In a recent article, Flynn et al. described compartment syndromes in children in two large pediatric trauma centers (Children's Hospital of Philadelphia, and the Johns Hopkins Hospital in Baltimore, USA) from retrospective chart reviews [10].
The model by Pielmeier et al. [11] (GlucoSafe) brings the described compartment models for insulin and glucose together by introducing a linking nonlinear relation via the insulin effect on the glucose uptake, for a graphical illustration of the underlying considered processes see Figure 1.
By dual labelling with described compartment markers such as AMA1 (micronemes), rhoptry-associated membrane antigen, RAMA (rhoptry body), rhoptry neck protein 4, RON4 (rhoptry neck) and the C-terminal 19 kDa region of merozoite surface protein 1 (MSP119) it appears that RON12 colocalizes with rhoptry markers – apical to the rhoptry bulb and generally coincident with the rhoptry neck marker RON4.
Autophagolysosomes and phagolysosomes are terms used to describe the compartments within these two pathways that have undergone lysosome fusion which facilitates breakdown of internal components.
In the following section we will describe the compartment approach that was used to model the human cardiovascular system.
We describe a compartment model-based correction algorithm to deconvolute the biological oxygen consumption rate from the measured [O2].
By categorising the protein expression of stromal cells associated with prostate cancer, we describe a compartment that is not well studied and will contribute to an improved understanding of prostate cancer.
Cells with MGRN1 siRNAs had significantly enlarged CTSD positive vesicles, morphologically similar to the previously described CD63 compartments, suggesting that a fraction of these compartments might be late endosomes/MVBs.
The one-tissue compartment model (1TCM) describes one compartment which is a composite of free, non-specifically and specifically bound radioligands [16].
In mathematical grassland models, plant communities may be represented by a various number of state variables, describing biomass compartments of some dominant species or plant functional types.
