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PubMed2002

Graft-versus-host reaction (GVHR) in clonal amago salmon, Oncorhynchus rhodurus.

The graft-versus-host reaction (GVHR) was demonstrated in a salmonid model system of clonal diploid and triploid amago salmon. Triploid operculum grafts on clonal diploid evoked an acute rejection within 12 days. Grafts exchanged among triploid amago salmon exhibited prolonged survival for 18 days. In contrast, diploid grafts on triploid, and allografts among clonal diploid amago salmon were accepted. A typical GVHR was induced in triploid recipients by intraperitonal injection of head kidney cells from sensitised diploid donors. The clinical signs of graft-versus-host disease (GVHD) were observed in the recipients after 1 week of cell injection as a loss of appetite and appearance of solid faeces, followed by haemorrhage, local swelling of ventral skin and an enlarged spleen. Three of six fish died within 1 month. Water temperature and frequency of sensitisation are critical to induce GVHR. Diploid donors had to be sensitised three times at 20 degrees C to induce the typical GVHR. GVHR was most effectively induced by head kidney cells, followed by peripheral blood leucocytes (PBL) and spleen cells. Ploidy analysis by flow cytometry revealed that the donor head kidney cells greatly increased in the recipient liver, head kidney and spleen, and reached the peak after 9 days of donor cell injection. The results in the present study are quite similar to the findings in ginbuna and ginbuna-gold fish hybrid system, suggesting the presence of T cells in salmonid as well as cyprinid fish.

Animals↗
PubMed1998

Ultrastructural and biochemical evidence for gap junction and connexin 43 expression in a clonal Sertoli cell line: a potential model in the study of junctional complex formation.

To clarify the exact role of Sertoli cells in testicular intercellular communications, a murine Sertoli cell line (42GPA9) has recently been established. Electron-microscopy studies indicate that the morphology of these immortalized cells strongly resembles that of mouse Sertoli cells in vivo with an indentend nucleus, elongated mitochondria and numerous lysosome-like structures. Ultrastructure analysis has also revealed that 42GPA9 cells form gap junctions as demonstrated by the presence of small electron-dense bridges that connect the plasma membranes of adjacent cells. The gap junction protein connexin 43 (Cx43) has been identified in cultured 42GPA9 cells by immunofluorescence and Western blot analysis. No immunostaining is detected in the absence of apparent intercellular contact. The anti-Cx43 antibody labels the contacts between 42GPA9 cells at confluency. This specific staining appears as small dots forming isolated rows of dots or surrounding the entire cell, suggesting that Cx43 is assembled into membrane plaques. The gap junctional communication capacity of the 42GPA9 cell line has been demonstrated by the dye-transfer technique. Exposure of 42GPA9 cells for 24 h to cAMP and 12-O-tetradecanoylphorbol-13-acetate greatly reduces the Cx43 staining at cell-cell contacts and concomitantly increases the cytoplasmic staining, suggesting that these agents alter the trafficking of Cx43 to the plasma membrane. Thus, the 42GPA9 line may provide a useful in vitro model for studying gap junction communication between Sertoli cells.

8-Bromo Cyclic Adenosine Monophosphate↗
PubMedDate not supplied

Isotypic and clonal variations in the interactions between model monoclonal immune complexes and the human erythrocyte CR1 receptor.

