SELDI-TOF mass spectrometry of High-Density Lipoprotein

<p>Abstract</p> <p>Background</p> <p>High-Density Lipoprotein (HDL), one of the main plasma lipoproteins, serves as a docking station for proteins involved in inflammation, coagulation, and lipid metabolism.</p> <p>Methods</p> <p>To elucidate the protein composition of HDL, we employed SELDI-TOF mass spectrometry as a potential high-throughput proteomic candidate for protein profiling of HDL. HDL derived from normolipemic individuals was captured on PS20 protein-chips using covalently bound antibodies against apo A-I or A-II.</p> <p>Results</p> <p>After optimisation, on-chip capture of HDL particles directly from plasma or from pre-purified HDL resulted in comparable fingerprints confirming specific capture of HDL. Depending on the capture antibody some differences in the fingerprint were observed. The most detailed fingerprint was observed up to 50 kDa; approximately 95 peaks were detected in the 3–50 kDa molecular mass range. Between 50 and 160 kDa, 27 more peaks were detected.</p> <p>Conclusion</p> <p>Based on these results, SELDI-TOF MS may be a suitable high-throughput candidate for HDL protein profiling and marker search. This approach may be used to <it>i) </it>investigate the underlying mechanisms that lead to increased atherothrombotic risk and <it>ii) </it>to investigate the atherothrombotic state of an individual.</p

1001 Ways to run AutoDock Vina for virtual screening

Large-scale computing technologies have enabled high-throughput virtual screening involving thousands to millions of drug candidates. It is not trivial, however, for biochemical scientists to evaluate the technical alternatives and their implications for running such large experiments. Besides experience with the molecular docking tool itself, the scientist needs to learn how to run it on high-performance computing (HPC) infrastructures, and understand the impact of the choices made. Here, we review such considerations for a specific tool, AutoDock Vina, and use experimental data to illustrate the following points: (1) an additional level of parallelization increases virtual screening throughput on a multi-core machine; (2) capturing of the random seed is not enough (though necessary) for reproducibility on heterogeneous distributed computing systems; (3) the overall time spent on the screening of a ligand library can be improved by analysis of factors affecting execution time per ligand, including number of active torsions, heavy atoms and exhaustiveness. We also illustrate differences among four common HPC infrastructures: grid, Hadoop, small cluster and multi-core (virtual machine on the cloud). Our analysis shows that these platforms are suitable for screening experiments of different sizes. These considerations can guide scientists when choosing the best computing platform and set-up for their future large virtual screening experiment

Distinct functional domains contribute to degradation of the low density lipoprotein receptor (LDLR) by the E3 ubiquitin ligase inducible Degrader of the LDLR (IDOL)

We recently identified the liver X receptor-regulated E3 ubiquitin ligase inducible degrader of the LDL receptor (IDOL) as a modulator of lipoprotein metabolism. Acting as an E3 ubiquitin ligase, IDOL triggers ubiquitination and subsequent degradation of the low density lipoprotein receptor (LDLR). We demonstrate here that this outcome requires the conserved FERM and RING domains present in IDOL. The RING domain promotes ubiquitination in vitro and Lys-63-specific ubiquitination of the LDLR in vivo in response to IDOL or liver X receptor activation. We further identify RING residues that differentially influence ubiquitination of the LDLR or stability of IDOL. The FERM domain interacts with the LDLR and in living cells co-localizes with the receptor at the plasma membrane. Homology modeling revealed a phosphotyrosine-binding element embedded in the FERM domain. Mutating residues within this region or residues in the LDLR preceding the NPVY endocytosis motif abrogate LDLR degradation by IDOL. Collectively, our results indicate that both the FERM and RING domains are required for promoting lysosomal degradation of the LDLR by IDOL. Our findings may facilitate development of structure-based IDOL inhibitors aimed at increasing LDLR abundance in therapeutic strategies to treat cardiovascular diseas

Distinct functional domains contribute to degradation of the low density lipoprotein receptor (LDLR) by the E3 ubiquitin ligase inducible Degrader of the LDLR (IDOL)

