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Identification of FBXO25-interacting proteins using an integrated proteomics approach.

ABSTRACT: FBXO25 is one of the 68 human F-box proteins that serve as specificity factors for a family of ubiquitin ligases composed of s-phase-kinase associated protein 1, really interesting new gene-box 1, Cullin 1, and F-box protein (SCF1) that are involved in targeting proteins for destruction across the ubiquitin proteasome system. We recently reported that the FBXO25 protein accumulates in novel subnuclear structures named FBXO25-associated nuclear domains (FAND). Combining two-step affinity purification followed by MS with a classical two-hybrid screen, we identified 132 novel potential FBXO25 interacting partners. One of the identified proteins, beta-actin, physically interacts through its N-terminus with FBXO25 and is enriched in the FBXO25 nuclear compartments. Inhibitors of actin polymerization promote a significant disruption of FAND, indicating that they are compartments influenced by the organizational state of actin in the nucleus. Furthermore, FBXO25 antibodies interfered with RNA polymerase II transcription in vitro. Our results open new perspectives for the understanding of this novel compartment and its nuclear functions.

SUBMITTER: Teixeira FR

PROVIDER: S-EPMC3034404 | biostudies-other | 2010 Aug

REPOSITORIES: biostudies-other

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Identification of FBXO25-interacting proteins using an integrated proteomics approach.

Teixeira Felipe R FR Yokoo Sami S Gartner Carlos A CA Manfiolli Adriana O AO Baqui Munira M A MM Assmann Eliana M EM Maragno Ana Leticia G C AL Yu Huijun H de Lanerolle Primal P Kobarg Jörg J Gygi Steven P SP Gomes Marcelo Damário MD

Proteomics 20100801 15

FBXO25 is one of the 68 human F-box proteins that serve as specificity factors for a family of ubiquitin ligases composed of s-phase-kinase associated protein 1, really interesting new gene-box 1, Cullin 1, and F-box protein (SCF1) that are involved in targeting proteins for destruction across the ubiquitin proteasome system. We recently reported that the FBXO25 protein accumulates in novel subnuclear structures named FBXO25-associated nuclear domains (FAND). Combining two-step affinity purifica ...[more]

PMID: 20473970

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Project description:BackgroundSmall molecular cofactors or ligands play a crucial role in the proper functioning of cells. Accurate annotation of their target proteins and binding sites is required for the complete understanding of reaction mechanisms. Nicotinamide adenine dinucleotide (NAD+ or NAD) is one of the most commonly used organic cofactors in living cells, which plays a critical role in cellular metabolism, storage and regulatory processes. In the past, several NAD binding proteins (NADBP) have been reported in the literature, which are responsible for a wide-range of activities in the cell. Attempts have been made to derive a rule for the binding of NAD+ to its target proteins. However, so far an efficient model could not be derived due to the time consuming process of structure determination, and limitations of similarity based approaches. Thus a sequence and non-similarity based method is needed to characterize the NAD binding sites to help in the annotation. In this study attempts have been made to predict NAD binding proteins and their interacting residues (NIRs) from amino acid sequence using bioinformatics tools.ResultsWe extracted 1556 proteins chains from 555 NAD binding proteins whose structure is available in Protein Data Bank. Then we removed all redundant protein chains and finally obtained 195 non-redundant NAD binding protein chains, where no two chains have more than 40% sequence identity. In this study all models were developed and evaluated using five-fold cross validation technique on the above dataset of 195 NAD binding proteins. While certain type of residues are preferred (e.g. Gly, Tyr, Thr, His) in NAD interaction, residues like Ala, Glu, Leu, Lys are not preferred. A support vector machine (SVM) based method has been developed using various window lengths of amino acid sequence for predicting NAD interacting residues and obtained maximum Matthew's correlation coefficient (MCC) 0.47 with accuracy 74.13% at window length 17. We also developed a SVM based method using evolutionary information in the form of position specific scoring matrix (PSSM) and obtained maximum MCC 0.75 with accuracy 87.25%.ConclusionFor the first time a sequence-based method has been developed for the prediction of NAD binding proteins and their interacting residues, in the absence of any prior structural information. The present model will aid in the understanding of NAD+ dependent mechanisms of action in the cell. To provide service to the scientific community, we have developed a user-friendly web server, which is available from URL http://www.imtech.res.in/raghava/nadbinder/.

Dataset Information

Identification of FBXO25-interacting proteins using an integrated proteomics approach.

Publications

Identification of FBXO25-interacting proteins using an integrated proteomics approach.

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