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Morphological reprogramming of the endoplasmic reticulum by cellular mucins

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NIGMS - National Institute of General Medical Sciences

Project Summary/Abstract The endoplasmic reticulum (ER) is an interconnected membrane compartment that is comprised of distinct functional morphologies, including tubules and sheets. How the cell reprograms the ER morphology to support different functionalities in normal and disease states is not fully resolved. Recently, we have uncovered that transmembrane mucin biopolymers can generate membrane curvature and that some prominent mucins, such as Muc1, have prolonged ER residency. In this project, we will test the central hypothesis that transmembrane mucins act as membrane curvature generators on the luminal face of the ER to regulate the ER morphology, function, and interactions with other organelles. Implicit in this hypothesis is the new notion that changes in cellular mucin expression could dynamically reprogram the functional morphology of the ER. Our aims are to (1) determine how transmembrane mucins generate forces in the ER to regulate the ER structure and function, (2) identify the molecular determinants that govern the accumulation of transmembrane mucins in the ER, and (3) investigate the downstream consequences of the mucin-reprogrammed ER on mitochondria and other cellular organelles that interact with the ER. To complete our aims, we will leverage our unique expertise in engineering the molecular structure of mucins and controlling their genetic expression. We will combine this expertise with state-of-the-art imaging approaches that include expansion microscopy (ExM) for resolution of the ER morphology, spectral imaging for dissection of organelle interactions, and optical reporters for quantitative analysis of protein trafficking through the secretory system. New optical biosensors will directly measure the entropic forces that are hypothesized to underlie membrane curvature generation by mucins. These tools will be used in parallel with traditional approaches within the field of cell biology for assessment of organelle structure/function. Theoretical models on mucin force generation will be used to support the analysis and interpretation of our results. The expression of Muc1 and other transmembrane mucins can change dramatically with changes in cell fate, oncogenic transformation, inflammation, and conditions of stress. For instance, professional secretory cells and most carcinoma cells express high levels of Muc1. Our project aims to mechanistically dissect a heretofore unrecognized role for mucins in physically shaping the ER structure and its interactions with other cellular organelles. Given the ubiquity of transmembrane mucin expression in normal secretory cells and cancer, the fundamental understanding that we seek is of broad significance to human health.

Up to $1.6M
2030-07-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Multi-Modal, Multi-Depth, High Resolution Micro-Endoscope (M3D-HRME) for early cancer diagnostics

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NIBIB - National Institute of Biomedical Imaging and Bioengineering

Multi-Modal, Multi-Depth, High Resolution Micro-Endoscope (M3D-HRME) for early cancer diagnostics Work pursued within this proposal will carry out feasibility studies to develop a new class of optical micro-endoscopic devices for early stage, cancer detection. The proposed solution will combine advances in state-of the art fabrication technologies to manufacture integrated miniature multi-lens objectives that will be combined with High Resolution Micro-Endoscope (HRME) for an efficient Multi-Modal, Multi-Depth cancer diagnostic imaging (called M3D- HRME). A set of mini-objectives will be integrated along the waveguide structures (fabricated in same process) imaging system, and enabled by 2-Photon Polymerization based additive manufacturing. The multi-lens unit will be printed directly on the top of the polished imaging fiber bundles. Its outer form will conform to the fiber bundle dimensions. The mini objectives included in the unit will provide different resolutions and/or imaging depths. The probe will be capable of front imaging as well as side viewing –internal wall of luminal structures like the cervical os for example. M3D-HRME will be used by moving it in contact across the tissue and real time mosaicked to provide complementary imaging sets – morphology (outer tissue layer) and microvasculature (70-140 microns below the top tissue layer). Note that there is clinical evidence that angiogenesis patterns change with dysplasia along with the changes in nuclear morphology. To accomplish project goals we will develop prototypes of multi-unit refractive rod-like objectives. M3D-HRME will provide 2-micron resolution (fluorescence - morphology) working along objective pairs to image 70-140 microns depths with 15-20 microns resolution (in dark field mode - microvasculature). The refractive changes to produce the multi-lens objectives will be obtained by modulating the laser power during 2-photon polymerization. In addition we will test system imaging metrics using in target and tissue imaging experiments. For example, we will evaluate imaging performance in normal volunteers imaging epithelial layer in oral cavity as well as in-vitro cervical tissue samples. Both front and side view imaging will be performed to assess system in both modes for future cervical cancer applications.

