Protein complexes: the forest and the trees

Chromatin Immunoprecipitation

Chromatin immunoprecipitation, commonly referred to as ChIP, is a powerful technique for the evaluation of in vivo interactions of proteins with specific regions of genomic DNA. Formaldehyde is used in this technique to cross-link proteins to DNA in vivo, followed by the extraction of chromatin from cross-linked cells and tissues. Harvested chromatin is sheared and subsequently used in an immunoprecipitation incorporating antibodies specific to protein(s) of interest and thus coprecipitating and enriching the cross-linked, protein-associated DNA. The cross-linking process can be reversed, and protein-bound DNA fragments of optimal length ranging from 200 to 1000 base pairs (bp) can subsequently be purified and measured or sequenced by numerous analytical methods. In this protocol, two different fixation methods are described in detail. The first involves the standard fixation of cells and tissue by formaldehyde if the target antigen is highly abundant. The dual cross-linking procedure presented at the end includes an additional preformaldehyde cross-linking step and can be especially useful when the target protein is in low abundance or if it is indirectly associated with chromatin DNA through another protein.

Detecting Protein Complexes in Protein Interaction Networks Modeled as Gene Expression Biclusters

Developing suitable methods for the detection of protein complexes in protein interaction networks continues to be an intriguing area of research. The importance of this objective originates from the fact that protein complexes are key players in most cellular processes. The more complexes we identify, the better we can understand normal as well as abnormal molecular events. Up till now, various computational methods were designed for this purpose. However, despite their notable performance, questions arise regarding potential ways to improve them, in addition to ameliorative guidelines to introduce novel approaches. A close interpretation leads to the assent that the way in which protein interaction networks are initially viewed should be adjusted. These networks are dynamic in reality and it is necessary to consider this fact to enhance the detection of protein complexes. In this paper, we present "DyCluster", a framework to model the dynamic aspect of protein interaction networks by incorporating gene expression data, through biclustering techniques, prior to applying complex-detection algorithms. The experimental results show that DyCluster leads to higher numbers of correctly-detected complexes with better evaluation scores. The high accuracy achieved by DyCluster in detecting protein complexes is a valid argument in favor of the proposed method. DyCluster is also able to detect biologically meaningful protein groups. The code and datasets used in the study are downloadable from https://github.com/emhanna/DyCluster.

Discovery of cell compartment specific protein-protein interactions using affinity purification combined with tandem mass spectrometry

Affinity purification combined with tandem mass spectrometry (AP-MS/MS) is a well-established method used to discover interaction partners for a given protein of interest. Because most AP-MS/MS approaches are performed using the soluble fraction of whole cell extracts (WCE), information about the cellular compartments where the interactions occur is lost. More importantly, classical AP-MS/MS often fails to identify interactions that take place in the nonsoluble fraction of the cell, for example, on the chromatin or membranes; consequently, protein complexes that are less soluble are underrepresented. In this paper, we introduce a method called multiple cell compartment AP-MS/MS (MCC-AP-MS/MS), which identifies the interactions of a protein independently in three fractions of the cell: the cytoplasm, the nucleoplasm, and the chromatin. We show that this fractionation improves the sensitivity of the method when compared to the classical affinity purification procedure using soluble WCE while keeping a very high specificity. Using three proteins known to localize in various cell compartments as baits, the CDK9 subunit of transcription elongation factor P-TEFb, the RNA polymerase II (RNAP II)-associated protein 4 (RPAP4), and the largest subunit of RNAP II, POLR2A, we show that MCC-AP-MS/MS reproducibly yields fraction-specific interactions. Finally, we demonstrate that this improvement in sensitivity leads to the discovery of novel interactions of RNAP II carboxyl-terminal domain (CTD) interacting domain (CID) proteins with POLR2A.