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Accelerating the Integration and Translation of Technologies to Characterize Biological Processes at the Single Cell Level (R01)

Post Date

November 23rd 2011

Application Due Date

January 23rd 2012

Funding Opportunity Number

RFA-RM-11-015

CFDA Number(s)

93.310

Funding Instrument Type(s)

Grant

Funding Activity Categories

Health

Eligibility Categories

State Governments
County Governments
City or Township Governments
Special District Governments
Independent School Districts
Public and State Controlled Institutions of Higher Education
Federally Recognized Native American Tribal Governments
Public Housing Authorities or Indian Housing Authorities
Non-Federally Recognized Native American Tribal Organizations
Non-Profits With 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Non-Profits Without 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Private Institutions of Higher Education
For-Profit Organizations (Except Small Businesses)
Small Businesses
Other

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; 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); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

Funding

  • Estimated Total Funding:

    $4000000

  • Award Range:

    $None - $750000

Grant Description

This NIH Funding Opportunity Announcement (FOA), supported by funds from the NIH Common Fund, invites applications for R01 awards that will accelerate the translation of promising technologies for single cell analysis from prototype into practice, by taking them through the downstream development and validation process and establishing them as robust, well-characterized tools ready to transform our understanding of cell-level heterogeneity in a wide variety of clinical and research settings. Awards will focus on supporting multidisciplinary teams that apply an integrative, quantitative approach to developing these technologies so they fulfill a critical unmet need by offering compelling advantages to end-users, but can be applied to multiple types of cell populations. It is expected that applications will have well-defined goal(s) with intermediate quantitative milestones.

Contact Information


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