The SCORE Program is a developmental program designed to increase the research competitiveness of faculty and the research base at institutions with an explicitly stated historical mission and/or a demonstrated track record within the previous 10 years of training and graduating students from backgrounds underrepresented in biomedical research. Eligible institutions must award science degrees to undergraduate (B.S. or B.A.) and/or graduate students (M.S. or Ph.D.) and have received less than 6 million dollars per year of NIH R01 support (total costs) in each of the last 2 fiscal years.
The SCORE Program is a developmental program designed to increase the research competitiveness of faculty and the research base at institutions with an explicitly stated historical mission and/or a demonstrated track record within the previous 10 years of training and graduating students from backgrounds underrepresented in biomedical research. Eligible institutions must award science degrees to undergraduate (B.S. or B.A.) and/or graduate students (M.S. or Ph.D.) and have received less than 6 million dollars per year of NIH R01 support (total costs) in each of the last 2 fiscal years.
The main goal of this limited competition Funding Opportunity Announcement (FOA) is to continue the state-of the-art biobanking infrastructure and operations for early-stage and experimental clinical trials sponsored by the National Cancer Institute (NCI). The biobanking needs of the following NCI clinical trial programs will be supported: Experimental Therapeutics Clinical Trials Network (ETCTN), and Other NCI-supported early and experimental trials. Currently, this biobanking infrastructure supporting NCI early experimental clinical trials is part of a biobank serving primarily another NCI program, National Clinical Trials Network (NCTN). Through a separate U24 award under this FOA, the NCI aims to separate the existing ETCTN-serving biobanking infrastructure and operation from the current NCTN Biobank. This separated entity will be termed: Early-Phase and Experimental Clinical Trials Biospecimen Bank (also referred to as EET Biobank). Although the EET Biobank and the "parent" NCTN Biobank may be hosted in the same institution, they are expected to become independent operations with separate leaderships. EET Biobank will be responsible for collecting, processing, storing a variety of human specimens from patients with cancer who are participating in NCI-funded ETCTN and other NCI-supported early and experimental clinical trials. The responsibilities of EET Bank will also include maintenance of up-to-date specimen inventory and specimen distribution to qualified NCI-approved trial investigators and research laboratories.
The purpose of this Funding Opportunity Announcement (FOA) is to support hypothesis-generating research in transgender people with the objective of characterizing the biological and immunological impact of the interventions (hormones, drugs and surgical) used for gender reassignment and their impact on susceptibility to HIV and other sexually transmitted infections (STI).
This Funding Opportunity Announcement (FOA) will support, through the cooperative agreement mechanism, investigator-initiated observational studies or biomarker validation studies that require prospective collection of data/biospecimens or continued analysis of data/biospecimens collected as part of a previous NIDCR award.
The purpose of this FOA is to solicit applications for research projects to generate reference datasets and to create navigable maps for the study of the spatial and temporal organization of the nucleus, using genomic and imaging data as well as newly developed visualization and integrative analysis tools.
This Funding Opportunity Announcement (FOA) encourages research projects that focus on innovative research in the isolation and characterization of extracellular vesicles (EVs) and their cargo for discovery of predictive biomarkers for risk assessment, detection, diagnosis and prognosis of early cancer. This FOA will promote rigor and reproducibility research in both the isolation of EVs as well as the computational analysis of the cargo carried in these vesicles.
The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The over-arching goal of this NIH Blueprint R25 program is to encourage individuals from diverse backgrounds, including those from groups underrepresented in the biomedical, behavioral, and clinical research workforce, to pursue further studies or careers in research. To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on Courses for Skills Development, Research Experiences, and Mentoring Activities. The fully integrated educational activities should prepare undergraduate students from diverse backgrounds, including those from groups underrepresented in biomedical and behavioral sciences to enter Ph.D. degree programs in the neurosciences. To accomplish this goal, this initiative will provide institutional awards to develop neuroscience research education programs comprised of collaborative partnerships integrated across different educational institution types.
To support the development and application of tools that would enable the monitoring in real-time of the dynamic three-dimensional structure of mammalian genomes and provide insight into how organizing components of 4D genome architecture affect biological processes in live cells.
This Funding Opportunity Announcement (FOA) solicits grant applications proposing exploratory research projects focused on the early-stage development of highly innovative technologies that improve the quality of the samples used for cancer research or clinical care. This includes new capabilities to address issues related to pre-analytical degradation of targeted analytes during the collection, processing, handling, and/or storage of cancer-relevant biospecimens. The overall goal is to support the development of highly innovative technologies capable of maximizing or otherwise interrogating the quality and utility of biological samples used for downstream analyses. This FOA will support the development of tools, devices, instrumentation, and associated methods to preserve or protect sample integrity, or establish verification criteria for quality assessment/quality control and handling under diverse conditions. These technologies are expected to accelerate and/or enhance research in cancer biology, early detection and screening, clinical diagnosis, treatment, epidemiology, or address issues associated with cancer health disparities, by reducing pre-analytical variations that affect biospecimen sample quality. This funding opportunity is part of a broader NCI-sponsored Innovative Molecular Analysis Technologies (IMAT) Program.
