Hippophae rhamnoides L., which belongs to the Elaegnaceae family, is one of the medically and environmentally valuable berry crops with its high nutritious and bioactive compounds. Despite its high demand in the food, medicinal and agricultural industries, this species has been less studied molecularly. In view of this, an effort has been made in the present study to characterize 24 accessions of H. rhamnoides collected from different geographical regions of Mongoliaa through random amplified polymorphic DNA (RAPD) markers. A total of 10 RAPD primers were used in the present study for their ability to produce clear, scorable amplicons. The RAPD analysis totally generated 87 bands, of which 84 (96.34%) were polymorphic, pointing to a high degree of genetic variation. The similarity coefficient ranged from 0.4-1 with the mean of 0.78. The UPGMA dendrogram was generated using these data grouped accessions into two main clusters. Cluster analysis reflected a relatively close relationship between accessions grown at the same or neighbouring areas. Thus, our data could be informative for further selection and management of germplasm collections and crossing strategies for sea buckthorn.

The expression of p53 and beta-catenin proteins in hepatocellular carcinoma (HCC) samples with mutations in the tumor suppressor TP53 gene, which has a high frequency of mutations in liver cancer, and the CTNNB1 gene, which plays an important role in the Wnt signaling pathway, were identified. As a result, the beta-catenin protein was increased in 83.33% of liver tumor samples with CTNNB1 gene mutation, and p53 protein expression was increased in 50% of samples with TP53 gene mutation. According to this, it may be that liver tumors were caused by changes in p53 and beta-catenin protein expression. Элэгний хорт хавдрын эсийн p53, бета-катенин уургийн экспресс Элэгний хорт хавдрын мутацийн өндөр давтамжтай тохиолддог хавдар дарангуйлагч ТР53 ген болон Wnt дохиоллын замд чухал үүрэгтэй оролцдог CTNNB1 генийн мутаци илэрсэн элэгний хавдрын дээжүүдэд уургийн (p53, бета катенин) нийлэгжлийг вестерн блотын аргаар судлав. Судалгааны дүнд CTNNB1 генийн мутацитай элэгний хавдрын дээжүүдийн 83.33%-д бета-катенин уураг, ТР53 генийн мутацитай дээжүүдийн 50%-д р53 уургийн нийлэгжил тус тус нэмэгдсэн байв. Үүнээс үзэхэд p53 болон бета-катенин уургийн нийлэгжлийн өөрчлөлтөөр элэгний хавдар үүссэн байх магадлалтай. Түлхүүр үгс: мутаци, хавдар, вестерн блот

The capability to detect Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and identify immune responses among the population is crucial for managing the outbreak of the COVID-19 pandemic. Although PCR-based nucleic acid detection techniques are utilized to detect viral infection in people, alternative tests capable of distinguishing between exposure and infection are urgently needed beyond this restricted window of detectable viral replication. Antibodies are produced in human sera within a few days after viral infection, providing longer period for performing tests to acquire reliable database. Herewith, we provide the results of our in-house developed ELISA (Enzyme-Linked Immunosorbent Assay) that displays all of the properties necessary for high-throughput of human sera sample analysis. This test does not involve the handling of live viruses, although it detects a variety of antibody types in serum and plasma of human after exposure to the virus. For in-house development of the kit, the nucleocapsid (N) gene of SARS-CoV-2 virus was cloned in the prokaryotic expression vector pGEX-6P-1, and purified N protein was used to detect IgG antibodies in human sera samples. In total 76 human serum samples that were collected before novel coronavirus registry in Mongolia in March 2020, as well as 200 serum samples from patients who had been infected by SARS-CoV-2 virus, were used. Among 200 serum samples, 188 were positive and 12 were false negative, while in non-infected cases 69 were negative and 7 were false positive, suggesting 94 per cent sensitivity and 90.7 per cent specificity of the kit, with p-values of 0.02.