1,721,078 research outputs found
Mass spectrometric analysis of rat hemoglobin by FAB-overlapping. Primary structure of the alpha-major and of four beta constitutive chains
No full textMass spectrometric analysis of rat hemoglobin by FAB-overlapping. Primary structure of the α-major and four β-constitutive chains.
No full textInsights into the structural properties of D-serine dehydratase from Saccharomyces cerevisiae: an FT-IR spectroscopic and in silico approach.
No full textD-serine dehydratase (Dsd) from baker's yeast is a recently discovered enzyme catalyzing the oxidation of D-serine to pyruvate and ammonia. The reaction depends on the cofactors pyridoxal-5'-phosphate (PLP) and Zn(2+), featuring a very high selectivity towards the D-enantiomer of the amino acid serine. In humans, altered levels of D-serine in the cerebrospinal fluid (CSF) and blood correlate with the onset and evolution of a number of neurodegenerative diseases. Up to date very little is known on the structure of Dsd. Hence, we have investigated the structure of this enzyme by means of Fourier Transform infrared (FT-IR) spectroscopy and used the structural data derived thereof to validate a homology model of Dsd. In this model, Dsd adopts a fold that is characteristic of type III pyridoxal-dependent enzymes. This consists of an α/β (TIM) barrel and a β-sandwich domain at the N- and C-termini, respectively. Analysis of the Amide I and Amide III infrared bands revealed that the amounts of α (24%), β (29%) and unordered structures (47%) correlate well with those derived from the model (25%, 29% and 46% respectively), suggesting reliability of the latter. In addition, the model of Dsd was further refined by recreating the PLP- and zinc-restored active site based on a PLP- and zinc-dependent bacterial amino acid racemase recently crystallized, allowing us to identify the potential cofactor and metal binding residues of Dsd
“Procedura di isolamento e di purificazione degli esosomi urinari per la ricerca di biomarcatori proteici”
No full textA multiplex quantitative proteomics strategy for protein biomarker studies in urinary exosomes
No full textUrinary exosomes have received considerable attention as a potential biomarker source for the diagnosis of renal diseases. Notwithstanding, their use in protein biomarker research is hampered by the lack of efficient methods for vesicle isolation, lysis, and protein quantification. Here we report an improved ultracentrifugation-based method that facilitates the solubilization and removal of major impurities associated with urinary exosomes. A double-cushion sucrose/D2O centrifugation step was used after a two-step differential centrifugation to separate exosomes from the heavier vesicles. After the removal of uromodulin, 378 and 79 unique proteins were identified, respectively, in low- and high-density fractions. Comparison of our data with two previously published data sets helped to define proteins commonly found in urinary exosomes. Lysis, protein extraction, and in-solution digestion of exosomes were then optimized for MudPIT application. More than a hundred exosomal proteins were quantified by four-plex iTRAQ analysis of single and pooled samples from two different age groups. For healthy men, six proteins (TSN1, PODXL, IDHC, PPAP, ACBP, and ANXA5) showed significant expression differences between exosome pools of those aged 25-50 and 50-70 years old. Thus, exosomes isolated by our method provide the basis for the development of robust quantitative methods for protein biomarker research
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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