The effects of protein interactions, gene essentiality and regulatory regions on expression variation
Article Quality & Performance Metrics
Readership in this journal
StarRanked #1 of 14 articles by views in bmc systems biology
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
Abstract
Abstract
Background
Identifying factors affecting gene expression variation is a challenging problem in genetics. Previous studies have shown that the presence of TATA box, the number of cis-regulatory elements, gene essentiality, and protein interactions significantly affect gene expression variation. Nonetheless, the need to obtain a more complete understanding of such factors and how their interactions influence gene expression variation remains a challenge. The growth rates of yeast cells under several DNA-damaging conditions have been studied and a gene's toxicity degree is defined as the number of such conditions that the growth rate of the yeast deletion strain is significantly affected. Since toxicity degree reflects a gene's importance to cell survival under DNA-damaging conditions, we expect that it is negatively associated with gene expression variation. Mutations in both cis-regulatory elements and transcription factors (TF) regulating a gene affect the gene's expression and thus we study the relationship between gene expression variation and the number of TFs regulating a gene. Most importantly we study how these factors interact with each other influencing gene expression variation.
Results
Using yeast as a model system, we evaluated the effects of four separate factors and their interactions on gene expression variation: protein interaction degree, toxicity degree, number of TFs, and the presence of TATA box. Results showed that 1) gene expression variation is negatively correlated with the protein interaction degree in the protein interaction network, 2) essential genes tend to have less expression variation than non-essential genes and gene expression variation decreases with toxicity degree, and 3) the number of TFs regulating a gene is the most important factor influencing gene expression variation (R2 = 8–14%). In addition, the number of TFs regulating a gene was found to be an important factor influencing gene expression variation for both TATA-containing and non-TATA-containing genes, but with different association strength. Moreover, gene expression variation was significantly negatively correlated with toxicity degree only for TATA-containing genes.
Conclusion
The finding that distinct mechanisms may influence gene expression variation in TATA-containing and non-TATA-containing genes, provides new insights into the mechanisms that underlie the evolution of gene expression.
| Reference Key |
fengzhu2008thebmc
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Fengzhu, Sun;Xiaotu, Ma;Linqi, Zhou; |
| Journal | bmc systems biology |
| Year | 2008 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
ZincirX productsfrom the team behind Journament
-
PatentYazar
Patent drafts for the EPO, USPTO and TürkPatent
From inventor notes to a DOCX draft: description, claims, abstract. The machine drafts, the attorney signs.
See how it works (opens in a new tab) -
Projenator
Have a project idea? Score and plan it with AI
AI scores your idea in five dimensions and builds a phased plan. Your first project is free, no card needed.
Start your first project (opens in a new tab)
Cookies
We use strictly necessary cookies to run the site and keep you signed in. With your permission we would also use Google Analytics to see how the site is used, and Google AdSense to show ads on journal and article pages. Both stay off unless you accept, and you can change your mind at any time. How we use cookies · KVKK notice (Türkiye)
Cookie settings
Comments
No comments yet. Be the first to comment on this article.