This three-year, $275,000 National Science Foundation Division of Chemistry Project Grant will support research into deciphering RNA-based regulatory logic using interpretable machine learning approaches. The awardee, Cornell University, will collaborate with researchers to design and deploy interpretable neural networks trained on massively parallel reporter assays. This will provide insights into splicing codes that determine exon skipping and the role of 5'UTR sequences in translation...
This National Science Foundation (NSF) Project Grant award under the Biological Sciences program (CFDA 47.074) provides $522,131.00 to New York University (NYU) from August 1, 2023 to July 31, 2026. The funded research aims to understand the relationship between RNA sequence features and splicing outcomes, as well as the role that nuclear speckles play in RNA splicing decisions. The project will leverage high-throughput assays and interpretable machine learning to identify sequence-encoded...
The National Science Foundation (NSF) awarded a $1,199,997 Project Grant under its Biological Sciences program (CFDA 47.074) to the University of Colorado-Denver. The grant will fund research to improve understanding of the mechanisms underlying messenger RNA (mRNA) localization and translation, and develop machine learning models to better predict protein production from mRNA. The project will apply recent advancements in RNA sequencing technology to study how factors like tRNA abundance and...
This Project Grant award from the National Science Foundation (NSF) Division of Molecular and Cellular Biosciences under the agency's Biological Sciences program (CFDA 47.074) provides $680,000 from August 1, 2023 to July 31, 2026 to the University of Chicago. The project aims to understand the sequences in pre-mRNA that determine which exons are removed during RNA splicing, a critical process in eukaryotic cells for generating mature messenger RNAs. The research will use high-throughput...
This $1,042,995 National Science Foundation project grant, awarded on March 15, 2023 under the Biological Sciences (47.074) program, funds research at Oregon State University and Mount Holyoke College to discover novel functional RNA classes through computational integration of massively parallel RNA-binding protein binding and structure data. The grantees will develop new experimental and computational methods to systematically identify unknown non-coding RNA classes by combining known and...
This Project Grant from the National Science Foundation Division of Emerging Frontiers, under the Biological Sciences federal grant program (CFDA 47.074), provides $932,563 to support research into the discovery of novel functional RNA classes through computational integration of massively parallel RNA-binding protein binding and structure data. The President and Fellows of Harvard College will utilize highly multiplexed approaches to generate transcriptome-wide measurements of hundreds of...
This $299,779 National Science Foundation project grant under the Biological Sciences program (CFDA 47.074) funds research at Louisiana State University from August 2022 to July 2024 to design an RNA-based dual regulator for repetitive gene expression regulation. The research integrates biological experiments and computational studies to train scientists and engineers in interdisciplinary research. It also aims to cultivate a multidisciplinary perspective for problem-solving. Specifically, the...
This National Science Foundation (NSF) Project Grant, awarded under the Biological Sciences program (CFDA 47.074), provides $750,000 to Stanford University to develop new technologies for studying RNA, the essential molecules that carry genetic information and play crucial roles in cell functions. The key products and services to be delivered under this 3-year award include: Creating non-destructive methods to directly study RNA localization and interactions within living cells, achieving...
This $1,555,035 Project Grant from the National Science Foundation Division of Molecular and Cellular Biosciences will fund research into the discovery of novel functional RNA classes through computational integration of massively-parallel RBP binding and structure data. The award was made under the Biological Sciences federal grant program (CFDA 47.074) to support basic biological research strengthening the nation's scientific enterprise. The California Institute of Technology will use the...
This $750,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of a novel platform to enable rapid and robust identification of functional RNA molecules directly within mammalian cellular environments. The research aims to solve the challenge of RNA structure sensitivity to local environments that has hindered progress in the field of functional RNA discovery. The project will deliver a customized...
This $324,118 National Science Foundation project grant supports research to decipher RNA-based regulatory logic through interpretable machine learning models. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the three-year award to New York University will develop and apply interpretable neural networks to massive parallel reporter assay datasets. Specifically, the models aim to elucidate the splicing code that determines exon skipping and the 5'UTR code regulating translation initiation and RNA stability. By incorporating experimental RNA binding protein data and other sequence features, the researchers intend to capture non-additive effects and secondary structure influences. Outcomes include comprehensive insights into splicing and 5'UTR regulatory mechanisms with direct implications for rational RNA transcript design in biotechnology. The award reflects NSF's support of basic research advancing the scientific enterprise.