Detecting coordinated regulation of multi-protein complexes using logic analysis of gene expression.
BACKGROUND
Many of the functional units in cells are multi-protein complexes such as RNA polymerase, the ribosome, and the proteasome. For such units to work together, one might expect a high level of regulation to enable co-appearance or repression of sets of complexes at the required time. However, this type of coordinated regulation between whole complexes is difficult to detect by existing methods for analyzing mRNA co-expression. We propose a new methodology that is able to detect such higher order relationships.


RESULTS
We detect coordinated regulation of multiple protein complexes using logic analysis of gene expression data. Specifically, we identify gene triplets composed of genes whose expression profiles are found to be related by various types of logic functions. In order to focus on complexes, we associate the members of a gene triplet with the distinct protein complexes to which they belong. In this way, we identify complexes related by specific kinds of regulatory relationships. For example, we may find that the transcription of complex C is increased only if the transcription of both complex A AND complex B is repressed. We identify hundreds of examples of coordinated regulation among complexes under various stress conditions. Many of these examples involve the ribosome. Some of our examples have been previously identified in the literature, while others are novel. One notable example is the relationship between the transcription of the ribosome, RNA polymerase and mannosyltransferase II, which is involved in N-linked glycan processing in the Golgi.


CONCLUSIONS
The analysis proposed here focuses on relationships among triplets of genes that are not evident when genes are examined in a pairwise fashion as in typical clustering methods. By grouping gene triplets, we are able to decipher coordinated regulation among sets of three complexes. Moreover, using all triplets that involve coordinated regulation with the ribosome, we derive a large network involving this essential cellular complex. In this network we find that all multi-protein complexes that belong to the same functional class are regulated in the same direction as a group (either induced or repressed).
Sprinzak
Einat
E
UCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, CA, USA. einat@mbi.ucla.edu
Cokus
Shawn J
SJ
Yeates
Todd O
TO
Eisenberg
David
D
Pellegrini
Matteo
M
D001343:Autophagy / Q000235:genetics; D020717:Eukaryotic Initiation Factor-2B / Q000378:metabolism; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D006031:Glycosylation; D008128:Logic; D008364:Mannosyltransferases / Q000378:metabolism; D020411:Oligonucleotide Array Sequence Analysis; D014176:Protein Biosynthesis; D011506:Proteins / Q000235:genetics* / Q000378:metabolism*; D012318:RNA Polymerase I / Q000378:metabolism; D012320:RNA Polymerase III / Q000378:metabolism; D054683:Ribosome Subunits, Large, Eukaryotic / Q000378:metabolism; D054682:Ribosome Subunits, Small, Eukaryotic / Q000378:metabolism; D012441:Saccharomyces cerevisiae / Q000166:cytology / Q000235:genetics / Q000378:metabolism; D029701:Saccharomyces cerevisiae Proteins / Q000096:biosynthesis / Q000235:genetics / Q000378:metabolism
D020717:Eukaryotic Initiation Factor-2B; D011506:Proteins; D029701:Saccharomyces cerevisiae Proteins; D008364:Mannosyltransferases; D012318:RNA Polymerase I; D012320:RNA Polymerase III