bioRxiv Science⌕ Search

Biology subjects

Martinez-Sanchez, M. E.

Publications and source records attributed to Martinez-Sanchez, M. E..

2 recordsLinked to original sources

Inside-out Signalling From Aminopeptidase N (CD13) To Complement Receptor 3 (CR3, CD11b/CD18)

Upon ligand engagement, certain receptors can activate an integrin through a mechanism called inside-out signalling. This phenomenon prepares the cell for the next steps of the process it will perform. CR3 (Complement receptor 3), the most abundant {beta}2 integrin in monocytes and macrophages, and CD13 (aminopeptidase N) are two immune receptors with overlapping activities: adhesion, phagocytosis of opsonized particles, and respiratory burst induction. They can be found together in functional signalling microdomains, or lipid rafts, on the surface of human leukocytes. Thus, given their common functions, shared physical location and the fact that some phagocytic and adhesion receptors activate a selection of integrins, we hypothesized that CD13 could activate CR3 through an inside-out signalling mechanism. To test this hypothesis, we first ascertained the activation of CR3 after CD13 crosslinking in human monocyte-derived macrophages. We used an integrated analysis of bioinformatics and experimental data to suggest two possible signalling cascades that could explain the phenomenon. Finally, we show that the non-receptor tyrosine kinase Syk is a key attenuator of this pathway. Our results demonstrated that, even in the absence of canonical signalling motifs, and despite having a noticeably short cytoplasmic tail (7-10 amino acids), CD13 was capable of triggering an inside-out signalling cascade, adding a new function to those already known for this moonlighting protein. One Sentence SummaryStimulation of CD13 activated the integrin CR3 via an inside-out signalling pathway, a mechanistic model is proposed.

immunology↗

A quantitative network modeling approach to evaluate the role of cytokine combinations on CD4+ T cell differentiation, partial polarization, and plasticity

Diverse cellular polarization states with different phenotypes and functions are derived from the differentiation of activated CD4+ T naive lymphocytes in the presence of particular cytokines. In addition, conversion of polarized cells to phenotypes different from that originally induced has been documented, highlighting the capacity of the immune response for adaptation to changing circumstances. In a recent study, we proposed a minimal Boolean regulatory network of CD4+ T differentiation that incorporates transcription factors, signaling pathways, and autocrine and exogenous cytokines. The qualitative model effectively reproduced the main polarized phenotypes of CD4+ T cells and several of the plasticity events reported in the literature. Yet, the amount and the expression of cytokines relative to expression of other factors influence CD4+ T cell transitions. In this paper, we have extended the Boolean network to a continuous model that allows us to assess the effect of quantitative differences in the concentrations and combinations of exogenous and endogenous cytokines, as well as diverse levels of transcription factors expression, in order to assess the role of intracellular and extracellular components in CD4+ T differentiation and plasticity. Interestingly, the model predicts either abrupt or gradual differentiation patterns between observed phenotypes depending on critical concentrations of single or multiple environmental cytokines. Plastic changes induced by environmental cytokines were observed in conditions of partial phenotype polarization in the Th1/Th2 transition. On the other hand, the Th17/iTreg transition was highly dependent on cytokine concentrations in the environment. Thus, modeling shows how the concentration of exogenous factors, the degree of initial polarization, and cell heterogeneity, may determine the differentiation and plasticity capacity of CD4+ T cells. The model and results presented here are useful to further understand system-level mechanisms underlying observed patterns of CD4+ T differentiation and plasticity.

systems biology↗