Dataset Information

Multiple-Localization and Hub Proteins.

ABSTRACT: Protein-protein interactions are fundamental for all biological phenomena, and protein-protein interaction networks provide a global view of the interactions. The hub proteins, with many interaction partners, play vital roles in the networks. We investigated the subcellular localizations of proteins in the human network, and found that the ones localized in multiple subcellular compartments, especially the nucleus/cytoplasm proteins (NCP), the cytoplasm/cell membrane proteins (CMP), and the nucleus/cytoplasm/cell membrane proteins (NCMP), tend to be hubs. Examinations of keywords suggested that among NCP, those related to post-translational modifications and transcription functions are the major contributors to the large number of interactions. These types of proteins are characterized by a multi-domain architecture and intrinsic disorder. A survey of the typical hub proteins with prominent numbers of interaction partners in the type revealed that most are either transcription factors or co-regulators involved in signaling pathways. They translocate from the cytoplasm to the nucleus, triggered by the phosphorylation and/or ubiquitination of intrinsically disordered regions. Among CMP and NCMP, the contributors to the numerous interactions are related to either kinase or ubiquitin ligase activity. Many of them reside on the cytoplasmic side of the cell membrane, and act as the upstream regulators of signaling pathways. Overall, these hub proteins function to transfer external signals to the nucleus, through the cell membrane and the cytoplasm. Our analysis suggests that multiple-localization is a crucial concept to characterize groups of hub proteins and their biological functions in cellular information processing.

SUBMITTER: Ota M

PROVIDER: S-EPMC4902230 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Multiple-Localization and Hub Proteins.

Ota Motonori M Gonja Hideki H Koike Ryotaro R Fukuchi Satoshi S

PloS one 20160610 6

Protein-protein interactions are fundamental for all biological phenomena, and protein-protein interaction networks provide a global view of the interactions. The hub proteins, with many interaction partners, play vital roles in the networks. We investigated the subcellular localizations of proteins in the human network, and found that the ones localized in multiple subcellular compartments, especially the nucleus/cytoplasm proteins (NCP), the cytoplasm/cell membrane proteins (CMP), and the nucl ...[more]

PMID: 27285823

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Project description:A considerable proportion of protein-protein interactions (PPIs) in the cell are estimated to be mediated by very short peptide segments that approximately conform to specific sequence patterns known as linear motifs (LMs), often present in the disordered regions in the eukaryotic proteins. These peptides have been found to interact with low affinity and are able bind to multiple interactors, thus playing an important role in the PPI networks involving date hubs. In this work, PPI data and de novo motif identification based method (MEME) were used to identify such peptides in three cancer-associated hub proteins-MYC, APC and MDM2. The peptides corresponding to the significant LMs identified for each hub protein were aligned, the overlapping regions across these peptides being termed as overlapping linear peptides (OLPs). These OLPs were thus predicted to be responsible for multiple PPIs of the corresponding hub proteins and a scoring system was developed to rank them. We predicted six OLPs in MYC and five OLPs in MDM2 that scored higher than OLP predictions from randomly generated protein sets. Two OLP sequences from the C-terminal of MYC were predicted to bind with FBXW7, component of an E3 ubiquitin-protein ligase complex involved in proteasomal degradation of MYC. Similarly, we identified peptides in the C-terminal of MDM2 interacting with FKBP3, which has a specific role in auto-ubiquitinylation of MDM2. The peptide sequences predicted in MYC and MDM2 look promising for designing orthosteric inhibitors against possible disease-associated PPIs. Since these OLPs can interact with other proteins as well, these inhibitors should be specific to the targeted interactor to prevent undesired side-effects. This computational framework has been designed to predict and rank the peptide regions that may mediate multiple PPIs and can be applied to other disease-associated date hub proteins for prediction of novel therapeutic targets of small molecule PPI modulators.

Project description:BackgroundWhole-mount in situ hybridization (WISH) is a fundamental tool for studying the spatio-temporal expression pattern of RNA molecules in intact embryos and tissues. The available methodologies for detecting mRNAs in embryos rely on enzymatic activities and chemical reactions that generate diffusible products, which are not fixed to the detected RNA, thereby reducing the spatial resolution of the technique. In addition, current WISH techniques are time-consuming and are usually not combined with methods reporting the expression of protein molecules.ResultsThe protocol we have developed and present here is based on the RNAscope technology that is currently employed on formalin-fixed, paraffin-embedded and frozen tissue sections for research and clinical applications. By using zebrafish embryos as an example, we provide a robust and rapid method that allows the simultaneous visualization of multiple transcripts, demonstrated here for three different RNA molecules. The optimized procedure allows the preservation of embryo integrity, while exhibiting excellent signal-to-noise ratios. Employing this method thus allows the determination of the spatial expression pattern and subcellular localization of multiple RNA molecules relative to each other at high resolution, in the three-dimensional context of the developing embryo or tissue under investigation. Lastly, we show that this method preserves the function of fluorescent proteins that are expressed in specific cells or cellular organelles and conserves antigenicity, allowing protein detection using antibodies.ConclusionsBy fine-tuning the RNAscope technology, we have successfully redesigned the protocol to be compatible with whole-mount embryo samples. Using this robust method for zebrafish and extending it to other organisms would have a strong impact on research in developmental, molecular and cell biology. Of similar significance would be the adaptation of the method to whole-mount clinical samples. Such a protocol would contribute to biomedical research and clinical diagnostics by providing information regarding the three-dimensional expression pattern of clinical markers.

Dataset Information

Multiple-Localization and Hub Proteins.

Publications

Multiple-Localization and Hub Proteins.

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