Up to $183K
2028-07-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Multi-Modality Modeling of Glioblastoma Progression: Integrating DTI and Prognostic Biomarkers for Personalized Radiation Therapy Targeting

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NCI - National Cancer Institute

Project Abstract Glioblastoma outcomes have not improved substantially over the past decades, with median survival remaining at 12-15 months despite aggressive therapy. A major limitation in the current radiotherapy (RT) planning is it defines clinical target volumes (CTVs) using uniform geometric expansions around MRI-visible tumor boundaries. This conventional approach fails to capture GBM’s diffuse infiltrative spread and ignores patient-specific tumor biology. As a result, microscopic disease often extends beyond the treated field while normal brain is unnecessarily irradiated, leading to universal recurrences and treatment-induced toxicity. Although diffusion tensor imaging (DTI) can visualize white matter tracts, current tractography does not distinguish between tract pathways that facilitate tumor cell migration and those that are anatomically present but rarely involved in tumor spread. Additionally, molecular biomarkers such as MGMT methylation and TERT promoter mutations reflect distinct tumor progression patterns, yet these factors are not incorporated into RT target delineation. This project investigates DTI-based infiltrative risk mapping integrated with molecular biomarkers to improve glioblastoma progression prediction and RT CTV definition using a dataset of over 500 patients with pre-operative DTI, anatomical MRI, and molecular biomarker data. We will develop White Matter Infiltrative Risk maps by identifying population-level infiltration patterns across major white matter tracts and combining these with patient-specific fiber density maps. The infiltrative risk maps will be integrated with anatomical MRI, MGMT methylation and TERT promoter mutation status through a transformer-based deep learning framework with cross-attention mechanisms. Validation will be conducted via spatial accuracy assessment against ground truth progression, comparison with standard RT targets, and histopathological correlation using tissue samples with matched imaging coordinates from 298 patients. This fusion of advanced DTI mapping and genomics with state-of-the-art Artificial Intelligence modeling will produce voxel-level risk maps that reveal otherwise occult tumor infiltration pathways and can be directly incorporated into RT planning. This work will provide proof-of-concept for integrating infiltration pathways and biological factors into RT target definition and establish the foundation for future clinical trials testing personalized radiation therapy strategies. The goal is to transition from geometric margins to biology-guided targeting that improves GBM control while preserving healthy brain tissue.

Up to $414K
2028-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Multimethod Detection of Micro- and Nanoplastics in Multiple Brain Regions: Associations with Alzheimer’s Disease and Environmental Exposure Risk

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NIEHS - National Institute of Environmental Health Sciences

Summary Objective: This study aims to determine whether micro- and nanoplastics (MNPs) accumulate in the human brain, evaluate their relationship with Alzheimer’s disease (AD) pathology, and explore whether environmental disadvantage, measured by the Area Deprivation Index (ADI), is related to variation in cerebral MNP burden. Rationale: MNPs are widespread environmental pollutants with emerging evidence of human tissue accumulation and potential neurotoxicity. Preliminary data show detectable MNPs in the brains of individuals with AD and progressive supranuclear palsy. Social disadvantage may increase exposure to environmental risks, potentially elevating MNP burden and susceptibility to neurodegeneration. Aims: 1. Quantify MNPs in the olfactory bulb (OB) and middle temporal gyrus (MTG) of 140 postmortem human brains (70 with AD pathology, 70 without AD pathology) using five complementary detection methods. 2. Assess associations between cerebral MNP burden and AD pathology, adjusting for age, sex, APOE genotype, postmortem interval (PMI), and other covariates. 3. (Exploratory) Examine the relationship between ADI and cerebral MNP burden, investigating whether MNP burden varies by level of socioeconomic disadvantage. Innovation: This study employs state-of-the-art environmental toxicology methods rarely applied to human brain tissue, integrated with high-resolution neuropathology and life-course social determinants data. It represents the largest and most methodologically rigorous study of cerebral MNPs to date, and the first to directly examine their links to AD and environmental disadvantage. Significance: Findings could identify a novel, modifiable environmental contributor to AD, inform targeted public health interventions, and advance our understanding of how plastic pollution and social disadvantage may shape brain disease. Impact: By bridging environmental science, neuropathology, and social epidemiology, this study could redefine how we think about environmental risks in neurodegeneration. Demonstrating a link between MNP accumulation, AD pathology, and social disadvantage would establish a new line of inquiry with major implications for public health, regulation, and disease prevention.

