Power law governs gene expression

Click For Summary
SUMMARY

The discussion centers on the findings of Hiroki Ueda and colleagues regarding the role of power laws in gene expression, as reported in the March 1 PNAS. Their research demonstrates that power law dynamics, specifically "rich-travel-more," govern gene expression levels across various organisms and within specific organs or developmental stages. This study utilizes data from public genome databases and microarray analyses, establishing a mathematical framework for understanding gene expression at a systems level (PNAS, DOI:10.1073/pnas.0306244101).

PREREQUISITES
  • Understanding of power law dynamics in biological systems
  • Familiarity with microarray analysis techniques
  • Knowledge of genomic databases and their applications
  • Basic principles of gene expression and developmental biology
NEXT STEPS
  • Explore the mathematical foundations of power laws in biological contexts
  • Investigate advanced microarray analysis methods
  • Study the implications of gene expression variability in developmental biology
  • Review additional research on systems biology and gene regulatory networks
USEFUL FOR

Researchers in genetics, systems biologists, and bioinformaticians interested in the mathematical modeling of gene expression and its implications across different organisms.

iansmith
Staff Emeritus
Science Advisor
Gold Member
Messages
1,317
Reaction score
2
http://www.biomedcentral.com/news/20040303/01

Proportional dynamics illustrates commonality of gene expression levels in all organisms | By Cathy Holding



With an ever-increasing number of genomes available for analysis, there has been a shift in emphasis away from the study of single genes and a greater attempt to understand gene expression at the network or systems level. A report in the March 1 PNAS shows that power laws—a universal mathematical dynamic—govern the process.

Hiroki Ueda and colleagues at the Center for Developmental Biology describe the mathematical principle underlying observed levels of gene expression. They used information from public databases of whole genome sequences and from their own microarray analyses. Proportional dynamics, also known as “rich-travel-more,” showed that power law levels of gene expression were observed not only in different organisms, but also within discrete organs or at specific developmental times in the same organism (PNAS, DOI:10.1073/pnas.0306244101, March 1, 2004).
 
Last edited by a moderator:
Biology news on Phys.org
what is a power law then?
 
http://ginger.hpl.hp.com/shl/papers/ranking/ranking.html
 
Last edited by a moderator:

Similar threads

Replies
3
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 4 ·
Replies
4
Views
4K
  • · Replies 48 ·
2
Replies
48
Views
11K
  • · Replies 22 ·
Replies
22
Views
5K
  • · Replies 9 ·
Replies
9
Views
5K
  • · Replies 28 ·
Replies
28
Views
6K