Erythrocytes (E) play a central role in handling circulating immune complexes (IC) in primates. E capture IC via complement receptors, type 1 (CR1) which can bind to C3b and C4b ligand sites generated on IC during activation of the complement cascade. The present study was designed to explore how the immunochemical properties of IC affected their interactions with human E. Model IC were constructed by combining murine monoclonal anti-dinitrophenyl (DNP) antibodies with DNP-bovine serum albumin. A panel of 10 independently-derived monoclonal IgG1, IgG2a, IgG2b, IgG3, IgM and IgA antibodies were used to construct IC and their interactions with human E were examined in vitro. The data reveal that IC constructed with the different monoclonal antibodies differed with respect to their rate of binding to E, the peak magnitude of IC binding to E, and the rate and extent of IC release from E. IC containing IgG1 antibodies (IgG1 IC), IgG2a IC, IgG2b IC, and IgA IC all bound rapidly to E, whereas IgG3 IC and IgM IC were bound relatively slowly to E. The peak magnitude of IC binding to E correlated directly with their binding rate. There was an inverse correlation between the antigen/antibody ratio of the IC and the magnitude of IC binding to E. The rate of release of the various types of IC from E also differed. IgG2a IC and IgG2b IC displayed the most rapid maximum release rates while IgG3 IC had the slowest peak release rate. IgM IC and IgA IC were also released relatively slowly from E. IgG1 IC had an intermediate release rate. There was no direct correlation between the maximum release rate and either the maximum binding rate or the peak magnitude of IC binding to E. While there were some clonotypic differences in binding and release rates between IC made with different IgG2a, IgG3 and IgM antibodies, antibody isotype appears to be of fundamental importance with respect to both the binding of IC to E and the release of IC from E. These data indicate that the immunochemical properties of IC can profoundly affect their interactions with human E and that the panel of IC constructed with monoclonal antibodies can serve as a useful model to explore these interactions.

Antibodies, Monoclonal↗
PubMed1998

Stimulation of cytokine production in clonal macrophage and T-cell models by Streptococcus thermophilus: comparison with Bifidobacterium sp. and Lactobacillus bulgaricus.

The effects of four commercial strains of Streptococcus thermophilus used in yogurt manufacturing on cytokine production were evaluated by using a macrophage model (RAW 264.7 cells) and a T-helper-cell model (EL4.IL-2 thymoma cells) and compared to immunologically active strains of Lactobacillus bulgaricus, Bifidobacterium adolescentis, and Bifidobacterium bifidum. All cytokines (TNF-alpha and IL-6 in RAW 264.7 cells and IL-2 and IL-5 in EL4.IL-2 cells) were affected by heat-killed S. thermophilus in a strain- and dose-dependent fashion. Organisms of all three genera induced significant increases in IL-6 production by the macrophage line ranging from 31- to 192-fold, with S. thermophilus St 133 showing the greatest activity. The four S. thermophilus strains also strongly induced TNF-alpha production (from 135- to 176-fold). IL-6 and, to a lesser extent, TNF-alpha production were also increased when the macrophages were costimulated with lipopolysaccharide and cells of the three groups of lactic acid bacteria. Upon concurrent stimulation of EL4.IL-2 cells with phorbol 12-myristate-13-acetate, seven of the eight strains displayed significant enhancement of IL-2 and IL-5 production, with S. thermophilus being most effective. Taken together, the S. thermophilus strains stimulated macrophage and T-cell cytokine production to a similar or greater extent than did the species of Bifidobacterium and Lactobacillus. These and previous results lend further support to the contention that lactic acid bacteria, in a concentration-dependent manner, can differentially induce cytokine production in macrophages, but that the effects on T cells required a costimulatory signal and were less remarkable.

Animals↗
PubMed1993

A theoretical and experimental examination of cell lineage relationships among cerebellar Purkinje cells in the mouse.

