Importance of phosphatidylethanolamine for association of protein kinase C and other cytoplasmic proteins with membranes.

Biological membranes exhibit an asymmetric distribution of phospholipids. Phosphatidylserine (PS) is an acidic phospholipid that is found almost entirely on the interior of the cell where it is important for interaction with many cellular components. A less well understood phenomenon is the asymmetry of the neutral phospholipids, where phosphatidylcholine (PC) is located primarily on exterior membranes while phosphatidylethanolamine (PE) is located primarily on interior membranes. The effect of these neutral phospholipids on protein-phospholipid associations was examined using four cytoplasmic proteins that bind to membranes in a calcium-dependent manner. With membranes containing PS at a charge density characteristic of cytosolic membranes, protein kinase C and three other proteins with molecular masses of 64, 32, and 22 kDa all showed great selectively for membranes containing PE rather than PC as the neutral phospholipid; the calcium requirements for membrane-protein association of the 64- and 32-kDa proteins were about 10-fold lower with membranes containing PE; binding of the 22-kDa protein to membranes required the presence of PE and could not even be detected with membranes containing PC. Variation of the PS/PE ratio showed that membranes containing about 20% PS/60% PE provided optimum conditions for binding and were as effective as membranes composed of 100% PS. Thus, PE, as a phospholipid matrix, eliminated the need for membranes with high charge density and/or reduced the calcium concentrations needed for protein-membrane association. A surprising result was that PKC and the 64- and 32-kDa proteins were capable of binding to neutral membranes composed entirely of PE/PC or PC only. The different phospholipid headgroups altered only the calcium required for membrane-protein association. For example, calcium concentrations at the midpoint for association of the 64-kDa protein with membranes containing PS, PE/PC, or PC occurred at 6, 100, and 20,000 microM, respectively. Thus, biological probes detected major differences in the surface properties of membranes containing PE versus PC, despite the fact that both of these neutral phospholipids are often thought to provide "inert" matrices for the acidic phospholipids. The selectivity for membranes containing PE could be a general phenomenon that is applicable to many cytoplasmic proteins. The present study suggested that the strategic location of PE on the interior of the membranes may be necessary to allow some membrane-protein associations to occur at physiological levels of calcium and PS.     

Extensive segregation of acidic phospholipids in membranes induced by protein kinase C and related proteins

Protein kinase C and two other proteins with molecular masses of 64 and 32 kDa, purified from bovine brain, constitute a type of protein that binds a large number of calcium ions in a phospholipid-dependent manner. This study suggested that these proteins also induced extensive clustering of acidic phospholipids in the membranes. Clustering of acidic phospholipids was detected by the self-quenching of a fluorescence probe that was attached to acidic phospholipids (phosphatidic acid or phosphatidylglycerol). Addition of these proteins to phospholipid vesicles containing 15% fluorescently labeled phosphatidic acid dispersed in neutral phosphatidylcholine resulted in extensive, rapid, and calcium-dependent quenching of the fluorescence signal. Fluorescence-quenching requirements coincided with protein-membrane binding characteristics. As expected, the addition of these proteins to phospholipid vesicles containing fluorescent phospholipids dispersed with large excess of acidic phospholipids produced only small fluorescence changes. In addition, association of these proteins with vesicles composed of 100% fluorescent phospholipids resulted in no fluorescence quenching. Protein binding to vesicles containing 5-50% fluorescent phospholipid showed different levels of fluorescence quenching that closely resemble the behavior expected for extensive segregation of the acidic phospholipids in the outer layer of the vesicles. Thus, the fluorescence quenching appeared to result from self-quenching of the fluorophores that become clustered upon protein-membrane binding. These results were consistent with protein-membrane binding that was maintained by calcium bridges between the proteins and acidic phospholipids in the membrane. Since each protein bound eight or more calcium ions in the presence of phospholipid, they may each induce clustering of a related number of acidic phospholipids.(ABSTRACT TRUNCATED AT 250 WORDS)     