This Funding Opportunity Announcement (FOA) invites Small Business Innovation Research (SBIR) grant applications for funding to perform research leading to the development of novel and supportive technologies for the improvement of cell replacement interventions using novel methods, biomaterials and devices for type 1 diabetes (T1D) treatment.
The vision for the Human BioMolecular Atlas Program (HuBMAP) is to catalyze development of a framework for mapping of the human body at high resolution to transform our understanding of tissue organization and function. This will be achieved by:
Accelerating the development of the next generation of tools and techniques for constructing high resolution spatial tissue maps that quantify multiple types of biomolecules either sequentially or simultaneously;
Generating foundational 3D tissue maps using validated high-content, high-throughput imaging and omics assays;
Establishing an open data platform that will develop novel approaches to integrating, visualizing and modelling imaging and omics data to build multi-dimensional maps, and making data rapidly findable, accessible, interoperable, and reusable by the global research community;
Coordinating and collaborating with other funding agencies, programs, and the biomedical research community to build the framework and tools for mapping the human body;
Supporting pilot projects that demonstrate the value of the resources developed by the program to study individual variation and tissue changes across the lifespan and the health-disease continuum.
This program is funded through the NIH Common Fund as a short-term, goal-driven strategic investment, with deliverables intended to catalyze research across multiple biomedical research disciplines. The NIH Common Fund supports cross-cutting programs that are expected to have exceptionally high impact. All Common Fund initiatives invite investigators to develop bold, innovative, and often risky approaches to address problems that may seem intractable or to seize new opportunities that offer the potential for rapid progress.
This Funding Opportunity Announcement (FOA) solicits grant applications proposing exploratory research projects focused on further development and validation of emerging technologies that improve the quality of the samples used for cancer research or clinical care. This includes the ability to address issues related to pre-analytical degradation of targeted analytes during the collection, processing, handling, and/or storage of cancer-relevant biospecimens. The overall goal is to support the development of highly innovative technologies capable of maximizing or otherwise interrogating the quality and utility of biological samples used for downstream analyses.
FOA Emphasis. The FOA utilizes the R33 mechanism which is suitable for projects where proof-of-principle of the proposed technology or methodology has been demonstrated and supportive preliminary data are available. Proposed projects should offer new tools, devices, instrumentation, and associated methods to preserve or protect sample integrity, or establish verification criteria for quality assessment/quality control and handling under diverse conditions. These technologies are expected to accelerate and/or enhance research in cancer biology, early detection, and screening, clinical diagnosis, treatment, epidemiology, or address issues associated with cancer health disparities, by reducing pre-analytical variations that affect biospecimen sample quality.
This Funding Opportunity Announcement (FOA) solicits grant applications proposing exploratory research projects focused on further development and validation of emerging technologies offering novel capabilities for targeting, probing, or assessing molecular and cellular features of cancer biology for basic or clinical cancer research. Well-suited applications must offer the potential to accelerate and/or enhance research in the areas of cancer biology, early detection and screening, clinical diagnosis, treatment, control, epidemiology, and/or address issues associated with cancer health disparities. Technologies proposed for development may be intended to have widespread applicability but must be focused on improving molecular and/or cellular characterizations of cancer.
FOA Emphasis. This FOA utilizes the R33 mechanism and is suitable for projects, which have overcome major feasibility gaps for the technology or methodology as demonstrated with supportive preliminary data but still require further development and rigorous validation to encourage adoption by the research community. Proposed projects should offer the potential to produce a molecular or cellular analysis capability with a major impact in a broad area of cancer-relevant research.
This Funding Opportunity Announcement (FOA) solicits grant applications proposing exploratory research projects focused on early-stage development of highly innovative technologies that improve the quality of the samples used for cancer research or clinical care. This includes new capabilities to address issues related to pre-analytical degradation of targeted analytes during the collection, processing, handling, and/or storage of cancer-relevant biospecimens. The emphasis of this FOA is to support the development of highly innovative technologies capable of maximizing or otherwise interrogating the quality and utility of biological samples used for downstream analyses. This FOA will support the development of tools, devices, instrumentation, and associated methods to preserve or protect sample integrity, or establish verification criteria for quality assessment/quality control and handling under diverse conditions. These technologies are expected to accelerate and/or enhance research in cancer biology, early detection, screening, clinical diagnosis, treatment, epidemiology, or address issues in cancer health disparities, by reducing pre-analytical variations that affect biospecimen sample quality.
