Watch a virus in the moments right before it attacks

Watch a virus in the moments right before it attacks
3D tracking and imaging (3D-TrIm). a, Experimental setup. Fluorescently labeled VLPs are added to live cells plated on a coverslip. The sample is placed on a heated sample holder mounted on a piezoelectric stage. Inset, sampling rate comparison among spinning disk, light sheet and 3D-TrIm. FPS, frames per second. b, Overview of 3D-SMART tracking of single viruses. The EOD and TAG lens rapidly scan the focused laser spot around the local particle area. Photon arrival times and the current laser position are used to calculate the position of the virus within the scan area. Using the measured position, the piezoelectric stage moves to recenter the virus within the scan area. c, Concept of 3D-FASTR volumetric imaging. By outfitting a traditional two-photon LSM with an ETL, a repeatable, tessellated 3D sampling pattern can be generated during each frame-time. Over a set 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 areas around the particle (black dot). These time-resolved local volumes can be used to generate an integrated global volume. Credit: Nature Methods (2022). DOI: 10.1038/s41592-022-01672-3

When Courtney "CJ" Johnson pulls up footage from her Ph.D. dissertation, it's like she's watching an attempted break-in on a home security camera.

The intruder cases its target without setting a foot inside, looking for a point of entry. But this intruder is not your typical burglar. It's a virus.

Filmed over two and a half minutes by pinpointing its location 1,000 times a second, the footage shows a tiny virus particle, thousands of times smaller than a grain of sand, as it lurches and bobs among tightly packed .

For a fleeting moment, the virus makes contact with a cell and skims along its surface but doesn't stick before bounding off again. If this were an actual home break-in, Johnson says, "this would be the part where the burglar has not broken the window yet."

A microscopic video shows a virus (purple track) 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 chemistry professor Kevin Welsher. Together with Welsher's postdoctoral associate Jack Exell and colleagues, they have come up with 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, ingest and take in millions of viruses every day. Most of them are harmless, but some of them—such as the viruses that cause the flu or COVID-19—can make us sick.

Demonstration of 3D-TrIm operating principle. Animation sequence begins with overview of experimental setup in which a heated sample containing virus-like particles (VLP) and live cells are mounted on a piezoelectric stage with an objective lens shared by both tracking and imaging microscope sources. This overview is followed by an animation of 3D-SMART real-time tracking, demonstrating how a pair of Electro-Optic Deflectors (EOD) create a lateral Knight's Tour grid pattern, followed by the use of a Tunable Acoustic Gradient (TAG lens) to scan a focal range above and below the center of the focal volume. A final animation demonstrates the principle of 3D-FASTR point-scan imaging. Credit: Nature Methods (2022). DOI: 10.1038/s41592-022-01672-3

Infection starts when a virus binds to and enters a cell, where it hijacks the cellular machinery to make copies of itself. But before it can break in, a virus has to reach the cell first, Johnson said.

That often means getting through the protective layer of and mucus that line the airways and the gut—one of the body's first lines of defense against infection.

VSV-G exploring the extracellular matrix, related to Fig. 2a,b. 3D reconstruction of real-time 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, at 16 FPV. Trajectory (~162 s) is segmented into 25 segments per second (25 frames per second when playback rate is 1×) and color mapped by 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 (refreshing rate is consistent with the trajectory, that is, 25 FPS at 1× playback rate). Image volumes formed from 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 depending on 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 with b. Credit: Nature Methods (2022). DOI: 10.1038/s41592-022-01672-3

The researchers wanted to understand how viruses breach these frontline 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 watch with existing microscopy methods, he added.

Part of the reason is that viruses move two to three orders of magnitude faster in the unconfined space outside the cell, compared with its crowded interior. To make things even trickier from an imaging perspective, viruses are hundreds of times smaller than the cells they infect.

"That's why this is such a hard problem to study," Johnson said. Under the microscope, "it's like you're trying to take a picture of a person standing in front of a skyscraper. You can't get the whole skyscraper and see the details of the person in front of it with one picture."

So the team developed a new method called 3D Tracking and Imaging Microscopy (3D-TrIm), which essentially combines two microscopes in one. The first microscope "locks on" to the fast-moving virus, sweeping a laser around the virus tens of thousands of times per second to calculate and update its position. As the virus bounces and tumbles around in the soupy exterior of the cell, the microscope stage continuously 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 akin to navigating with Google Maps: it not only shows your current location as you drive, it also shows the terrain, landmarks and the overall lay of the land, but in 3D.

"Sometimes when I present this work people ask, 'is this a or a simulation?'" said Johnson, now a postdoctoral associate at the Howard Hughes Medical Institute Janelia Research Campus. "No, this is something that came from a real microscope."

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

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

But Welsher said he hopes the technique will make it possible to follow viruses in action beyond the coverslip, and in more realistic tissue-like environments where infections first take hold.

"This is the real promise of this method," Welsher said. "We think that's something we have the possibility to do now."

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

Journal information: Nature Methods

Provided by Duke University

Citation: Watch a virus in the moments right before it attacks (2022, November 11) retrieved 26 May 2024 from
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