Foundation / Corporation
Chan Zuckerberg Initiative (CZI)
Grants to USA, Canada, and International nonprofit organizations, government agencies, and institutions, including laboratories, IHEs, and hospitals, for collaborative projects to develop human cell data on understudied ethnic groups. The purpose of this initiative is to support three-year collaborative projects for the generation of healthy, single-cell reference data from ancestrally diverse tissue samples for the Human Cell Atlas (HCA).
This Request for Applications (RFA) is intended to bring together teams of experts to 1) ethically and appropriately generate data derived from tissues from people whose ancestral groups are historically understudied and thereby expand the ancestral diversity of single-cell data that is available via the HCA, and 2) utilize best practices and build up systems to enable long-term engagement of potential participants and donors from diverse communities to contribute to the current and future drafts of the HCA. This work will help provide insights into the contribution of genetic ancestry to disease now and in the future, resulting in an atlas that may be more generalizable and representative of the diversity found in the global human population.
This funding opportunity supports the continued growth of the HCA, with the aim of filling potential gaps in the first draft of the healthy reference atlas around ancestral groups that have been historically understudied in the biomedical sciences. While there are no specific quotas for this RFA, it is expected that all of the tissue will be from understudied populations. This RFA seeks to attract a new set of grantees primed to answer questions related to commonalities and potential differences in ancestry at the cellular level, as well as grantees with experience in community engagement and building diverse cohorts, and/or access to ancestrally diverse donors and tissue.
This Ancestry Network should collectively generate new tools, open source analysis methods, and openly available data from ancestrally diverse donors across multiple tissue types that provide valuable contributions to the HCA community. Applications should focus on healthy human tissues that will contribute to the reference atlas. Community resources arising from the teams funded by this RFA must be accessible for rapid and open sharing via repositories such as Protocols.io, Addgene, GitHub, bioRxiv, or other open repositories. Samples must be collected in an ethical, equitable, and respectful manner in keeping with the customs, norms, and expectations of the donor communities. Raw sequencing data should be submitted to an archive that ensures maximum accessibility while being respectful of privacy, ethical, and cultural considerations of donors, particularly of marginalized populations.
The overarching scientific goals of this RFA are:
Specific project examples may include, but are not limited to:
GrantWatch ID#: 195184
Because varying projects require different resourcing levels, a budget limit has not been set on a per project basis. Proposed budgets should reflect the project scope. Indirect costs cannot exceed 15% of direct costs.
Proposed projects should be three years in duration with a projected start date no earlier than December 1, 2021. Actual start date may vary.
Before starting your grant application, please review the funding source's website listed below for updates/changes/addendums/conferences/LOIs.
Apply online: https://apply.chanzuckerberg.com/
For administrative and programmatic inquiries, or other questions pertaining to this RFA, please contact firstname.lastname@example.org.
For technical assistance with SMApply, please contact email@example.com or while logged into SMApply, click on the information ”i” link in the upper right corner and submit a help request ticket.
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