Proteins that bind calcium in a phospholipid-dependent manner

Three proteins (Mr = 64K, 32K, and 22K) that bind to phospholipids in a calcium-dependent manner were purified from bovine brain. The calcium-binding properties of these proteins were investigated by equilibrium dialysis and by gel filtration chromatography. The 64- and 32-kDa proteins were found to have calcium- and phospholipid-binding properties strikingly similar to those of protein kinase C [Bazzi, M.D., & Nelsestuen, G.L. (1990) Biochemistry 29, 7624]. The free proteins bound limited divalent metal ion even at 200 microM calcium. However, they bound eight to nine calcium ions per protein in the presence of membranes containing acidic phospholipids. The calcium concentrations needed for protein-phospholipid binding were different for these two proteins and were strongly influenced by the phospholipid composition of the vesicles; vesicles of higher phosphatidylserine content required lower concentrations of calcium for protein-membrane association. These properties described a general type of calcium-interacting system where simultaneous interaction of all three components (protein, phospholipids, and calcium) is required. The free proteins may provide only partial coordinate bonds to each calcium ion, but complete calcium-binding sites could be generated at the protein-phospholipid interface. In contrast to the 64- and 32-kDa proteins, the 22-kDa protein bound similar amounts of calcium (two to three ions/protein) in the presence or the absence of phospholipids. The 22-kDa protein had the lowest affinity for phospholipid and the highest affinity for calcium of the three proteins tested. Thus, calcium-dependent phospholipid-binding proteins consist of several types. For example, the 64- and 32-kDa proteins appear to be quite abundant and may even function as a calcium buffer to modulate signaling events.     

Erratum to: Synthesis and Anticancer Activity of Functionalized Thieno[2,3-d]pyrimidine Compounds and Their Triazinyl and Tetrazinyl Derivatives

Russian Journal of Bioorganic Chemistry - erratum     

Recognition of gluconeogenic enzymes; Icl1, Fbp1, and Mdh2 by Gid4 ligase: A molecular docking study

The pro/N‐degron pathway is an evolved protein degradation pathway through the ubiquitin‐proteasome system. It is a vital pathway to attain protein homeostasis inside the liver cells with varying glucose levels. N‐terminal proline exists in more than 300 proteins in Saccharomyces cerevisiae, but only three of them are the gluconeogenic enzymes; isocitrate lyase (Icl1), fructose‐1,6‐bisphosphatase (Fbp1), and malate dehydrogenase (Mdh2). The present in silico study aims to structurally illustrate the binding of Icl1 enzyme to Gid4 ligase concerning its peers; Fbp1 and Mdh2. Based on the molecular docking scores and interactions, one can attribute the binding stability of Gid4 with degrons, to peptides of length six up to eight from the N‐terminal. Moreover, the percent change in the docking score provides a rationale for the unique Gid4‐Icl1^1‐4 interaction. The present study provides insights on the binding attitude of Gid4 ligase to degrons of different lengths, so one will consider in designing peptidomimetics to target Gid4 ligase.     

Proteomic Differences Between Hepatocellular Carcinoma and Nontumorous Liver Tissue Investigated by a Combined Gel-based and Label-free Quantitative Proteomics Study

