May 29, 2023
Track a virus in the moments just before it attacks

Track a virus in the moments just before it attacks

a, Experimental setup. Fluorescently labeled VLPs are added to live cells plated on a coverslip. The sample is placed in a heated sample holder mounted on a piezoelectric stage. Inset, sampling rate comparison between spinning disk, light sheet and 3D-TrIm. FPS, frames per second. b, Overview of 3D-SMART tracking of individual viruses. The EOD and TAG lens rapidly scans the focused laser spot around the local area of ​​the particles. Photon arrival times and the current laser position are used to calculate the location of the virus within the scan area. Using the measurement position, the piezoelectric stage is moved to bring the virus back into the scanning area. c, Concept of 3D-FASTR volumetric imaging. By equipping a traditional two-photon LSM with an ETL, a repetitive 3D pixel sampling pattern can be generated during each frame time. In a specified number of frame-times, the entire volume is sampled. d, Construction of global volumes in 3D-TrIm. As the virus diffuses, 3D-SMART moves the sample and the 3D-FASTR imaging system collects sequential volumes from different regions around the particle (black dot). These time-resolved local volumes can be used to create a complete global volume. Special offer: Nature Methods (2022). DOI: 10.1038/s41592-022-01672-3″ width=”800″ height=”530″/>

3D tracking and imaging (3D-TrIm). one, Experimental setup. Fluorescently labeled VLPs are added to live cells plated on a coverslip. The sample is placed in a heated sample holder mounted on a piezoelectric stage. Inset, sampling rate comparison between spinning disk, light sheet and 3D-TrIm. FPS, frames per second. si, Overview of 3D-SMART tracking of single viruses. The EOD and TAG lens rapidly scans the focused laser spot around the local area of ​​the particles. Photon arrival times and the current laser position are used to calculate the location of the virus within the scan area. Using the measurement position, the piezoelectric stage is moved to bring the virus back into the scanning area. do, 3D-FASTR volumetric imaging concept. By equipping a traditional two-photon LSM with an ETL, a repetitive 3D pixel sampling pattern can be generated during each frame time. In a specified number of frame-times, the entire volume is sampled. Hey, Construction of global volumes in 3D-TrIm. As the virus diffuses, 3D-SMART moves the sample and the 3D-FASTR imaging system collects sequential volumes from different regions around the particle (black dot). These time-resolved local volumes can be used to create a complete global volume. Credit: Nature Methods (2022). DOI: 10.1038/s41592-022-01672-3

When Courtney “CJ” Johnson takes footage of her Ph.D. thesis, it’s like watching a burglary attempt on a home security camera.

The attacker grabs their target without setting foot inside, looking for an entry point. But this intruder is not your typical burglar. It’s a virus.

Filmed in two and a half minutes by tracking its position 1,000 times a second, the footage shows a tiny virus particle, thousands of times smaller than a grain of sand, as it drifts between tightly packed human intestinal cells.

For a fleeting moment, the virus makes contact with a cell and passes along its surface, but does not stick before detaching again. If it was an actual home burglary, Johnson says, “that would be the place where the burglar hasn’t broken the window yet.”






A tiny video shows a virus (purple trace) as it finds its way to the surface of human intestinal cells (green). Credit: The Welsher lab, Duke University

Johnson is part of a Duke University team led by assistant professor of chemistry Kevin Welsher. Along with Welsher’s postdoctoral associate Jack Exell and colleagues, they have found a way to capture real-time 3D footage of viruses as they approach their cellular targets. Their research is published today in the journal Nature Methods.

We inhale, swallow and ingest millions of viruses every day. Most of them are harmless, but some of them—like the viruses that cause the flu or COVID-19—can make us sick.






Demonstration of the 3D-TrIm operating principle. The animation sequence begins with an overview of the experimental setup in which a heated sample containing virus-like particles (VLPs) and live cells is placed on a piezoelectric stage with an objective lens shared by both tracking microscope and microscope sources imaging. This overview is followed by a real-time 3D-SMART tracking animation showing how a pair of Electro-Optical Deflectors (EODs) creates a Knight’s lateral browsing grid pattern, followed by using a tuned acoustic gradient (TAG lens) to scan a focal length above and below the center of focal intensity. A final animation shows the beginning of 3D-FASTR point scan imaging. Credit: Nature Methods (2022). DOI: 10.1038/s41592-022-01672-3

Infection begins when a virus binds to and enters a cell, where it tricks the cellular machinery into making copies of itself. But before it can enter, a virus must first reach the cell, Johnson said.