Up to $431K
2028-05-14
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Multimodal AI for Monitoring and Predicting Neurocognitive Impairment in People with HIV

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NIMH - National Institute of Mental Health

Abstract/Summary Advances in antiretroviral therapy (ART) have reduced the incidence of severe clinical neurocognitive complications associated with chronic HIV infection, such as HIV-associated dementia (HAD). Nevertheless, nearly half of people with HIV (PWH) still experience asymptomatic neurocognitive disorder (ANI) and mild neurocognitive disorder (MND). Opportunities for using novel, data-driven approaches, such as Artificial Intelligence (AI) in making predictions, real-time monitoring, or improving clinical decision-making to address HIV-related neurocognitive disorders (HAND) proliferate but have yet been fully realized. Recent studies have employed machine learning (ML) and/or deep learning (DL) techniques to either cluster neurocognitive phenotypes or identify key predictors of neurocognitive impairment in PWH. Data from these studies, however, are typically “siloed” and unimodal (e.g., only electronic health records [EHR] data or imaging data). Given the broad spectrum of modalities of neurocognitive disorder, multimodal approach (i.e., integration of different data modalities) provides opportunities to increase robustness and accuracy of diagnostic and prognostic models by utilizing complementary and supplementary information in modalities. However, such multimodal approach is limited often due to the lack of multimodal data and advanced methodologies such as multimodal AI. One novel and ambitious initiative funded by the NIH to advance precision medicine is the All of Us (AoU) Research Program, a centralized data repository, offering secure access to de-identified multimodal data (e.g., EHR data, genomic data, survey data, and imaging data) from almost one million program participants. In our preliminary study, we have developed a computational phenotyping that identified 6,664 confirmed PWH among 633,000+ participants as of October 2023. In response to RFA-MH- 26-105, we propose to apply multimodal AI with a series of longitudinal EHR data (laboratory and medication), genomic data, self-reported survey data (e.g., lifestyle, physical measurement, healthcare access), and imaging data in AoU to 1) identify different biotypes of neurocognitive disorders in PWH (e.g., ANI, MND, HAND) and employ ML/DL approaches to cluster neurocognitive phenotypes; 2) develop, evaluate, and validate multimodal AI models to predict neurocognitive disorders in PWH accounting for comprehensive information and enhance the model interpretability through synergistic integration of a domain-specific knowledge graph; and 3) develop a multimodal AI based decision-making prototype to assist with the identification of PWH with risk of neurocognitive disorders and pilot test its feasibility, usability, and implementation strategies in clinical settings. Personalized risk prediction through multimodal AI could improve the predictive accuracy and early detection of neurocognitive decline in PWH and inform tailored intervention and treatment for PWH. The insights gleaned from our project could also be a demonstration of the power of cutting-edge multimodal AI models to expand our capacity to accelerate HIV care and address the dynamic, complex, and evolving HIV epidemic.

Up to $1.0M
2031-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Multimode High-Throughput Screening Microplate Reader

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OD - NIH Office of the Director

