Project Grant 2217515
- The National Science Foundation (NSF) Biological Sciences (CFDA 47.074) Federal Grant Program awarded a $275,989 Project Grant to William Marsh Rice University in Houston, TX. The grant, with a project period from March 1, 2025 to February 28, 2030, aims to develop advanced tools to visualize, quantify, and correlate DNA dynamics, organization, and gene activity in human cells with unprecedented resolution. The project will apply innovative labeling strategies, 3D nanoscale imaging, and...
- The National Science Foundation (NSF) Biological Sciences Federal Grant Program (CFDA 47.074) awarded a $303,958 Project Grant to the University of Texas at Austin for a five-year period from August 2025 to July 2030. The grant will support the development of novel methods for deep-tissue optical imaging using inverse-scattering techniques to computationally decode light scattering in biological tissue. The project aims to extend optical imaging depths by an order of magnitude, enabling...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $277,308 to the University of Oklahoma (OU) to advance computational and statistical methods for studying single-cell genomics data in the context of tissue organization. The overarching goal is to develop novel spatial algorithms to identify gene expression patterns, gain new data-driven insights on tissue changes and...
- The National Science Foundation (NSF) awarded a $297,984 Project Grant under the Engineering program (CFDA 47.041) to the University of Texas Health Science Center at Houston (UTHealth). The grant supports collaborative research to quantify the mechanical forces inside living cells and determine how changes in these forces impact the production and secretion of proteins that shape the cellular environment. The goal is to develop predictive tools using mechanical forces to control cell...
- This federal Project Grant award in the amount of $449,625.00 was issued on September 15, 2025 by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859). The award supports the development of statistical methods to quantify heterogeneous cell-cell interaction patterns in spatial transcriptomics data across various human diseases, including pancreatic cancer, gastric cancer, and Alzheimer's disease. The key products...
- This Project Grant award from the National Institutes of Health (NIH) Office of Research Infrastructure Programs (CFDA 93.351) provides $1 to the University of Texas Health Science Center at San Antonio (UTHSCSA) to purchase a 10X Genomics Xenium Analyzer. The instrument will be housed in UTHSCSA's Genome Sequencing Facility and used by multiple research teams to conduct spatial transcriptomics and proteomics analysis on tissue specimens. This high-resolution spatial analysis platform will...
- The National Science Foundation Division of Molecular and Cellular Biosciences awarded a $757,389 Project Grant to the University of Texas at Austin to support research titled "Understanding Highly Heterogeneous Biological Membranes" from August 1, 2021 through July 31, 2024. This award will fund research into major problems confronting the nation through advancing the biological sciences, as outlined in the Biological Sciences program (CFDA 47.074). Specifically, the University of...
- The National Science Foundation Division of Molecular and Cellular Biosciences awarded a $488,204 Project Grant to the University of Texas at Austin under the Biological Sciences federal grant program (CFDA 47.074) with a completion date of June 30, 2025. The grant supports research using epitranscriptomics to study how chemically-induced changes in RNA molecules within biological cells in response to environmental stressors can be used to track and control stress responses. An interdisciplinary...
- This $229,461 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the development and analysis of novel self-supervised probabilistic graph structure learning models. The goal is to uncover latent representations hidden within large datasets, which can provide valuable insights across diverse applications like cancer research and environmental analysis. The research will involve creating advanced mathematical models,...
- This $357,385 federal Project Grant award was provided by the National Science Foundation (NSF) under the Biological Sciences program (CFDA 47.074) to the University of Texas at Arlington. The grant aims to uncover the mechanistic details of how the overlapping networks of RNA interference (RNAi) and chromatin modifying pathways maintain appropriate gene regulation during stress in the C. elegans germline model system. The project will employ interdisciplinary approaches including genetics,...
The University of Texas Health Science Center at Houston was awarded a three-year, $704,556 Project Grant from the National Science Foundation Division of Biological Infrastructure under the Biological Sciences federal grant program (CFDA 47.074). The grant will support the development of random field-based approaches to spatially analyze tissue architecture and heterogeneity using spatial transcriptomics and single-cell RNA sequencing data. Key products include a computational toolset called SPAT to study architectural heterogeneity, identify single gene spatial biomarkers, and explore cell-cell interactions. A hybrid model integrating variational graph autoencoders and hidden Markov models, termed CVAM, will characterize spatial relationships between spots and subclones and infer copy number variations from spatial data. Software prototypes and identified gene variants and biomarkers will be made available via the awardee's website. Graduate and undergraduate students will gain research experience working on the project. Outcomes from this award align with the NSF's mission to advance biological sciences and strengthen the national scientific enterprise.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $704.6k | 7/20/22 |