11 resultados para Low-abundance Proteins
em Aston University Research Archive
Resumo:
Proteome analysis by conventional approaches is biased against hydrophobic membrane proteins, many of which are also of low abundance. We have isolated plasma membrane sheets from bloodstream forms of Trypanosoma brucei by subcellular fractionation, and then applied a battery of complementary protein separation and identification techniques to identify a large number of proteins in this fraction. The results of these analyses have been combined to generate a subproteome for the pellicular plasma membrane of bloodstream forms of T. brucei as well as a separate subproteome for the pellicular cytoskeleton. In parallel, we have used in silico approaches to predict the relative abundance of proteins potentially expressed by bloodstream form trypanosomes, and to identify likely polytopic membrane proteins, providing quality control for the experimentally defined plasma membrane subproteome. We show that the application of multiple high-resolution proteomic techniques to an enriched organelle fraction is a valuable approach for the characterisation of relatively intractable membrane proteomes. We present here the most complete analysis of a protozoan plasma membrane proteome to date and show the presence of a large number of integral membrane proteins, including 11 nucleoside/nucleobase transporters, 15 ion pumps and channels and a large number of adenylate cyclases hitherto listed as putative proteins.
Resumo:
Phosphoinositides are signalling lipids that are crucial for major signalling events as well as established regulators of membrane trafficking. Control of endosomal sorting and endosomal homeostasis requires phosphatidylinositol-3-phosphate (PI(3)P) and phosphatidylinositol-3,5-bisphosphate (PI(3,5)P2), the latter a lipid of low abundance but significant physiological relevance. PI(3,5)P2 is formed by phosphorylation of PI(3)P by the PIKfyve complex which is crucial for maintaining endosomal homeostasis. Interestingly, loss of PIKfyve function results in dramatic neurodegeneration. Despite the significance of PIKfyve, its regulation is still poorly understood. Here we show that the Amyloid Precursor Protein (APP), a central molecule in Alzheimer’s disease, associates with the PIKfyve complex (consisting of Vac14, PIKfyve and Fig4) and that the APP intracellular domain directly binds purified Vac14. We also show that the closely related APP paralogues, APLP1 and 2 associate with the PIKfyve complex. Whether APP family proteins can additionally form direct protein–protein interaction with PIKfyve or Fig4 remains to be explored. We show that APP binding to the PIKfyve complex drives formation of PI(3,5)P2 positive vesicles and that APP gene family members are required for supporting PIKfyve function. Interestingly, the PIKfyve complex is required for APP trafficking, suggesting a feedback loop in which APP, by binding to and stimulating PI(3,5)P2 vesicle formation may control its own trafficking. These data suggest that altered APP processing, as observed in Alzheimer’s disease, may disrupt PI(3,5)P2 metabolism, endosomal sorting and homeostasis with important implications for our understanding of the mechanism of neurodegeneration in Alzheimer’s disease.
Resumo:
Cachexia is a wasting phenomenon that often accompanies malignant disease. Its manifestation is associated with shortened survival and reduced responsiveness to anti-tumour therapy and as yet there is no established, effective amelioratory treatment. The MAC 16 model of cancer cachexia has been shown by many studies to closely mirror the human condition. Thus, cachexia is mediated by the presence of a small, slow-growing solid tumour that is mainly resistant to chemotherapy. In addition, the condition is largely attributable to aberrations in metabolic processes, while weight loss due to anorexia is negligible. Cachexia induced by the MAC 16 tumour, has been shown to be mediated by the production of tumour-derived circulatory catabolic factors, and the further elucidation of the structure of these molecules contributes towards the main content of this report. Thus, a factor with in vitro lipid-mobilising activity has been purified from the MAC 16 tumour, and has been found to have similarities to tumour-derived lipolytic factors published to date. Further work demonstrated that this factor was also purifiable from the urine of a patient with pancreatic cancer, and that it was capable of inducing weight loss in non tumour-bearing mice. Sequence analysis of the homogeneous material revealed an identity to Zn-α-2-glycoprotein, the significance of which is discussed. An additional factor, first detected as a result of its specific reactivity with a monoclonal antibody produced by fusion of splenocytes from MAC 16 tumour-bearing mice with mouse BALB/c myeloma cells, was identified as a co-purificant during studies to isolate the lipolytic factor. Subsequent purification of this material to homogeneity resulted in the determination of 18 of the N-terminal amino acids and revealed the highly glycosylated nature of its structure. Thus, this material (P24) was found to have an apparent molecular mass of 24kD of which 2kD was due to protein, while the remainder (92%) was due to the presence of carbohydrate groups. Sequence analysis of the protein core of P24 revealed an identity with Streptococcal pre-absorbing antigen (PA-Ag) in 11 of the amino acids, and the significance of this is discussed. P24 was shown to induce muscle protein breakdown in vitro and to induce cachexia in vivo, as measured by the depletion of fat (29%) and muscle (14%) tissue in the absence of a reduction of food and water intake. Further studies revealed that the same material was purifiable from the urine of patients with pancreatic cancer and was found to be detectable in the urine of cancer patients with weight loss greater than l.Skg/month. Thus, cachexia induced by the MAC 16 tumour in mice and by malignant disease in humans may be induced by similar mediators. Attempts to isolate the gene for P24 using information provided by the N-terminal protein sequence were unsuccessful. This was probably due to the low abundance o[ the material, as determined by protein purification studies; and the nature of the amino acids of the N-terminal sequence, which conferred a high degree o[ degeneracy to the oligonucleotides designed for the polymerase chain reaction.
