Differentiation of cultured pre-adipose cells: a probability model

Stochastic modeling of adipogenesis in 3T3-L1 cultures to determine probabilities of events in the cell's life cycle

3T3-L1 preadipocytes are often being used in research of adipose-related diseases such as obesity, insulin resistance, and hyperlipidemia. We developed a stochastic model that simulated differentiation of four 3T3-L1 culture conditions distinct by the insulin concentration in the differentiation medium (2.5, 5, 7.5, or 10 μg/mL). The model simulated culture behavior and the accumulation of lipid droplets in the maturing cells from the day of induction of differentiation through 28 days after that. The cellular processes including cell adhesion, mitosis, growing after undergoing mitosis, commitment to the adipocyte lineage, and apoptosis were referred to as stochastic events in the modeling. By minimizing the error between our model and experimental results, we found that the probability for becoming committed to the adipocyte lineage in a single division and the probability for growing after undergoing mitosis were 0.02 and 0.8, respectively, regardless of the insulin concentration. The probability for undergoing mitosis was equal to 0.2 and 0.4 in cultures that had insulin concentrations of 2.5 and 5-10 μg/mL in the differentiation medium, respectively; hence the insulin concentration affected the probability for mitosis in the 3T3-L1 cells. The model and resulted probabilities now allow quantitative and visual predictions of adipogenesis in 3T3-L1 cultures, toward computational design of cell culturing protocols.

A phylogenetic approach to mapping cell fate

Recent, surprising, and controversial discoveries have challenged conventional concepts regarding the origins and plasticity of stem cells, and their contributions to tissue regeneration, and highlight just how little is known about mammalian development in comparison to simpler model organisms. In the case of the transparent worm, Caenorhabditis elegans, Sulston and colleagues used a microscope to record the birth and death of every cell during its life, and the compilation of this "fate map" represents a milestone achievement of developmental biology. Determining a fate map for mammals or other higher organisms is more complicated because they are opaque, take a long time to mature, and have a tremendous number of cells. Consequently, fate mapping experiments have relied on tagging a progenitor cell with a dye or genetic marker in order to later identify its descendants. This approach, however, extracts little information because it demonstrates that a population of cells, all having inherited the same label, shares a common ancestor, but it does not reveal how cells in that population are related to one another. To avoid that problem, as well as technical limitations of current methods for mapping cell fate, we, and others, have developed a new strategy for retrospectively deriving cell fate maps by using phylogenetics to infer the order in which somatic mutations have arisen in the genomes of individual cells during development in multicellular organisms. DNA replication inevitably introduces mutations, particularly at repetitive sequences, every time a cell divides. It is thus possible to deduce the history of cell divisions by cataloging somatic mutations and phylogenetically reconstructing cell lineage. This approach has the potential to produce a complete mammalian cell fate map that, in principle, could describe the developmental lineage of any cell and help resolve outstanding questions of stem cell biology, tissue repair and maintenance, and aging.

Inference for an age-dependent, multitype branching-process model of mast cells

We consider an age-dependent, multitype model for the growth of mast cells in culture. After a colony of cells is established by an initiator type, the two possible types of cells are resting and proliferative. Using novel inferential procedures, we estimate the generation-time distribution and the offspring distribution of proliferative cells, and the waiting-time distribution of resting cells.

Clonal variation in response to adrenocorticotropin in cultured bovine adrenocortical cells: relationship to senescence

During cellular senescence, non-clonal cultures of bovine adrenocortical cells show a continuous decline in the rate of production of cyclic AMP (cAMP) stimulated by adrenocorticotropin (ACTH), without changes in the rate of forskolin- or prostaglandin E1-stimulated cAMP production. We investigated the possible mechanisms for loss of response to ACTH by examining the properties of clones of bovine adrenocortical cells. ACTH-stimulated cAMP production rates were measured in clones immediately after isolation, during long-term growth following isolation, and after subcloning. ACTH-stimulated rates were compared with cAMP production in response to forskolin, which acts directly on the catalytic subunit of adenylate cyclase. The results show that cloning is not necessarily associated with a loss of response to ACTH, but that clones with high ACTH response can give rise to subclones with low response. Clones of adrenocortical cells, at the same approximate population doubling level (PDL), showed ACTH response levels that ranged from 12 to 135 pmol cAMP/10(6) cells/min, whereas mass cultures at this PDL showed approximately 50 pmol/10(6) cells/min. Forskolin-stimulated cAMP production rates in clones varied only over the range of 59-119 pmol/10(6) cells/min and showed no correlation with the ACTH-stimulated rates. All clones were adrenocortical cells, as shown by mitogenic response to angiotensin II and cAMP-inducible 17 alpha-hydroxylase activity. The replicative potential of clones varied widely, and there was no apparent correlation between ACTH response levels and growth potential. The level of ACTH response in each clone was stable during proliferation through at least 25 PD beyond the stage at which the clone was isolated. When clones were subcloned, a clone with a high ACTH response level produced sister subclones that had ACTH response levels ranging from 3% of that of the parent clone to a level slightly greater than that of the parent clone. The growth potential of sister subclones varied widely, as for the parent clones, and there was no obvious correlation between growth potential and ACTH response. Two subclones were cloned; in sub-subclones, levels of ACTH response were again different from each other and also from the parent subclone; in one case, the level of ACTH response was approximately eight-fold higher than that of the parent subclone. These experiments show that clonal variation in the extent of expression of a differentiated property may occur in a normal differentiated cell in culture. The loss of ACTH response and the loss of proliferative potential appear to be independent stochastic events.