The NIH Research Education Program (R25) supports research educational activities that complement other formal training programs in the mission areas of the NIH Institutes and Centers. The over-arching goals of the NIH R25 program are to: (1) complement and/or enhance the training of a workforce to meet the nation's biomedical, behavioral and clinical research needs; (2) encourage individuals from diverse backgrounds, including those from groups underrepresented in the biomedical and behavioral sciences, to pursue further studies or careers in research; (3) help recruit individuals with specific specialty or disciplinary backgrounds to research careers in biomedical, behavioral and clinical sciences; and (4) foster a better understanding of biomedical, behavioral and clinical research and its implications.
The over-arching goal of this R25 program is to support educational activities that encourage individuals from diverse backgrounds, including those from groups underrepresented in the biomedical and behavioral sciences, to pursue further studies or careers in research.
To accomplish the stated overarching goal, this FOA will support creative educational activities with a primary focus on:
Research Experiences: For example, to provide hands-on exposure to research, to prepare participants for graduate school admissions, successful completion of a research-focused doctoral degree, and careers in the biomedical research workforce.
Courses for Skills Development: For example, to provide advanced courses in a specific discipline, research technique or research area, and/or courses or workshops to develop scholarly potential to prepare participants for graduate school admissions, successful completion of a research-focused doctoral degree, and careers in the biomedical research workforce
Genome-wide association studies (GWAS) identify statistical relationships between common single nucleotide variants (SNVs) across the genome and a trait of interest. Due to the correlated nature of nearby SNVs (i.e., linkage disequilibrium), GWAS implicate regions of the genome (loci) and do not necessarily pinpoint the causal variant(s), gene(s), isoform(s) or proximate molecular mechanism(s) underlying the trait association. Greater than 90% of genome-wide significant variants associated with traits fall within non-coding regions of the genome. A minority of these variants will be the actual causal variants and a majority will not affect the nearest genes. Moreover, functional annotation of the non-coding genome is still incomplete; the target genes of many genomic regulatory elements such as enhancers remain unknown. This presents a major challenge to mapping variants onto genes and genes onto traits. Thus, an immediate barrier to translating genetic associations into causal disease mechanisms is the uncertain relationship between statistically identified genetic variants and the resultant molecular changes influencing, directly or indirectly, a trait.
This Funding Opportunity Announcement (FOA) invites applications for a CHR Data Processing, Analysis and Coordination Center (DPACC) to support and extend the work of the proposed Clinical High Risk for Psychosis Research Network to be funded under RFA-MH-20-340 . The DPACC will provide oversight and coordination of two parallel lines of inquiry: 1) The aggregation of extant CHR-related data sets and subsequent secondary analyses for refinement of multi-modal biomarkers and development of biomarker algorithms that predict individual clinical trajectory and outcomes and 2) The management, direction, and overall coordination, including data processing and analysis, for a new multi-site network(s) focused on dissecting the heterogeneity of the CHR syndrome. Toward achieving the first goal, the DPACC - in conjunction with NIMH and external working groups - will identify appropriate extant CHR data sets, aggregate and harmonize the data through development of a standardized processing and analysis pipeline for each data type, upload the data to the NIMH Data Archive (NDA), use computational techniques to identify and validate biomarker algorithms and/or risk calculators that predict the clinical trajectories and outcomes for individual patients, and establish a curated public data set that will serve as a resource for the research community.
The purpose of this Funding Opportunity Announcement (FOA) is to establish state-of-the-art Tissue Mapping Centers (TMCs) that will generate high-resolution, high-content, multiscale maps of non-diseased human organs and systems. Centers will be expected to integrate and optimize all parts of the data generation pipeline, from tissue collection and preservation through to data integration, analysis and interpretation. Centers will also be expected to work closely with the other funded projects as part of the Human BioMolecular Atlas Program to catalyze development of a framework for mapping the human body at high resolution.
The purpose of this Funding Opportunity Announcement (FOA) is to solicit transformative technologies that will significantly expand throughput, multiplexing and discrimination of biomolecules in human tissues for comprehensive mapping of individual cells and their context in human tissues. This FOA supports the accelerated proof-of-principle demonstration and validation of promising tools, techniques and systems that can be integrated, scaled and applied to multiple human tissues. The initial two-year UG3 phase will support accelerated development and demonstration of feasibility of these emerging, high impact technologies. The subsequent two-year UH3 phase will support validation in human tissues, optimization, scale-up, and generation of data. Funded projects will be expected to work closely as part of the Human BioMolecular Atlas Program to catalyze development of a framework for mapping the human body with high resolution.
