540 Chemie und zugeordnete Wissenschaften
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Chemistry and time
(2015)
[Nachruf] Franz Josef Comes
(2015)
The title compound, C21H26Cl2N2O2, was prepared in a solvent-free microwave-assisted synthesis, and crystallizes in the orthorhombic space group Pna21. The imidazolidine ring adopts an envelope conformation and its mean plane is almost perpendicular to the two pendant aromatic rings [dihedral angles = 84.61 (9) and 86.54 (9)°]. The molecular structure shows the presence of two intramolecular O—H⋯N hydrogen bonds between the phenolic hydroxy groups and imidazolidine N atoms. The two 3-chloro-6-hydroxy-2,4-dimethylbenzyl groups are located in a cis orientation with respect to the imidazolidine fragment. As a result, the lone pairs of electrons on the N atoms are presumed to be disposed in a syn conformation. This is therefore the first example of an exception to the `rabbit-ears' effect in such 2,2′-[imidazolidine-1,3-diylbis(methylene)]diphenol derivatives.
As a surrogate of live cells, proteo-lipobeads are presented, encapsulating functional membrane proteins in a strict orientation into a lipid bilayer. Assays can be performed just as on live cells, for example using fluorescence measurements. As a proof of concept, we have demonstrated proton transport through cytochrome c oxidase.
CD44v6, a member of the CD44 family of transmembrane glycoproteins is a co-receptor for two receptor tyrosine kinases (RTKs), Met and VEGFR-2 (vascular endothelial growth factor receptor 2). CD44v6 is not only required for the activation of these RTKs but also for signalling. In order to understand the role of CD44v6 in Met and VEGFR-2 activation and signalling we tested whether CD44v6 binds to their ligands, HGF (hepatocyte growth factor) and VEGF (vascular endothelial growth factor), respectively. FACS analysis and cellular ELISA showed binding of HGF and VEGF only to cells expressing CD44v6. Direct binding of CD44v6 to HGF and VEGF was demonstrated in pull-down assays and the binding affinities were determined using MicroScale Thermophoresis, fluorescence correlation spectroscopy and fluorescence anisotropy. The binding affinity of CD44v6 to HGF is in the micromolar range in contrast with the high-affinity binding measured in the case of VEGF and CD44v6, which is in the nanomolar range. These data reveal a heparan sulfate-independent direct binding of CD44v6 to the ligands of Met and VEGFR-2 and suggest different roles of CD44v6 for these RTKs.
Membrane proteins are biological macromolecules that are located in a cell’s membrane and are responsible for essential functions within an organism, which makes them to prominent drug targets. The extraction of membrane proteins from the hydrophobic membrane bilayer to determine high-resolution crystal structures is a difficult task and only 2% of all solved proteins structures are membrane proteins. Computational methods may help to gain deeper insights into membrane protein structures and their functions. This study will give an overview of such computational methods on a representative set of membrane proteins and will provide ideas for future computational and experimental research on membrane proteins.
In a first step (chapter 2), I updated an earlier, manually-curated data set of homologous membrane proteins (HOMEP) to more recent versions in 2010 (HOMEP2) and 2013 (HOMEP3) using an automated clustering approach. High-resolution structures of membrane proteins listed in the PDB_TM database were structurally aligned and subsequently clustered using structural similarity scores. Both data sets were used as a standard gold reference set for subsequent work.
Subsequently, I have updated and applied the sequence alignment program AlignMe to determine protein descriptors that are suitable for detecting evolutionary relationship between homologous a-helical membrane proteins. Single input descriptors were tested alone and in combination with each other in different modes of AlignMe by optimizing gap penalties on the HOMEP2 data set. Most accurate alignments and homology models on the HOMEP2 data set were observed when using position-specific substitution information (P), secondary structure propensities (S) and transmembrane propensities (T) in the AlignMe PST mode. An evaluation on an independent reference set of membrane protein sequence alignments from the BAliBASE collection showed that different modes of AlignMe are suitable for different sequence similarity levels. The AlignMe PST mode improved the alignment accuracy significantly for distantly related proteins, whereas for closely-related proteins from the BAliBASE set the AlignMe PS mode was more suitable. This work was published in March 2013 in PLOS ONE. In order to allow also an easier usage of the AlignMe program, I have implemented a web server of AlignMe (chapter 4) that provides the optimized settings and gap penalties for the AlignMe P, PS and PST modes. A comparison to other recent alignment web server shows that the alignments of AlignMe are similar or even more accurate than those of other methods, especially for very distantly related proteins for which the inclusion of membrane protein information has been shown to be suitable. This work was published in the NAR web server issue in July 2014.
