Hotspot Dotaz Zobrazit nápovědu
HotSpot Wizard is a web server for automatic identification of 'hot spots' for engineering of substrate specificity, activity or enantioselectivity of enzymes and for annotation of protein structures. The web server implements the protein engineering protocol, which targets evolutionarily variable amino acid positions located in the active site or lining the access tunnels. The 'hot spots' for mutagenesis are selected through the integration of structural, functional and evolutionary information obtained from: (i) the databases RCSB PDB, UniProt, PDBSWS, Catalytic Site Atlas and nr NCBI and (ii) the tools CASTp, CAVER, BLAST, CD-HIT, MUSCLE and Rate4Site. The protein structure and e-mail address are the only obligatory inputs for the calculation. In the output, HotSpot Wizard lists annotated residues ordered by estimated mutability. The results of the analysis are mapped on the enzyme structure and visualized in the web browser using Jmol. The HotSpot Wizard server should be useful for protein engineers interested in exploring the structure of their favourite protein and for the design of mutations in site-directed mutagenesis and focused directed evolution experiments. HotSpot Wizard is available at http://loschmidt.chemi.muni.cz/hotspotwizard/.
- MeSH
- beta-laktamasy chemie MeSH
- glykosidhydrolasy chemie MeSH
- hydrolasy triesterů kyseliny fosforečné chemie MeSH
- hydrolasy chemie MeSH
- internet MeSH
- proteinové inženýrství MeSH
- reprodukovatelnost výsledků MeSH
- software MeSH
- uživatelské rozhraní počítače MeSH
- Publikační typ
- práce podpořená grantem MeSH
BACKGROUND: Treating memory and cognitive deficits requires knowledge about anatomical sites and neural activities to be targeted with particular therapies. Emerging technologies for local brain stimulation offer attractive therapeutic options but need to be applied to target specific neural activities, at distinct times, and in specific brain regions that are critical for memory formation. METHODS: The areas that are critical for successful encoding of verbal memory as well as the underlying neural activities were determined directly in the human brain with intracranial electrophysiological recordings in epilepsy patients. We recorded a broad range of spectral activities across the cortex of 135 patients as they memorised word lists for subsequent free recall. FINDINGS: The greatest differences in the spectral power between encoding subsequently recalled and forgotten words were found in low theta frequency (3-5 Hz) activities of the left anterior prefrontal cortex. This subsequent memory effect was proportionally greater in the lower frequency bands and in the more anterior cortical regions. We found the peak of this memory signal in a distinct part of the prefrontal cortex at the junction between the Broca's area and the frontal pole. The memory effect in this confined area was significantly higher (Tukey-Kramer test, p<0.05) than in other anatomically distinct areas. INTERPRETATION: Our results suggest a focal hotspot of human verbal memory encoding located in the higher-order processing region of the prefrontal cortex, which presents a prospective target for modulating cognitive functions in the human patients. The memory effect provides an electrophysiological biomarker of low frequency neural activities, at distinct times of memory encoding, and in one hotspot location in the human brain. FUNDING: Open-access datasets were originally collected as part of a BRAIN Initiative project called Restoring Active Memory (RAM) funded by the Defence Advanced Research Project Agency (DARPA). CT, ML, MTK and this research were supported from the First Team grant of the Foundation for Polish Science co-financed by the European Union under the European Regional Development Fund.
- MeSH
- lidé MeSH
- magnetická rezonanční tomografie MeSH
- mapování mozku MeSH
- mozek fyziologie MeSH
- paměť * fyziologie MeSH
- prefrontální mozková kůra * fyziologie MeSH
- rozpomínání fyziologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- MeSH
- incidence MeSH
- lidé MeSH
- nádory ledvin epidemiologie etiologie MeSH
- nádory tračníku epidemiologie etiologie MeSH
- vystavení vlivu životního prostředí škodlivé účinky MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- zprávy MeSH
- Geografické názvy
- Česká republika MeSH
HotSpot Wizard 2.0 is a web server for automated identification of hot spots and design of smart libraries for engineering proteins' stability, catalytic activity, substrate specificity and enantioselectivity. The server integrates sequence, structural and evolutionary information obtained from 3 databases and 20 computational tools. Users are guided through the processes of selecting hot spots using four different protein engineering strategies and optimizing the resulting library's size by narrowing down a set of substitutions at individual randomized positions. The only required input is a query protein structure. The results of the calculations are mapped onto the protein's structure and visualized with a JSmol applet. HotSpot Wizard lists annotated residues suitable for mutagenesis and can automatically design appropriate codons for each implemented strategy. Overall, HotSpot Wizard provides comprehensive annotations of protein structures and assists protein engineers with the rational design of site-specific mutations and focused libraries. It is freely available at http://loschmidt.chemi.muni.cz/hotspotwizard.
- MeSH
- automatizace MeSH
- biokatalýza MeSH
- databáze proteinů MeSH
- internet * MeSH
- molekulární evoluce MeSH
- molekulární modely MeSH
- mutace * MeSH
- mutageneze cílená metody MeSH
- peptidová knihovna * MeSH
- proteiny chemie genetika MeSH
- software * MeSH
- stabilita proteinů MeSH
- substituce aminokyselin MeSH
- substrátová specifita MeSH
- Publikační typ
- časopisecké články MeSH
Polymorphous low-grade adenocarcinoma (PLGA) is the second most frequent type of malignant tumor of the minor salivary glands. We identified PRKD1 hotspot mutations encoding p.Glu710Asp in 72.9% of PLGAs but not in other salivary gland tumors. Functional studies demonstrated that this kinase-activating alteration likely constitutes a driver of PLGA.
