Affordable Access

Publisher Website

Growth control in the Drosophila wing disk.

Authors
  • Gou, Jia1
  • Stotsky, Jay A1
  • Othmer, Hans G1
  • 1 School of Mathematics, University of Minnesota, Minneapolis, Minnesota.
Type
Published Article
Journal
Wiley Interdisciplinary Reviews Systems Biology and Medicine
Publisher
Wiley (John Wiley & Sons)
Publication Date
May 01, 2020
Volume
12
Issue
3
Identifiers
DOI: 10.1002/wsbm.1478
PMID: 31917525
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

The regulation of size and shape is a fundamental requirement of biological development and has been a subject of scientific study for centuries, but we still lack an understanding of how organisms know when to stop growing. Imaginal wing disks of the fruit fly Drosophila melanogaster, which are precursors of the adult wings, are an archetypal tissue for studying growth control. The growth of the disks is dependent on many inter- and intra-organ factors such as morphogens, mechanical forces, nutrient levels, and hormones that influence gene expression and cell growth. Extracellular signals are transduced into gene-control signals via complex signal transduction networks, and since cells typically receive many different signals, a mechanism for integrating the signals is needed. Our understanding of the effect of morphogens on tissue-level growth regulation via individual pathways has increased significantly in the last half century, but our understanding of how multiple biochemical and mechanical signals are integrated to determine whether or not a cell decides to divide is still rudimentary. Numerous fundamental questions are involved in understanding the decision-making process, and here we review the major biochemical and mechanical pathways involved in disk development with a view toward providing a basis for beginning to understand how multiple signals can be integrated at the cell level, and how this translates into growth control at the level of the imaginal disk. This article is categorized under: Analytical and Computational Methods > Computational Methods Biological Mechanisms > Cell Signaling Models of Systems Properties and Processes > Cellular Models. © 2020 Wiley Periodicals, Inc.

Report this publication

Statistics

Seen <100 times