14 research outputs found
Computer analysis of glioma gene network structure
Computer analysis of disease susceptibility genes using online bioinformatics tools and
open databases allows the identification of potential target genes for therapy. In the
course of this study we reconstructed the gene network for genes associated with glioma.
The relevance of the work is due to the fact that gliomas are the most common primary
brain tumors. Gliomas originate from glial cells that support and protect nerve cells in
the brain and spinal cord. Despite surgical removal, gliomas are still prone to recurrence
because they grow rapidly in the brain, are resistant to chemotherapy, and are very
aggressive (Byun Y.H. et al, 2022).
The task was to collect a list of glioma genes, analyze gene ontologies, reconstruct the
gene network, and analyze the spatial structures of the associated proteins.
The following online bioinformatics tools were used: STRING-DB (https://string-db.org/)
for gene network construction, MalaCards (https://www.malacards.org/), OMIM database
(https://omim.org/). The search was performed using the keyword βgliomaβ. AlphaFold
(https://alphafold.ebi.ac.uk/), PDB (https://www.rcsb.org/) resources were used to model
and visualize 3D protein structures. PANTER (http://www.pantherdb.org/) and DAVID
(https://david.ncifcrf.gov/summary.jsp) resources were used to analyze gene ontologies.
The list of genes for analysis consisted of 176 genes.
The most significant categories for glioma genes according to DAVID are: binding of
identical proteins, negative regulation of biological processes, regulation of programmed
cell death, regulation of cell death, and cell population proliferation.
The gene network was reconstructed using the STRING-DB resource (https://string-db.
org/). MicroRNA genes were not recognized by the program. The graph included 150
genes. The study of the gene network structure showed high connectivity of genes
within certain clusters. The EGFR and TP53 genes, which are known and well-studied
oncogenes, had the greatest number of connections, as well as STAT3, KRAS, PIK3CA,
IDH1, KDR. Construction of the glioma gene network showed that some elements of the
graph are sufficiently linked, while others are only partially linked so that the search for
target proteins for glioma treatment can be facilitated.
Three-dimensional structures of KRAS and PIK3CA proteins were constructed using
AlphaFold software (https://alphafold.ebi.ac.uk/). PAE viewer (http://www.subtiwiki.
uni-goettingen.de/v4/paeViewerDemo) was used to check the validity of the predicted
protein structure. The structure of KRAS protein was found to be similar to that of 7ROV
protein obtained from PDB (https://www.rcsb.org/) and the structure of PIK3CA protein
was found to be similar to that of 4YKN protein.Book of abstract: 4th Belgrade Bioinformatics Conference, June 19-23, 202
HET-CAM test in evaluation of irritating action of adhesives used in shoe making industry.
The global tendency of the contemporary scientific
studies is using alternative biologic models as substitutes of experimental animals. HET-CAM (The Hen's Egg Test on
the Chorioallantoie Membrane Assay) is an alternative to in vivo tests involving experimental animals. This test is actively used in different biomedical studies. The aim of our work was to study the irritating potential of adhesives used in shoe
making industry in experimental setting using the alternative HET-CAM method. Polyurethane, polychloroprene, rubber
and styrene-butadiene adhesives that are widely used in shoe-making industry were studied . HET-CAM test was used for
the evaluation of the irritating action of the aforementioned adhesives. All adhesives were applied directly onto the
chorioallantoic membrane of chick embryos with reactions and changes (hemorrhages, vascular lysis and coagulation)
observed and registered in 30, 120 and 300 seconds after the application of the adhesive. Irritating potential of the
adhesives was evaluated according to a calculated irritating index. The most pronounced signs of irritating action were
caused by polyurethane adhesives, namely hemorrhages and coagulation (30 sec) β two-component adhesive and hemorrhages (30 sec) and coagulation (120-300 sec) β one-component adhesive. Vascular reactions from application of styrene-butadiene adhesives manifested predominantly with lysis and hemorrhages (30 sec), in some samples these reactions
