A combined fluid dynamics, mass transport and cell growth model for a three-dimensional perfused biorector for tissue engineering of haematopoietic cells

2007 ◽  
Vol 35 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Chi Yip Joan Ma ◽  
Robin Kumar ◽  
Xiao Yun Xu ◽  
Athanasios Mantalaris
1992 ◽  
Vol 27 (4) ◽  
pp. 947-955 ◽  
Author(s):  
G. E. W. Schulze ◽  
W. A. Schulze

2010 ◽  
Vol 52 (1) ◽  
pp. 46-58 ◽  
Author(s):  
BRUCE VAN BRUNT ◽  
M. VLIEG-HULSTMAN

AbstractA boundary-value problem for cell growth leads to an eigenvalue problem. In this paper some properties of the eigenfunctions are studied. The first eigenfunction is a probability density function and is of importance in the cell growth model. We sharpen an earlier uniqueness result and show that the distribution is unimodal. We then show that the higher eigenfunctions have nested zeros. We show that the eigenfunctions are not mutually orthogonal, but that there are certain orthogonality relations that effectively partition the set of eigenfunctions into two sets.


1998 ◽  
Vol 158 (2) ◽  
pp. 145-151 ◽  
Author(s):  
A Bateman ◽  
HP Bennett

The granulin/epithelin motif defines a family of structurally unique proteins, of great evolutionary antiquity, which have been implicated as regulators of cell growth. Recurrent in granulin research are the surprising parallels between the granulin and EGF systems. Both are cysteinerich peptides of approximately 6 kDa that can modify cell growth. They show similar, but not identical, biological activities, although granulin/epithelin peptides do not bind EGF receptors; the three-dimensional folds of granulin and EGF are partially superimposible; and the precursors for mammalian granulin/epithelins and EGF are both organized as multiple repeats of conserved cysteine modules. Given the dissimilarity between amino acid sequences of members of the granulin/epithelin family and EGF-related peptides, the parallelism between the two systems probably represents convergent evolution towards related solutions to common biological problems. The granulin/epithelin precursor gene is expressed throughout the body, but its expression is predominantly in epithelial and haematopoietic cells. There is a great deal of versatility in the means by which cells process and handle the granulin/epithelin precursor. In some instances, the precursor is secreted intact (Zhou et al. 1993), and in others it is stored in a vesicular organelle, such as the sperm acrosome (Baba et al. 1993a). It may be processed into small 6-kDa peptides, which, in the neutrophil, can also be stored in vesicles (Bateman et al. 1990, Couto et al. 1992). The 6-kDa peptide forms, the intact precursor, and related proteins such as TGFe, regulate the growth of epithelial and mesenchymal cells. Epithelial cells express putative receptors for granulin/epithelin peptides and TGFe (Culouscou et al. 1993, Parnell et al. 1995). Thus, although much remains to be clarified, granulin/epithelin polypeptides and related proteins are emerging as widely distributed potential autocrine and paracrine growth modulating factors for epithelial and mesenchymal cells.


1989 ◽  
Vol 24 (9) ◽  
pp. 3101-3106 ◽  
Author(s):  
G. E. W. Schulze ◽  
H. -P. Wilbert

2017 ◽  
Vol 41 (4) ◽  
pp. 1541-1553 ◽  
Author(s):  
Messoud Efendiev ◽  
Bruce van Brunt ◽  
Graeme C. Wake ◽  
Ali Ashher Zaidi

1998 ◽  
Vol 538 ◽  
Author(s):  
M.A. Miodownik ◽  
E.A. Holm ◽  
A.W. Godfrey ◽  
D.A. Hughes ◽  
R. Lesar

AbstractWe propose a multi length scale approach to modeling recrystallization which links a dislocation model, a cell growth model and a macroscopic model. Although this methodology and linking framework will be applied to recrystallization, it is also applicable to other types of phase transformations in bulk and layered materials. Critical processes such as the dislocation structure evolution, nucleation, the evolution of crystal orientations into a preferred texture, and grain size evolution all operate at different length scales. In this paper we focus on incorporating experimental measurements of dislocation substructures, misorientation measurements of dislocation boundaries, and dislocation simulations into a mesoscopic model of cell growth. In particular, we show how feeding information from the dislocation model into the cell growth model can create realistic initial microstructures.


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