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2009

Regulation of Epidermal Growth Factor Receptor Trafficking by Lysine Deacetylase HDAC6.

Lissanu Deribe Y, Wild P, Chandrashaker A, Curak J, Schmidt MH, Kalaidzidis Y, Milutinovic N, Kratchmarova I, Buerkle L, Fetchko MJ, Schmidt P, Kittanakom S, Brown KR, Jurisica I, Blagoev B, Zerial M, Stagljar I, Dikic I.

 

Binding of epidermal growth factor (EGF) to its receptor leads to receptor dimerization, assembly of protein complexes, and activation of signaling networks that control key cellular responses. Despite their fundamental role in cell biology, little is known about protein complexes associated with the EGF receptor (EGFR) before growth factor stimulation. We used a modified membrane yeast two-hybrid system together with bioinformatics to identify 87 candidate proteins interacting with the ligand-unoccupied EGFR. Among them was histone deacetylase 6 (HDAC6), a cytoplasmic lysine deacetylase, which we found negatively regulated EGFR endocytosis and degradation by controlling the acetylation status of alpha-tubulin and, subsequently, receptor trafficking along microtubules. A negative feedback loop consisting of EGFR-mediated phosphorylation of HDAC6 Tyr(570) resulted in reduced deacetylase activity and increased acetylation of alpha-tubulin. This study illustrates the complexity of the EGFR-associated interactome and identifies protein acetylation as a previously unknown regulator of receptor endocytosis and degradation.

MSQuant, an Open Source Platform for Mass Spectrometry-Based Quantitative Proteomics.

Mortensen Peter, Gouw Joost W, Olsen Jesper V, Ong Shao-En, Rigbolt Kristoffer T G, Bunkenborg Jakob, Cox Jürgen, Foster Leonard J, Heck Albert J R, Blagoev Blagoy, Andersen Jens S, Mann Matthias.

 

Mass spectrometry-based proteomics critically depends on algorithms for data interpretation. A current bottleneck in the rapid advance of proteomics technology is the closed nature and slow development cycle of vendor-supplied software solutions. We have created an open source software environment, called MSQuant, which allows visualization and validation of peptide identification results directly on the raw mass spectrometric data. MSQuant iteratively recalibrates MS data thereby significantly increasing mass accuracy leading to fewer false positive peptide identifications. Algorithms to increase data quality include an MS(3) score for peptide identification and a post-translational modification (PTM) score that determines the probability that a modification such as phosphorylation is placed at a specific residue in an identified peptide. MSQuant supports relative protein quantitation based on precursor ion intensities, including element labels (e.g., (15)N), residue labels (e.g., SILAC and ICAT), termini labels (e.g., (18)O), functional group labels (e.g., mTRAQ), and label-free ion intensity approaches. MSQuant is available, including an installer and supporting scripts, at http://msquant.sourceforge.net .

Identification of SUMO target proteins by quantitative proteomics.

Andersen Jens S, Matic Ivan, Vertegaal Alfred C O.

 

The identification of target proteins for small ubiquitin-like modifiers (SUMOs) is a critical step towards a detailed understanding of the cellular functions of SUMOs. Substrate protein identification for SUMOs is hampered by the low abundance of SUMO targets, the finding that only a small fraction of these target proteins is sumoylated, and the high activity of deconjugating enzymes. Quantitative proteomics is a powerful tool to overcome these challenges, because it allows discrimination between contaminating proteins in SUMO-enriched preparations and true target proteins. In this chapter, the methodological details of the application of stable isotope labeling of amino acids in cell culture (SILAC) for the identification of target proteins for SUMOs are described. In addition to steady state sumoylation, the sumoylated proteome undergoes dynamic rearrangements in response to a diverse array of stimuli. SILAC also allows the study of sumoylation dynamics in response to these stimuli.

Matrix protein 2 of influenza A virus blocks autophagosome fusion with lysosomes.

Gannagé Monique, Dormann Dorothee, Albrecht Randy, Dengjel Jörn, Torossi Tania, Rämer Patrick C, Lee Monica, Strowig Till, Arrey Frida, Conenello Gina, Pypaert Marc, Andersen Jens, García-Sastre Adolfo, Münz Christian.

