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Rob J de Boer

Publications and source records attributed to Rob J de Boer.

10 recordsLinked to original sources

The effects of age, thymectomy, and HIV Infection on alpha and beta TCR excision circles in naive T cells.

Due to homeostasis total naive T cell numbers remain fairly constant over life despite a gradual involution of the thymus. The contribution of the thymus to maintaining naive T cell pools is typically measured with TCR excision circles (TRECs) that are formed in thymocytes. The mechanisms underlying thymic involution are poorly understood. Some data suggest that thymocytes undergo fewer divisions in old (small) than young (large) thymi, and other data suggest that the number of TRECs per thymocyte is independent of age. If thymic involution were associated with a decreased number of divisions of the thymocytes, this would markedly complicate the interpretation of TREC data. To study this we develop a mathematical model in which the division rate of thymocytes decreases with increasing age. We describe the dilution of TRECs formed during the arrangement of both chains of the TCR by division of thymocytes, recent thymic emigrants, and mature naive T cells. The model behavior is complicated as TREC contents in naive T cells can increase with age due to decreased dilution in the thymus. Because our model is consistent with current data on the effects of age and thymectomy on TRECs in peripheral T cells, we conclude that aging may well affect thymocyte division, which markedly complicates the interpretation of TREC data. It is possible, but more difficult, to let the model be consistent with the rapid changes in alpha and beta TRECs observed shortly after HIV infection.

Age Factors↗

A mathematical model of protein degradation by the proteasome.

The proteasome is the major protease for intracellular protein degradation. The influx rate of protein substrates and the exit rate of the fragments/products are regulated by the size of the axial channels. Opening the channels is known to increase the overall degradation rate and to change the length distribution of fragments. We develop a mathematical model with a flux that depends on the gate size and a phenomenological cleavage mechanism. The model has Michaelis-Menten kinetics with a V(max) that is inversely related to the length of the substrate, as observed in the in vitro experiments. We study the distribution of fragment lengths assuming that proteasomal cleavage takes place at a preferred distance from the ends of a protein fragment, and find multipeaked fragment length distributions similar to those found experimentally. Opening the gates in the model increases the degradation rate, increases the average length of the fragments, and increases the peak in the distribution around a length of 8-10 amino acids. This behavior is also observed in immunoproteasomes equipped with PA28. Finally, we study the effect of re-entry of processed fragments in the degradation kinetics and conclude that re-entry is only expected to affect the cleavage dynamics when short fragments enter the proteasome much faster than the original substrate. In summary, the model proposed in this study captures the known characteristics of proteasomal degradation, and can therefore help to quantify MHC class I antigen processing and presentation.

Antigen Presentation↗

Quantifying cell turnover using CFSE data.

The CFSE dye dilution assay is widely used to determine the number of divisions a given CFSE labelled cell has undergone in vitro and in vivo. In this paper, we consider how the data obtained with the use of CFSE (CFSE data) can be used to estimate the parameters determining cell division and death. For a homogeneous cell population (i.e., a population with the parameters for cell division and death being independent of time and the number of divisions cells have undergone), we consider a specific biologically based "Smith-Martin" model of cell turnover and analyze three different techniques for estimation of its parameters: direct fitting, indirect fitting and rescaling method. We find that using only CFSE data, the duration of the division phase (i.e., approximately the S+G2+M phase of the cell cycle) can be estimated with the use of either technique. In some cases, the average division or cell cycle time can be estimated using the direct fitting of the model solution to the data or by using the Gett-Hodgkin method [Gett A. and Hodgkin, P. 2000. A cellular calculus for signal integration by T cells. Nat. Immunol. 1:239-244]. Estimation of the death rates during commitment to division (i.e., approximately the G1 phase of the cell cycle) and during the division phase may not be feasible with the use of only CFSE data. We propose that measuring an additional parameter, the fraction of cells in division, may allow estimation of all model parameters including the death rates during different stages of the cell cycle.

Algorithms↗

Establishment of the CD4+ T-cell pool in healthy children and untreated children infected with HIV-1.

Current understanding of how the T-cell pool is established in children and how this is affected by HIV infection is limited. It is widely believed that the thymus is the main source for T cells during childhood. Here we show, however, that healthy children had an age-related increase in total body numbers of naive and memory T cells, whereas absolute numbers of T-cell receptor excision circles (TRECs) did not increase. This suggests that expansion of the naive T-cell pool after birth is more dependent on T-cell proliferation than was previously recognized. Indeed, the proportion of dividing naive T cells was high, especially in younger children, which is consistent with expansion through proliferation, in addition to antigen-mediated naive T-cell activation leading to formation of the memory T-cell pool. In untreated children infected with HIV-1, total body numbers of T cells and TRECs were low and stable, whereas T-cell division levels were significantly higher than in healthy children. We postulate that in children infected with HIV, similar to adults infected with HIV, continuous activation of naive T cells leads to erosion of the naive T-cell pool and may be a major factor in lowering CD4(+) T-cell numbers.

Adolescent↗

Discriminating self from nonself with short peptides from large proteomes.