Proteomics-based clinical studies have been shown to be promising strategies for the discovery of novel biomarkers of a particular disease. Here, we present a study of hepatocellular carcinoma (HCC) that combines complementary two-dimensional difference in gel electrophoresis (2D-DIGE) and liquid chromatography (LC-MS)-based approaches of quantitative proteomics. In our proteomic experiments, we analyzed a set of 14 samples (7 × HCC versus 7 × nontumorous liver tissue) with both techniques. Thereby we identified 573 proteins that were differentially expressed between the experimental groups. Among these, only 51 differentially expressed proteins were identified irrespective of the applied approach. Using Western blotting and immunohistochemical analysis the regulation patterns of six selected proteins from the study overlap (inorganic pyrophosphatase 1 (PPA1), tumor necrosis factor type 1 receptor-associated protein 1 (TRAP1), betaine-homocysteine S-methyltransferase 1 (BHMT)) were successfully verified within the same sample set. In addition, the up-regulations of selected proteins from the complements of both approaches (major vault protein (MVP), gelsolin (GSN), chloride intracellular channel protein 1 (CLIC1)) were also reproducible. Within a second independent verification set (n = 33) the altered protein expression levels of major vault protein and betaine-homocysteine S-methyltransferase were further confirmed by Western blots quantitatively analyzed via densitometry. For the other candidates slight but nonsignificant trends were detectable in this independent cohort. Based on these results we assume that major vault protein and betaine-homocysteine S-methyltransferase have the potential to act as diagnostic HCC biomarker candidates that are worth to be followed in further validation studies.Hepatocellular carcinoma (HCC)¹ currently is the fifth most common malignancy worldwide with an annual incidence up to 500 per 100,000 individuals depending on the geographic region investigated. Whereas 80% of new cases occur in developing countries, the incidence increases in industrialized nations including Western Europe, Japan, and the United States (1). To manage patients with HCC, tumor markers are very important tools for diagnosis, indicators of disease progression, outcome prediction, and evaluation of treatment efficacy. Several tumor markers have been reported for HCC, including α-fetoprotein (AFP) (2), Lens culinaris agglutinin-reactive fraction of AFP (AFP-L3) (3), and des-γ-carboxyl prothrombin (DCP) (4). However, none of these tumor markers show 100% sensitivity or specificity, which calls for new and better biomarkers.To identify novel biomarkers of HCC, many clinical studies using “omics”-based methods have been reported over the past decade (5–6). In particular, the proteomics-based approach has turned out to be a promising one, offering several quantification techniques to reveal differences in protein expression that are caused by a particular disease. In most studies, the well-established 2D-DIGE technique has been applied for protein quantification followed by identification via mass spectrometry (7–15). Even if the quantification is very accurate and sensitive in this gel-based approach, the relatively high amount of protein sample necessary for protein identification is the major disadvantage of this technique. Several mass-spectrometry-based quantitative studies using labeling-techniques like SILAC (stable isotope labeling by amino acids in cell culture) or iTRAQ (isobaric tags for relative and absolute quantification) have also been carried out for biomarker discovery of HCC (16–18). Here, the concomitant protein quantification and identification in a mass spectrometer allows high-throughput analyses. However, such experiments imply additional labeling reactions (in case of iTRAQ) or are limited to tissue culture systems (in case of SILAC). In the latter case, one can overcome the limitation by using the isotope-labeled proteins obtained from tissue culture as an internal standard added to a corresponding tissue sample. This approach is known as CDIT (culture-derived isotope tags) and was applied in a HCC study, very recently (19). Label-free proteomics approaches based on quantification by ion-intensities or spectral counting offer another possibility for biomarker discovery. These approaches are relatively cheap compared with the labeling approaches, because they do not require any labeling reagents and furthermore they allow for high-throughput and sensitive analyses in a mass spectrometer. A quantitative study of HCC using spectral counting has been reported (20), whereas to our knowledge an ion-intensity-based study has not been performed yet. Apart from these quantification strategies, protein alterations in HCC have been studied by MALDI imaging, as well. Here, the authors could show that based on its proteomic signature, hepatocellular carcinoma can be discriminated with high accuracy from liver metastasis samples or other cancer types (21) as well as liver cirrhosis (22). Based on these results, it could be assumed that MALDI imaging might be a promising alternative to standard histological methods in the future.Here, we report a quantitative proteomic study that combines two different techniques, namely the well-established 2D-DIGE approach and a label-free ion-intensity-based quantification via mass spectrometry and liquid chromatography. To our knowledge this is the first time such a combined study was performed with regard to hepatocellular carcinoma. By comparing the results of both studies, we aim to identify high-confident biomarker candidates of HCC, as gel- and LC-MS-based techniques are complementary. To verify the differential protein expressions detected in our proteomic studies we performed additional immunological verifications for selected proteins within two different sample sets (Fig. 1).Open in a separate windowFig. 1.Schematic representation of the applied workflow.     

Reconstructing Coherent Networks from Electroencephalography and Magnetoencephalography with Reduced Contamination from Volume Conduction or Magnetic Field Spread

Volume conduction (VC) and magnetic field spread (MFS) induce spurious correlations between EEG/MEG sensors, such that the estimation of functional networks from scalp recordings is inaccurate. Imaginary coherency [1] reduces VC/MFS artefacts between sensors by assuming that instantaneous interactions are caused predominantly by VC/MFS and do not contribute to the imaginary part of the cross-spectral densities (CSDs). We propose an adaptation of the dynamic imaging of coherent sources (DICS) [2] - a method for reconstructing the CSDs between sources, and subsequently inferring functional connectivity based on coherences between those sources. Firstly, we reformulate the principle of imaginary coherency by performing an eigenvector decomposition of the imaginary part of the CSD to estimate the power that only contributes to the non-zero phase-lagged (NZPL) interactions. Secondly, we construct an NZPL-optimised spatial filter with two a priori assumptions: (1) that only NZPL interactions exist at the source level and (2) the NZPL CSD at the sensor level is a good approximation of the projected source NZPL CSDs. We compare the performance of the NZPL method to the standard method by reconstructing a coherent network from simulated EEG/MEG recordings. We demonstrate that, as long as there are phase differences between the sources, the NZPL method reliably detects the underlying networks from EEG and MEG. We show that the method is also robust to very small phase lags, noise from phase jitter, and is less sensitive to regularisation parameters. The method is applied to a human dataset to infer parts of a coherent network underpinning face recognition.