Protein-protein interactions

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PROTEIN-PROTEIN INTERACTIONS
Presentation transcript:

Protein-protein interactions

Three types of interactions Interactions between domains in multidomain proteins Interactions between the domains in stable complexes Interactions between proteins in transient interactions

Stable complexes The proteins in stable complexes tend to be more closely co-expressed and more closely conserved compared to proteins in transient interactions and monomeric proteins

Yeast-two-hybrid screens Uses the transcription of a reporter gene driven by the Gal4 transcription factor to monitor whether or not two proteins are interacting

Yeast-two-hybrid screens RNApol B A Gal4-AD Gal4-DBD DBD = transcription factor AD = activation domain

Yeast-two-hybrid screens RNApol B A Gal4-AD Gal4-DBD Reporter gene DBD = transcription factor AD = activation domain

Computational methods Conservation of gene order In prokaryotes, genes are organized into operons of co-regulated and co-expressed groups of genes Genes that are consistently part of the same operon across different, distantly related genomes are likely to be part of the same protein complex or functional process across all species They have been selected to remain as a co-regulated unit throughout the extensive shuffling of gene order that takes place in prokaryote genomes

Computational methods

Computational methods Gene fusions Look for cases across a set of genomes where two or more orthologs are part of the same gene in one genome, presumably as a result of gene fusion The prediction is that the orthologs that are separate genes in other genomes interact with each other Fused proteins are not only co-regulated, as in the conservation of gene order, but also permanently co-localized in the cell This method is limited to certain classes of protein-protein interactions: members of the same stable complex proteins in the same metabolic pathway

Computational methods yeast E. coli

Computational methods Phylogenetic methods Relies on the detection of homologs in a set of genomes If the pattern of homolog presence or absence is the same in a group of proteins, then these proteins are clustered together as belonging to the same functional class

Computational methods Predicted to interact Gene 1 Gene 2 Gene 3 Gene 4 Gene 5 Gene 6 Genome 1 Genome 2 Genome 3 Genome 4

Protein chips Miniature devices on which proteins, or specific capture agents that interact with proteins, are arrayed Protein chips can act to separate proteins on the basis of specific affinity characterize proteins if the capture agent is highly specific (e.g., antibodies) Advantage: ultra-high throughput analysis

Protein chips Antibody chips Antigen chips Universal protein arrays Arrayed antibodies used to detect and quantify specific proteins Antigen chips Arrayed protein antigens used to detect and quantify antibodies Universal protein arrays Any kind of proteins arrayed to detect or characterize protein-protein and protein-ligand interactions Protein capture chips Arrayed non-protein capture agents Solution arrays Coded microspheres or barcoded nanoparticles  next generation

Protein chips