Some thoughts on the ontogenesis in B-cell immune networks
Adriano Barra, Silvio Franz, Thiago Sabetta

TL;DR
This paper models B-cell immune network development using statistical mechanics, highlighting how ontogenesis influences self-tolerance and network connectivity, and demonstrating the emergence of anergy through numerical simulations.
Contribution
It introduces a thermodynamical framework combining ontogenesis and self-regulation in B-cell networks, emphasizing the role of negative selection in immune tolerance.
Findings
Self-reactive lymphocytes are eliminated during ontogenesis.
The model reproduces anergy in mature B-cell networks.
Connectivity distribution variance increases due to negative selection.
Abstract
We are interested in modeling theoretical immunology within a statistical mechanics flavor: focusing on the antigen-independent maturation process of B-cells, in this paper we try to revise the problem of self vs non-self discrimination by mature B lymphocytes. We consider only B lymphocytes: despite this is of course an oversimplification, however such a toy model may help to highlight features of their interactions otherwise shadowed by main driven mechanisms due to i.e. helper T-cell signalling. By analyzing possible influences of the ontogenesis of the immune system on the final behavior of B lymphocytes, we try to merge over the purely negative selection mechanism at their birth with the adult self-regulation process. The final goal is a "thermodynamical picture" by which both the scenarios can exist and, actually, be synergically complementary: Trough numerical simulations we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGene Regulatory Network Analysis · T-cell and B-cell Immunology · Artificial Immune Systems Applications
