scholarly journals Ionizing Radiation Perturbs Cell Cycle Progression of Neural Precursors in the Subventricular Zone Without Affecting Their Long-Term Self-Renewal

ASN NEURO ◽  
2015 ◽  
Vol 7 (3) ◽  
pp. 175909141557802 ◽  
Author(s):  
Hongxin Chen ◽  
Matthew T Goodus ◽  
Sonia M de Toledo ◽  
Edouard I Azzam ◽  
Steven W Levison ◽  
...  
2020 ◽  
Author(s):  
Leonardo Lonati ◽  
Sofia Barbieri ◽  
Isabella Guardamagna ◽  
Andrea Ottolenghi ◽  
Giorgio Baiocco

AbstractCell cycle progression can be studied with computational models that allow to describe and predict its perturbation by agents as ionizing radiation or drugs. Such models can then be integrated in tools for pre-clinical/clinical use, e.g. to optimize kinetically-based administration protocols of radiation therapy and chemotherapy.We present a deterministic compartmental model, specifically reproducing how cells that survive radiation exposure are distributed in the cell cycle as a function of dose and time after exposure. Model compartments represent the four cell-cycle phases, as a fuction of DNA content and time. A system of differential equations, whose parameters represent transition rates, division rate and DNA synthesis rate, describes the temporal evolution. Initial model inputs are data from unexposed cells in exponential growth. Perturbation is implemented as an alteration of model parameters that allows to best reproduce cell-cycle profiles post-irradiation. The model is validated with dedicated in vitro measurements on human lung fibroblasts (IMR90). Cells were irradiated with 2 and 5 Gy with a Varian 6 MV Clinac at IRCCS Maugeri. Flow cytometry analysis was performed at the RadBioPhys Laboratory (University of Pavia), obtaining cell percentages in each of the four phases in all studied conditions up to 72 hours post-irradiation.Cells show early G2-phase block (increasing in duration as dose increases) and later G1-phase accumulation. For each condition, we identified the best sets of model parameters that lead to a good agreement between model and experimental data, varying transition rates from G1- to S- and from G2- to M-phase.This work offers a proof-of-concept validation of the new computational tool, opening to its future development and, in perspective, to its integration in a wider framework for clinical use.Author summaryWe implemented a computational model able to describe how the progression in the cell cycle is perturbed when cells are exposed to ionizing radiation. It is known that radiation causes delays or arrest in cell cycle progression, and also that cells that are in different phases of the cycle at the time of exposure show different sensitivity to radiation. Chemotherapeutic drugs also affect cell cycle, and their action can be phase-specific. These findings can be exploited to find the optimal protocol of a combined radiotherapy/chemotherapy cancer treatment: to this aim, we need to know not only the effectiveness of an agent (dose/drug) in terms of cell killing, but also how surviving cells are distributed in the cell cycle. With the model we present, this information can be reproduced as a function of dose and time after radiation exposure. To test the model performance we measured distributions of cells in different phases of the cycle (using flow-cytometry) for human healthy fibroblast cells exposed to X-rays. The results of this work constitute a first step for further development of our model and its future integration in a tool for pre-clinical/clinical use.


2018 ◽  
Vol 9 (9) ◽  
Author(s):  
Parto Toofan ◽  
Caroline Busch ◽  
Heather Morrison ◽  
Stephen O’Brien ◽  
Heather Jørgensen ◽  
...  

2021 ◽  
Author(s):  
Diego Sainz de la Maza ◽  
Silvana Hof-Michel ◽  
Lee Phillimore ◽  
Christian Bökel ◽  
Marc Amoyel

AbstractStem cells maintain tissue homeostasis by proliferating to replace cells lost to damage or natural turnover. Whereas stem and progenitor cells proliferate, fully differentiated cells exit the cell cycle. How cell identity and cell cycle state are coordinated during this process is still poorly understood. The Drosophila testis niche supports germline stem cells and somatic cyst stem cells (CySCs), which are the only proliferating somatic cells in the testis. CySCs give rise to post-mitotic cyst cells and therefore provide a tractable model to ask how stem cell identity is linked to proliferation. We show that the G1/S cyclin, Cyclin E, is required for CySC self-renewal; however, its canonical transcriptional regulator, a complex of the E2f1 and Dp transcription factors is dispensable for self-renewal and cell cycle progression. Nevertheless, we demonstrate that E2f1/Dp activity must be silenced to allow CySCs to differentiate. We show that E2f1/Dp activity inhibits the expression of genes important for mitochondrial activity. Furthermore, promoting mitochondrial activity or biogenesis is sufficient to rescue the differentiation of CySCs with ectopic E2f1/Dp activity but not their exit from the cell cycle. Our findings together indicate that E2f1/Dp coordinates cell cycle progression with stem cell identity by regulating the metabolic state of CySCs.