 

Influenza A virus is an important human pathogen causing significant morbidity and mortality every year and threatening the human population with epidemics and pandemics. Therefore, it is important to understand the biology of this virus to develop strategies to control its pathogenicity. Here, we demonstrate that influenza A virus inhibits macroautophagy, a cellular process known to be manipulated by diverse pathogens. Influenza A virus infection causes accumulation of autophagosomes by blocking their fusion with lysosomes, and one viral protein, matrix protein 2, is necessary and sufficient for this inhibition of autophagosome degradation. Macroautophagy inhibition by matrix protein 2 compromises survival of influenza virus-infected cells but does not influence viral replication. We propose that influenza A virus, which also encodes proapoptotic proteins, is able to determine the death of its host cell by inducing apoptosis and also by blocking macroautophagy.

Receptor tyrosine kinase signaling: a view from quantitative proteomics.

Dengjel Joern, Kratchmarova Irina, Blagoev Blagoy.

 

Growth factor receptor signaling via receptor tyrosine kinases (RTKs) is one of the basic cellular communication principals found in all metazoans. Extracellular signals are transferred via membrane spanning receptors into the cytoplasm, reversible tyrosine phosphorylation being the hallmark of all RTKs. In recent years proteomic approaches have yielded detailed descriptions of cellular signaling events. Quantitative proteomics is able to characterize the exact position and strength of post-translational modifications (PTMs) providing essential information for understanding the molecular basis of signal transduction. Numerous new post-translational modification sites have been identified by quantitative mass spectrometry-based proteomics. In addition, plentiful new players in signal transduction have been identified underlining the complexity and the modular architecture of most signaling networks. In this review, we outline the principles of signal transduction via RTKs and highlight some of the new insights obtained from proteomic approaches such as protein microarrays and quantitative mass spectrometry.

FACT facilitates chromatin transcription by RNA polymerases I and III.

Birch Joanna L, Tan Bertrand C-M, Panov Kostya I, Panova Tatiana B, Andersen Jens S, Owen-Hughes Tom A, Russell Jackie, Lee Sheng-Chung, Zomerdijk Joost C B M.

 

Efficient transcription elongation from a chromatin template requires RNA polymerases (Pols) to negotiate nucleosomes. Our biochemical analyses demonstrate that RNA Pol I can transcribe through nucleosome templates and that this requires structural rearrangement of the nucleosomal core particle. The subunits of the histone chaperone FACT (facilitates chromatin transcription), SSRP1 and Spt16, co-purify and co-immunoprecipitate with mammalian Pol I complexes. In cells, SSRP1 is detectable at the rRNA gene repeats. Crucially, siRNA-mediated repression of FACT subunit expression in cells results in a significant reduction in 47S pre-rRNA levels, whereas synthesis of the first 40 nt of the rRNA is not affected, implying that FACT is important for Pol I transcription elongation through chromatin. FACT also associates with RNA Pol III complexes, is present at the chromatin of genes transcribed by Pol III and facilitates their transcription in cells. Our findings indicate that, beyond the established role in Pol II transcription, FACT has physiological functions in chromatin transcription by all three nuclear RNA Pols. Our data also imply that local chromatin dynamics influence transcription of the active rRNA genes by Pol I and of Pol III-transcribed genes.

Identification of 8-methyladenosine as the modification catalyzed by the radical SAM methyltransferase Cfr that confers antibiotic resistance in bacteria.

Giessing Anders, Jensen Søren Skov, Rasmussen Anette, Hansen Lykke Haastrup, Gondela Andrzej, Long Katherine, Vester Birte, Kirpekar Finn.

 

The Cfr methyltransferase confers combined resistance to five different classes of antibiotics that bind to the peptidyl transferase center of bacterial ribosomes. The Cfr-mediated modification has previously been shown to occur on nucleotide A2503 of 23S rRNA and has a mass corresponding to an additional methyl group, but its specific identity and position remained to be elucidated. A novel tandem mass spectrometry approach has been developed to further characterize the Cfr-catalyzed modification. Comparison of nucleoside fragmentation patterns of A2503 from Escherichia coli cfr+ and cfr- strains with those of a chemically synthesized nucleoside standard shows that Cfr catalyzes formation of 8-methyladenosine. In addition, analysis of RNA derived from E. coli strains lacking the m(2)A2503 methyltransferase reveals that Cfr also has the ability to catalyze methylation at position 2 to form 2,8-dimethyladenosine. The mutation of single conserved cysteine residues in the radical SAM motif CxxxCxxC of Cfr abolishes its activity, lending support to the notion that the Cfr modification reaction occurs via a radical-based mechanism. Antibiotic susceptibility data confirm that the antibiotic resistance conferred by Cfr is provided by methylation at the 8 position and is independent of methylation at the 2 position of A2503. This investigation is, to our knowledge, the first instance where the 8-methyladenosine modification has been described in natural RNA molecules.

