This LINCS Department grant is for establishing large-scale data production centers to identify mechanism-based associations between biological perturbations and their cellular ‘signatures.’ It supports high-throughput data collection and computational analysis of molecular/cellular responses in human cell types. The resulting signature knowledge base will be a long-lived community resource, informing disease states, genetic variants, gene networks, and drug mechanisms. This funding also enhances existing LINCS resources by broadening cell types/assays, improving data integration, and developing user interfaces for wider dissemination.
Opportunity ID: 240180
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-RM-13-013 |
| Funding Opportunity Title: | Library of Integrated Network-Based Cellular Signatures (LINCS): Perturbation-Induced Data and Signature Generation Centers (U54) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Health |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.310 — Trans-NIH Research Support |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Aug 19, 2013 |
| Last Updated Date: | Aug 19, 2013 |
| Original Closing Date for Applications: | Dec 19, 2013 |
| Current Closing Date for Applications: | Dec 19, 2013 |
| Archive Date: | Jan 19, 2014 |
| Estimated Total Program Funding: | $10,000,000 |
| Award Ceiling: | $1,700,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | County governments Special district governments Others (see text field entitled “Additional Information on Eligibility” for clarification) Public housing authorities/Indian housing authorities For profit organizations other than small businesses Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Native American tribal governments (Federally recognized) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Public and State controlled institutions of higher education State governments Small businesses Private institutions of higher education Independent school districts City or township governments |
| Additional Information on Eligibility: | Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are not allowed. |
Additional Information
| Agency Name: | National Institutes of Health |
| Description: | This FOA seeks to establish a large-scale data production effort to systematize approaches for identifying mechanism-based associations between the effects of disparate biological perturbations, by means of signatures. Such perturbations may include siRNAs, small bioactive molecules, environmental manipulations, among others. These data will also inform a knowledge base that can be used to study functional relationships among the responding cellular components. The Library of Integrated Network-Based Cellular Signatures (LINCS) program will support high-throughput collection and integrative computational analysis of informative molecular activity and cellular response features applied to a set of carefully selected human cell types. Relevant predictive patterns of molecular activities and other cellular behaviors are the cellular signatures that characterize responses to a variety of perturbing agents. The resulting knowledge-base of signatures will form the basis of a long-lived resource that can be used broadly by the community. For example, LINCS may inform the association of disease states with detailed molecular or cellular phenotypes caused by specific genetic variants, relating disease with changes in the function of specific gene networks, or the mechanism of action of known drugs. This FOA seeks to fund large-scale data production efforts that will enhance the existing LINCS resource while addressing the following: use of a broader range of cell types and assays than used in the existing LINCS resource, improved multidimensional data integration, some new technology development, user-interfaces needed by the typical biomedical scientist, and dissemination of the LINCS approach to study a broad range of disease biology and mechanisms. The outcomes of the research solicited by this FOA are expected to be highly synergistic with those of other research programs. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-13-013.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
FBOWebmaster@OD.NIH.GOV Email:FBOWebmaster@OD.NIH.GOV |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| Modified to add Estimated Total Program Funding information. | Aug 19, 2013 | |
| Aug 19, 2013 |
DISPLAYING: Synopsis 2
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-RM-13-013 |
| Funding Opportunity Title: | Library of Integrated Network-Based Cellular Signatures (LINCS): Perturbation-Induced Data and Signature Generation Centers (U54) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Health |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.310 — Trans-NIH Research Support |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Aug 19, 2013 |
| Last Updated Date: | Aug 19, 2013 |
| Original Closing Date for Applications: | Dec 19, 2013 |
| Current Closing Date for Applications: | Dec 19, 2013 |
| Archive Date: | Jan 19, 2014 |
| Estimated Total Program Funding: | $10,000,000 |
| Award Ceiling: | $1,700,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | County governments Special district governments Others (see text field entitled “Additional Information on Eligibility” for clarification) Public housing authorities/Indian housing authorities For profit organizations other than small businesses Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Native American tribal governments (Federally recognized) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Public and State controlled institutions of higher education State governments Small businesses Private institutions of higher education Independent school districts City or township governments |