Project Summary/Abstract The Center for Chemical Genomics (CCG) at the Life Sciences Institute (LSI) serves as the high throughput screening core facility, available to all faculty at the University of Michigan (U-M) and seeks funding to support the purchase of a new microplate reader, the PHERAstar FSX. The current instruments, a 17-year- old Perkin Elmer EnVision 2104 and a 21-year-old PHERAstar, have each reached the end of their operational lifespan and manufacturer support is being terminated. Given that these microplate readers are used to support approximately 90% of the screening experiments that the CCG performs, they are critical to the continuation of CCG services, and failure to obtain a replacement option for these aging machines will dramatically impact the early phase drug discovery program at U-M. The PHERAstar FSX is the ideal replacement due to its state-of-the-art capabilities, enabling the CCG to conduct a comprehensive array of experiments as requested by U-M faculty, as well as researchers external to U-M. The CCG is a critical component of both basic research and the early-phase drug discovery pipeline at U-M. It conducts approximately 20 high-throughput screening (HTS) campaigns, as well as supporting ~3-5 Structural-Activity Relationship (SAR) campaigns, annually. Despite advances in computational approaches, HTS of large chemical libraries, consisting of over 100,000 samples, remains the most commonly employed method for identifying novel compounds that modulate the activity of a target protein. This “unbiased” screening approach is used to identify active molecules that can be optimized for use as in vitro or in vivo research tools, and/or as potential drug leads. The vast majority of HTS assays are designed to utilize some form of fluorescence or luminescence as the final readout, as this approach can yield HTS assays that are both robust and cost-effective. The CCG’s microplate readers are essential for conducting these HTS assays. The CCG supports NIH projects for U-M researchers and external collaborators across an incredible breadth of research fields, including research on cancer, cardiomyopathy, nicotine and opioid addiction, and drug metabolism. The university is a national leader in academic drug discovery, demonstrated by its 15 drugs in current clinical development. The initial identification of candidate drugs is a vital part of this pipeline and aligns with the mission of the NIH and U-M’s overarching goal of improving public health. Replacing the dated microplate readers in the CCG with the PHERAstar FSX will ensure the continuation of CCG support for groundbreaking drug discovery research at the University of Michigan.

Up to $155K
2027-05-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Multiomics analysis of benzodiazepine-mediated epigenetic reprogramming in HIV-1 infected hMDMs

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NIDA - National Institute on Drug Abuse

Despite the success of antiretroviral therapy (ART), HIV remains incurable due to the persistence of viral reservoirs, particularly in the central nervous system (CNS). Myeloid cells—macrophages and microglia— serve as long-lived HIV reservoirs in the CNS and are implicated in neuroinflammation and HIV-associated neurocognitive disorders (HAND). Unlike CD4+ T cells, infected myeloid cells exhibit a state we define as semi‗quiescence, in which transcription from the HIV-1 promoter persists, but viral protein production is minimal. This persistent yet attenuated activity complicates efforts to eradicate the virus from the CNS. Our preliminary data show that ART-treated human monocyte-derived macrophages (hMDMs) maintain stable proviral levels over time, with reduced p24 Gag protein expression but active transcription. Chromatin immunoprecipitation (ChIP-qPCR) analysis of these cells revealed euchromatin markers at the viral LTR, consistent with transcriptionally active but translationally restricted infection. Strikingly, treatment with benzodiazepines (BDZs)—commonly prescribed to people living with HIV—reactivates viral protein production in these cells, suggesting they may act as latency reversal agents (LRAs) in the CNS. BDZs appear to target RUNX1, a transcription factor that interacts with the HIV-1 LTR, and may disrupt epigenetic control of viral persistence. We hypothesize that HIV-infected myeloid cells adopt a unique global epigenetic signature early in infection, orchestrated in part by RUNX1 and HIV Tat, which modulates effector function and maintains semi-quiescence. BDZs may override this regulation, reactivating latent virus and worsening neuroinflammatory outcomes. We aim to: 1) define the global epigenetic landscape of HIV-infected hMDMs under ART and characterize how RUNX1 and Tat occupancy correlates with gene expression and viral activity and 2) determine how BDZ exposure alters the global epigenetic state of infected and uninfected hMDMs, testing the hypothesis that BDZs promote viral reactivation via a euchromatic shift. This research will uncover new mechanisms of HIV persistence in myeloid reservoirs and inform safer therapeutic strategies for PLWH, especially those at risk for HAND.

