Search results for "sequence"
showing 10 items of 4987 documents
Immunoaffinity purification and characterization of mitochondrial membrane-bound D-3-hydroxybutyrate dehydrogenase from Jaculus orientalis.
2008
Abstract Background The interconversion of two important energy metabolites, 3-hydroxybutyrate and acetoacetate (the major ketone bodies), is catalyzed by D-3-hydroxybutyrate dehydrogenase (BDH1: EC 1.1.1.30), a NAD+-dependent enzyme. The eukaryotic enzyme is bound to the mitochondrial inner membrane and harbors a unique lecithin-dependent activity. Here, we report an advanced purification method of the mammalian BDH applied to the liver enzyme from jerboa (Jaculus orientalis), a hibernating rodent adapted to extreme diet and environmental conditions. Results Purifying BDH from jerboa liver overcomes its low specific activity in mitochondria for further biochemical characterization of the e…
The transcriptome analysis of Strongyloides stercoralis L3i larvae reveals targets for intervention in a neglected disease.
2012
Background: Strongyloidiasis is one of the most neglected diseases distributed worldwide with endemic areas in developed countries, where chronic infections are life threatening. Despite its impact, very little is known about the molecular biology of the parasite involved and its interplay with its hosts. Next generation sequencing technologies now provide unique opportunities to rapidly address these questions. Principal Findings: Here we present the first transcriptome of the third larval stage of S. stercoralis using 454 sequencing coupled with semi-automated bioinformatic analyses. 253,266 raw sequence reads were assembled into 11,250 contiguous sequences, most of which were novel. 8037…
The importance of definitions in the study of polyQ regions: A tale of thresholds, impurities and sequence context
2020
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Individuelt ansvar og sløvhet i profesjonsutøvelse
2012
At profesjonsutøvere er ansvarlige og har ansvar knyttet til arbeidet de utfører, tar vi nærmest for gitt. Mitt sikte med denne artikkelen er å gi et innspill til nærere drøfting av hvordan det profesjonelle ansvaret kan forstås. I nyere profesjonsetiske kodekser knyttes ansvar først og fremst til konsekvenser av handlinger. Det innebærer at den profesjonelles ansvar forutsetter at det kan trekkes en linje fra en handlings konsekvens til den handlende. I komplekse organisasjoner kan imidlertid rekonstruksjon av veien fra konsekvens av handling tilbake til den handlende vise seg vanskelig. Alternativt kan ansvar knyttes til spørsmål om handlingens samsvar med regler og prosedyrer. En slik ti…
COMPARATIVE STUDY OF THE DECISION-MAKING PROCESS IN SMES AND IN LARGE COMPANIES
2012
This article presents the importance of the decisional act in the entrepreneurial process, trying to emphasize its implications in various situations faced by managers and decision factors. Starting with the classic definition of the “decision” concept, this paper extends its meaning by applying it on the economic field and by deepening its meaning in the economic field, shaping the imperative requests a decision has to make. Narrowing the research field to the sphere of small and medium-sized enterprises, the analysis of the decision is made on their level, being built on the antithesis SME- large company. The results of the study consist in the appreciation of the importance the decision …
Optical Methods for River Monitoring: A Simulation-Based Approach to Explore Optimal Experimental Setup for LSPIV
2021
Recent advances in image-based methods for environmental monitoring are opening new frontiers for remote streamflow measurements in natural environments. Such techniques offer numerous advantages compared to traditional approaches. Despite the wide availability of cost-effective devices and software for image processing, these techniques are still rarely systematically implemented in practical applications, probably due to the lack of consistent operational protocols for both phases of images acquisition and processing. In this work, the optimal experimental setup for LSPIV based flow velocity measurements under different conditions is explored using the software PIVlab, investigating perfo…
F-Type Lectins: A highly diversified family of fucose-binding proteins with a unique sequence motif and structural fold, involved in self/non-self-re…
2017
The F-type lectin (FTL) family is one of the most recent to be identified and structurally characterized. Members of the FTL family are characterized by a fucose recognition domain [F-type lectin domain (FTLD)] that displays a novel jellyroll fold (“F-type” fold) and unique carbohydrate- and calcium-binding sequence motifs. This novel lectin family comprises widely distributed proteins exhibiting single, double, or greater multiples of the FTLD, either tandemly arrayed or combined with other structurally and functionally distinct domains, yielding lectin subunits of pleiotropic properties even within a single species. Furthermore, the extraordinary variability of FTL sequences (isoforms) th…
Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs
2019
Abstract The T cell repertoire is composed of T cell receptors (TCR) selected by their cognate MHC-peptides and naive TCR that do not bind known peptides. While the task of distinguishing a peptide-binding TCR from a naive TCR unlikely to bind any peptide can be performed using sequence motifs, distinguishing between TCRs binding different peptides requires more advanced methods. Such a prediction is the key for using TCR repertoires as disease-specific biomarkers. We here used large scale TCR-peptide dictionaries with state-of-the-art natural language processing (NLP) methods to produce ERGO (pEptide tcR matchinG predictiOn), a highly specific classifier to predict which TCR binds to which…
Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space
2019
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical element of successful vaccines and targeted immunotherapies. However, the underlying principles of this "convergence" of adaptive immunity among different individuals remain poorly understood. To quantitatively describe epitope immunogenicity, here we propose a supervised machine learning framework generating probabilistic estimates of immunogenicity, termed "immunogenicity scores," based on the numerical features computed through sequence-based simulation approximating the molecular scanning process of peptides presented onto major histocompatibility complex (MHC) by the human T cell receptor (T…