cell cycle length
Recently Published Documents


TOTAL DOCUMENTS

50
(FIVE YEARS 8)

H-INDEX

19
(FIVE YEARS 0)

2021 ◽  
Author(s):  
Melanie Roussat ◽  
Thomas Jungas ◽  
Christophe Audouard ◽  
Francois Medevielle ◽  
Alice Davy ◽  
...  

During development, cortical neurons are produced in a temporally regulated sequence from apical progenitors, directly, or indirectly through the production of intermediate basal progenitors. The balance between these major progenitors types is determinant for the production of the proper number and types of neurons and it is thus important to decipher the cellular and molecular cues controlling this equilibrium. Here we address the role of a cell cycle regulator, the CDC25B phosphatase, in this process. We show that deleting CDC25B in apical progenitors leads to a transient increase of the production of TBR1+ neurons at the expense of TBR2+ basal progenitors in mouse neocortex. This phenotype is associated with lengthening of the G2 phase of the cell cycle, the total cell cycle length being unaffected. Using in utero electroporation and cortical slice cultures, we demonstrate that the defect in TBR2+ basal progenitor production requires interaction with CDK1 and is due to the G2 phase lengthening in CDC25B mutants. Altogether, this study identifies a new role for CDC25B and the length of the G2 phase in direct versus indirect neurogenesis at early stages of the cortical development.


2021 ◽  
Author(s):  
Elena Schaberg ◽  
Magdalena Götz ◽  
Andreas Faissner

Abstract Adult neurogenesis has been described in two canonical regions of the adult central nervous system (CNS) of rodents, the subgranular zone (SGZ) of the hippocampus and the subependymal zone (SEZ) of the lateral ventricles. The stem cell niche of the SEZ provides a privileged environment composed of a specialized extracellular matrix (ECM) that comprises the glycoproteins tenascin-C (Tnc) and laminin-1 (LN1). In the present study, we investigated the function of these ECM glycoproteins in the adult stem cell niche. Adult neural stem cells (aNSPCs) of the SEZ were prepared from wildtype (Tnc+/+) and Tnc knockout (Tnc-/-) mice and analyzed using molecular and cell biological approaches. A delayed maturation of aNSPCs in Tnc-/- tissue was reflected by a reduced capacity to form neurospheres in response to epidermal growth factor (EGF). In order to examine a potential influence of the ECM on cell proliferation, aNSPCs of both genotypes were studied by cell tracking using digital video microscopy. aNSPCs were cultivated on three different substrates, namely poly-D-Lysine (PDL) and PDL replenished with either LN1 or Tnc for up to six days in vitro. On each of the three substrates aNSPCs displayed lineage trees that could be investigated with regard to cell cycle length. The latter appeared reduced in Tnc-/- aNSPCs on PDL and LN1 substrates, less so on Tnc that seemed to compensate the absence of the ECM compound to some extent. Close inspection of the lineage trees revealed a subpopulation of late dividing aNSPCslate that engaged into cycling after a notable delay. aNSPCslate exhibited a clearly different morphology, with a larger cell body and conspicuous processes. aNSPCslate reiterated the reduction in cell cycle length on all substrates tested, which was not rescued on Tnc substrates. When the migratory activity of aNSPC-derived progeny was determined, Tnc-/- neuroblasts displayed significantly longer migration tracks. This was traced to an increased rate of migration episodes compared to the wildtype cells that rested for longer time periods. We conclude that Tnc intervenes in the proliferation of aNSPCs and modulates the motility of neuroblasts in the niche of the SEZ.


Author(s):  
Ryszard Rudnicki ◽  
Katarzyna Pichór

We consider an age-size structured cell population model based on the cell cycle length. The model is described by a first order partial differential equation with initial-boundary conditions. Using the theory of semigroups of positive operators we establish new criteria for an asynchronous exponential growth of solutions to such equations. We discuss the question of exponential size growth of cells. We show how to incorporate into our description models with constant increase of size and with target size division. We also present versions of the model when the population is heterogeneous.


2021 ◽  
Author(s):  
Nitin Sabherwal ◽  
Andrew Rowntree ◽  
Jochen Kursawe ◽  
Nancy Papalopulu

AbstractHere, we study the dynamical expression of endogenously labelled Hes1, a transcriptional repressor implicated in controlling cell proliferation, to understand how cell-cycle length heterogeneity is generated in ER+ breast cancer cells. We find that Hes1 shows oscillatory expression and during the cell-cycle has a variable peak in G1, a trough around G1-S transition and a less variable second peak in G2/M. Compared to other subpopulations, the cell-cycle in CD44HighCD24Low cancer stem cells is longest and most variable. Most cells divide around the peak of the Hes1 expression wave but mitoses in slow dividing CD44HighCD24Low cells appear phase-shifted, resulting in a late-onset Hes1 peak in G1. The position, duration and shape of this peak, rather than the Hes1 expression levels, are good predictors of cell-cycle length. Diminishing Hes1 oscillations impairs proliferation, indicating their functional importance for efficient cell-cycle progression. We propose that the position of mitosis in relation to the Hes1 wave underlies cell-cycle length heterogeneity in cancer cell subpopulations.Significance statementTumours exhibit heterogeneities that are not due to mutations, including Cancer Stem Cells with different potencies. We show that the cancer stem cell state predisposed to dormancy in vivo has a highly variable and long cell-cycle. Using single-cell live-imaging for the transcriptional repressor Hes1 (a key molecule in cancer), we show a new type of oscillatory expression of Hes1 in all cells in the population. The most potent cancer stem cells tend to divide around the trough of the Hes1 oscillatory wave, a feature predictive of a long cell-cycle. A novel concept proposed here is that the position that a cell is with respect to the Hes1 wave when it divides is predictive of its prospective cell-cycle length and characteristic of its cellular sub-state.Abstract in picture


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Jeannette Reinig ◽  
Frank Ruge ◽  
Martin Howard ◽  
Leonie Ringrose

Abstract Polycomb and Trithorax group proteins maintain stable epigenetic memory of gene expression states for some genes, but many targets show highly dynamic regulation. Here we combine experiment and theory to examine the mechanistic basis of these different modes of regulation. We present a mathematical model comprising a Polycomb/Trithorax response element (PRE/TRE) coupled to a promoter and including Drosophila developmental timing. The model accurately recapitulates published studies of PRE/TRE mediated epigenetic memory of both silencing and activation. With minimal parameter changes, the same model can also recapitulate experimental data for a different PRE/TRE that allows dynamic regulation of its target gene. The model predicts that both cell cycle length and PRE/TRE identity are critical for determining whether the system gives stable memory or dynamic regulation. Our work provides a simple unifying framework for a rich repertoire of PRE/TRE functions, and thus provides insights into  genome-wide Polycomb/Trithorax regulation.


2020 ◽  
Author(s):  
Adrien Jolly ◽  
Ann-Kathrin Fanti ◽  
Ines Gräßer ◽  
Nils B. Becker ◽  
Thomas Höfer

AbstractWhile the average cell-cycle length in a cell population can be derived from pulse-chase experiments, proliferative heterogeneity has been difficult to quantify. Here we describe CycleFlow, a broadly applicable method that applies Bayesian inference to combined measurements of EdU incorporation and DNA content. CycleFlow accurately quantifies the fraction of proliferating versus quiescent cells and the durations of cell-cycle phases of the proliferating cells in vitro and in vivo.


Sign in / Sign up

Export Citation Format

Share Document