We studied whether the peptides of nine amino acids (9-mers) that are typically used in MHC class I presentation are sufficiently unique for self:nonself discrimination. The human proteome contains 28,783 proteins, comprising 10(7) distinct 9-mers. Enumerating distinct 9-mers for a variety of microorganisms we found that the average overlap, i.e., the probability that a foreign peptide also occurs in the human self, is about 0.2%. This self:nonself overlap increased when shorter peptides were used, e.g., was 30% for 6-mers and 3% for 7-mers. Predicting all 9-mers that are expected to be cleaved by the immunoproteasome and to be translocated by TAP, we find that about 25% of the self and the nonself 9-mers are processed successfully. For the HLA-A*0201 and HLA-A*0204 alleles, we predicted which of the processed 9-mers from each proteome are expected to be presented on the MHC. Both alleles prefer to present processed 9-mers to nonprocessed 9-mers, and both have small preference to present foreign peptides. Because a number of amino acids from each 9-mer bind the MHC, and are therefore not exposed to the TCR, antigen presentation seems to involve a significant loss of information. Our results show that this is not the case because the HLA molecules are fairly specific. Removing the two anchor residues from each presented peptide, we find that the self:nonself overlap of these exposed 7-mers resembles that of 9-mers. Summarizing, the 9-mers used in MHC class I presentation tend to carry sufficient information to detect nonself peptides amongst self peptides.

Antigen Presentation↗

Activation-threshold tuning in an affinity model for the T-cell repertoire.

Naive T cells respond to peptides from foreign proteins and remain tolerant to self peptides from endogenous proteins. It has been suggested that self tolerance comes about by a 'tuning' mechanism, i.e. by increasing the T-cell activation threshold upon interaction with self peptides. Here, we explore how such an adaptive mechanism of T-cell tolerance would influence the reactivity of the T-cell repertoire to foreign peptides. We develop a computer simulation model in which T cells are tolerized by increasing their activation-threshold dependent on the affinity with which they see self peptides presented in the thymus. Thus, different T cells acquire different activation thresholds (i.e. different cross-reactivities). In previous mathematical models, T-cell tolerance was deletional and based on a fixed cross-reactivity parameter, which was assumed to have evolved to an optimal value. Comparing these two different tolerance-induction mechanisms, we found that the tuning model performs somewhat better than an optimized deletion model in terms of the reactivity to foreign antigens. Thus, evolutionary optimization of clonal cross-reactivity is not required. A straightforward extension of the tuning model is to delete T-cell clones that obtain a too high activation threshold, and to replace these by new clones. The reactivity of the immune repertoires of such a replacement model is enchanced compared with the basic tuning model. These results demonstrate that activation-threshold tuning is a functional mechanism for self tolerance induction.

Computer Simulation↗

Decline in excision circles requires homeostatic renewal or homeostatic death of naive T cells.

When the TCR is formed in the thymus, fragments of DNA are excised from the T cell progenitor chromosome. These TCR rearrangement excision circles (TRECs) are stable, are not replicated in cell division and are therefore most frequent in naive T cells that have recently left the thymus. During life, the average TREC content of peripheral naive T cells decreases between one and two orders of magnitude in humans. It is generally believed that the age-dependent decrease in the production of naive T cells by the thymus is sufficient to explain the decrease in the TREC content. Here, we demonstrate that this decrease in thymic production is required, but it is not sufficient to explain the TREC data. Only if the decrease in thymic output is compensated by homeostasis can one explain the decrease in the TREC content. The homeostatic response can take two forms: when the total number of naive T cells declines, there could be an increase in the renewal rate or an increase of the average cellular lifespan.

Cell Death↗

Bioinformatic analysis of functional differences between the immunoproteasome and the constitutive proteasome.

Intracellular proteins are degraded largely by proteasomes. In cells stimulated with gamma interferon, the active proteasome subunits are replaced by "immuno" subunits that form immunoproteasomes. Phylogenetic analysis of the immunosubunits has revealed that they evolve faster than their constitutive counterparts. This suggests that the immunoproteasome has evolved a function that differs from that of the constitutive proteasome. Accumulating experimental degradation data demonstrate, indeed, that the specificity of the immunoproteasome and the constitutive proteasome differs. However, it has not yet been quantified how different the specificity of two forms of the proteasome are. The main question, which still lacks direct evidence, is whether the immunoproteasome generates more MHC ligands. Here we use bioinformatics tools to quantify these differences and show that the immunoproteasome is a more specific enzyme than the constitutive proteasome. Additionally, we predict the degradation of pathogen proteomes and find that the immunoproteasome generates peptides that are better ligands for MHC binding than peptides generated by the constitutive proteasome. Thus, our analysis provides evidence that the immunoproteasome has co-evolved with the major histocompatibility complex to optimize antigen presentation in vertebrate cells.

Animals↗

Depletion of naive CD4 T cells by CXCR4-using HIV-1 variants occurs mainly through increased T-cell death and activation.

OBJECTIVE: Using SCID-Hu mice models and in vitro culture systems, it has been shown that syncytium inducing/CXCR4 using (X4) HIV-1 variants affect thymic function through infection and killing of CXCR4 thymocytes. The effect of X4-emergence on naive, memory and effector T-cell subset kinetics in vivo is, however, not known. DESIGN: Prospective cohort study. METHODS: Analysis of changes in naive, memory and effector CD4 and CD8 T-cell numbers and cell division before and after the emergence of X4 variants. RESULTS: Significantly lower numbers of CD4 T cells in patients with X4 variants (n = 18) compared to patients with non-syncytium inducing/CCR5 using variants (n = 74) were due to increased loss of naive and CD27 memory CD4 T cells. In addition, emergence of X4 variants was associated with a small but significant decline in naive CD8 T-cell numbers and increased proportions of dividing CD4 and CD8 naive, memory and effector T cells. CONCLUSION: Loss of naive T cells may suggest thymic dysfunction, however, such an effect would explain only part of the accelerated naive CD4 T-cell decline because of the longevity of naive T cells. Our data suggest that the accelerated naive CD4 T-cell decline induced by X4 variants is caused mainly by increased death and recruitment to the memory compartment of these cells.

Adult↗