Biology subjects

Kostiou, V.

Publications and source records attributed to Kostiou, V..

4 recordsLinked to original sources

bioRxiv2022

p53 mutation in normal esophagus promotes multiple stages of carcinogenesis but is constrained by clonal competition

Aging normal human epithelia, such as the esophagus, accumulate a substantial burden of TP53 mutant clones. These are the origin of most esophageal squamous carcinomas, in which biallelic TP53 disruption is almost frequent. However, the cellular mechanisms by which p53 mutants colonize the esophagus and participate in the subsequent stages of transformation are unclear. Here we show that inducing the p53R245W mutant in single esophageal progenitor cells in transgenic mice confers a proliferative advantage that drives clonal expansion but does not disrupt normal epithelial structure or function. Loss of the remaining p53 allele in mutant cells does not increase their competitive fitness, creating a bottleneck to the development of chromosomally unstable p53R245W/null epithelium. In carcinogenesis, p53 mutation does not initiate tumor formation, but tumors developing from areas with p53 mutation and LOH are larger and show extensive chromosomal instability compared to lesions arising in wild type epithelium. We conclude that p53 has distinct functions at different stages of carcinogenesis and that LOH within p53 mutant clones in normal epithelium is a critical step in malignant transformation.

cancer biology↗

bioRxiv2020

Different responses to cell crowding determine the clonal fitness of p53 and Notch inhibiting mutations in squamous epithelia

The growth and competition of cells in epithelial tissues plays an important role in both tissue homeostasis and the robustness of normal tissues to pre-cancer mutation. Whilst wild-type cells compete neutrally for dominance in the un-mutated tissue, naturally occurring mutations in individual cells may lend them a fitness advantage that can allow tissue colonisation. In mouse oesophageal epithelia, the growth of p53 mutants and a dominant negative mutant of the Notch downstream target Maml1 (DN_Maml1) have been shown to have different colonisation properties despite strong quantitative similarities in the growth of individual clones. Here we show that in order to recapitulate these behaviours whilst maintaining tissue turnover models need to take account of the response of cells to increased areal density in the tissue colonised by mutant cells. We demonstrate that p53 mutant clone growth approximates a logistic curve, but that without including limitations on mutation induced expansion the overall proliferation rate of the tissue drops due to space restrictions. In contrast, the ability of DN_Maml1 mutations to displace the wild-type population reflects a feedback that effects both mutant and wild-type cells equally. We go on to show how these distinct feedbacks are consistent with the distribution of mutations observed in human datasets.

systems biology↗

bioRxiv2020

Methods for analysing lineage tracing datasets

A single population of stem cells maintains many epithelial tissues. Transgenic mouse cell tracking has frequently been used to study the growth dynamics of competing clones in these tissues. A mathematical model (the single progenitor model) has been argued to reproduce the observed stem cell dynamics accurately. This requires three parameters to describe the growth dynamics observed in transgenic mouse cell tracking- a division rate, a stratification rate, and the probability of dividing symmetrically. Deriving these parameters is time intensive and complex process. We compare the alternative strategies for analysing this source of experimental data, identifying an approximate Bayesian computation-based approach as the best in terms of efficiency and appropriate error estimation. We support our findings by explicitly modelling biological variation and consider the impact of different sampling regimes. All tested solutions are made available to allow new datasets to be analysed following our workflows. Based on our findings we make recommendations for future experimental design.

systems biology↗

bioRxiv2019

The single-progenitor model as the unifying paradigm of squamous epithelial maintenance

Adult tissues such as the epidermis of the skin and the epithelium lining the esophagus are continuously turned over throughout life. Cells are shed from the tissue surface and replaced by cell division. Yet, the cellular mechanisms that underpin these tissues homeostasis remain poorly established, having important implications for wound healing and carcinogenesis. Lineage tracing, in which of a cohort of proliferating cells and their descendants are genetically labelled in transgenic mice, has been used to study the fate behavior of the proliferating cells that maintain these tissues. However, based on this technique, distinct mutually irreconcilable models, differing in the implored number and hierarchy of proliferating cell types, have been proposed to explain homeostasis. To elucidate which of these conflicting scenarios should prevail, here we performed cell proliferation assays across multiple body sites in transgenic H2BGFP mouse epidermis and esophagus. Cell-cycle properties were then extracted from the H2BGFP dilution kinetics and adopted in a common analytic approach for a refined analysis of a new lineage-tracing experiment and eight published clonal data sets from esophagus and different skin territories. Our results show H2BGFP dilution profiles remained unimodal over time, indicating the absence of slow-cycling stem cells across all tissues analyzed. We find that despite using diverse genetic labelling approaches, all lineage-tracing data sets are consistent with tissues maintenance by a single population of proliferating cells. The outcome of a given division is unpredictable but, on average the likelihood of producing proliferating and differentiating cells is balanced, ensuring tissue homeostasis. The fate outcomes of sister cells are anticorrelated. We conclude a single cell population maintains squamous epithelial homeostasis.

cell biology↗