We recently identified the liver X receptor-regulated E3 ubiquitin ligase inducible degrader of the LDL receptor (IDOL) as a modulator of lipoprotein metabolism. Acting as an E3 ubiquitin ligase, IDOL triggers ubiquitination and subsequent degradation of the low density lipoprotein receptor (LDLR). We demonstrate here that this outcome requires the conserved FERM and RING domains present in IDOL. The RING domain promotes ubiquitination in vitro and Lys-63-specific ubiquitination of the LDLR in vivo in response to IDOL or liver X receptor activation. We further identify RING residues that differentially influence ubiquitination of the LDLR or stability of IDOL. The FERM domain interacts with the LDLR and in living cells co-localizes with the receptor at the plasma membrane. Homology modeling revealed a phosphotyrosine-binding element embedded in the FERM domain. Mutating residues within this region or residues in the LDLR preceding the NPVY endocytosis motif abrogate LDLR degradation by IDOL. Collectively, our results indicate that both the FERM and RING domains are required for promoting lysosomal degradation of the LDLR by IDOL. Our findings may facilitate development of structure-based IDOL inhibitors aimed at increasing LDLR abundance in therapeutic strategies to treat cardiovascular diseas

Replacement of non-heme Fe(II) with Cu(II) in the alpha-ketoglutarate dependent DNA repair enzyme AlkB: spectroscopic characterization of the active site

The bacterial DNA repair enzyme AlkB is an alpha-ketoglutarate (alphaKG) dependent non-heme Fe(II) containing dioxygenase. Here we describe, for the first time, the preparation of a Cu(II)-reconstituted form of AlkB in various complexes. Spectroscopic characterization showed correct AlkB folding upon incorporation of Cu(II) in the active site. The Cu site was classified as a type 2 site by EPR spectroscopy. The accessibility of the active site metal was studied using imidazole as a probe. Although addition of imidazole did not change the EPR spectrum of the AlkB-Cu-alphaKG complex, the spectrum of the AlkB-Cu-succinate complex clearly changed, indicating binding of imidazole at the Cu site. Binding of substrate (methylated DNA) to the AlkB-Cu-alphaKG complex did not induce changes in the EPR spectrum, demonstrating that the substrate does not bind in the immediate vicinity of the metal centre. This work provides a basis for advanced EPR approaches aimed at studying the interactions and dynamics of AlkB complexes in solutio

Influence des propriétésdu graphite sur le premier cycle d'intercalation du lithium

Les batteries à ions lithium alimentent la plupart des petits appareils électriques, portables. Elles font usage du graphite comme électrode négative. Pour optimiser celle-ci, il faut réduire la perte spécifique de charge du premier cycle d intercalation du lithium. Cette perte est principalement due à la formation d une couche passive par décomposition de l électrolyte. Les propriétés du graphite qui l influencent sont partiellement connues. En particulier, une meilleure compréhension de l exfoliation du graphite, responsable d une grande perte spécifique de charge, est souhaitée. Ce phénomène est provoqué par la co-intercalation de solvant à travers les plans de bord des particules. Des paramètres comme la cristallinité, la chimie de surface et la réactivité du graphite semblent jouer un rôle. Une étude systématique a été entreprise afin de déterminer leur influence sur le premier cycle dans un électrolyte standard à base de carbonate d éthylène et de diméthyle. Il apparaît que les complexes de surface oxygénés ne jouent pas de rôle particulier tandis que les complexes hydrogénés favorisent la co-intercalation de solvant. De plus, les graphites ayant une faible teneur en sites actifs constituant l Active Surface Area (ASA), mesurée par chimisorption d oxygène, sont plus enclins à exfolier. Comme les atomes de bord à deux voisins sont les plus réactifs en raison de la présence d un électron célibataire, la plus grande sensibilité à la co-intercalation de solvant des graphites de faible ASA peut s expliquer par la formation d une couche passive inappropriée sur des plans de bord peu réactifs laissant passer le solvant.In the field of small portable electrical devices, lithium-ion batteries are common. Graphite is used as the negative electrode. To improve its electrochemical performances, the first cycle specific charge loss must be decreased. It is predominantly attributed to the electrolyte reduction into a passivation layer. The graphite properties which influence this charge loss are not clearly identified. In particular, the graphite exfoliation which is responsible for a huge specific charge loss must be better understood. This dramatic phenomenon is due to solvent co-intercalation through the particle edge planes. Many graphite parameters such as crystallinity, surface chemistry and reactivity are thought to play a role. A systematic study was carried out in which the influence of each parameter on the first cycle was assessed in a standard ethylene and dimethyl carbonate based electrolyte. It appears that the presence of oxygen surface complexes does not have any influence whereas C6H bonds cause slight exfoliation. In addition, graphite samples containing low amount of active sites : the so-called Active Surface Area (ASA), quantified by oxygen chemisorption, are more likely to exfoliate. Since graphite active sites are mainly the edge atoms because of unpaired electron presence, low ASA graphite exfoliation can be explained by the formation of inappropriate passivation layer on the edge planes letting solvent molecules co-intercalate.MULHOUSE-SCD Sciences (682242102) / SudocSudocFranceF