In this paper, we continue our examination of the role of cell lineage in the development of the cerebellar Purkinje cell population of the mouse. The analysis of Purkinje cell lineage is based on counts of the number of wild-type Purkinje cells in +/Lc<==>wild-type chimeras. +/Lc Purkinje cells undergo a cell autonomous degeneration early in postnatal development leaving variable numbers of wild-type Purkinje cells in chimeric animals. Using theoretical, statistical, and experimental approaches, we have tested various developmental models to account for the numerical development of Purkinje cell numbers in the +/Lc<==>wild-type chimeras. We have analyzed models based on the assumption that cell lineages are irrelevant to Purkinje cell development, as well as our own previous hypothesis that Purkinje cells descend from a small number of progenitor cells selected during the early stages of neurogenesis. The theoretical approach calculates the distributions of Purkinje cell numbers in hypothetical +/Lc<==>wild-type chimeras and inbred mice based on both clonal and nonclonal hypotheses of neuronal development. Variations of the model are compared with published cell counts from +/Lc<==>C3H/HeJ, +/Lc<==>C57BL/6J, +/Lc<==>AKR/J chimeras, and C3H/HeJ inbred mice. The statistical approach assesses the significance of the fits of the observed data with different variations of the model by Monte Carlo simulation techniques. The results of the comparison suggest that our observed data is more likely to be explained by a clonal model of development than by alternate models in which cell lineages play a minor role. Our experimental approach describes a new +/Lc<==>C3H/HeJ chimera in which all of the Purkinje cells (> 7900) are found on one side of the brain. We have analyzed this chimera with respect to clonal and nonclonal models of Purkinje cell development. The extreme asymmetric distribution of Purkinje cells provides added support to the hypothesis that there is a small number of progenitor cells that generate Purkinje cells. Our findings lead to the conclusion that while not all alternate models of mammalian CNS development can be completely excluded, the early progenitor hypothesis is the most probable model of Purkinje cell development.

Animals↗
PubMed2003

A biologically based model for liver cancer risk in the Swedish thorotrast patients.

Data on liver tumors among 416 Swedish patients who were exposed to Thorotrast between 1930 and 1950 were analyzed with the biologically based two-step clonal expansion (TSCE) model. For background data, the Swedish Cancer Register for the follow-up period 1958 to 1997 was used. Effects of radiation on the initiating mutation and on the clonal expansion rate explained the observed patterns well. The TSCE model permits the deduction of several kinetic parameters of the postulated tumorigenesis process. Dose rates of 5 mGy/year double the spontaneous initiation rate. The clonal expansion rate is doubled by 80 mGy/year, and for females it reaches a plateau at dose rates beyond 240 mGy/year. For males the plateau is not significant. The magnitude of the estimated promoting effect of radiation can be explained with a moderate increase in the cell replacement probability for the intermediate cells in the liver, which is strikingly similar to the situation in lung tumorigenesis.

Adolescent↗
PubMed1989

[Changes in the clonal structure of staphylococcal populations in a kidney infection model in mice].

The intraperitoneal infection of mice with previously titered doses of staphylococci has been found to regularly induce the formation of the foci of inflammation in the kidneys of mice, from which staphylococcal cultures has been obtained by the inoculation of the kidney material for 8 days (the term of observation). The use of this model has made it possible to carry out the dynamic study of structural changes in the populations of staphylococci by studying the biological properties of 100 subcultures isolated from the kidneys of the infected animals dissected every 24 hours. A decrease in the heterogeneity of the initial population, occurring due to a drop in the number of clones with hemolytic activity, lecithinase activity and smooth variants, has been registered. Thus, the proposed model permits the study of changes in the clonal structure of the populations of the infective agent, appearing under the influence of the protective capacity of the body in the dynamics of the infectious process.

Animals↗
PubMed2025

Deciphering Cell Fate and Clonal Dynamics via Integrative Single-Cell Lineage Modeling.

Through natural or synthetic lineage barcodes, single-cell technologies now enable the joint measurement of molecular states and clonal identities, providing an unprecedented opportunity to study cell fate and dynamics. Yet, most computational methods for inferring cell development and differentiation rely exclusively on transcriptional similarity, overlooking the lineage information encoded by lineage barcodes. This limitation is exemplified by T cells, where subtle transcriptional differences mark divergent fates with distinct biological activity. Single-cell RNA and matched TCR sequencing is now ubiquitous in the analysis of clinical samples, where the TCR sequence provides an endogenous clonal barcode and could reveal clonal T cell responses. We present Clonotrace, a computational framework that jointly models gene expression and clonotype information to infer cell state transitions and fate biases with higher fidelity. While motivated by challenges in analyzing T cell populations, especially in the tumor microenvironment and immunotherapy settings, Clonotrace is broadly applicable to any lineage-barcoded single-cell dataset. Across diverse systems including T cells, hematopoietic differentiation, and cancer therapy resistance models, Clonotrace reveals differentiation hierarchies, distinguishes unipotent from multipotent states, and identifies candidate fate-determining genes driving lineage commitment.

