Name
Abstract | ||
|---|---|---|
Protein complexes play a critical role in many cellular processes, but the extent to which they need co-expression among their subunits is still unclear. Intuitively, functional modularity and co-expression may be important factors that contribute to evolutionary constraint on protein complexes; however, their exact contributions are not clear. Here, we collected two high confidence yeast protein complex datasets and ten gene expression datasets. Then, we constructed ten gene co-expression networks and proposed a complex co-expressed density (CCD) measure, which is defined as the percentage of interactions within a complex that show significant co-expression. As a result, we found that about sixty percent of protein complexes in the MIPS dataset and about fifty percent of protein complexes in the CYC2008 dataset tend to be significantly co-expressed. Subsequently, we found that co-expression of a protein complex does not depend on its size. Furthermore, we found that co-expression is an important constraint that not only keeps proteins within complexes evolving at lower rates but also keeps protein pairs within complexes evolving at more similar rates. On the other hand, we found that functional modularity without co-expression does not have such a property. In summary, our study gave a clearer relationship between protein complexes and co-expression, and underscored co-expression as an important constraint on protein complex evolution. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/BICTA.2010.5645088 | BIC-TA |
Keywords | Field | DocType |
evolution (biological),proteins,coexpressed density measure,cellular process,biology,functional modularity,protein complex,gene coexpression networks,evolutionary constraint,bioinformatics,genomics,gene expression | Gene,Computer science,Gene expression,Genomics,Artificial intelligence,Computational biology,Genetics,Modularity,Cellular process,Machine learning,Yeast Protein Complex | Conference |
Volume | Issue | ISBN |
null | null | 978-1-4244-6437-1 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaifang Pang | 1 | 38 | 3.36 |
| Guanqun Liang | 2 | 1 | 1.65 |
| Joseph K. Siror | 3 | 6 | 2.61 |
| Huanye Sheng | 4 | 79 | 18.33 |