• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
  • HSE University
  • News
  • Biologists at HSE University Warn of Potential Errors in MicroRNA Overexpression Method

Biologists at HSE University Warn of Potential Errors in MicroRNA Overexpression Method

Biologists at HSE University Warn of Potential Errors in MicroRNA Overexpression Method

© HSE University

Researchers at HSE University and the RAS Institute of Bioorganic Chemistry have discovered that a common method of studying genes, which relies on the overexpression of microRNAs, can produce inaccurate results. This method is widely used in the study of various pathologies, in particular cancers. Errors in experiments can lead to incorrect conclusions, affecting the diagnosis and treatment of the disease. The study findings have been published in BBA

The work of a researcher involves not only continuous pursuit of new discoveries but also careful attention to conventional, established knowledge. Sometimes, reliable and seemingly proven methods have characteristics that were previously overlooked. 

A group of researchers led by Alexander Tonevitsky, Dean of the Faculty of Biology and Biotechnology at HSE University, have discovered such characteristics in the microRNA overexpression method. The scientists found that, in some cases, the results of experiments using this method may be incorrect, and these errors are very difficult to detect.

MicroRNAs (miRNAs) are small RNA molecules, approximately 20 to 25 nucleotides in length. They play an important role in regulating gene expression by determining how much protein will be synthesised in a cell from a specific molecule of messenger RNA (mRNA). This regulation is facilitated by a short fragment within the miRNA, which can bind to the target mRNA molecule if it finds a reverse complement (biologically compatible) sequence. When this occurs, protein synthesis from the mRNA is halted, leading to a decrease in gene expression. 

As diseases, including cancers, progress, changes in microRNA expression levels are observed. Specifically, in prostate cancer, the number of miR-93-5p microRNAs increases, and higher levels of their expression are associated with greater aggressiveness of the disease. By significantly increasing the number of miRNA in laboratory cells, researchers can gain a clearer understanding of the processes associated with elevated expression of this miRNA. 

A common approach for miRNA overexpression involves initially increasing the amount of precursor RNA in cells—a longer molecule from which miRNA is subsequently generated through cleavage by the Dicer enzyme. This is a natural process for the cell. However, the sequence of miRNAs formed as a result depends on how accurately the Dicer enzyme cleaves the precursor molecule. 

The authors of the paper studied how the Dicer enzyme cleaves the molecule. They encoded the desired sequence in the precursor molecule, anticipating that Dicer would accurately cleave it as intended. However, it turned out that Dicer does not always operate as scientists expect. The enzyme primarily functions like a molecular ruler, consistently measuring a length of 22 nucleotides. During the synthesis of the precursor molecule, one or more uracils (a nucleotide base unique to RNA) are typically added to the end of the sequence. As a result, if a given miRNA sequence is longer than 19 nucleotides, the added uracils cause Dicer to cleave the molecule at an unintended location. This shift leads to the formation of miRNA isoforms. 

Fig. 1 Formation of microRNAs by the Dicer enzyme, depending on the sequence length
© Diana Maltseva, at el. Incautious design of shRNAs for stable overexpression of miRNAs could result in generation of undesired isomiRs, Biochimica et Biophysica Acta (BBA) — Gene Regulatory Mechanisms, Volume 1867, Issue 3, 2024

To investigate the cause of the shift in cleavage position of the precursor molecule, the scientists experimentally set several miRNA sequences of varying lengths, including a 23-nucleotide chain corresponding to the miR-93-5p miRNA. Using sequencing—a method that fully deciphers the nucleotide sequence of RNA or DNA molecules—the scientists observed that the added uracils in chains longer than 19 nucleotides cause a shift in the cleavage position. 

Diana Maltseva

The formation of miR-93-5p miRNA isoforms resulted in a decrease in the expression of the HMGA1 gene, which plays a role in disrupting genetic information transmission during cell division and in regulating gene expression. However, HMGA1 was not the target of the standard form of miR-93-5p. Without knowledge of miRNA isoform formation, one might draw incorrect conclusions about the molecular mechanisms of the studied miRNA in prostate cancer. 

'Isoforms may target the wrong mRNA molecules instead of those intended in the experiment, leading to the suppression of unintended genes. Understanding this peculiarity is crucial for both basic research and medical applications,' according to Diana Maltseva, Head of the International Laboratory of Microphysiological Systems at HSE University

Scientists worldwide use the miRNA overexpression method in their experiments. Typically, the accuracy of the results is verified using polymerase chain reaction (PCR). However, this method was not sufficiently sensitive in this case. 

