HSE Biologists Explain Mechanism behind Coronavirus Evolution
A team of researchers, including scientists of the HSE Faculty of Biology and Biotechnology, have analysed the evolutionary path of the coronavirus from the Wuhan variant to Omicron. Their findings indicate that many genomic mutations in SARS-CoV-2 are shaped by processes occurring in the intestines and lungs, where the virus acquires the ability to evade the inhibitory effects of microRNA molecules. The study findings have been published in the Journal of Medical Virology.
Russian Researchers Explain Origins of Dangerous Coronavirus Variants
HSE researchers, in collaboration with their colleagues from Skoltech and the Central Research Institute for Epidemiology, have uncovered the mechanisms behind the emergence of new and dangerous coronavirus variants, such as Alpha, Delta, Omicron, and others. They have discovered that the likelihood of a substitution occurring at a specific site of the SARS-CoV-2 genome is dependent on concordant substitutions occurring at other sites. This explains why new and more contagious variants of the virus can emerge unexpectedly and differ significantly from those that were previously circulating. The study’s findings have been published in eLife.
HSE Biologists Prepare Strategy for Universal COVID Test
Russian researchers have developed a strategy to create a cheap and rapid COVID-19 test based on isothermal amplification. According to their publication in Applied Biochemistry and Microbiology, use of this strategy will make it possible to create universal test systems for any of the COVID-19 variants.
People’s Values Affect Their Attitudes to COVID-19 Restrictions
HSE social and political analysts have established which value models and circumstances promote support for restrictive government policies aimed at combatting the coronavirus pandemic. The research is published in Plos One.
Model of Predator-Prey Relationship Helps Predict Spread of COVID-19
Researchers from the HSE Faculty of Economic Sciences have proposed a mathematical model that describes the course of the COVID-19 pandemic, taking into account the restrictions applied in different countries. The model will help governments make reasonable and timely decisions on introducing or lifting restrictions. The paper was published in Eurasian Economic Review.
HSE University Classes to Be Held On Site for All Students
Classes in the new academic year will take place on site for students of all HSE University campuses. Existing COVID safety precautions will remain in effect.
Russian Scientists Investigate the Immune Response to SARS-CoV-2 Variants
HSE University researchers assessed the effectiveness of the T-cell immune response to 11 variants of SARS-CoV-2. Their findings have been published in Nucleic Acids Research.
First-year Students Will Be Able to Get COVID Shots at HSE University
The new regulations ‘On the Organization of Studies for the 2021/2022 Academic Year’ feature in detail what will change for first-year students in the new academic year. HSE University will be organizing a vaccination drive in September for students aged 18 and over who are unvaccinated. Younger students will be eligible for vaccination once they turn 18.
New Safety Measures to Be Introduced at HSE University
Starting September 1, 2021, HSE University-Moscow is introducing new safety policies on campus to prevent the spread of COVID-19. They apply to students over 18 years old who have not had COVID during the last six months, have not been vaccinated (with a Russian or a foreign vaccine), nor have a medical exemption from vaccination. Free vaccination will be available on campus to all arriving students.
HSE University Creates the Viral Genealogy Simulator to Model the Spread of COVID-19
Researchers of HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM), in cooperation with their colleagues from the University of California, Santa Cruz (UCSC), and The European Bioinformatics Institute (EMBL-EBI), have developed software to model the spread of the COVID-19 global pandemic. This is the world’s fastest Viral Genealogy Simulator (VGsim). For more details about this scalable simulator, read the reprint on medRxiv. The code is freely available at GitHub.