Variability of CD3 membrane expression and T cell activation capacity

Abstract

Background: abT cells have a wide distribution of CD3 membrane density. The aim of this article was to evaluate the significance of the CD3 differential expression on T cell subsets. Analysis was performed on healthy donors and renal transplant patients by flow cytometry. The results obtained are: (1) CD3 expression was widely distributed (CV 5 38.3 6 3.1 to 43 6 2.3%). (2) The CD4, CD8, CD45 and forward scatter were similarly distributed. (3) The diversity of CD3 expression was directly related to the clonotypes: c9, non c9 from cdT cells and Vb clonotype from abT cells (e.g., Vb3FITC 7,980 6 1,628 Vb8PE: Vb20-FITC 11,768 6 1,510). (4) Using a computer simulation, we could confirm differential kinetics of T cell activation according to the initial parameters. Finally, in vitro activation was significantly higher on Vb8 and Vb9 (high CD3) compared with Vb2 and Vb3 (low CD3, P 5 0.040-0.0003).

Heterogeneous CD3 Expression Levels in Differing T Cell Subsets Correlate with the In Vivo Anti-CD3–Mediated T Cell Modulation

“…They showed that human CD8 + T cells express the lowest amounts of CD3 and TCRgd + T cells express the highest amounts. However, these previous studies did not report that CD3 heterogeneity determined biologically significant outcomes either in vitro or in vivo (15,16 (34). A parallel and associated finding was that Th17 T cell clones responded less to in vitro TCR stimulation than did Th1 T cell clones (34).…”

“…To our knowledge, our present study investigated a critical issue with depth: we tested both mouse and human samples; we examined a wide range of T cell subsets; and, perhaps most importantly, we used an unbiased approach for flow cytometry data analysis. Differences in CD3 expression on human CD4 + , CD8 + , and TCRgd + T cell subsets were described for the first time by the groups of Lambert and Genin (15) and El Hentati et al (16). They showed that human CD8 + T cells express the lowest amounts of CD3 and TCRgd + T cells express the highest amounts.…”

“…Previous studies on differential CD3 expression in the various T cell subsets have provided fragmented evidence (15,16). To our knowledge, our present study investigated a critical issue with depth: we tested both mouse and human samples; we examined a wide range of T cell subsets; and, perhaps most importantly, we used an unbiased approach for flow cytometry data analysis.…”

“…During the last 10 y, Lambert and Genin (15) and El Hentati et al (16) (17). The present study sought to: 1) define, by means of unsupervised analysis of flow cytometry data, whether CD3 heterogeneous expression levels occur in T cell subsets isolated from mice and humans; and 2) evaluate the biological impact of CD3 expression heterogeneity on anti-CD3 treatment in vivo.…”

Population balances in case of crossing characteristic curves: Application to T‐cells immune response

“…[15][16][17][18] These models were cast as ordinary differential equations by representing the kinetics of the biochemical reactions. [19][20][21][22] A more sophisticated approach considers the dynamics of cell population, where each cell is characterized by the concentration of one or several proteins. This leads to a multi-dimensional population balance equation with the order depending upon the number of internal variables (protein concentrations).…”