2019 ◽  
Vol 218 (12) ◽  
pp. 4042-4062 ◽  
Author(s):  
Reito Watanabe ◽  
Masatoshi Hara ◽  
Ei-ichi Okumura ◽  
Solène Hervé ◽  
Daniele Fachinetti ◽  
...  

The kinetochore is essential for faithful chromosome segregation during mitosis. To form a functional kinetochore, constitutive centromere-associated network (CCAN) proteins are assembled on the centromere chromatin that contains the centromere-specific histone CENP-A. CENP-C, a CCAN protein, directly interacts with the CENP-A nucleosome to nucleate the kinetochore structure. As CENP-C is a hub protein for kinetochore assembly, it is critical to address how the CENP-A–CENP-C interaction is regulated during cell cycle progression. To address this question, we investigated the CENP-C C-terminal region, including a conserved CENP-A–binding motif, in both chicken and human cells and found that CDK1-mediated phosphorylation of CENP-C facilitates its binding to CENP-A in vitro and in vivo. We observed that CENP-A binding is involved in CENP-C kinetochore localization during mitosis. We also demonstrate that the CENP-A–CENP-C interaction is critical for long-term viability in human RPE-1 cells. These results provide deeper insights into protein-interaction network plasticity in centromere proteins during cell cycle progression.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 76-76 ◽  
Author(s):  
Kuanyin Karen Lin ◽  
Lara Rossi ◽  
Margaret A. Goodell

Abstract Hematopoietic stem cells (HSCs) comprise only ~0.02% of the whole bone marrow cells but possess the capacity to extensively proliferate in order to restore hematopoietic homeostasis. Under homeostasis, HSCs are relatively quiescent with a slow cell cycle progression rate. However, upon stimulation, HSCs are able to promptly proliferate and undergo self-renewal to regenerate HSCs as daughter cells. While regulatory mechanisms involved in cell cycle progression are well characterized to be essential for HSC self-renewal, the mechanisms that facilitate the return of proliferating HSC to their quiescent state have been largely overlooked. The expression of CD81 (also called TAPA-1), a transmembrane protein that belongs to the Tetraspanin family, has been found associated with HSC proliferation. While CD81 is normally absent on HSC, it becomes markedly upregulated during HSC proliferation (Figure 1). To understand the function of CD81 in regenerating HSCs, we utilized a murine stem cell retroviral vector to deliver genes into 5-FU treated bone marrow progenitors to test the effect of enforced CD81 overexpression on HSC. The CD81-transduced proliferating progenitors were found to give rise to an increased number of phenotypically-defined HSC (SP-KLS) without significantly affecting the homeostasis in peripheral organs. In addition, we also characterized the HSCs from CD81 knock-out mice. We discovered that CD81-null HSC failed to engraft in peripheral blood of secondary recipients in serial transplantation assays (Figure 2), suggesting a role of CD81 in preserving a functional HSC compartment during proliferation-induced stress. When investigating further, we discovered that CD81 is a cell cycle suppressor for HSC, as the CD81KO HSCs are delayed in returning quiescence. In addition, clustering of CD81 on the HSC cell membrane using a monoclonal antibody rapidly induced a quiescent phenotype. This was found to be associated with an altered phosphorylation level of AKT, an inhibitor of the transcription factor FOXO1a and FOXO3a, which have been reported to be essential for HSC self-renewal through suppressing HSC proliferation. Taken together, these results demonstrate an essential role of CD81 in HSC self-renewal, and a novel mechanism that advances quiescence from a proliferating state. Figure 1. CD81 expression is upregulated at the time when HSCs (SPKLS) are proliferating in response to 5FU stimulation, a chemotheraputic agent that induces HSC to proliferate. The expression of CD81 is found at a background level in quiescent stages (5FU-Day0 and 5FU-Day11), and is upregulated during proliferation stages (starting 5FU-Day2) Figure 1. CD81 expression is upregulated at the time when HSCs (SPKLS) are proliferating in response to 5FU stimulation, a chemotheraputic agent that induces HSC to proliferate. The expression of CD81 is found at a background level in quiescent stages (5FU-Day0 and 5FU-Day11), and is upregulated during proliferation stages (starting 5FU-Day2) Figure 2. CD8KO HSCs fail to engraft in the secondary competitive transplantation assay, indicating a self-renewal defect. In this assay, 300 donor-derived HSCs (CD45.2 SPKLS) were purified from the primary recipients and transplanted along with 2×105 competitors into lethally irradiated mice (**p<0.01). Figure 2. CD8KO HSCs fail to engraft in the secondary competitive transplantation assay, indicating a self-renewal defect. In this assay, 300 donor-derived HSCs (CD45.2 SPKLS) were purified from the primary recipients and transplanted along with 2×105 competitors into lethally irradiated mice (**p<0.01).


PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e42350 ◽  
Author(s):  
Ming Zhan ◽  
Daniel R. Riordon ◽  
Bin Yan ◽  
Yelena S. Tarasova ◽  
Sarah Bruweleit ◽  
...  

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