Up to $54K
2028-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Multiplexed Optical Sensors for Redox Profiling in Human iPSC Models of Disease and Drug Response

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NIGMS - National Institute of General Medical Sciences

ABSTRACT / SUMMARY Reactive oxygen species (ROS) and regulation of redox pathways are critical to human health and disease, as they influence cellular metabolism, signaling, and stress responses. Disruptions in redox homeostasis contribute to the pathophysiology of numerous disorders, including neurodegenerative diseases, muscular degeneration, and drug-induced cardiotoxicity. However, the tools for monitoring redox dynamics in living human cells remain limited in dimensionality, sensitivity, and applicability to disease-relevant models. To overcome these challenges, my research program aims to develop a next-generation, multiplexed optical platform for quantitative redox phenotyping and apply it to disease modeling and drug screening in human induced pluripotent stem cell (iPSC)- derived systems. Over the past five years, my lab has engineered two advanced genetically encoded hydrogen peroxide (H₂O₂) sensors, oROS-G and oROS-HT, exhibiting improved dynamic range, kinetics, and spectral flexibility. We established a high-throughput optical screening platform and integrated machine learning approaches to accelerate protein sensor engineering. These sensors have been applied in diverse host systems, including iPSC-derived neurons and cardiomyocytes, and have revealed new aspects of redox signaling in cell health. Building on this foundation, our future research will continue along three complementary directions. First, we will complete the development of a fully multiplexed, intensity-based TreDox sensor suite to simultaneously monitor oxidative pressure and antioxidant capacity with single-cell resolution in real time. Second, we will engineer lifetime-resolved redox biosensors and use fluorescence lifetime imaging microscopy (FLIM) to enable robust, expression-independent quantification of intracellular redox states. Third, using single-cell optical phenotyping, we will apply these tools to profile redox imbalances and early cytotoxicity signals in human iPSC- derived cardiomyocytes, neurons, and skeletal muscle cells. We aim to detect subtle cellular imbalances in redox pathways that precede cellular dysfunction and are often missed by traditional high throughput assays. This research program will fill critical gaps in our ability to study redox biology in human-derived host systems by integrating state-of-the-art protein engineering, advanced imaging, and human stem cell models. The tools and knowledge generated will improve our understanding of redox-linked disease mechanisms, enhance the predictive power of preclinical drug testing, and establish a flexible, generalizable platform for functional phenotyping at single-cell resolution.

Up to $473K
2031-02-28
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Multiscale Models of Age-Specific Neurometabolic Coupling

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NIA - National Institute on Aging

Cognition is intricately linked to the metabolic processes of the brain, yet existing computational models often overlook the metabolic costs associated with cognitive function. This oversight is critical, especially in neurodegenerative diseases like Alzheimer's, where metabolic dysfunctions play a significant role in cognitive decline. Despite advancements, research biases towards familial AD models have hindered a comprehensive understanding of metabolic changes in aging and late- onset AD, calling for focused investigations into sporadic late-life AD models. Our proposal aims to bridge this gap by comprehensively studying neuro-metabolic coupling using state-of-the-art imaging techniques and computational models. We propose a multifaceted approach involving in vivo microscopy, wide-field imaging, and MRI to elucidate the intricate relationship between neuronal activity and metabolic processes such as oxidative phosphorylation, glucose, lactate, and creatine dynamics. Our specific Aims include (1) Modeling SingleCell Neurometabolic Coupling: Utilizing in vivo two- photon microscopy, we will investigate the astrocyte-neuronal lactate shuttle and quantify the relationship between red blood cell velocity, lactate levels, and neural activity in late-onset AD mouse models. (2) Establishing Cortical Network Models of Neuro-Metabolic Coupling: We will employ multispectral wide-field imaging to examine the role of oxidative phosphorylation in neuronal connectivity, validate computational models with experimental capillary obstructions, and assess sex-specific differences in mitochondrial function. (3) Building a WholeBrain Theory of Neuro-Metabolic Coupling: Through non-invasive brain imaging techniques, we will explore the impact of glucose and creatine metabolism on whole-brain functional connectivity. We will integrate data from animal models and human cohorts to predict Excitation- Inhibition Balance patterns and identify metabolic biomarkers of cognitive decline. This project addresses critical gaps in our understanding of neuro-metabolic coupling in aging and late-onset AD, offering insights into metabolic vulnerabilities and potential targets for personalized therapeutic interventions. Our proposal combines modern neuroscience with multiscale imaging to construct comprehensive models of neuro-metabolic coupling, providing a novel framework for understanding brain function and dysfunction in aging and AD. By integrating data from animal models and human cohorts, we will uncover new insights into the metabolic underpinnings of cognitive decline, advance early diagnosis, and develop more accurate metabolic biomarkers for AD.