Journal Article↗
PubMed2025

Deciphering Cell Fate and Clonal Dynamics via Integrative Single-Cell Lineage Modeling.

Through natural or synthetic lineage barcodes, single-cell technologies now enable the joint measurement of molecular states and clonal identities, providing an unprecedented opportunity to study cell fate and dynamics. Yet, most computational methods for inferring cell development and differentiation rely exclusively on transcriptional similarity, overlooking the lineage information encoded by lineage barcodes. This limitation is exemplified by T cells, where subtle transcriptional differences mark divergent fates with distinct biological activity. Single-cell RNA and matched TCR sequencing is now ubiquitous in the analysis of clinical samples, where the TCR sequence provides an endogenous clonal barcode and could reveal clonal T cell responses. We present Clonotrace, a computational framework that jointly models gene expression and clonotype information to infer cell state transitions and fate biases with higher fidelity. While motivated by challenges in analyzing T cell populations, especially in the tumor microenvironment and immunotherapy settings, Clonotrace is broadly applicable to any lineage-barcoded single-cell dataset. Across diverse systems including T cells, hematopoietic differentiation, and cancer therapy resistance models, Clonotrace reveals differentiation hierarchies, distinguishes unipotent from multipotent states, and identifies candidate fate-determining genes driving lineage commitment.

Journal Article↗
PubMed2004

Studies of radon-exposed miner cohorts using a biologically based model: comparison of current Czech and French data with historic data from China and Colorado.

The biologically based two-stage clonal expansion (TSCE) model is used to analyze lung cancer in several miners studies, two new ones (Czech, French) and two historic ones (Chinese, Colorado). In all cases, the model assumptions are identical. An action of radiation on initiation, promotion, and transformation is allowed. While all four studies indicate a highly significant action of radiation on promotion, the action on initiation is not significant in the French cohort, and barely significant in the Colorado miners cohort. No action on transformation is found in the Colorado miners, while the other data sets indicate a borderline significance. The model can describe all the data sets adequately, with different model parameters. The observed patterns in exposure, time since beginning of exposure, birth year, age and calendar year are reproduced well. The doubling exposure rate for initiation is about 3.5 WLM/year in the new data sets, while it is higher in the historic data sets. For transformation the doubling rate is about 20 WLM/year for the new data sets, while again the historic data give higher estimates. The action of radiation on promotion is quite different in the four data sets. These differences also induce different risk estimates at low exposures. The larger power of the new studies at these low exposures, compared to the historic data requires less extrapolation when the risk at very low exposures is estimated.

Age Distribution↗
PubMed1996

Probabilistic learning in immune network: weighted tree matching model.

Adaptive learning properties (of clonal selection and affinity maturation) in the immune network model are investigated in this paper under a nonlinear data structural representation of the involved molecules. Weighted trees are constructed to model the multiple paratopes/epitopes on the antibodies/antigens. Parallel computing experiments are carried out for the canonical coding of these trees and the corresponding multiple matching interactions. Our experiments on real data have shown significant results on the cognitive properties of the immune network. These and other computational results are presented along with a discussion of future applications.

Amino Acid Sequence↗
PubMed1989

Cell proliferation kinetics and multistage cancer risk models.