Resumo:
Phosphoinositides are important components of eukaryotic membranes that are required for multiple forms of membrane dynamics. Phosphoinositides are involved in defining membrane identity, mediate cell signalling and control membrane trafficking events. Due to their pivotal role in membrane dynamics, phosphoinositide de-regulation contributes to various human diseases. In this review, we will focus on the newly emerging regulation of the PIKfyve complex, a phosphoinositide kinase that converts the endosomal phosphatidylinositol-3-phosphate [PI(3)P] to phosphatidylinositol-3,5-bisphosphate [PI(3,5)P2)], a low abundance phosphoinositide of outstanding importance for neuronal integrity and function. Loss of PIKfyve function is well known to result in neurodegeneration in both mousemodels and human patients. Our recent work has surprisingly identified the amyloid precursor protein (APP), the central molecule in Alzheimer s disease aetiology, as a novel interaction partner of a subunit of the PIKfyve complex, Vac14. Furthermore, it has been shown that APP modulates PIKfyve function and PI(3,5)P2 dynamics, suggesting that the APP gene family functions as regulator of PI(3,5)P2 metabolism. The recent advances discussed in this review suggest a novel, unexpected, â-amyloid-independent mechanism for neurodegeneration in Alzheimer s disease.
Resumo:
The performances of five different ESI sources coupled to a polystyrene-divinylbenzene monolithic column were compared in a series of LC-ESI-MS/MS analyses of Escherichia coli outer membrane proteins. The sources selected for comparison included two different modifications of the standard electrospray source, a commercial low-flow sprayer, a stainless steel nanospray needle and a coated glass Picotip. Respective performances were judged on sensitivity and the number and reproducibility of significant protein identifications obtained through the analysis of multiple identical samples. Data quality varied between that of a ground silica capillary, with 160 total protein identifications, the lowest number of high quality peptide hits obtained (3012), and generally peaks of lower intensity; and a stainless steel nanospray needle, which resulted in increased precursor ion abundance, the highest-quality peptide fragmentation spectra (5414) and greatest number of total protein identifications (259) exhibiting the highest MASCOT scores (average increase in score of 27.5% per identified protein). The data presented show that, despite increased variability in comparative ion intensity, the stainless steel nanospray needle provides the highest overall sensitivity. However, the resulting data were less reproducible in terms of proteins identified in complex mixtures -- arguably due to an increased number of high intensity precursor ion candidates.
Resumo:
We have successfully linked protein library screening directly with the identification of active proteins, without the need for individual purification, display technologies or physical linkage between the protein and its encoding sequence. By using 'MAX' randomization we have rapidly constructed 60 overlapping gene libraries that encode zinc finger proteins, randomized variously at the three principal DNA-contacting residues. Expression and screening of the libraries against five possible target DNA sequences generated data points covering a potential 40,000 individual interactions. Comparative analysis of the resulting data enabled direct identification of active proteins. Accuracy of this library analysis methodology was confirmed by both in vitro and in vivo analyses of identified proteins to yield novel zinc finger proteins that bind to their target sequences with high affinity, as indicated by low nanomolar apparent dissociation constants.
Resumo:
Initial work focused on the preparation, optimisation and characterisation of poly (D,L-lactide) (PLA) microspheres with the aim of optimising their formulation based on minimizing the particle size into the range suitable for pulmonary delivery to alveoli. In order to produce dry powders and to enhance their long-term physico-chemical stability, microspheres were prepared as a dry powder via freeze-drying. Optimisation studies showed that using appropriate concentrations of polymer 3% (w/v) in organic phase and emulsifier 10% (w/v) in external aqueous phase, the double solvent evaporation method produced high protein loading microspheres (72 ± 0.5%) with an appropriate particle size for pulmonary drug delivery. Combined use of trehalose and leucine as cyroprotectants (6% and 1% respectively, w/v) produced freeze-dried powders with the best aerosolisation profile among those tested. Although the freeze-dried PLA microsphere powders were not particularly respirable in dry powder inhalation, nebulisation of the rehydrated powders using an ultrasonic nebuliser resulted in improved aerosilisation performance compared to the air-jet nebuliser. When tested in vitro using a macrophage cell line, the PLA microspheres system exhibited a low cytotoxicity and the microspheres induced phagocytic activity in macrophages. However, interestingly, the addition of an immunomodulator to the microsphere formulations (4%, w/w of polymer) reduced this phagocytic activity and macrophage activation compared to microspheres formulated using PLA alone. This suggested that the addition of trehalose dibehenate may not enhance the ability of these microspheres to be used as vaccine delivery systems.