Up to $665K
2030-12-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Nano-Biosensing

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U.S. National Science Foundation

The Nano-Biosensing program is part of the Engineering Biology and Health cluster, which includes also 1) Cellular and Biochemical Engineering; 2) Engineering of Biomedical Systems; 3) Biophotonics; and 4) Disability and Rehabilitation Engineering. The Nano-Biosensing program supports fundamental engineering research on devices and methods for measurement and quantification of biological analytes. Proposals that incorporate emerging nanotechnology methods are especially encouraged. Areas of interest include: Multi-purpose sensor platforms that exceed the performance of current state-of-the-art devices. Novel transduction principles, mechanisms and sensor designs suitable for measurement in practical matrix and sample-preparation-free approaches. These include error-free detection of pathogens and toxins in food matrices, waterborne pathogens, parasites, toxins, biomarkers in body fluids, and others that improve human condition. Nano-biosensors that enable measurement of biomolecular interactions in their native states, transmembrane transport, intracellular transport and reactions, and other biological phenomena. Studies that examine intracellular measurements must include discussion on the significance of the measurement. Proposals should clearly identify the proposed problem to be solved, describe why the proposed approach is superior to current available methods, and articulate the benefit of solving the identified problem for the society at large. Sensor designs that yield reliable measurements are encouraged. While sensitivity is important, it cannot be at the expense of reproducibility. Every application must include research strategies for addressing reproducibility of measurement and sensor response, as well as approaches that reduce errors. The program does not support applications with incremental improvements of existing approaches and technologies. Projects that do not include experimental characterization of sensor responses to biological analytes are discouraged, and may be returned without a review. Studies on surface functionalization and immobilization of bio-recognition molecules, and/or orientation of them are not encouraged. Research that is focused on new recognition chemistry is also discouraged. The novelty or potentially transformative nature of the research must be included in the Project Summary. The last line in Project Summary must include three key phrasesthat describe: (1) sensor transduction principles, (2) type of biological analytes, (3) potential application areas. Innovative ideas outside of the above specific interest areas may be considered. However, prior to submission, it is recommended that the PI contact the Program Director to avoid the proposal being returned without review. NOTE: Projects related to water quality may be jointly supported with the Environmental Engineering program (CBET 1440). Photonic nanosensors with medical applications and/or imaging should be submitted to Biophotonics (CBET 7236). The Nano-Biosensing program does not support imaging applications. The duration of unsolicited awards is generally one to three years. The typical award size for the program is approximately $100,000 per year. Proposals requesting a substantially higher amount than this, without prior consultation with the Program Director, may be returned without review. INFORMATION COMMON TO MOST CBET PROGRAMS Proposals should address the novelty and/orpotentially transformative natureof the proposed work compared to previous work in the field. Also, it is important to address why the proposed work is important in terms of engineering science, as well as to also project the potential impact on society and/or industry of success in the research. The novelty or potentially transformative nature of the research should be included, as a minimum, in the Project Summary of each proposal. Faculty Early Career Development(CAREER)program proposals are strongly encouraged. Award duration is five years. The submission deadline for Engineering CAREER proposals is in July every year. Please see the CAREER URLherefor more information. Proposals for Conferences, Workshops, and Supplements: PIs are strongly encouraged to discuss their requests with the Program Director before submission of the proposal. Grants forRapid Response Research(RAPID)andEArly-concept Grants for Exploratory Research(EAGER)are also considered when appropriate. Please note that proposals of these types must be discussed with the program director before submission. Further details are available in theProposal and Award Policies and Procedures Guide(PAPPG)download foundhere.Grant Opportunities for Academic Liaison with Industry (GOALI)proposals that integrate fundamental research with translational results and are consistent with the application areas of interest to each program are also encouraged. Please note that GOALI proposals must be submitted during the annual unsolicited proposal window for each program. More information on GOALI can be foundhere. COMPLIANCE: Proposals which are not compliant with theProposal and Award Policies and Procedures Guide (PAPPG)will be returned without review.