Cell-kinetic multistage (CKM) cancer-risk models account for clonal proliferation of postulated intermediate (initiated, premalignant) cell populations during tumorigenesis. To date, almost all CKM models considered have assumed that intermediate, premalignant cells may proliferate exponentially over time in vivo. This "exponential growth" assumption, however, may not always be as biologically plausible as the alternative assumption that cells tend to grow geometrically in time. The general CKM model and applications of it that presume exponential cell growth are reviewed here. Geometric CKM models are then considered, previous erroneous analyses of these models are reviewed, and a corrected mathematical treatment is provided. It is pointed out that the presumption of exponential instead of geometric proliferation kinetics may lead to underestimates of small increments in CKM-predicted cancer risk above background if the geometric assumption is true. An evaluation of pertinent biological evidence is provided, which indicates that precancerous cells may typically proliferate geometrically. Consequently, if CKM models are used for environmental risk assessment, it may be prudent for one to presume geometric cell growth unless specific data support an alternative assumption.

Animals↗
PubMed2006

Spermatogonial stem cells: questions, models and perspectives.

This review looks into the phylogeny of spermatogonial stem cells and describes their basic biological features. We are focusing on species-specific differences of spermatogonial stem cell physiology. We propose revised models for the clonal expansion of spermatogonia and for the potential existence of true stem cells and progenitors in primates but not in rodents. We create a new model for the species-specific arrangements of spermatogenic stages which may depend on the variable clonal expansion patterns. We also provide a brief overview of germ cell transplantation as a powerful tool for basic research and its potential use in a clinical setting.

Animals↗
PubMed2001

Differential upregulation of TNF-alpha, IL-6, and IL-8 production by deoxynivalenol (vomitoxin) and other 8-ketotrichothecenes in a human macrophage model.

The effects of deoxynivalenol (DON or vomitoxin) and four closely related 8-ketotrichothecenes on proinflammatory cytokine and chemokine production were evaluated in a clonal human macrophage model. U-937 cells, which represent a human monocytelike histocytic lymphoma, were differentiated into macrophages by preincubation with phorbol 12-myristate 13-acetate (PMA). Differentiated macrophages were incubated with DON in the absence or presence of lipopolysaccharide (LPS), and supernatant was analyzed by enzyme-linked immunosorbent assay (ELISA) for the proinflammatory cytokines interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-alpha), and for the chemokine interleukin-8 (IL-8). In the absence of LPS, DON at 500 or 1,000 ng/ml upregulated TNF-alpha production as early as 3 h and up to 6 h, whereas 100 to 1,000 ng/ml of DON significantly increased production of IL-6 from 3 to 24 h and IL-8 from 6 to 48 h. In cells costimulated with 0.2 microg/ml LPS, DON at 500 or 1000 ng/ml markedly superinduced TNF-alpha and IL-8 production. Although 100 ng/ml of DON also potentiated LPS-induced IL-6 production, 500 or 1,000 ng/ ml of the toxin suppressed the LPS-induced IL-6 response. Four other 8-ketotrichothecenes, fusarenon X, nivalenol, 3-acetyl DON, and 15-acetyl DON, were also capable of upregulating or suppressing TNF-alpha, IL-6, and IL-8 production at concentrations similar to that of DON. In total, the results suggest that DON and other 8-ketotrichothecenes have the potential to both directly induce and superinduce proinflammatory cytokine and chemokine expression in human macrophages, even at toxin concentrations that are cytotoxic.

Cells, Cultured↗
PubMed2002

Possible implications of non-linear radiobiological effects for the estimation of radiation risk at low doses.

Possible implications of the effects of low LET radiation on the induction of cancer at low doses are studied. Low dose hypersensitivity and adaptive response were identified as candidates which may give a non-linear dose effect curve for acute exposures, whereas adaptive response may influence protracted exposures. In this paper acute exposures are studied. Several radiobiological reports on studies with mammalian cell lines have indicated the presence of a hypersensitive region in the radiation survival response at low doses followed by an increase in radioresistance. The two step clonal expansion (TSCE) model for the process of carcinogenesis was adapted in such a way that cell killing after acute radiation induces increased clonal expansion for some time and thus gives a promoting effect of radiation. As a first step, the Radiation Effects Research Foundation (RERF) data on the lung cancer incidence are fitted to study how such a model would influence the assessment of the cancer risk at low doses.

