Project Grant R03OD039980

Award Date 6/10/25
Completion Date 5/31/26
Dollars Obligated $286K
Funding Federal Agency
Office of the Director
Federal Grant Program
93.310
Assistance Type
Project Grant
Place of Performance
Pennsylvania, USA
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The National Institutes of Health (NIH) Office of the Director has awarded Carnegie Mellon University a $286,326 Project Grant under the Trans-NIH Research Support program (CFDA 93.310) to develop new machine learning methods for integrative analysis of spatial transcriptome datasets from NIH Common Fund programs. The key products and services to be delivered under this award include:

  1. Creating a scalable, platform-agnostic framework using pre-trained single-cell RNA-seq foundation models to integrate diverse spatial transcriptome datasets.
  2. Developing a method to analyze spatial gene programs across multiple samples.
  3. Developing a transformer-inspired model to disentangle intrinsic cellular factors from intercellular interactions in spatial gene expression.
  4. Establishing a framework to identify transcription factors modulating spatial gene programs.

The goal of these efforts is to enhance the utility of existing NIH Common Fund spatial transcriptomics datasets and facilitate integration with other related programs, driving forward the understanding of spatial gene regulation and its role in health and disease. The award period runs from June 10, 2025 to May 31, 2026.

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