Abstract
Disentangling the complex reticular components of the immune system represents an obstacle to a deep understanding of the interactions underpinning immune responses. The solution to this challenge likely lies in a systemic design that can illuminate emerging unique and shared biomarkers. However, thus far, the potential of fully integrated immunological data has remained largely untapped. By leveraging an unprecedentedly large cohort for the field, we aim to bridge the gap and build a framework for multi-view biological data fusion with a focus on the often overlooked T cell layer. The views of each cohort will be combined into a latent space. We will group individuals based on emerging new patterns, validate previously published biomarkers, deconvolute group parameters and perform response phenotyping. We will then overlay the T-cell receptor level on this space in an innovative integration to focus on the cellular mediated response. Informed by the discovered features, the T cell analysis will then be driven by epitope and disease specificity and compounded by a longitudinal aspect, to guide the development of the framework's modules. We foresee that this novel framework has great potential for transversal applicability within bioinformatics, biomedical and pharmaceutical companies. Specifically, we anticipate this framework could spark a paradigm shift towards more informed holistic therapeutics designs.
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