This often means that it passes through the protective layer of cells and mucus that line the airways and gut – one of the body’s first lines of defense against infection.






VSV-G exploring the extracellular matrix, related to Fig. 2a,b. Real-time 3D reconstruction of VSV-G VLP trajectory in extracellular matrix of live GM701 cells (stained with F-actin label SiR650-actin), from a 4D dataset covering 10 local volumes, in 16 FPVs. The trajectory (~162 s) is segmented into 25 segments per second (25 frames per second when the playback rate is 1×) and color mapped to time. The progress bar shows how the trajectory is further categorized: (1) Free diffusion period (playback rate: 2×): ​​0–14 s, 18–38 s, 44–62 s, 70–108 s. (2) Skimming period (playback rate: 1×): 14–18 s, 38–44 s, 62–70 s, 108–122 s. (3) Detachment (playback rate: 2×): ​​122–162 s. Sphere represents the VLP position in the current frame (refresh rate is consistent with the trajectory, i.e. 25 FPS at 1× playback rate). Image volumes were formed by maximum intensity projection over time from local volumes acquired over 16 frame-times. In a, cells are color-coded by imaging intensity, while in b, cells are color-coded by distance of the virus from the cell surface. Panels a and b share the same trajectory color scale, camera angle, and camera path. However, a is magnified compared to b. Credit: Nature Methods (2022). DOI: 10.1038/s41592-022-01672-3

Researchers wanted to understand how viruses breach these first-line defenses. “How do viruses navigate these complex barriers?” Welsher said. But these critical early moments before infection begins have long been difficult, if not impossible, to track with existing microscopy methods, he added.

Part of the reason is that viruses move two to three orders of magnitude faster in the unbounded space outside the cell, compared to its crowded interior. To make matters even more difficult from a visual perspective, viruses are hundreds of times smaller than the cells they infect.

“That’s why this problem is so hard to study,” Johnson said. Under the microscope, “it’s like trying to take a picture of a person standing in front of a skyscraper. You can’t take the whole skyscraper and see the details of the person in front of it with a picture.”

So the team developed a new method called 3D Tracking and Imaging Microscopy (3D-TrIm), which essentially combines two microscopes into one. The first microscope “locks on” to the fast-moving virus, scanning a laser around the virus tens of thousands of times a second to calculate and update its position. As the virus bounces and tumbles around the soupy exterior of the cell, the microscope stage constantly adjusts to keep it in focus.

While the first microscope tracks the virus, the second microscope takes 3D images of the surrounding cells. The combined effect, Welsher said, is similar to navigating with Google Maps: it doesn’t just show your current location as you drive, it also shows terrain, landmarks and the overall landmass, but in 3D.

“Sometimes when I present this project, people ask, ‘is this a video game or a simulation?’ said Johnson, now a postdoctoral fellow at the Howard Hughes Medical Institute, Janelia Research Campus. “No, that’s something that came from a real microscope.”

With their method, researchers can’t just, say, watch a healthy person breathe in virus particles from an infected person’s cough or sneeze. First, they have to attach a special fluorescent tag to a virus before they can track it—what the microscope follows is the movement of the glowing spot. And currently they can only watch a virus for a few minutes at a time before it fades.

“The biggest challenge for us now is to produce brighter viruses,” Exell said.

However, Welsher said he hopes the technique will make it possible to watch viruses in action beyond coverage, and in more realistic tissue-like environments where infections start to take hold.

“That’s the real promise of this method,” Welsher said. “We think that’s something we have the ability to do now.”

More information:
Courtney Johnson et al, Charting the starting point of virus-cell interaction with high-speed 3D tracking of a virus, Nature Methods (2022). DOI: 10.1038/s41592-022-01672-3

Provided by Duke University

Reference: Watch a virus in the moments just before it strikes (2022, November 11) retrieved November 11, 2022 from https://phys.org/news/2022-11-virus-moments.html

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