Our brains contain millions of synapses — the connections that transmit messages from neuron to neuron. Within these synapses are hundreds of different proteins, and dysfunction of these proteins can lead to conditions such as schizophrenia and autism.
Researchers at MIT and the Broad Institute of Harvard and MIT have now devised a new way to rapidly image these synaptic proteins at high resolution. Using fluorescent nucleic acid probes, they can label and image an unlimited number of different proteins. They demonstrated the technique in a new study in which they imaged 12 proteins in cellular samples containing thousands of synapses.
“Multiplexed imaging is important because there’s so much variability between synapses and cells, even within the same brain. You really need to look simultaneously at proteins in the sample to understand what subpopulations of different synapses look like, discover new types of synapses, and understand how genetic variations impact them,”
says Mark Bathe, an MIT associate professor of biological engineering.
The researchers plan to use this technique next to study what happens to synapses when they block the expression of genes associated with specific diseases, in hopes of developing new treatments that could reverse those effects.
Bathe and Jeff Cottrell, director of translational research at the Stanley Center for Psychiatric Research at the Broad Institute, are the senior authors of the study. The lead authors of the paper are former postdocs Syuan-Ming Guo and Remi Veneziano, former graduate student Simon Gordonov, and former research scientist Li Li.
Imaging With DNA
Synaptic proteins have a variety of functions. Many of them help to form synaptic scaffolds, which are involved in secreting neurotransmitters and processing incoming signals.
While synapses contain hundreds of these proteins, conventional fluorescence microscopy is limited to imaging at most four proteins at a time.
To boost that number, the MIT team developed a new technique based on an existing method called DNA PAINT. Using this method, originally devised by Ralf Jungmann of the Max Planck Institute of Biochemistry, researchers label proteins or other molecules of interest with a DNA-antibody probe.
Then, they image each protein by delivering a fluorescent DNA “oligo” that binds to the DNA-antibody probes.
[caption id="attachment_100289” align="aligncenter” width="700”] Schematic of the PRISM imaging technique
Credit: Syuan-Ming Guo, et al. cc-BY[/caption]
The DNA strands have an inherently low affinity for each other, so they bind and unbind periodically, creating a blinking fluorescence can be imaged using super-resolution microscopy. However, imaging each protein takes about half an hour, making it impractical for imaging many proteins in a large sample.
Bathe and his colleagues set out to create a faster method that would allow them to analyze a huge number of samples in a short period of time. To achieve that, they altered the DNA-dye imaging probe so that it would bind more tightly to the DNA-antibody, using what are called locked nucleic acids.
The altering technique gives a much brighter signal, so the imaging can be done more quickly, but at slightly lower resolution.
“When we do 12 or 15 colors on a single well of neurons, the whole experiment takes an hour, compared with overnight for the super-resolution equivalent,”
The researchers used this technique to label 12 different proteins found in the synapse, including scaffolding proteins, proteins associated with the cytoskeleton, and proteins that are known to mark excitatory or inhibitory synapses. One of the proteins they looked at is shank3, a scaffold protein that has been linked to both autism and schizophrenia.
[caption id="attachment_100288” align="aligncenter” width="700”] Distributions of synaptic proteins within individual synapses.
a) DNA-PRISM images of neurons showing the subset channels of synaptic proteins (left), the subset channels of cytoskeletal proteins (middle), and all the channels (right).
b) Zoom-in view of two individual synapses in a shows the separation of pre-synaptic proteins (synapsin-I and bassoon) and post-synaptic proteins (PSD-95, SHANK3, Homer-1b/c). For each synapse, the nine-target image is shown in the top-left corner, with distinct pairs of synaptic proteins shown in the remaining images. Synapsin-I was imaged twice, once at the beginning and once at the end of the experiment.
c) Cross-sectional profiles of protein distributions along trans-synaptic axes (white boxes with arrows in b) of the two synapses in b. Red lines indicate the medians of the distributions. Scale bars: 10 μm in full field views; 500 nm in zoom-in views
Credit: Syuan-Ming Guo, et al. cc-BY[/caption]
By analyzing protein levels in thousands of neurons, the researchers were able to determine groups of proteins that tend to associate with each other more often than others, and to learn how different synapses vary in the proteins they contain. That kind of information could be used to help classify synapses into subtypes that might help to reveal their functions.
“Inhibitory and excitatory are the canonical synapse types, but it is speculated that there are numerous different subtypes of synapses, without any real consensus around what those are,”
The researchers also showed that they could measure changes in synaptic protein levels that occur after neurons are treated with a compound called tetrodotoxin (TTX), which strengthens synaptic connections.
“Using conventional immunofluorescence, you can typically extract information from three or four targets within the same sample, but with our technique, we were able to expand that number to 12 different targets within the same sample. We applied this method to examine synaptic remodeling that occurs following treatment with TTX, and our finding corroborated previous work that revealed a coordinated upregulation of synaptic proteins following TTX treatment,”
says Eric Danielson, an MIT senior postdoc who is an author of the study.
The researchers are now using this technique, called PRISM, to study how the structure and composition of synapses are affected by knocking down a set of genes reported previously to confer genetic risk for development of psychiatric disorders. Sequencing the genomes of people with disorders such as autism and schizophrenia has revealed hundreds of disease-linked gene variants, and for most of those variants, scientists have no idea how they contribute to disease.
“With this approach, we expect to provide a more detailed overview of the changes in synaptic organization and shared disease effects associated with these genes,”
says Karen Perez de Arce, a Broad Institute research scientist and an author of the study.
“Understanding how genetic variation impacts neurons’ development in the brain, and their synaptic structure and function, is a huge challenge in neuroscience and in understanding how these diseases arise,”
The research was funded by the National Institutes of Health, including the NIH BRAIN Initiative, the National Science Foundation, the Howard Hughes Medical Institute Simons Faculty Scholars Program, the Open Philanthropy Project, the U.S. Army Research Laboratory, the New York Stem Cell Foundation Robertson Award, and the Stanley Center for Psychiatric Research.
 Syuan-Ming Guo, Remi Veneziano, Simon Gordonov, Li Li, Eric Danielson, Karen Perez de Arce, Demian Park, Anthony B. Kulesa, Eike-Christian Wamhoff, Paul C. Blainey, Edward S. Boyden, Jeffrey R. Cottrell & Mark Bathe. Multiplexed and high-throughput neuronal fluorescence imaging with diffusible probes. Nature Communications, volume 10, Article number: 4377 (2019)
 Jungmann, R. et al. Multiplexed 3D cellular super-resolution imaging with DNA-PAINT and Exchange-PAINT. Nat. Methods 11, 313–U292 (2014).
Author: Anne Trafton. Reprinted with permission of MIT News