Although membrane-specific information has been shown to be suitable for aligning distantly related membrane proteins on a sequence level, such information was not incorporated into structural alignment programs making it unclear which method is the most suitable for aligning membrane proteins. Thus, I compared 13 widely-used pairwise structural alignment methods on an updated reference set of homologous membrane protein structures (HOMEP3) and evaluated their accuracy by building models based on the underlying sequence alignments and used scoring functions (e.g., AL4 or CAD-score) to rate the model accuracy (chapter 5). The analysis showed that fragment-based approaches such as FR-TM-align are the most useful for aligning structures of membrane proteins that have undergone large conformational changes whereas rigid approaches were more suitable for proteins that were solved in the same or a similar state. However, no method showed a significant higher accuracy than any other. Additionally, all methods lack a measure to rate the reliability of the accuracy for a specific position within a structure alignment. In order to solve these problems, I propose a consensus-type approach that combines alignments from four different methods, namely FR-TM-align, DaliLite, MATT and FATCAT and assigns a confidence value to each position of the alignment that describes the agreement between the methods. This work has been published 2015 in the journal “PROTEINS: structure, function and bioinformatics”.
Consensus alignments were then generated for each pair of proteins of the HOMEP3 data set and subsequently analyzed for single evolutionary events within membrane spanning segments and for irregular structures (e.g., 310- and p-helices) (chapter 6). Interestingly, single insertions and deletions could be observed with the help of consensus alignments in the conserved membrane-spanning segments of membrane proteins in four protein families. The detection of such single InDels might help to identify crucial residues for a proteins function.
Ribosomes are the central cellular assembly lines for protein synthesis. To cope with the translational needs, a proliferating mammalian cell can produce up to 7500-ribosomes per minute. However, under growth limiting conditions, such as nutrient depletion, ribosome synthesis is rapidly shut down exemplifying the importance of a tight coordination between ribosome supply and cellular energy status. In addition to the quantitative regulation, a strict quality control of ribosome synthesis is equally important, because alterations in the composition or function of ribosomes can lead to a variety of pathologies. To cope with these challenges a highly regulated, multi-step pathway of ribosome biogenesis has evolved. In mammals this pathway generates the mature 80S ribosomes that comprise the large 60S and the small 40S subunits. Together they contain around 80 ribosomal proteins and the 28S, 18S, 5.8S and 5S rRNAs. The 28S, 5.8S and 5S rRNAs are assembled into the large subunit, while the 18S rRNA is part of the small subunit. The pathway of ribosome biogenesis is a multi-step cellular process, where specific stages occur in distinct subcellular compartments. Transcription of the 47S rRNA, which is the precursor for the 28S, 18S and 5.8S species, occurs in the nucleolus. Modification of distinct bases and early processing of this precursor also take place in the nucleolus. Subsequently, the 40S and 60S pre-ribosomes take separate maturation routes through the nucleoplasm before their export and final assembly in the cytoplasm. The various stages of preribosomal maturation require the constant and sequential action of a large number of non-ribosomal proteins, known as trans-acting factors. These factors coordinate the delicate remodeling of the pre-ribosomal intermediates and thereby ensure proper progression of the maturation process. The remodeling events largely depend on the dynamics of post-translational modifications, such as phosphorylation or SUMOylation. This requires that the enzymes controlling these modifications are properly targeted to their sites of activity as they fulfill their functions within specific compartments. Here we studied the regulatory principles that govern the subcellular partitioning of the SUMO-specific isopeptidase SENP3 and its associated factor PELP1. Previous work from our laboratory has delineated the importance of the SUMO system for proper ribosome biogenesis in mammalian cells. In particular, we have shown that SENP3 is critically involved in 28S rRNA formation, which is a key step for pre-60S subunit maturation. A critical involvement of SENP3 at this stage of the maturation process is in agreement with the observed enrichment of SENP3 in the nucleolus, since 28S rRNA processing is considered to occur in the nucleolus. Our subsequent work identified the nucleolar scaffold protein NPM1 and the ribosomal trans-acting factor PELP1 as bona fide substrates of SENP3. For both proteins we could demonstrate