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Imaging nanoscale structures inside cells

07.11.2024 - A new technique to generate high-resolution images with a conventional light microscope.

A classical way to image nanoscale structures in cells is with high-powered, expensive super-resolution microscopes. As an alternative, MIT researchers have developed a way to expand tissue before imaging it – a technique that allows them to achieve nanoscale resolution with a conven­tional light micro­scope. In the newest version of this technique, the researchers have made it possible to expand tissue 20-fold in a single step. This simple, inexpensive method could pave the way for nearly any biology lab to perform nanoscale imaging.

“This democratizes imaging,” says Laura Kiessling, a member of the Broad Institute of MIT and Harvard and MIT’s Koch Institute for Inte­grative Cancer Research. “Without this method, if you want to see things with a high resolution, you have to use very expensive microscopes. What this new technique allows you to do is see things that you couldn’t normally see with standard micro­scopes. It drives down the cost of imaging because you can see nanoscale things without the need for a specialized faci­lity.” At the resolution achieved by this technique, which is around 20 nanometers, scientists can see organelles inside cells, as well as clusters of proteins. 

“Twenty-fold expansion gets you into the realm that biological molecules operate in. The building blocks of life are nanoscale things: bio­molecules, genes, and gene products,” says Edward Boyden, a member of MIT’s McGovern Institute for Brain Research and Koch Institute for Integrative Cancer Research. Boyden’s lab invented expansion microscopy in 2015. The technique requires embedding tissue into an absorbent polymer and breaking apart the proteins that normally hold tissue together. When water is added, the gel swells and pulls bio­molecules apart from each other. The original version of this technique, which expanded tissue about fourfold, allowed researchers to obtain images with a resolution of around 70 nanometers. In 2017, Boyden’s lab modified the process to include a second expansion step, achieving an overall 20-fold expansion. This enables even higher resolution, but the process is more complicated.

“We’ve developed several 20-fold expansion technologies in the past, but they require multiple expansion steps,” Boyden says. “If you could do that amount of expansion in a single step, that could simplify things quite a bit.” With 20-fold expansion, researchers can get down to a resolution of about 20 nanometers, using a conventional light microscope. This allows them see cell structures like micro­tubules and mito­chondria, as well as clusters of proteins. In the new study, the researchers set out to perform 20-fold expansion with only a single step. This meant that they had to find a gel that was both extremely absorbent and mechani­cally stable, so that it wouldn’t fall apart when expanded 20-fold. 

To achieve that, they used a gel assembled from N,N-dimethylacrylamide (DMAA) and sodium acrylate. Unlike previous expansion gels that rely on adding another molecule to form crosslinks between the polymer strands, this gel forms crosslinks spon­taneously and exhibits strong mechanical properties. Such gel components previously had been used in expansion microscopy protocols, but the resulting gels could expand only about tenfold. The team optimized the gel and the polymerization process to make the gel more robust, and to allow for 20-fold expansion. To further stabilize the gel and enhance its repro­ducibility, the researchers removed oxygen from the polymer solution prior to gelation, which prevents side reactions that interfere with cross­linking. This step requires running nitrogen gas through the polymer solution, which replaces most of the oxygen in the system. 

Once the gel is formed, select bonds in the proteins that hold the tissue together are broken and water is added to make the gel expand. After the expansion is performed, target proteins in tissue can be labeled and imaged. “This approach may require more sample prepara­tion compared to other super-reso­lution techniques, but it’s much simpler when it comes to the actual imaging process, especially for 3D imaging,” Shin says. “We document the step-by-step protocol in the manuscript so that readers can go through it easily.”

Using this technique, the researchers were able to image many tiny struc­tures within brain cells, including synaptic nanocolumns. These are clusters of proteins that are arranged in a specific way at neuronal synapses, allowing neurons to communicate with each other via secretion of neuro­transmitters such as dopamine. In studies of cancer cells, the researchers also imaged micro­tubules – hollow tubes that help give cells their structure and play important roles in cell division. They were also able to see mitochon­dria (organelles that generate energy) and even the organi­zation of individual nuclear pore complexes (clusters of proteins that control access to the cell nucleus).

Wang is now using this technique to image carbohydrates like glycans, which are found on cell surfaces and help control cells’ interactions with their environment. This method could also be used to image tumor cells, allowing scientists to glimpse how proteins are organized within those cells, much more easily than has previously been possible. The researchers envision that any biology lab should be able to use this technique at a low cost since it relies on standard, off-the-shelf chemicals and common equipment such confocal micro­scopes and glove bags, which most labs already have or can easily access. 

“Our hope is that with this new technology, any conven­tional biology lab can use this protocol with their existing micro­scopes, allowing them to approach resolution that can only be achieved with very specialized and costly state-of-the-art micro­scopes,” Wang says. (Source: MIT)

Reference: S. Wang et al.: Single-shot 20-fold expansion microscopy, Nat. Meth., online 11 October 2024; DOI: 10.1038/s41592-024-02454-9

Link: McGovern Institute for Brain Research, Massachusetts Institute of Technology MIT, Cambridge, USA

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