Comparative Analysis of Antibodies and Heavily Glycosylated Macromolecular Immune Complexes by Size-Exclusion Chromatography Multi-Angle Light Scattering, Native Charge Detection Mass Spectrometry, and Mass Photometry

Qualitative and quantitative mass analysis of antibodies and related macromolecular immune complexes is a prerequisite for determining their identity, binding partners, stoichiometries, and affinities. A plethora of bioanalytical technologies exist to determine such characteristics, typically based on size, interaction with functionalized surfaces, light scattering, or direct mass measurements. While these methods are highly complementary, they also exhibit unique strengths and weaknesses. Here, we benchmark mass photometry (MP), a recently introduced technology for mass measurement, against native mass spectrometry (MS) and size exclusion chromatography multi-angle light scattering (SEC-MALS). We examine samples of variable complexity, namely, IgG4Δhinge dimerizing half-bodies, IgG-RGY hexamers, heterogeneously glycosylated IgG:sEGFR antibody–antigen complexes, and finally megadalton assemblies involved in complement activation. We thereby assess the ability to determine (1) binding affinities and stoichiometries, (2) accurate masses, for extensively glycosylated species, and (3) assembly pathways of large heterogeneous immune complexes. We find that MP provides a sensitive approach for characterizing antibodies and stable assemblies, with dissociation correction enabling us to expand the measurable affinity range. In terms of mass resolution and accuracy, native MS performs the best but is occasionally hampered by artifacts induced by electrospray ionization, and its resolving power diminishes when analyzing extensively glycosylated proteins. In the latter cases, MP performs well, but single-particle charge detection MS can also be useful in this respect, measuring masses of heterogeneous assemblies even more accurately. Both methods perform well compared to SEC-MALS, still being the most established method in biopharma. Together, our data highlight the complementarity of these approaches, each having its unique strengths and weaknesses

Comparative Analysis of Antibodies and Heavily Glycosylated Macromolecular Immune Complexes by Size-Exclusion Chromatography Multi-Angle Light Scattering, Native Charge Detection Mass Spectrometry, and Mass Photometry

Qualitative and quantitative mass analysis of antibodies and related macromolecular immune complexes is a prerequisite for determining their identity, binding partners, stoichiometries, and affinities. A plethora of bioanalytical technologies exist to determine such characteristics, typically based on size, interaction with functionalized surfaces, light scattering, or direct mass measurements. While these methods are highly complementary, they also exhibit unique strengths and weaknesses. Here, we benchmark mass photometry (MP), a recently introduced technology for mass measurement, against native mass spectrometry (MS) and size exclusion chromatography multi-angle light scattering (SEC-MALS). We examine samples of variable complexity, namely, IgG4Δhinge dimerizing half-bodies, IgG-RGY hexamers, heterogeneously glycosylated IgG:sEGFR antibody–antigen complexes, and finally megadalton assemblies involved in complement activation. We thereby assess the ability to determine (1) binding affinities and stoichiometries, (2) accurate masses, for extensively glycosylated species, and (3) assembly pathways of large heterogeneous immune complexes. We find that MP provides a sensitive approach for characterizing antibodies and stable assemblies, with dissociation correction enabling us to expand the measurable affinity range. In terms of mass resolution and accuracy, native MS performs the best but is occasionally hampered by artifacts induced by electrospray ionization, and its resolving power diminishes when analyzing extensively glycosylated proteins. In the latter cases, MP performs well, but single-particle charge detection MS can also be useful in this respect, measuring masses of heterogeneous assemblies even more accurately. Both methods perform well compared to SEC-MALS, still being the most established method in biopharma. Together, our data highlight the complementarity of these approaches, each having its unique strengths and weaknesses