Can I read Gradient model describes the spatial-temporal expression pattern of HOXA genes in the developing vertebrate limb on EtoBox?

Gradient model describes the spatial-temporal expression pattern of HOXA genes in the developing vertebrate limb by Spyros Papageorgiou; Yannis Almirantis is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Gradient model describes the spatial-temporal expression pattern of HOXA genes in the developing vertebrate limb about?

Pattern formation of the developing vertebrate limb is mainly controlled by the zone of polarizing activity (ZPA) and the apical ectodermal ridge (AER) which may act as sources of diffusing morphogens. These sources are tightly interconnected and maintained by positive feedback and, together with the established role of Wnt7a on the dorsal side of the bud, they constitute a Cartesian reference frame for the processes of patterning and growth of the limb bud. As an input to our model we have used the local extent and temporal activity of the AER source as it is reflected by F g f 4 expression in the ridge. We have assumed that this source produces a morphogen which diffuses in the three-dimensional limb field and degradates by first-order kinetics. When in a cell the morphogen concentration exceeds a particular threshold value, a gene is switched on. To every threshold corresponds a specific gene. In the following we introduce an order of increasing concentration thresholds corresponding to the sequence of Hoxa-10,11, and 13 genes (threshold collinearity). With this simple rule of correspondence we can reproduce both spatial and temporal collinearities of Hoxa gene expression. This

Who reads Gradient model describes the spatial-temporal expression pattern of HOXA genes in the developing vertebrate limb?

Author

Spyros Papageorgiou; Yannis Almirantis

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 1058-8388)

Published

1996

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)