SBIR/STTR Research Award

A Highly Multiplexed, Multiomic 3D Mouse Brain Map Using MALDI-IHC

Award identifier d25ac230c85212439758708119b95244d5906de4bc646dcb5bf822a1acdf3dbbAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,994,554

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2022

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
AMBERGEN, INC
Proposal award date
2022-09-15
Contract end date
2024-08-31
UEI
N9DGN6JJG5V5
Solicitation number
PA21-259
Topic code
101

Research abstract

Summary/Abstract A central goal of the NIH Brain Initiative is to develop new imaging tools sufficiently powerful to spatially map at high resolution the neuronal circuitry and underlying molecular composition of the brain. While cutting edge imaging tools and related labeling techniques have been developed, it is still a major challenge to map the spatial distribution at different length scales of the thousands of biomolecules, including expressed proteins, which play key roles in brain function. The goal of this Phase II project is to evaluate the ability of a new tissue imaging technology developed by AmberGen, termed MALDI-IHC, to rapidly create a highly multiplexed, multiomic and multimodal 3D molecular map of the mouse brain. The development of MALDI-IHC for whole brain imaging will provide neuroscientists with an important new tool for exploring the underlying molecular basis of brain function and neurodegenerative disorders. MALDI-IHC is based on the use of novel photocleavable mass-tags (PC-MTs) developed by AmberGen which when linked to antibody or lectin probes enable targeted biomolecules to be identified in the mass spectrometric image. This approach significantly exceeds the multiplex capability of fluorescence immunohistochemistry (IHC) and previous cleavable mass-tag based methods which are generally limited to 5 biomarkers or require extensive cycling procedures. It also exceeds the capability of metal-tagged antibody techniques such as IMC and MIBI which can probe small mm2 regions at subcellular resolution but are limited to approximately 40 antibody probes and require several days to scan a whole tissue section. In contrast, MALDI-IHC can image an entire mouse brain FFPE section for over 100 targeted proteins at 40 µm resolution in less than one hour. The ability of MALDI-IHC to perform label-free, untargeted small molecule mass spectrometric imaging (MSI), fluorescence imaging using unique dual-labeled fluorescent-PC-MT probes and high-plex imaging of intact expressed proteins including glycosylation patterns on the same tissue section greatly extends the power of this approach. During Phase I, we demonstrated the feasibility of this combined approach on mouse brain FF and FFPE tissue specimens. During Phase II, we will develop methods using MALDI-IHC to reconstruct whole mouse brain protein expression maps at 40 µm voxel resolution. FFPE sagittal and coronal mouse brain tissue slices from mouse brain will be probed by MALDI-IHC using a panel of 50 NeuroMab PC-MT antibodies and 25 PC-MT lectins. Validation of individual PC-MT probes will be performed by comparing MALDI-IHC and fluorescence IHC images. A 3D tri-modal map of the mouse brain merging both metabolites and expressed proteins will also be reconstructed based on a demonstrated workflow that involves MSI of unlabeled small molecules from successive FF specimens, IHC staining with a 75-plex panel of PC-MT probes including some dual-labeled PC-MT antibodies, and fluorescence imaging followed by MSI of the PC-MTs. Reconstruction of 3D maps, visualization and image analysis will be performed using Bruker SCiLS™ software. Commercialization of MALDI-IHC technology will be accelerated by a close collaboration with Bruker Daltonics, the market leader of MALDI-MSI instrumentation.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

56 SBIR/STTR records share this UEI (1995–2022). Reported award amounts total $41,142,314. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Health and Human Services, Department of Defense

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.