Band 14, Heft 1

Despite enormous progress in molecular analysis of cancer cell genomes, the mechanism of tumorigenesis remains unclear. The information present in the genome is not limited to the DNA sequence itself. Indeed, a significant portion of this information is concealed in the spatial structure of chromatin. Ongoing scientific studies that focus on the three-dimensional structure of chromatin raise hopes of arriving at a general explanation of the cancer transformation phenomenon.

Neuraminidase (NA) is an important protein for the replication cycle of influenza A viruses. NA is an enzyme that cleaves the sialic acid receptors; this process plays a significant role in viral life cycle. Blocking NA with a specific inhibitor is an effective way to treat the flu. However, some strains show resistance to current drugs. Therefore, NA is the focus for the intense research for new antiviral drugs and also for the explanation of the functions of new mutations. This research focuses on determining the profile of variability and phylogenetic analysis and finding the correlated mutations within a set of 149 sequences of NA belonging to various strains of influenza A virus. In this study, we have used the original programs (Corm, Consensus Constructor, and SSSSg) and also other bioinformatics software. NA proteins are characterized by various levels of variability in different regions, which was presented in detail with the aid of ConSurf. The use of four independent methods to create the phylogenetic trees gave some new data on the evolutionary relationship within the NA family proteins. The search for correlated mutations shows several potentially important correlated positions that were not reported previously to be significant. The use of such an approach can be potentially important and gives new information regarding NA proteins of influenza A virus.

Objective This study aimed at creating electronic cases (e-cases) and analyzing their validity as a diagnostic assessment tool within the context of continuing medical education (CME) to measure general practitioners’ (GPs) knowledge of common infectious disease. Methods We designed assessment e-cases in an electronic CME platform. The e-cases were designed to measure GPs’ knowledge about diagnosis and treatment of common infectious disease in outpatient settings. The data collected were analyzed for five forms of evidence: content, response process, internal structure, relations with other variables and consequences. Results A total of 46 GPs participated in the study. Among them, 87% perceived the e-cases as resembling the patients whom they visit in their everyday practice. Although attendance in this activity made 85% of the participants more cautious about prescription of antibiotics, we could not detect any statistically significant association between the assessment scores and the physicians’ previous antibiotic prescription. The diagnostic assessment with e-cases was supported by most of the elements of validity evidence, including content, response process, internal structure and consequences. Conclusions Overall, evidence suggests that using e-cases might be a valid diagnostic assessment CME activity to measure GPs’ knowledge of common infectious disease, but more research is necessary.

Simulators designed to simulate real organs or activities can be valuable tools in the process of medical training. The main purpose of screen-based computer simulators is to train and assess knowledge and decision-making in medical practice. The presented application is in the form of an educational game, which is a subcategory of serious games. The game is supposed to help learn the anatomy of a normal and a pathological human eye. It is dedicated mainly to high school students in biology classes and medical professionals. The interaction mode is a single player. Users have three main ways of learning the eye anatomy: the Anatomical Model, the Quiz, and the Disorder Catalogue. The Anatomical Model presents the elements of the normal anatomy of the visual system as well as its detailed description. In the “Quiz” mode, users can check their own knowledge of the eye anatomy in the question and answer mode. The “Disorder Catalogue” contains a description of the selected eye defects and models displaying vision before and after correction.

The goal of the research described in the article was to develop the device for the automatic scarification of acorns and computer vision-based assessment of their viability. The color image of the intersection of the tissue of cotyledons was selected as a key feature for separating healthy seeds from the spoiled ones. Because the device is being designed for the diagnosis of high volume of seeds aiming at producing high-quality seedlings, several assessment criteria of the overall design of the automaton are being assessed. The basic one is the overall accuracy of viability recognition. The other refers to particular functions implemented in the model of the device being described.

Thalamotomy is a neurosurgical procedure used in the treatment of advanced Parkinson’s disease (PD). The aim of our research is to evaluate the early impact of a lesion in the ventrointermedial nucleus (VIM) of the thalamus on cognitive and motor function in people with PD. Sixty patients who qualified for right- or left-sided VIM thalamotomy were involved in the study. The cognitive and motor functions of each patient were assessed both prior to and following the surgical procedure. Twenty-nine PD patients without ablative treatment were qualified for the comparison group, and 57 neurologically healthy individuals were assigned to the control group. The following tests were carried out: Mini Mental State Examination, Benton Visual Retention Test, Stroop Color and Word Test, Trail Making Test A&B, and Rey Auditory Verbal Learning Test. Statistically significant differences were found in reaction time, visual-spatial working memory, auditory-verbal memory, and overall level of cognitive function when comparing the results of tests carried out before and after thalamotomy and when comparing patients who had undergone surgery with untreated or healthy individuals. In patients with right-sided and left-sided thalamotomy differences were also found in the mean number of perseverative errors and recalled words.

The exploration of complex interactions in biological systems is one of the main aims in nature science nowadays. Progress in this area is possible because of high-throughput omics technologies and the computational surge. The development of analytical methods “is trying to keep pace” with the development of molecular biology methods that provide increasingly large amounts of data – omics data. Specialized databases consist of ever-larger collections of experiments that are usually conducted by one next-generation sequencing technique (e.g. RNA-seq). Other databases integrate data by defining qualitative relationships between individual objects in the form of ontologies, interactions, and pathways (e.g. GO, KEGG, and String). However, there are no open-source complementary quantitative data sets for the biological processes studied, including information from many levels of the organism organization, which would allow the development of multidimensional data analysis methods (multiscale and insightful overviews of biological processes). In the paper, the lack of omics complementary quantitative data set, which would help integrate the defined qualitative biological relationships of individual biomolecules with statistical, computational methods, is discussed.