Depletion of kinesin 5B affects lysosomal distribution and stability and induces peri-nuclear accumulation of autophagosomes in cancer cells.

Cardoso Carla M P, Groth-Pedersen Line, Høyer-Hansen Maria, Kirkegaard Thomas, Corcelle Elizabeth, Andersen Jens S, Jäättelä Marja, Nylandsted Jesper.

 

Background. Enhanced lysosomal trafficking is associated with metastatic cancer. In an attempt to discover cancer relevant lysosomal motor proteins, we compared the lysosomal proteomes from parental MCF-7 breast cancer cells with those from highly invasive MCF-7 cells that express an active form of the ErbB2 (ΔN-ErbB2). Methodology/Principal Findings. Mass spectrometry analysis identified kinesin heavy chain protein KIF5B as the only microtubule motor associated with the lysosomes in MCF-7 cells, and ectopic ΔN-ErbB2 enhanced its lysosomal association. KIF5B associated with lysosomes also in HeLa cervix carcinoma cells as analyzed by subcellular fractionation. The depletion of KIF5B triggered peripheral aggregations of lysosomes followed by lysosomal destabilization, and cell death in HeLa cells. Lysosomal exocytosis in response to plasma membrane damage as well as fluid phase endocytosis functioned, however, normally in these cells. Both HeLa and MCF-7 cells appeared to express similar levels of the KIF5B isoform but the death phenotype was weaker in KIF5B-depleted MCF-7 cells. Surprisingly, KIF5B depletion inhibited the rapamycin-induced accumulation of autophagosomes in MCF-7 cells. In KIF5B-depleted cells the autophagosomes formed and accumulated in the close proximity to the Golgi apparatus, whereas in the control cells they appeared uniformly distributed in the cytoplasm. Conclusions/Significance. Our data identify KIF5B as a cancer relevant lysosomal motor protein with additional functions in autophagosome formation.

Stable isotope labeling by amino acids in cell culture (SILAC) and quantitative comparison of the membrane proteomes of self-renewing and differentiating human embryonic stem cells.

Prokhorova Tatyana A, Rigbolt Kristoffer T G, Johansen Pia T, Henningsen Jeanette, Kratchmarova Irina, Kassem Moustapha, Blagoev Blagoy.

 

Stable isotope labeling by amino acids in cell culture (SILAC) is a powerful quantitative proteomics platform for comprehensive characterization of complex biological systems. However, the potential of SILAC-based approaches has not been fully utilized in human embryonic stem cell (hESC) research mainly because of the complex nature of hESC culture conditions. Here we describe complete SILAC labeling of hESCs with fully preserved pluripotency, self-renewal capabilities, and overall proteome status that was quantitatively analyzed to a depth of 1556 proteins and 527 phosphorylation events. SILAC-labeled hESCs appear to be perfectly suitable for functional studies, and we exploited a SILAC-based proteomics strategy for discovery of hESC-specific surface markers. We determined and quantitatively compared the membrane proteomes of the self-renewing versus differentiating cells of two distinct human embryonic stem cell lines. Of the 811 identified membrane proteins, six displayed significantly higher expression levels in the undifferentiated state compared with differentiating cells. This group includes the established marker CD133/Prominin-1 as well as novel candidates for hESC surface markers: Glypican-4, Neuroligin-4, ErbB2, receptor-type tyrosine-protein phosphatase zeta (PTPRZ), and Glycoprotein M6B. Our study also revealed 17 potential markers of hESC differentiation as their corresponding protein expression levels displayed a dramatic increase in differentiated embryonic stem cell populations.

 

 

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