69 research outputs found
Eraser Rhinolith: A case report
Nasal foreign bodies are usually received in otolaryngology practice. Although more frequently seen in pediatric patients, also they can affect adults, specifically those with mental retardation or any psychiatric problems. We presented an unusual case of the nasal foreign body, an eraser rhinolith in a 17-year-old boy with mild mental retardation presented with long-lasting nasal obstruction but no chronic infection or epistaxis. Computed tomography revealed a peripherally calcified sub-mucosal round mass in the left nasal cavity. After surgery, a round shape foreign body that looked like an eraser piece was removed from the nasal cavity. Rhinolith can present just with nasal obstruction. With properly diagnosed and appropriate surgery, all rhinoliths can be removed and complication of extraction can be minimized. © 2019, Medical Sciences University of Teheran. All rights reserved
Prediction of Bitumen Molecular Weight Distribution Using Rheological Property
Abstract: There are some problems to find heavy hydrocarbon characteristic such as lake of method or techniques and the special hydrocarbon property. Therefore, it is important to obtain the relation to find heavy hydrocarbon characteristic analytically or by experiment. These relations help us to predict special property in different range or area. In this study tried to predict the bitumen's molecular weight distribution by using its rheological property. This function obtained from the definition of complex modulus and phase angle for polymeric mixtures and investigated by zero relaxation time as rheological property. The result indicate that molecular weight distribution is sharp in low zero relaxation time and it's so wide in high zero relaxation time and this means that the molecular weight of bitumen's mixture increase by increasing the zero relaxation time and the distribution of molecular weight be wider
Lipoma of the nasal septum: A case report
Even routine diagnoses, such as septal deviation, which most people do not think need imaging, require careful examination because rare diagnoses such as lipoma may occur in the nose. Careful examination and imaging lead to the best treatment. © 2020 The Authors. Clinical Case Reports published by John Wiley & Sons Lt
Numerous proteins with unique characteristics are degraded by the 26S proteasome following monoubiquitination
The "canonical" proteasomal degradation signal is a substrate-anchored polyubiquitin chain. However, a handful of proteins were shown to be targeted following monoubiquitination. In this study, we established-in both human and yeast cells-a systematic approach for the identification of monoubiquitination-dependent proteasomal substrates. The cellular wild-type polymerizable ubiquitin was replaced with ubiquitin that cannot form chains. Using proteomic analysis, we screened for substrates that are nevertheless degraded under these conditions compared with those that are stabilized, and therefore require polyubiquitination for their degradation. For randomly sampled representative substrates, we confirmed that their cellular stability is in agreement with our screening prediction. Importantly, the two groups display unique features: monoubiquitinated substrates are smaller than the polyubiquitinated ones, are enriched in specific pathways, and, in humans, are structurally less disordered. We suggest that monoubiquitination-dependent degradation is more widespread than assumed previously, and plays key roles in various cellular processes
Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences
<p>Abstract</p> <p>Background</p> <p>Knowledge of structural class is used by numerous methods for identification of structural/functional characteristics of proteins and could be used for the detection of remote homologues, particularly for chains that share twilight-zone similarity. In contrast to existing sequence-based structural class predictors, which target four major classes and which are designed for high identity sequences, we predict seven classes from sequences that share twilight-zone identity with the training sequences.</p> <p>Results</p> <p>The proposed MODular Approach to Structural class prediction (MODAS) method is unique as it allows for selection of any subset of the classes. MODAS is also the first to utilize a novel, custom-built feature-based sequence representation that combines evolutionary profiles and predicted secondary structure. The features quantify information relevant to the definition of the classes including conservation of residues and arrangement and number of helix/strand segments. Our comprehensive design considers 8 feature selection methods and 4 classifiers to develop Support Vector Machine-based classifiers that are tailored for each of the seven classes. Tests on 5 twilight-zone and 1 high-similarity benchmark datasets and comparison with over two dozens of modern competing predictors show that MODAS provides the best overall accuracy that ranges between 80% and 96.7% (83.5% for the twilight-zone datasets), depending on the dataset. This translates into 19% and 8% error rate reduction when compared against the best performing competing method on two largest datasets. The proposed predictor provides accurate predictions at 58% accuracy for membrane proteins class, which is not considered by majority of existing methods, in spite that this class accounts for only 2% of the data. Our predictive model is analyzed to demonstrate how and why the input features are associated with the corresponding classes.</p> <p>Conclusions</p> <p>The improved predictions stem from the novel features that express collocation of the secondary structure segments in the protein sequence and that combine evolutionary and secondary structure information. Our work demonstrates that conservation and arrangement of the secondary structure segments predicted along the protein chain can successfully predict structural classes which are defined based on the spatial arrangement of the secondary structures. A web server is available at <url>http://biomine.ece.ualberta.ca/MODAS/</url>.</p
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca’s large drug combination dataset, consisting of 11,576 experiments from 910 combinations across 85 molecularly characterized cancer cell lines, and results of a DREAM Challenge to evaluate computational strategies for predicting synergistic drug pairs and biomarkers. 160 teams participated to provide a comprehensive methodological development and benchmarking. Winning methods incorporate prior knowledge of drug-target interactions. Synergy is predicted with an accuracy matching biological replicates for >60% of combinations. However, 20% of drug combinations are poorly predicted by all methods. Genomic rationale for synergy predictions are identified, including ADAM17 inhibitor antagonism when combined with PIK3CB/D inhibition contrasting to synergy when combined with other PI3K-pathway inhibitors in PIK3CA mutant cells.Peer reviewe
Totally endoscopic stapes surgery without packing: novel technique bringing most comfort to the patients
Many difficulties might be encountered during conventional stapes surgery. However, the good exposure provided by the endoscope can facilitate this procedure. The present study addresses the effectiveness of endoscopic stapes surgery with regard to the operation time and patients� convenience and satisfaction. 19 patients underwent endoscopic stapes surgery without packing. 15 patients who experienced the microscopic stapes surgery served as the comparison group. Audiometric results and the patients� satisfaction as measured by visual analog scale in both group were compared. Audiometric results were similar in both groups. Nevertheless, the endoscopic method was accompanied by shorter operation time and more comfort for the patients. Totally endoscopic stapes surgery can be done in much shorter time without major difficulties and without need to pack ear canal after surgery. Far less dissection and incision as well as patients' more satisfaction make this technique as a good alternative to the microscopic approach to stapes surgery. © 2015, Springer-Verlag Berlin Heidelberg
Sphenoid sinus mucocele as a cause of isolated pupil-sparing oculomotor nerve palsy mimicking diabetic
A 37-year-old woman presented with isolated right-sided oculomotor nerve palsy. Neurologic examination revealed no other disorder. Computed tomography of the paranasal sinuses demonstrated complete opacification of the sphenoid sinus. Dense mucoid fluid was drained from the sphenoid sinus via an endoscopic transseptal sphenoidotomy. A biopsy confirmed the diagnosis of sphenoid sinus mucocele. At follow-up 4 weeks postoperatively, the patient's ocular symptoms were markedly alleviated. Considering rare causes of isolated oculomotor nerve palsy, such as sphenoid sinus mucocele, is important in the differential diagnosis, even in patients with well-known risk factors such as diabetes mellitus
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