Optimal experimental design in the modelling of pattern formation

2Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Gene regulation plays a major role in the control of developmental processes. Pattern formation, for example, is thought to be regulated by a limited number genes translated into transcription factors that control the differential expression of other genes in different cells in a given tissue. We focused on the Notch pathway during the formation of chess-like patterns along development. Simplified models exist of the patterning by lateral inhibition due to the Notch-Delta signalling cascade. We show here how parameters from the literature are able to explain the steady-state behavior of model tissues of several sizes, although they are not able to reproduce time series of experiments. In order to refine the parameters set for data from real experiments we propose a practical implementation of an optimal experimental design protocol that combines parameter estimation tools with sensitivity analysis, in order to minimize the number of additional experiments to perform. © 2008 Springer-Verlag Berlin Heidelberg.

Cited by Powered by Scopus

Simulation methods with extended stability for stiff biochemical Kinetics

23Citations
N/AReaders
Get full text

PAR: A PARallel and distributed job crusher

7Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

García De Lomana, A. L., Gómez-Garrido, À., Sportouch, D., & Villà-Freixa, J. (2008). Optimal experimental design in the modelling of pattern formation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5101 LNCS, pp. 610–619). https://doi.org/10.1007/978-3-540-69384-0_66

Readers over time

‘16‘18‘19‘20‘2201234

Readers' Seniority

Tooltip

Professor / Associate Prof. 3

75%

PhD / Post grad / Masters / Doc 1

25%

Readers' Discipline

Tooltip

Chemistry 3

75%

Social Sciences 1

25%

Save time finding and organizing research with Mendeley

Sign up for free
0