Project Grant R00HG012797

Award Date 9/2/24
Completion Date 6/30/27
Dollars Obligated $501K
Federal Grant Program
93.172
Assistance Type
Project Grant
Place of Performance
Texas, USA
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This Project Grant award from the National Human Genome Research Institute (CFDA 93.172 - Human Genome Research) provides $361,069 to The Johns Hopkins University to develop new analytical methods and software tools for unsupervised analysis of multi-sample single cell genomic data. The project aims to address three key challenges: inferring temporal progression of sample phenotype from cross-sectional data, integrating data across samples and modalities, and enabling comparative analysis of...
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The National Human Genome Research Institute (NHGRI) awarded a $259,446 Project Grant under the Human Genome Research program (CFDA 93.172) to the University of Washington for a 2-year research project. The project aims to develop semi-supervised machine learning integration tools that can predict undercharacterized single-cell genomic and proteomic profiles, such as chromatin accessibility, spatial locations, and proteomics, from known measurements like gene expression. Key objectives include...
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The federal Project Grant award number R00HG012797, totaling $501,191.23, was provided by the National Human Genome Research Institute (NHGRI) under the Human Genome Research program (CFDA 93.172). The award supports research to develop novel computational methods and integrative models for analyzing single-cell 3D genomics and epigenomic data. Key goals include:

  1. Creating a single-cell gene-body associating domain (scGAD) scoring system to explore 3D chromatin architecture in the context of individual genes.
  2. Constructing machine learning models to impute histone modifications and 3D chromatin interactions, enabling comprehensive profiling of each cell's epigenomic features and 3D chromatin structures.
  3. Developing an epigenomic regulatory score (ERS) model to infer cell-type-specific promoter-enhancer regulation programs at single-cell and single-gene resolution.

The research will validate and extend these computational approaches using single-cell data from CAR-T cell immunotherapy studies to gain insights into the impact of distal gene regulation on patient responses. The award period runs from September 2024 to June 2027 and is being performed by The University of Texas MD Anderson Cancer Center.

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