Resumo:
Protein-DNA interactions are an essential feature in the genetic activities of life, and the ability to predict and manipulate such interactions has applications in a wide range of fields. This Thesis presents the methods of modelling the properties of protein-DNA interactions. In particular, it investigates the methods of visualising and predicting the specificity of DNA-binding Cys2His2 zinc finger interaction. The Cys2His2 zinc finger proteins interact via their individual fingers to base pair subsites on the target DNA. Four key residue positions on the a- helix of the zinc fingers make non-covalent interactions with the DNA with sequence specificity. Mutating these key residues generates combinatorial possibilities that could potentially bind to any DNA segment of interest. Many attempts have been made to predict the binding interaction using structural and chemical information, but with only limited success. The most important contribution of the thesis is that the developed model allows for the binding properties of a given protein-DNA binding to be visualised in relation to other protein-DNA combinations without having to explicitly physically model the specific protein molecule and specific DNA sequence. To prove this, various databases were generated, including a synthetic database which includes all possible combinations of the DNA-binding Cys2His2 zinc finger interactions. NeuroScale, a topographic visualisation technique, is exploited to represent the geometric structures of the protein-DNA interactions by measuring dissimilarity between the data points. In order to verify the effect of visualisation on understanding the binding properties of the DNA-binding Cys2His2 zinc finger interaction, various prediction models are constructed by using both the high dimensional original data and the represented data in low dimensional feature space. Finally, novel data sets are studied through the selected visualisation models based on the experimental DNA-zinc finger protein database. The result of the NeuroScale projection shows that different dissimilarity representations give distinctive structural groupings, but clustering in biologically-interesting ways. This method can be used to forecast the physiochemical properties of the novel proteins which may be beneficial for therapeutic purposes involving genome targeting in general.
Resumo:
Two algorithms, based onBayesian Networks (BNs), for bacterial subcellular location prediction, are explored in this paper: one predicts all locations for Gram+ bacteria and the other all locations for Gram- bacteria. Methods were evaluated using different numbers of residues (from the N-terminal 10 residues to the whole sequence) and residue representation (amino acid-composition, percentage amino acid-composition or normalised amino acid-composition). The accuracy of the best resulting BN was compared to PSORTB. The accuracy of this multi-location BN was roughly comparable to PSORTB; the difference in predictions is low, often less than 2%. The BN method thus represents both an important new avenue of methodological development for subcellular location prediction and a potentially value new tool of true utilitarian value for candidate subunit vaccine selection.
Resumo:
Historically, recombinant membrane protein production has been a major challenge meaning that many fewer membrane protein structures have been published than those of soluble proteins. However, there has been a recent, almost exponential increase in the number of membrane protein structures being deposited in the Protein Data Bank. This suggests that empirical methods are now available that can ensure the required protein supply for these difficult targets. This review focuses on methods that are available for protein production in yeast, which is an important source of recombinant eukaryotic membrane proteins. We provide an overview of approaches to optimize the expression plasmid, host cell and culture conditions, as well as the extraction and purification of functional protein for crystallization trials in preparation for structural studies.
Resumo:
Phosphatase and tensin homolog (PTEN) is involved in a number of different cellular processes including metabolism, apoptosis, cell proliferation and survival. It is a redox-sensitive dual-specificity protein phosphatase that acts as a tumor suppressor by negatively regulating the PI3K/Akt pathway. While direct evidence of redox regulation of PTEN downstream signaling has been reported, the effect of PTEN redox status on its protein-protein interactions is poorly understood. PTEN-GST in its reduced and a DTT-reversible H2O2-oxidized form was immobilized on a glutathione-sepharose support and incubated with cell lysate to capture interacting proteins. Captured proteins were analyzed by LC-MSMS and comparatively quantified using label-free methods. 97 Potential protein interactors were identified, including a significant number that are novel. The abundance of fourteen interactors was found to vary significantly with the redox status of PTEN. Altered binding to PTEN was confirmed by affinity pull-down and Western blotting for Prdx1, Trx, and Anxa2, while DDB1 was validated as a novel interactor with unaltered binding. These results suggest that the redox status of PTEN causes a functional variation in the PTEN interactome. The resin capture method developed had distinct advantages in that the redox status of PTEN could be directly controlled and measured.