- MeSH
- adenokarcinom genetika patologie MeSH
- buňky NIH 3T3 MeSH
- imunohistochemie MeSH
- imunoprecipitace MeSH
- konfokální mikroskopie MeSH
- lidé MeSH
- missense mutace genetika MeSH
- molekulární modely * MeSH
- molekulární sekvence - údaje MeSH
- mutageneze MeSH
- myši MeSH
- nádory slinných žláz genetika patologie MeSH
- proteinkinasa C chemie genetika MeSH
- sekvence aminokyselin MeSH
- sekvenční analýza DNA MeSH
- sekvenční seřazení MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- myši MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
HotSpot Wizard is a web server used for the automated identification of hotspots in semi-rational protein design to give improved protein stability, catalytic activity, substrate specificity and enantioselectivity. Since there are three orders of magnitude fewer protein structures than sequences in bioinformatic databases, the major limitation to the usability of previous versions was the requirement for the protein structure to be a compulsory input for the calculation. HotSpot Wizard 3.0 now accepts the protein sequence as input data. The protein structure for the query sequence is obtained either from eight repositories of homology models or is modeled using Modeller and I-Tasser. The quality of the models is then evaluated using three quality assessment tools-WHAT_CHECK, PROCHECK and MolProbity. During follow-up analyses, the system automatically warns the users whenever they attempt to redesign poorly predicted parts of their homology models. The second main limitation of HotSpot Wizard's predictions is that it identifies suitable positions for mutagenesis, but does not provide any reliable advice on particular substitutions. A new module for the estimation of thermodynamic stabilities using the Rosetta and FoldX suites has been introduced which prevents destabilizing mutations among pre-selected variants entering experimental testing. HotSpot Wizard is freely available at http://loschmidt.chemi.muni.cz/hotspotwizard.
- MeSH
- databáze proteinů MeSH
- internet * MeSH
- katalytická doména MeSH
- molekulární modely MeSH
- mutace MeSH
- proteiny chemie genetika MeSH
- sekvence aminokyselin MeSH
- sekvenční seřazení MeSH
- software * MeSH
- stabilita proteinů MeSH
- termodynamika MeSH
- výpočetní biologie * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
β-N-Acetylhexosaminidase from Talaromyces flavus (TfHex; EC 3.2.1.52) is an exo-glycosidase with dual activity for cleaving N-acetylglucosamine (GlcNAc) and N-acetylgalactosamine (GalNAc) units from carbohydrates. By targeting a mutation hotspot of the active site residue Glu332, we prepared a library of ten mutant variants with their substrate specificity significantly shifted towards GlcNAcase activity. Suitable mutations were identified by in silico methods. We optimized a microtiter plate screening method in the yeast Pichia pastoris expression system, which is required for the correct folding of tetrameric fungal β-N-acetylhexosaminidases. While the wild-type TfHex is promiscuous with its GalNAcase/GlcNAcase activity ratio of 1.2, the best single mutant variant Glu332His featured an 8-fold increase in selectivity toward GlcNAc compared with the wild-type. Several prepared variants, in particular Glu332Thr TfHex, had significantly stronger transglycosylation capabilities than the wild-type, affording longer chitooligomers - they behaved like transglycosidases. This study demonstrates the potential of mutagenesis to alter the substrate specificity of glycosidases.
Turnover of fungal biomass in forest litter and soil represents an important process in the environment. To date, knowledge of mycelial decomposition has been derived primarily from short-term studies, and the guild of mycelium decomposers has been poorly defined. Here, we followed the fate of the fruiting bodies of an ectomycorrhizal fungus in litter and soil of a temperate forest over 21 wk. The community of associated microbes and enzymatic processes in this specific substrate were described. The decomposition of fungal fruiting bodies exhibited biphasic kinetics. The rapid initial phase, which included the disappearance of DNA, was followed by a slower turnover of the recalcitrant fraction. Compared with the surrounding litter and soil, the mycelium represented a hotspot of activity of several biopolymer-degrading enzymes and high bacterial biomass. Specific communities of bacteria and fungi were associated with decomposing mycelium. These communities differed between the initial and late phases of decomposition. The bacterial community associated with decomposing mycelia typically contained the genera Pedobacter, Pseudomonas, Variovorax, Chitinophaga, Ewingella and Stenotrophomonas, whereas the fungi were mostly nonbasidiomycetous r-strategists of the genera Aspergillus, Penicillium, Mortierella, Cladosporium and several others. Decomposing ectomycorrhizal fungal mycelium exhibits high rates of decomposition and represents a specific habitat supporting a specific microbial community.
The hotspot c.7541_7542delCT NOTCH1 mutation has been proven to have a negative clinical impact in chronic lymphocytic leukemia (CLL). However, an optimal method for its detection has not yet been specified. The aim of our study was to examine the presence of the NOTCH1 mutation in CLL using three commonly used molecular methods. Sanger sequencing, fragment analysis and allele-specific PCR were compared in the detection of the c.7541_7542delCT NOTCH1 mutation in 201 CLL patients. In 7 patients with inconclusive mutational analysis results, the presence of the NOTCH1 mutation was also confirmed using ultra-deep next generation sequencing. The NOTCH1 mutation was detected in 15% (30/201) of examined patients. Only fragment analysis was able to identify all 30 NOTCH1-mutated patients. Sanger sequencing and allele-specific PCR showed a lower detection efficiency, determining 93% (28/30) and 80% (24/30) of the present NOTCH1 mutations, respectively. Considering these three most commonly used methodologies for c.7541_7542delCT NOTCH1 mutation screening in CLL, we defined fragment analysis as the most suitable approach for detecting the hotspot NOTCH1 mutation.
