A Real-Time Look at How Viruses Attack at the Single-Cell Level
Infectious viruses come in many shapes and sizes and use slightly different attack mechanisms to make humans and animals sick. But all viruses share something in common: They can only do damage by replicating inside the cells of another organism – their host.
This broad, fundamental process of how viruses trick host cells into making copies of the virus has had a team of Colorado State University scientists captivated for several years. A collaboration between the labs of Monfort Professor Tim Stasevich, in the Department of Biochemistry and Molecular Biology, and Associate Professor Brian Munsky, in the Department of Chemical and Biological Engineering, is on a mission to understand, in visual detail and with mathematical precision, all aspects of viral attack strategies, including how viruses invade host cell protein-making machinery. Their work, supported by grants from the National Institute of General Medicine and the W. M. Keck Foundation, could provide insight into predicting and fighting back against all manner of viral diseases.
For the first time ever, the team has shown an important mechanism in this host-attacking process, at the single-molecule level in living cells, and they have reproduced these behaviors in computational models. Their new experiments and models, published in Nature Structural and Molecular Biology, reveal in unprecedented detail how viruses initiate translation of genetic material into proteins.
Hijacking the host
Since viruses do not encode their own replication machinery, they hijack that of their host cells by stealing cellular machines called ribosomes, which are essential for making proteins from the genetic material found in RNA. Many viral genomes contain special RNA structures called Internal Ribosome Entry Sites, or IRES, that capture ribosomes from the host, forcing those ribosomes to make viral proteins.
Researchers know that when IRES-related RNA translation takes place, the virus has succeeded in commandeering the host’s ribosomes. The CSU researchers invented a biosensor that lights up blue when viral translation is happening, and green when normal host translation is happening, in single living cells. This design allows them to differentiate between normal host processes and viral processes, in real time.
The sensor combines the relevant bits of virus (not the whole virus) that interact with and steal host ribosomes, along with two distinct protein tags that glow the moment RNA is translated. First author and graduate student Amanda Koch spent more than a year developing the sensor, with the goal of looking at host protein RNA translation, and virus-related RNA translation, at the same time.
Luis Aguilera, a postdoctoral researcher in the Munsky group, built a detailed computational model to reproduce Koch’s fluorescence microscopy videos. By analyzing Koch’s data through the lens of dozens of hypotheses and millions of possible combinations, Aguilera discovered complex biochemical mechanisms that the biochemists couldn’t directly see. His models showed that both healthy human RNA and viral RNA fluctuate between states that actively express proteins and those that are silent.
In addition to examining viral translation in normal cells, Koch’s biosensor allows the researchers to visualize the effects of different types of stress that cells undergo when being attacked by a virus, and how, where and when normal versus viral translation increase or decrease. The integration of Koch’s microscopy data and Aguilera’s computational models revealed that the relationship between normal and IRES-mediated translation is largely one-sided – in healthy cells, normal translation dominates, but in cells under stress, IRES translation dominates.
The Stasevich and Munsky teams envision that the combination of their unique biochemical sensors and detailed computational analyses will provide powerful tools to understand, predict, and control how future drugs might work to inhibit viral translation without affecting host translation.
Future COVID-19 applications
As the researchers look ahead to the future, they have their sights next set on COVID-19. Although SARS-CoV-2 does not contain an IRES, according to Koch “our biosensor is modular and can easily incorporate pieces of SARS-CoV-2 to explore how it uniquely hijacks host replication machinery during infection.”
“We are proving, more and more, that we can look at these nuanced dynamics of how viruses are sneaking past their hosts to infect a lot of cells and make us sick,” Koch said.
Reference: Koch A, Aguilera L, Morisaki T, Munsky B, Stasevich TJ. Quantifying the dynamics of IRES and cap translation with single-molecule resolution in live cells. Nature Structural & Molecular Biology. Published online September 21, 2020. doi:10.1038/s41594-020-0504-7.
This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.