Tools for surveying brain cell types and circuits must be scalable, both in the number of molecular targets visualizable at once, and in the size of the tissues that can be assessed. They also must be high resolution, since cellular compartments such as axons, dendrites, and synapses exhibit nanoscale feature sizes. Despite rapid progress by many teams in multiplexed imaging of expressed RNAs in intact brain circuits, or ?spatial transcriptomics?, technologies for multiplexed imaging of proteins intact brain circuits lag behind, despite the fact that knowing the precise identity and location of proteins in defined synaptic, axonal, dendritic, and subcellular compartments is one of the keys to understanding neural function, and thus deriving cell types for a systematic census. Furthermore, given that many proteins are located in specific nanoscale compartments of neurons, and many attain their full functionality only in the context of densely packed nanoscale complexes of many proteins7, the need for nanoscale mapping is even more acutely felt for proteins than for RNAs. We here propose to address these limitations by creating (Aim 1) a full toolbox for the multiplexed imaging of at least 30, and ideally 50, proteins at once, by optimizing the use of DNA-barcoded antibodies for rapid serial imaging of many different neural proteins (aka Immuno-SABER, developed by the group of PI Peng Yin), in the context of expansion microscopy, a radical new method for nanoimaging that utilizes physical expansion of the sample (developed by the group of PI Ed Boyden). We will also develop, for the purposes of Immuno-SABER multiplexed antibody imaging, a new form of expansion microscopy that decrowds proteins from one another, for better access by antibodies (Aim 2). Finally, we will integrate the nanoscale, highly multiplexed, spatial proteomics methods described above with spatial transcriptomics (Aim 3). We will integrate in situ sequencing of expanded specimens, an existing project of the Boyden lab (manuscript in preparation), with the Immuno- SABER protocol of Aim 1. In this way we will be able to simultaneously survey proteomic and transcriptomic information, throughout neural architectures, with nanoscale precision. We will aim to deliver the ability to survey at least 100 transcripts and 30 proteins, and ideally 150 transcripts and 50 proteins, in the same brain specimen. We will validate and demonstrate the power of our technology in the context of our BICCN U19 collaborators' brain circuits of interest. Importantly, we are focusing from the beginning on the questions of scale and accuracy, key to the success of the BICCN.
We aim to deliver to the neuroscience community not just a toolbox that is easy to use, but very powerful. Our toolbox will confront, head on, the limitations of previous protein imaging strategies that lack scale in terms of numbers of proteins imageable, resolution, and combinability with transcriptomics. Through regular meetings and discussions with our BICCN network collaborators, we will insure that our technologies will seamlessly incorporate into the pipelines, workflows, and coordinate frameworks of the BICCN mission.

Public Health Relevance

The proposed research will result in technologies that enable the nanoscale mapping of proteins throughout brain circuits. Such technologies will open up the ability to map the key building blocks of brain cells in healthy and disease states, revealing new therapeutic targets and disease mechanisms.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Multi-Year Funded Research Project Grant (RF1)
Project #
1RF1MH124606-01
Application #
10088537
Study Section
Special Emphasis Panel (ZMH1)
Program Officer
Yao, Yong
Project Start
2020-09-16
Project End
2023-09-15
Budget Start
2020-09-16
Budget End
2023-09-15
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02142