DNA Repair↗
PubMed2004

Lung tumour risk in radon-exposed rats from different experiments: comparative analysis with biologically based models.

Data sets of radon-exposed male rats from Wistar and Sprague-Dawley strains have been investigated with two different versions of the two-step clonal expansion (TSCE) model of carcinogenesis. These so-called initiation-promotion (IP) and initiation-transformation (IT) models are named after the cell-based processes that are assumed to be induced by radiation. The analysis was done with all malignant lung tumours taken to be incidental and with fatal tumours alone. For all tumours treated as incidental, both models could explain the tumour incidence data equally well. Owing to its better fit, only the IP model was applied in the analysis of fatal tumours that carry additional information on the time when they cause death. A statistical test rejected the hypothesis that a joint cohort of Wistar and Sprague-Dawley rats can be described with the same set of model parameters. Thus, the risk analysis has been carried out for the Wistar rats and the Sprague-Dawley rats separately and has been restricted to fatal tumours alone because of their similar effect in humans. Using a refined technique of age-adjustment, the lifetime excess absolute risk has been standardised with the survival function from competing risks in the control population. The age-adjusted excess risks for both strains of rats were of similar size, for animals with first exposure later in life they decreased markedly. For high cumulative exposure the excess risk increased with longer exposure duration, for low cumulative exposure it showed the opposite trend. In addition, high cumulative exposure exerted lethal effects other than lung cancer on the rats.

Administration, Inhalation↗
PubMed2004

Effects of exposure uncertainties in the TSCE model and application to the Colorado miners data.

The simulations in this paper show that exposure measurement error affects the parameter estimates of the biologically motivated two-stage clonal expansion (TSCE) model. For both Berkson and classical error models, we show that likelihood-based techniques of correction work reliably. For classical errors, the distribution of true exposures needs to be known or estimated in addition to the distribution of recorded exposures conditional on true exposures. Usually the exposure uncertainty biases the model parameters toward the null and underestimates the precision. But when several parameters are allowed to be dependent on exposure, e.g. initiation and promotion, then their relative importance is also influenced, and more complicated effects of exposure uncertainty can occur. The application part of this paper shows for two different types of Berkson errors that a recent analysis of the data for the Colorado plateau miners with the TSCE model is not changed substantially when correcting for such errors. Specifically, the conjectured promoting action of radon remains as the dominant radiation effect for explaining these data. The estimated promoting action of radon increases by a factor of up to 1.2 for the largest assumed exposure uncertainties.

Body Burden↗
PubMed1987

On the clonal origin of tumors: a review of experimental models.

A number of current models of carcinogenesis postulate that rare events are critical in the formation of malignant neoplasms. The most fundamental prediction of the hypothesis that these events are rare is the clonality of neoplasms. Evidence from spontaneous neoplasms supports the contention that such neoplasms are clonal. However, there are a number of reasons to believe that spontaneous neoplasms are derived from large numbers of cells. The issue can be resolved with experimental cancer models. In order to determine whether experimentally induced neoplasms are derived from the clonal expansion of single cells, a variety of benign and malignant tumors can be induced in mosaic rodents. These animals comprise 2 genetically distinguishable cell lineages. If the neoplastic tissues obtained from mosaic animals are composed entirely of progeny of one or the other of the 2 cell lineages, it may be concluded that they are clonal. If, on the other hand, the neoplasms began from the proliferation of many cells, then neoplastic masses would be expected to contain cells of both lineages. The results from a number of these experiments have led to the conclusion that chemically induced neoplasms are clonal. Furthermore, malignant neoplasms are generally believed to develop in a stepwise manner. If they were derived from a single cell, then each of the stages leading to the formation of the cancer should be clonal. A variety of stages thought to be necessary precursors of cancer have been analyzed in mosaic rodents. These preneoplastic lesions have been determined to be clonal in origin. Thus, theories of carcinogenesis must account for the rarity of the events critical to the formation of cancer.

Animals↗