'Our study has shown that only sequencing can reveal the shift in the cleavage position. Unfortunately, sequencing is a relatively expensive method, and not all laboratories can afford it. Therefore, it is crucial to develop new methods for miRNA overexpression and to design experiments carefully,' Maltseva comments.

 

See also:

Russian Physicists Determine Indices Enabling Prediction of Laser Behaviour

Russian scientists, including researchers at HSE University, examined the features of fibre laser generation and identified universal critical indices for calculating their characteristics and operating regimes. The study findings will help predict and optimise laser parameters for high-speed communication systems, spectroscopy, and other areas of optical technology. The paper has been published in Optics & Laser Technology.

Children with Autism Process Auditory Information Differently

A team of scientists, including researchers from the HSE Centre for Language and Brain, examined specific aspects of auditory perception in children with autism. The scientists observed atypical alpha rhythm activity both during sound perception and at rest. This suggests that these children experience abnormalities in the early stages of sound processing in the brain's auditory cortex. Over time, these abnormalities can result in language difficulties. The study findings have been published in Brain Structure and Function.

Smartphones Not Used for Digital Learning among Russian School Students

Despite the widespread use of smartphones, teachers have not fully integrated them into the teaching and learning process, including for developing students' digital skills. Irina Dvoretskaya, Research Fellow at the HSE Institute of Education, has examined the patterns of mobile device use for learning among students in grades 9 to 11.

Working while Studying Can Increase Salary and Chances of Success

Research shows that working while studying increases the likelihood of employment after graduation by 19% and boosts salary by 14%. One in two students has worked for at least a month while studying full time. The greatest benefits come from being employed during the final years of study, when students have the opportunity to begin working in their chosen field. These findings come from a team of authors at the HSE Faculty of Economic Sciences.

Beauty in Details: HSE University and AIRI Scientists Develop a Method for High-Quality Image Editing

Researchers from theHSE AI Research Centre, AIRI, and the University of Bremen have developed a new image editing method based on deep learning—StyleFeatureEditor. This tool allows for precise reproduction of even the smallest details in an image while preserving them during the editing process. With its help, users can easily change hair colour or facial expressions without sacrificing image quality. The results of this three-party collaboration were published at the highly-cited computer vision conference CVPR 2024.

HSE Scientists Have Examined Potential Impact of Nuclear Power on Sustainable Development

Researchers at HSE University have developed a set of mathematical models to predict the impact of nuclear power on the Sustainable Development Index. If the share of nuclear power in the global energy mix increases to between 20% and 25%, the global Sustainable Development Index (SDI) is projected to grow by one-third by 2050. In scenarios where the share of nuclear power grows more slowly, the increase in the SDI is found to be lower. The study has been published in Nuclear Energy and Technology.

HSE Scientists Have Developed a New Model of Electric Double Layer

This new model accounts for a wide range of ion-electrode interactions and predicts a device's ability to store electric charge. The model's theoretical predictions align with the experimental results. Data on the behaviour of the electric double layer (EDL) can aid in the development of more efficient supercapacitors for portable electronics and electric vehicles. The study has been published in ChemPhysChem

Psychologists from HSE University Discovered How Love for Animals Affects Relationships with People

Researchers from HSE University have identified a connection between attachment to pets and attitudes toward nature and other people. The study found that the more joy people derive from interacting with their pets, the more they want to help others. However, love for animals is not always associated with concern for nature. The findings were published in the Social Psychology and Society journal.

HSE Scientists Propose Using Heart Rate Analysis to Diagnose Anxiety and Depression

A group of scientists at HSE University have discovered how anxiety and depression can be diagnosed by analysing heart rate. It turns out that under mental stress, the heart rate of individuals with a predisposition to mental health disorders differs from that of healthy individuals, especially when performing more complex tasks. These changes in cardiovascular parameters can even be detected using a pulse oximeter or a smartwatch. The study findings have been published in Frontiers in Psychiatry.

Researchers at HSE in St Petersburg Develop Superior Machine Learning Model for Determining Text Topics

Topic models are machine learning algorithms designed to analyse large text collections based on their topics. Scientists at HSE Campus in St Petersburg compared five topic models to determine which ones performed better. Two models, including GLDAW developed by the Laboratory for Social and Cognitive Informatics at HSE Campus in St Petersburg, made the lowest number of errors. The paper has been published in PeerJ Computer Science.