| Additional Information on Eligibility: | Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are not allowed. |
Additional Information
| Agency Name: | National Institutes of Health |
| Description: | This FOA seeks to establish a large-scale data production effort to systematize approaches for identifying mechanism-based associations between the effects of disparate biological perturbations, by means of signatures. Such perturbations may include siRNAs, small bioactive molecules, environmental manipulations, among others. These data will also inform a knowledge base that can be used to study functional relationships among the responding cellular components. The Library of Integrated Network-Based Cellular Signatures (LINCS) program will support high-throughput collection and integrative computational analysis of informative molecular activity and cellular response features applied to a set of carefully selected human cell types. Relevant predictive patterns of molecular activities and other cellular behaviors are the cellular signatures that characterize responses to a variety of perturbing agents. The resulting knowledge-base of signatures will form the basis of a long-lived resource that can be used broadly by the community. For example, LINCS may inform the association of disease states with detailed molecular or cellular phenotypes caused by specific genetic variants, relating disease with changes in the function of specific gene networks, or the mechanism of action of known drugs. This FOA seeks to fund large-scale data production efforts that will enhance the existing LINCS resource while addressing the following: use of a broader range of cell types and assays than used in the existing LINCS resource, improved multidimensional data integration, some new technology development, user-interfaces needed by the typical biomedical scientist, and dissemination of the LINCS approach to study a broad range of disease biology and mechanisms. The outcomes of the research solicited by this FOA are expected to be highly synergistic with those of other research programs. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-13-013.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
FBOWebmaster@OD.NIH.GOV Email:FBOWebmaster@OD.NIH.GOV |
DISPLAYING: Synopsis 1
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-RM-13-013 |
| Funding Opportunity Title: | Library of Integrated Network-Based Cellular Signatures (LINCS): Perturbation-Induced Data and Signature Generation Centers (U54) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Health |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.310 — Trans-NIH Research Support |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Aug 19, 2013 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Dec 19, 2013 |
| Archive Date: | Jan 19, 2014 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $1,700,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Public housing authorities/Indian housing authorities Native American tribal organizations (other than Federally recognized tribal governments) For profit organizations other than small businesses Private institutions of higher education Special district governments County governments Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Small businesses Others (see text field entitled “Additional Information on Eligibility” for clarification) City or township governments Native American tribal governments (Federally recognized) Independent school districts Public and State controlled institutions of higher education State governments |
| Additional Information on Eligibility: | Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are not allowed. |
Additional Information
| Agency Name: | National Institutes of Health |
| Description: | This FOA seeks to establish a large-scale data production effort to systematize approaches for identifying mechanism-based associations between the effects of disparate biological perturbations, by means of signatures. Such perturbations may include siRNAs, small bioactive molecules, environmental manipulations, among others. These data will also inform a knowledge base that can be used to study functional relationships among the responding cellular components. The Library of Integrated Network-Based Cellular Signatures (LINCS) program will support high-throughput collection and integrative computational analysis of informative molecular activity and cellular response features applied to a set of carefully selected human cell types. Relevant predictive patterns of molecular activities and other cellular behaviors are the cellular signatures that characterize responses to a variety of perturbing agents. The resulting knowledge-base of signatures will form the basis of a long-lived resource that can be used broadly by the community. For example, LINCS may inform the association of disease states with detailed molecular or cellular phenotypes caused by specific genetic variants, relating disease with changes in the function of specific gene networks, or the mechanism of action of known drugs. This FOA seeks to fund large-scale data production efforts that will enhance the existing LINCS resource while addressing the following: use of a broader range of cell types and assays than used in the existing LINCS resource, improved multidimensional data integration, some new technology development, user-interfaces needed by the typical biomedical scientist, and dissemination of the LINCS approach to study a broad range of disease biology and mechanisms. The outcomes of the research solicited by this FOA are expected to be highly synergistic with those of other research programs. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-13-013.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
FBOWebmaster@OD.NIH.GOV Email:FBOWebmaster@OD.NIH.GOV |
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