The dynamics of continuous microbial culture described by cell age distribution and concentration of one substrate

1994 ◽  
Vol 56 (5) ◽  
pp. 837-862 ◽  
Author(s):  
I. G. Minkevich ◽  
A. Yu. Abramychev
Keyword(s):  
Age Distribution ◽  
Microbial Culture ◽  
Cell Age

The dynamics of continuous microbial culture described by cell age distribution and concentration of one substrate

1994 ◽  
Vol 56 (5) ◽  
pp. 837-862
Author(s):  
I MINKEVICH ◽  
A ABRAMYCHEV
Keyword(s):  
Age Distribution ◽  
Microbial Culture ◽  
Cell Age

Theory of cell age distribution in suspension culture with feed and / or drain

1990 ◽  
Vol 99 (1) ◽  
pp. 141
Author(s):  
Hiroumi Funakoshi ◽  
Akio Yamada
Keyword(s):  
Suspension Culture ◽  
Age Distribution ◽  
Cell Age

Exponential pattern of cell age distribution in dividing cells of plant meristems

1989 ◽  
Vol 13 (3) ◽  
pp. 283-289 ◽  
Author(s):  
A CUADRADO ◽  
M NAVARRETE ◽  
J CANOVAS
Keyword(s):  
Age Distribution ◽  
Cell Age ◽  
Dividing Cells

scholarly journals SHIFT OF CELL-AGE DISTRIBUTION PATTERN IN THE LATER PHASES OF ESCHERICHIA COLI CULTURE

1967 ◽  
Vol 13 (1) ◽  
pp. 103-119 ◽  
Author(s):  
ARASUKE NISHI ◽  
SHOJI OKAMURA ◽  
TOMOMICHI YANAGITA
Keyword(s):  
Escherichia Coli ◽  
Distribution Pattern ◽  
Age Distribution ◽  
Cell Age

Quantitative analysis of biological marker synthesis in tumor cell cycle.

1977 ◽  
Vol 23 (8) ◽  
pp. 1409-1415 ◽  
Author(s):  
K B Woo ◽  
R D Enagonio
Keyword(s):  
Cell Cycle ◽  
Tumor Cell ◽  
Time Course ◽  
Chinese Hamster Ovary Cells ◽  
Age Distribution ◽  
Chinese Hamster ◽  
Quantitative Relationship ◽  
Cell Number ◽  
Cell Age ◽  
Biologic Marker

Abstract A quantitative relationship between tumor cell number and biologic marker concentration has been investigated and characterized by the previously developed discrete-time kinetic model for the study of cell kinetics. Here, this model is further expanded to cope with both cell cycle kinetics and biologic marker synthesis. A synchronized tumor-cell population is examined to determine the time course of the synthesis of markers in relation to cell cycle. The DNA content distributions, measured by flow microfluorometry, are analyzed by use of the model, and the cell age distribution is extracted. The average marker content per cell in cell cycle is measured for each time sequence in synchronized cell populations. The model, incorporating the cell age distribution and the average marker content per cell in cell cycle, enables one to generate the marker content distribution, from which the cell number is estimated from the marker concentration. The model performance is further evaluated with Chinese hamster ovary cells, and their polyamine content and the total polyamine concentration during synchronization is calculated and related to the total cell number.

Purkinje cell age-distribution in fissures and in foliar crowns: a comparative study in the weaver cerebellum

2007 ◽  
Vol 212 (3-4) ◽  
pp. 347-357 ◽  
Author(s):  
Joaquín Martí ◽  
M. C. Santa-Cruz ◽  
Shirley A. Bayer ◽  
Bernardino Ghetti ◽  
José P. Hervás
Keyword(s):  
Comparative Study ◽  
Purkinje Cell ◽  
Age Distribution ◽  
Cell Age

scholarly journals Changes in Cell Age Distribution of Erythrocytes and in Glutathione Peroxidase Activity along with Aging of SHRSP

1996 ◽  
Vol 37 (4) ◽  
pp. 556-556
Author(s):  
Tetsuo Murakami ◽  
Kumiko Takemori ◽  
Hajime Yoshizumi ◽  
Hiroyuki Ito
Keyword(s):  
Glutathione Peroxidase ◽  
Peroxidase Activity ◽  
Age Distribution ◽  
Glutathione Peroxidase Activity ◽  
Cell Age

Analysis of Cell Age Distribution During Ascites Tumor Growth 2

1974 ◽  
Vol 53 (1) ◽  
pp. 285-287 ◽  
Author(s):  
Y. Maruyama ◽  
M.R. Raju
Keyword(s):  
Tumor Growth ◽  
Age Distribution ◽  
Ascites Tumor ◽  
Cell Age
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