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July 13, 2026
Biologists Discover Unique Properties of MiR-93-5p MicroRNA in Prostate Cancer
Researchers at the International Laboratory of Microphysiological Systems of the HSE Faculty of Biology and Biotechnology investigated how different isoforms of the same microRNA influence gene function in prostate adenocarcinoma. The study found that in some cases, microRNAs can reinforce each other’s effects by targeting and suppressing the same genes. This finding offers a fresh perspective on the molecular mechanisms underlying tumour development and on the search for disease biomarkers. The results have been published in PeerJ.
July 13, 2026
'My Goal Is to Become a Tenured Professor'
Mikhail Samatov focuses on the theoretical study of perovskite solar cells. In this interview for the HSE Young Scientists project, he talks about working on HSE University’s supercomputer, collaborating with Peking University, and making furniture.
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.

 

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Геометрический подход к филогеографическому анализу молекулярных последовательностей: главные компоненты и дендрограммы

Молекулярная биология. 2023. Т. 57. № 2. С. 178–184.
Ефимов В. М., Efimov K., Ковалева В. Ю.

Currently, the search for manifestations of selection under the influence of the environment in molecular sequences is usually carried out within closely related species or at the intraspecific level. It is believed that at high taxonomic levels this is unpromising due to phylogenetic relationship. Cytochrome b amino acid sequences of 67 rodent and lagomorph species with known geographic coordinates were digitized using the AAindex database. Based on more than 200 thousand characters, the principal components were obtained. A well-known statistical method, which has not been previously used for such problems, was used, which makes it possible to orthogonally decompose multidimensional variability into intra- and intertaxon variability and analyze them separately. The subfamily level was selected. For the second principal component (17.05% of intertaxon variability), a correlation with latitude was found (r = 0.561; n = 67; p < E-5). The clear division into two groups, revealed by the first principal component (39.48% of intertaxon variability), which does not coincide with the taxonomic one, indicates a possible physicochemical underlying cause for the differences between them. This requires further research.

Research target: Biology Mathematics
Language: Russian
DOI
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Keywords: кластерный анализевклидовы расстоянияортогональное разложениегеографические координаты
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