• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

When a Virus Steps on a Mine: Ancient Mechanism of Infected Cell Self-Destruction Discovered

When a Virus Steps on a Mine: Ancient Mechanism of Infected Cell Self-Destruction Discovered

© iStock

When a virus enters a cell, it disrupts the cell’s normal functions. It was previously believed that the cell's protective response to the virus triggered cellular self-destruction. However, a study involving bioinformatics researchers at HSE University has revealed a different mechanism: the cell does not react to the virus itself but to its own transcripts, which become abnormally long. The study has been published in Nature.

Many viruses act in a similar way: they block the activity of cellular genes and reprogram the cell to produce viral proteins. As a result, the cell stops making its protective molecules and becomes vulnerable. However, as researchers have discovered, this process can sometimes backfire against the viruses themselves.

Biologists and bioinformatics researchers from the USA, the UK, Germany, China, and Russia have investigated how cells are able to recognise a viral attack. The researchers infected cells with herpes and influenza viruses and used RIP sequencing to analyse the cells. This technology makes it possible to isolate RNAs associated with specific proteins within a cell and thereby observe how the activity of cellular genes changes after infection.

The analysis revealed that viral proteins prevent the cell from properly completing transcription—the process of reading information from DNA. As a result, RNA synthesis fails to stop at the right time, producing excessively long molecules instead of the required transcripts. These elongated RNAs contain fragments of 'junk' DNA—ancient viral insertions that have accumulated in our genome over millions of years of evolution. Under normal conditions, these regions remain inactive, but when transcription goes awry, they are read and form structures with a unique shape: left-handed double helices, known as Z-RNA.

An increased number of such molecules is perceived by the cell as a danger signal. Their recognition is carried out by the ZBP1 protein, a sensor of intracellular immunity. As soon as it detects the accumulation of Z-RNA, the cell activates a self-destruction program—apoptosis or necroptosis. As a result, the virus does not have time to exploit the cell’s resources for its own replication.

How a viral attack triggers cell self-destruction. A viral infection disrupts the proper completion of transcription, leading to the formation of long RNAs containing fragments of ancient viral inserts. These regions fold into Z-RNA structures, which are recognised by the ZBP1 protein, thereby triggering cell death.
© InsideOutBio, Inc

Maria Poptsova

'It turns out that when a virus tries to suppress the activity of cellular genes and exploit the cell’s resources for its own replication, it triggers the cell’s self-destruction mechanism. It’s as if the virus steps on a mine laid by innate immunity: the cell dies along with the virus, preventing its further spread,' comments Maria Poptsova, Head of the Centre for Biomedical Research and Technology at the HSE Faculty of Computer Science.

The scientists suggest that this protective mechanism may also operate in other viral infections that disrupt the transcription process. Moreover, the researchers were able to reproduce the same effect artificially: the drug JTE-607, currently in clinical trials as an anticancer agent, also induces the formation of Z-RNA. This mechanism could potentially be harnessed in therapy—for instance, to selectively trigger the death of cancer cells or to enhance the immune response.

The study was conducted with support from HSE University's Basic Research Programme within the framework of the Centres of Excellence project.

See also:

Scientists Develop Algorithm for More Reliable Processors in Data Centres

Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

Researchers Develop Method for Direct Generation of Regulatory DNA

Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’

Researchers at HSE University and Sber Train Neural Networks to Better Predict User Preferences

The HSE FCS AI and Digital Science Institute and Sber have introduced a new architecture for recommendation systems that combines two classes of models, enabling algorithms to better predict users’ interests and needs. A preprint of the paper has been published on arxiv.org and presented at Urban ML.

Social Integration: At the Crossroads of Knowledge and Values

The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

Physicists Discover What Happens Inside a Stable Vortex

Large vortices with characteristic spiral arms are often observed in the atmosphere and the ocean. Physicists from HSE University have explained how these structures form and why they retain their shape. The researchers found that velocities at points located along the same vortex arc remain correlated even over long distances. At the same time, this correlation weakens rapidly with increasing distance from the vortex centre. These differences help explain the formation of spiral arms and may improve models of atmospheric and oceanic currents. The findings have been published in Physical Review Fluids.

HSE Computer Science Researchers Win Gold Medal at International Machine Learning Competition

A team comprising HSE International Laboratory of Statistical and Computational Genomics researchers Aleksei Shmelev and Nikita Chervov, 2025 graduate of the HSE Faculty of Computer Science’s Master’s programme in Data Analysis in Biology and Medicine Ivan Gevorkov, and two students from the United States achieved an outstanding result at the 2026 NeuroGolf international machine learning championship. The team won a gold medal and placed seventh overall.

‘Working with AI Solves a Wide Range of Engineering Problems’

Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.

‘The Peak of Stupidity’ and ‘The Valley of Despair’: HSE Economists Propose an Explanation for the Dunning–Kruger Effect

The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

Toffee and Risk: Scientists Discover Why People Who Crave Sweets Make More Impulsive Choices

Having a sweet tooth may be linked not only to eating habits but also to the way people make decisions. Researchers at HSE University have found that people with a preference for sweet foods tend to behave more impulsively—not because they want immediate rewards, but because they are less willing to tolerate uncertainty. These findings may help improve treatments for addiction. The study findings have been published in Frontiers in Psychology.

Advancing Collaboration: HSE Faculty of Computer Science and Harbin Institute of Technology Hold Joint Seminar

From July 13 to 16, 2026, the Faculty of Computer Science hosted the Russian–Sino Research Seminar on Machine Learning Applications, organised by the HSE Laboratory for Cloud and Mobile Technologies in partnership with the Harbin Institute of Technology (China). A delegation comprising seven students and three university representatives travelled to Moscow to take part in an intensive four-day programme.