Scientists & Research
  Overview  
dashed line
  FindSci  
dashed line
Scientific Competitions
dashed line
HHMI Investigators
dashed line
  JFRC Scientists  
dashed line
  Internatinal Scholars  
dashed line
  Profs  
dashed line
  Nobel Laureates  

HHMI-NIH Research Scholars
Learn about the HHMI-NIH Research Scholars Program, also known as the Cloister Program. Moresmall arrow

dashed line

Janelia Farm Research Campus
Learn about the new HHMI research campus located in Virginia. Moresmall arrow

Genetic Analysis of Growth and Homeostasis


Summary: Norbert Perrimon is using functional genomic approaches to identify molecular mechanisms that link physiology, cell biology, and cell differentiation.

The central objective of developmental biology is to understand how organisms grow and develop. In the past 30 years, studies using genetically tractable model organisms have led to a detailed understanding of the genetic mechanisms involved in the control of developmental events, as illustrated by our intimate knowledge of patterning and morphogenesis. The next big questions are how complex phenotypes arise in the context of the whole organism and how the programs regulating their development and function are influenced by genetic background and environment. For example, little is understood about how the simultaneous growth and differentiation of different tissues is coordinated and how the development of different cell types and tissues is integrated within an organ.

To address some of these questions, we have initiated a number of studies on muscle growth during Drosophila larval development. This system provides opportunities to identify molecular mechanisms that link physiology, cell biology, and cell differentiation. During larval growth, individual muscles grow almost 100-fold in four days. This tremendous growth occurs in the absence of change in the number of nuclei and is easily visualized by the addition of new sarcomeres to the preexisting myofibrils. This process relies on an increase in ploidy of the existing nuclei, protein synthesis, and mitochondriogenesis, and is thought to be regulated by the Tor pathway that links amino acid and growth factor levels with muscle cell growth. During growth phase, new sarcomeres are added to "assembly centers" at the muscle edge. Starvation reverses this process, as the sarcomeres are degraded by proteolysis and the cytoplasm is consumed by autophagy. Myofibrillar protein degradation occurs primarily through the proteasome, while autophagy breaks down the rest of the cytoplasm and organelles. The dynamic regulation of muscle growth provides a paradigm to address how physiology influences aspects of cell biology and differentiation. In addition, analysis of muscle growth and homeostasis may also shed light on the muscle wasting that is commonly associated with lack of exercise and a number of human diseases, and that is somehow prevented in hibernating animals.

We are addressing a number of questions with regard to muscle growth and its maintenance. First, although many of the proteins that constitute the sarcomeres are known, the mechanisms that regulate their assembly at the muscle edges are not. Second, we are characterizing the extent to which muscle growth can adjust to the physiological milieu and how this homeostatic response correlates with a change in protein translation and gene expression. In particular, because microRNAs have been implicated in muscle growth, we wish to understand the role of these small noncoding RNAs in protein translation. Third, to address how muscles sense fluctuations in hemolymph nutrients (amino acids, glucose, triglycerides) that accompany changes in diet, we are focusing on the role of the insulin pathway in the control of the assembly of sarcomeres and autophagy in muscle cells.

To address these issues, we are using a variety of state-of-the-art technologies. In particular, to identify genes involved in sarcomere organization and growth, we are using our high-throughput, genome-wide screening platform (http://flyrnai.org/) to conduct RNA interference (RNAi) screens in cultured Drosophila primary muscle cells under various nutrient conditions. Cells isolated from gastrula differentiate into muscles within hours and are sensitive to RNAi, which makes it possible to identify genes that affect growth and sarcomere differentiation. To facilitate the analysis of the genome-wide screens, we are developing algorithms for automated image analyses that provide quantitation of cellular features describing muscle growth and shape. Furthermore, to complement the tissue culture approach and provide validation of the genes identified in the RNAi screens, we are building a large collection of transgenic UAS-hairpin RNAi lines to knock down gene function exclusively in larval muscles, using muscle-specific Gal4 drivers. Finally, we are building a comprehensive network of the genes involved in the regulation of growth and homeostasis to provide a "system level" understanding. Our approach is to integrate data sets from the functional screens with those from the time course gene expression microarrays in muscle under different physiological conditions. This allows us to correlate reduction of given components by RNAi with their corresponding transcriptional consequences.

Last updated: November 12, 2008

HHMI INVESTIGATOR

Norbert Perrimon
Norbert Perrimon
 

Related Links

AT HHMI

bullet icon

There's Gold in Those Archives

bullet icon

Researchers Identify Fruit Fly Intestinal Stem Cells
(12.07.05)

bullet icon

Genetic Tool Reaps Rich Harvest
(04.07.05)

bullet icon

Fruit Fly Will Aid Blood Studies
(07.12.04)

bullet icon

A Large-Scale Look at Gene Function
(02.05.04)

bullet icon

Three Genes Linked to Malignant Epithelial Growth
(07.06.00)

ON THE WEB

external link icon

The Perrimon Lab
(harvard.edu)

search icon Search PubMed
dashed line
 Back to Topto the top
© 2009 Howard Hughes Medical Institute. A philanthropy serving society through biomedical research and science education.
4000 Jones Bridge Road, Chevy Chase, MD 20815-6789 | (301) 215-8500 | email: webmaster@hhmi.org