networks based on a combination of existing knowledge and experimental data. We applied it to Modified Vaccinia Ankara (MVA) vaccine-induced responses and obtained a network that closely matched experimental observations, including in unseen perturbed conditions, thereby asserting the legitimacy of our approach. By comparing the Boolean networks of the MVA-induced versus the vaccination gold standard YF17D-induced responses, we identified targets for improving the MVA’s immunogenicity. Our methodology demonstrates the applicability and usefulness of the Boolean formalism for systems vaccinology, addressing the underlying biological complexity despite limited sample sizes and diverse data.

Dernière modification le 07/03/2025