were observed at a later time-point (120-300 sec). Irritating action of rubber adhesives manifested mostly with hemorrhages (30 sec), one observation showed lysis (120 sec). Polychloroprene adhesive caused hemorrhages (30-120 sec)
and also lysis (30 sec) in one of the samples. According to the irritating index, polyurethane (one- and two-component)
and styrene-butadiene adhesives were estimated to be strong irritants, while rubber and polychloroprene ones cause
moderate irritating action. ΠΠΠ’-Π‘ΠΠ test can be used as a component in the evaluation of evidence of irritating action
of shoe adhesives
ΠΠ΅Π΄ΠΈΡΠΈΠ½Π° 5Π: ΠΏΡΠ΅ΡΠΈΠ·ΠΈΠΎΠ½Π½ΡΠΉ ΡΠ°Ρ Π°ΡΠ½ΡΠΉ Π΄ΠΈΠ°Π±Π΅Ρ
Thanks to the approaches of precision medicine, great strides have been made in the diagnosis and treatment of diabetes mellitus, taking into account the individual characteristics of each patient or subgroups for monogenic subtypes of diabetes and newborn diabetes. For monogenic diabetes, molecular genetics can identify discrete etiological subtypes, the manifestation of which has profound implications for treatment, and predict the further development of concomitant clinical signs that allow early prophylaxis or supportive therapy. In contrast, second-type diabetes mellitus has a polygenic nature, which makes it difficult to define discrete clinical subtypes. The implementation of the approaches of precision medicine in the diagnosis and treatment of diabetes mellitus will allow a targeted selection of drug therapy. This review shows the successful use of precision medicine in monogenic diabetes and the possibilities of this approach to solving problems in diabetes of the second type.ΠΠ»Π°Π³ΠΎΠ΄Π°ΡΡ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π°ΠΌ ΠΏΡΠ΅ΡΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ Π΄ΠΎΡΡΠΈΠ³Π½ΡΡΡ Π±ΠΎΠ»ΡΡΠΈΠ΅ ΡΡΠΏΠ΅Ρ
ΠΈ Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ ΠΈ Π»Π΅ΡΠ΅Π½ΠΈΠΈ ΡΠ°Ρ
Π°ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°Π±Π΅ΡΠ° Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΡ
ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° ΠΈΠ»ΠΈ ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏ Π΄Π»Ρ ΠΌΠΎΠ½ΠΎΠ³Π΅Π½Π½ΡΡ
ΠΏΠΎΠ΄ΡΠΈΠΏΠΎΠ² Π΄ΠΈΠ°Π±Π΅ΡΠ°, Π΄ΠΈΠ°Π±Π΅ΡΠ° Π½ΠΎΠ²ΠΎΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ
. ΠΠ»Ρ ΠΌΠΎΠ½ΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ Π΄ΠΈΠ°Π±Π΅ΡΠ° ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½Π°Ρ Π³Π΅Π½Π΅ΡΠΈΠΊΠ° ΠΌΠΎΠΆΠ΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΡΠ΅ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠ΄ΡΠΈΠΏΡ, Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΊΠΎΡΠΎΡΡΡ
ΠΈΠΌΠ΅Π΅Ρ Π³Π»ΡΠ±ΠΎΠΊΠΈΠ΅ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΡ Π΄Π»Ρ Π»Π΅ΡΠ΅Π½ΠΈΡ, ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠΈΡ
ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ², ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡ ΡΠ°Π½Π½ΡΡ ΠΏΡΠΎΡΠΈΠ»Π°ΠΊΡΠΈΠΊΡ ΠΈΠ»ΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΈΠ²Π°ΡΡΡΡ ΡΠ΅ΡΠ°ΠΏΠΈΡ. Π ΠΏΡΠΎΡΠΈΠ²ΠΎΠΏΠΎΠ»ΠΎΠΆΠ½ΠΎΡΡΡ ΡΡΠΎΠΌΡ ΡΠ°Ρ
Π°ΡΠ½ΡΠΉ Π΄ΠΈΠ°Π±Π΅Ρ Π²ΡΠΎΡΠΎΠ³ΠΎ ΡΠΈΠΏΠ° ΠΈΠΌΠ΅Π΅Ρ ΠΏΠΎΠ»ΠΈΠ³Π΅Π½Π½ΡΡ ΠΏΡΠΈΡΠΎΠ΄Ρ, ΡΡΠΎ Π΄Π΅Π»Π°Π΅Ρ Π·Π°ΡΡΡΠ΄Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΌ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΡΡ
ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ΄ΡΠΈΠΏΠΎΠ². Π Π΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΠΏΡΠ΅ΡΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ Π² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ ΠΈ Π»Π΅ΡΠ΅Π½ΠΈΠΈ ΡΠ°Ρ
Π°ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°Π±Π΅ΡΠ° ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡ ΡΠ΅Π»Π΅Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΡΠΉ ΠΏΠΎΠ΄Π±ΠΎΡ Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ. Π Π½Π°ΡΡΠΎΡΡΠ΅ΠΌ ΠΎΠ±Π·ΠΎΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π½Ρ ΡΡΠΏΠ΅ΡΠ½ΠΎΠ΅ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΏΡΠ΅ΡΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ Π² ΠΌΠΎΠ½ΠΎΠ³Π΅Π½Π½ΠΎΠΌ Π΄ΠΈΠ°Π±Π΅ΡΠ΅ ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠΊΠ°Π·Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° ΠΊ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌ ΠΏΡΠΈ ΡΠ°Ρ
Π°ΡΠ½ΠΎΠΌ Π΄ΠΈΠ°Π±Π΅ΡΠ΅ Π²ΡΠΎΡΠΎΠ³ΠΎ ΡΠΈΠΏΠ°