rolling
sciencetechnology

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NASA RESEARCH ANNOUNCEMENT - 2013 COMPETITIVE PROGRAM FOR SCIENCE MUSEUMS PLANETARIUMS AND NASA VISITOR CENTERS PLUS OTHER OPPORTUNITIES CP4SMP+

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NASA Headquarters

Awards will be made as grants, cooperative agreements, and inter- or intra-agency transfers depending on the nature of the proposing organization and/or project requirements. The period of performance for an award may be one to five years. Note that it is NASA policy that all investigations involving non-U.S. organizations will be conducted on the basis of no exchange of funds. An optional pre-proposal teleconference will be held on Feb 20, 2013 from 1:00 p.m. Eastern Time to 3:00 p.m. Eastern Time. Prospective proposers are requested to submit any questions in writing to CP4SMP@jpl.nasa.gov no later than 4 business days before the teleconference so that NASA will be able to cover as much information as possible at the teleconference. NASA plans to post written questions and answers and teleconference charts to the NSPIRES website. An opportunity to ask questions and solicit clarification will be provided in the teleconference. To dial into the teleconference, call 1-888-469-1385. The participant passcode is CP4SMP. For relay services for the hearing impaired, call 711 at least 30 minutes before the call is to begin. Only non-profits that are legally recognized by a federal, state or local authority, including all types of NASA Visitor Centers (e.g., private, state or federal entities) located in the United States or its Territories that provide science, technology, engineering and mathematics (STEM) education programming (such as but not limited to exhibits) are eligible to apply for this NASA Research Announcement (NRA). An eligible institution does not need to have the words museum, visitor center, science, or planetarium in its legal name. No later than the due date for proposals, proposers to this NRA are required to have: 1) a Data Universal Numbering System (DUNS) number, 2) a valid registration with the System for Award Management (SAM) [formerly known as the Central Contractor Registry (CCR)], 3) a valid Commercial And Government Entity (CAGE) Code, 4) a valid registration with NASA Solicitation and Proposal Integrated Review and Evaluation System (NSPIRES) (this also applies to any entities proposed for subawards or subcontracts.) Consult Section VII. Eligibility Requirements of this NRA for the complete detailed explanations and caveats related to institutional and all other eligibility criteria. Principal Investigator Requirement: Principal Investigators (PIs) must be the President, Vice President, Chief Executive Officer, Chief Financial Officer, Chairman of the Board, or similarly ranked executive (e.g., Planetarium Director, Director of Sponsored Research) from an eligible institution. Limit on Number of Proposals per Organization: Eligible organizations shall submit only ONE (1) proposal per DUNS number. If an eligible organization submits more than one proposal using the same DUNS number, then none of the proposals will be evaluated. The NASA Office of Education, in cooperation with NASA Headquarters' Offices of Communications and Chief Technologist, Mission Directorates (i.e., Aeronautics Research, Human Exploration and Operations, and Science), and Mission Support Directorate solicits proposals to support NASA-inspired space, science, technology, engineering, or mathematics (S-STEM) informal education projects, including exhibits and partnerships with K-12 schools or districts, to support inquiry-based education. This NRA or solicitation seeks projects featuring NASA-themed content in space exploration, aeronautics, space science, Earth science, or microgravity, or a combination of these topics (See Section III of this document) to support NASA education outcomes. Leadership of the proposed projects must reside at informal education institutions (IEI); partnership relationships are highly encouraged (See Appendix C for partnership discussion). Proposed projects should address NASA's most current Strategic Plan and propose efforts that are well-aligned with NASA and do not duplicate other federal investments. Proposals also should address substantiated (e.g., through an existing needs assessment or other evidence) national, regional or local educational needs or challenges and offer solutions with potential for significant impact. Examples of eligible projects include but are not limited to: exhibits (permanent, traveling, or virtual); STEM programming serving educators, students, youth, parents, and the general public; STEM programming for informal education providers and staff professional development (e.g., youth groups, out-of-school-time programs, youth group leaders, workshop or activity leaders, curriculum developers, docent managers, exhibit designers, library professionals, community education leaders, education and public outreach (EPO) professionals); informal learning research in STEM, informal education programs, data usage and analysis; curriculum support for informal science education, technology development, performing arts, or activities that are culturally focused on targeted populations, such as women and minorities. Grantee institutions have the responsibility for budgeting and documenting compliance with Code of Federal Regulations, 14 CFR 1230, commonly referred to as "the Common Rule for the Protection of Human Subjects." Research to develop NASA-themed exhibits, programs, curriculum products, etc., may involve full human subjects review through an Institutional Review Board or IRB or it may be exempt. An IRB also certifies when research is exempt. Every institution that intends to submit a proposal to this NRA, including the proposed prime award or any partner whether an informal education institution, other non-profit institutions, state and local Government agencies, and other organizations that will serve as subawardees or contractors, must be registered in NSPIRES. Electronic submission of proposals is required by the due date and must be submitted by an authorized official of the proposing organization. Such registration must identify the authorized organizational representative(s) who will submit the electronic proposal. All principal investigators and other participants (e.g. co-investigators) must be registered in NSPIRES regardless of submission system. Potential proposers and proposing organizations are urged to access the system(s) well in advance of the proposal due date(s) of interest to familiarize themselves with its structure and enter the requested information. Electronic proposals may be submitted via the NASA proposal data system NSPIRES or via Grants.gov. Organizations that intend to submit proposals via Grants.gov must be registered 1-- with Grants.gov and 2--with NSPIRES. Additional programmatic information for this NRA may develop before the proposal due date. If so, such information will be added as a Frequently Asked Question or FAQ or formal amendment to this NRA and posted on http://nspires.nasaprs.com . It is the proposer's responsibility to regularly check NSPIRES for updates to this NRA. When the CP4SMP+ portal page on NSPIRES is updated a notice will be added to the NASA Education Express weekly news service. To subscribe to NASA Express, go to http://www.nasa.gov/education/express .

