External Funding Opportunities

NIH R03 – Pilot Projects Enhancing Utility and Usage of Common Fund Data Sets

Application Deadline: February 18, 2022
Award: up to $200K direct costs for 1 year
RFA-RM-22-007 Guidelines: Click here to read the full Funding Opportunity

Purpose: The goals of this funding opportunity announcement are to 1) promote the use of Common Fund data sets by supporting pilot studies based on analyses across two or more Common Fund data sets; 2) enhance the utility of existing Common Fund data sets by developing workflows, analytic and simulation tools which will enable simultaneous analysis of multiple Common Fund data sets; and 3) demonstrate the added-value of integrating multiple Common Fund data resources in addressing biomedical research questions.

Investigators are encouraged to utilize various approaches including, but not limited to, systems approaches, advanced data science methods for data set integration and harmonization, and incorporating computational modeling to bring together high throughput genotype and phenotype data sets. Applicants must propose to use two or more data sets from the following list, although they can propose to use other data sets (both NIH Common Fund data sets and other NIH data sets) as well. Integration across multiple data sets is required

4D Nucleome (4DN): Reference nucleomics and imaging data sets, including an expanding tool set for open data processing and visualization

Extracellular RNA Communication (exRNA): Catalog of exRNA molecules found in human biofluids like plasma, saliva, and urine; and potential exRNA biomarkers for diseases

Gabriella First Kids First (KF): Data from whole-genome sequencing of cohorts with structural birth defects and/or susceptibility to childhood cancer, with associated phenotypic and clinical data

Genotype-Tissue Expression (GTEx): Whole genome- and RNA sequence data from multiple human tissues to study tissue-specific gene expression and regulation, including tissue samples

Glycoscience (GL): A data integration and dissemination project for carbohydrate and glycoconjugate related data

Human BioMolecular Atlas Program (HuBMAP): An open and global platform to map healthy cells in the human body to determine how the relationships between cells can affect the health of an individual

Illuminating the Druggable Genome (IDG): Data on understudied druggable proteins, including mRNA and protein expression data, phenotype associations, bioactivity data, drug target interactions, disease links, and functional information

Integrated Human Microbiome Project (iHMP): Microbiome, epigenomic, metabolomic, and phenotypic data for 3 cohorts

Knockout Mouse Phenotyping Program (KOMP2): Data from broad, standardized phenotyping of a genome-wide collection of mouse knockouts

Library of Integrated Network-based Cellular Signatures (LINCS): Molecular signatures that describe how different types of cells respond to a variety of agents that disrupt normal cellular function

Metabolomics Workbench: Metabolomics data and metadata from studies on cells, tissues, and organisms

Molecular Transducers of Physical Activity in Humans (MoTrPAC): Data contain assay-specific results, associated metadata, quality control reports, and animal phenotype data related to molecular transducers that underlie the effects of physical activity

Stimulating Peripheral Activity to Relieve Conditions (SPARC): Maps and tools to identify and influence therapeutic targets that exist within the neural circuitry of a wide range of organs and tissues
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NIH R01 -Identification and Characterization of Bioactive Microbial Metabolites for Advancing Research on Microbe-Diet-Host Interactions (Clinical Trial Not Allowed)

Letter of Intent Deadline:  May 10, 2022 & more
Application Deadline:  June 22, 2022 & more

Purpose: To invite applications to identify and characterize microbial metabolites that will establish causal associations between microbial metabolism and host health and disease. Data acquired through this initiative will be used to create a knowledgebase of microbial metabolites and associated functions that will be provided to the research community. Development of the database and knowledge portal for these awards will be supported under a separate initiative: RFA-DK-21-014, Identification and Characterization of Bioactive Microbial Metabolites for Advancing Research on Microbe-Diet-Host Interactions Knowledgebase Management Center (Clinical Trial Not Allowed).
Guidelines: Click here for the Funding Opportunity Link
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