modification by SUMO2/3 and define SENP3 as the demodifying enzyme. Depletion of SENP3 enhanced the conjugation of SUMO to both proteins and concomitantly reduced conversion of the 32S pre-rRNA to the mature 28S rRNA. PELP1 is part of a larger protein complex consisting of the core components PELP1, TEX10 and WDR18. We could show that the balanced SUMOylation/deSUMOylation of PELP1 controls the nucleolar/nucleoplasmic distribution of this complex. Enhanced SUMOylation, which is observed in the absence of SENP3, triggers the nucleolar release of the complex suggesting that SENP3-mediated deSUMOylation controls the dynamics of nucleolar trans-acting factors. Based on these findings we first wanted to understand, in which cellular compartment(s) SENP3 exerts its function on 28S maturation. Next, we wanted to tackle the question how the subcellular distribution of SENP3 is controlled. Finally
we addressed the question how the SUMOylation of PELP1 determines the subnuclear distribution of the PELP1 complex. This work initially revealed that the nucleolar localization of SENP3 is crucial for proper 28S rRNA formation and 60S ribosome maturation. Importantly, we could demonstrate that the nucleolar compartmentalization of SENP3 depends on its direct physical interaction with NPM1. Further, we could show that the amino-terminal region of SENP3 is necessary for its binding to NPM1 and nucleolar recruitment. Strikingly, this interaction requires the phosphorylation of SENP3, which is brought about by the mTOR kinase. By in-vitro kinase assays and mass-spectrometric approaches we identified five serine/threonine residues within the amino-terminal region of SENP3 that are targeted by mTOR (S/T 25, 26, 141, 142, 143). We could further demonstrate by mutagenesis that these sites in SENP3 are in fact critical for the phospho-dependent binding of SENP3 to NPM1 and its nucleolar recruitment.
Consistent with these data, we found that chemical inhibitors of the mTOR kinase trigger the nucleolar release of SENP3 and impair its interaction with NPM1. Strikingly, this goes along with severe 28S rRNA maturation defects demonstrating the physiological importance of mTOR signaling in the regulation SENP3 function and rRNA processing. By specifically depleting components of the either mTORC1 or mTORC2, we could attribute the observed effects to signaling by mTORC1 rather than mTORC2. In an attempt to find the negative regulators of SENP3 phosphorylation, we identified PP1-γ as the candidate phosphatase in this pathway. We found a strong physical interaction of SENP3 with PP1-γ and observed a loss of SENP3 nucleolar localization upon ectopic expression of PP1-γ. Thus we could define mTOR/PP1-γ mediated phosphorylation/dephosphorylation of SENP3 as an important
mechanism in the control of ribosome maturation. Given that mTOR activity is controlled by nutrient availability, SENP3 functions as a sensor that couples ribosome synthesis with nutrient availability. The second part of this work delineated the role of SUMOylated PELP1 in nucleoplasmic partitioning of the SENP3-PELP1 complex. It was revealed that the AAA-ATPase MDN1 binds preferentially to SUMO modified PELP1 and likely segregates SUMOylated PELP1 from nucleolar pre-60S particles. We initially found that the PELP1 complex associates with MDN1, a factor known to be involved in the 28S rRNA maturation. Notably, depletion of MDN1 led to an enhanced accumulation of the PELP1 complex in the nucleolus and a strong association of PELP1 with pre-60S particles, suggesting that MDN1 is required for the release of this complex from the pre-ribosomes. Intriguingly, the interaction of PELP1 with MDN1 requires SUMO2/3 and SUMOylated PELP1 shows enhanced binding to MDN1 when compared to unmodified PELP1. Taken together this work provides new insights in the control of the SENP3-PELP1 complex dynamics. We could define several layers for the coordinated spatial regulation of SENP3 and the PELP1 complex. This work therefore underscores the crucial importance of dynamic post-translational modifications for the control of ribosome maturation.
Crystallization and X-ray diffraction studies of a complete bacterial fatty-acid synthase type I
(2015)
While a deep understanding of the fungal and mammalian multi-enzyme type I fatty-acid synthases (FAS I) has been achieved in recent years, the bacterial FAS I family, which is narrowly distributed within the Actinomycetales genera Mycobacterium, Corynebacterium and Nocardia, is still poorly understood. This is of particular relevance for two reasons: (i) although homologous to fungal FAS I, cryo-electron microscopic studies have shown that bacterial FAS I has unique structural and functional properties, and (ii) M. tuberculosis FAS I is a drug target for the therapeutic treatment of tuberculosis (TB) and therefore is of extraordinary importance as a drug target. Crystals of FAS I from C. efficiens, a homologue of M. tuberculosis FAS I, were produced and diffracted X-rays to about 4.5 Å resolution.