$100K – $1.3M
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other

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National Center for Quantitative Biology of Complex Systems

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NIGMS - National Institute of General Medical Sciences

PROJECT SUMMARY: Propelled by considerable federal and private investment over the last twenty years, state-of-the-art mass spectrometry systems have become powerful fixtures in the fabric of biomedical research across the country. Researchers submit samples, typically to a core facility but also to expert collaborators, to interrogate the proteome with speed, depth, and precision. Lipidomics and metabolomics are on a similar trajectory. The investment in fundamental technology development by the NIH and other agencies has thus paid off in the revelation of otherwise unseen biology. Another result of these advances, however, is the increasingly widespread appreciation for the value of multi-omic data uniquely capable of revealing the critical interplay between proteins, modified proteins, lipids, and metabolites. It is this orchestra of key biological effector molecules – not any one player, and not simply genes – that regulates complex organisms. That said, the technology paradigm remains single-ome analysis; global quantification methodologies are not routine, even for most expert laboratories. Attaining and understanding multi-omic data in effect requires researchers or laboratories to triple their expertise to piece together the protocols of three different disciplines. Indeed, the proteome alone harbors tremendous complexity that is inaccessible to conventional widely employed methods. Pervasive access to comprehensive technologies would greatly accelerate our understanding of the networks that regulate the health and disease of complex organisms. These technologies are essential for furthering human health – for example by advancing the mechanistic understanding of aging to laying the foundation for personalized cancer treatment. The National Center for Quantitative Biology of Complex Systems (NCQBCS) expedites this transformation in quantitative biology. For nearly a decade, the NCQBCS has developed and delivered next-generation technologies for rapid, accessible biomolecular characterization and measurement. These technologies have led to remarkable biological discoveries and considerable economic growth through patents, technology licensure, and commercialization. The Center is now poised to optimize these technologies for broad dissemination to experts and non-experts alike, lowering the barrier to improved biomolecular characterization, to accessible multi-plexed quantification of proteins and lipids, and to fully integrated multi-omic workflows. For biomedical researchers, success in these goals will open new avenues of inquiry across health and disease contexts and sample types and scales.

Up to $3.7M
2030-06-30
health research

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