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B Cell Receptor and T Cell Receptor Repertoire Computational Tools

Description:

 

B Cell Receptor and T Cell Receptor Repertoire Computational Tools

Fast-Track proposals will not be accepted Number of anticipated awards: 1-3 Budget (total costs, per award): Phase I: up to $450,000 for up to 2 years;

Phase II: up to $1,000,000/year with appropriate justification by the applicant for up to 3 years.

PROPOSALS THAT EXCEED THE BUDGET OR PROJECT DURATION LISTED ABOVE MAY NOT BE FUNDED.

Background:

Antigen specificity is a fundamental feature of adaptive immunity, underlying immune homeostasis and control of infection by pathogens in higher vertebrates. B cells and T cells form the two arms of the adaptive immune system, each expressing antigen-specific receptors, B cell receptors (BCR) and T cell receptors (TCR), respectively. Previously, the characterization of receptor sequence repertoires relied on low-resolution approaches, but with the advent of high-throughput sequencing, it has become possible to characterize the receptor repertoires at unprecedented depth. Subsequently, receptor repertoire sequences profiling has become an important part of basic and clinical immunology research, including vaccine design and monitoring responses to therapy.

Project Goal:

The goal of this program is to support the development of computational tools to accelerate the analysis of B cell receptor and T cell receptor repertoire sequence data. These tools should improve the ability to collect, compile and compare receptor sequence data for analysis and comparison across cell-types and infectious and immune-mediated diseases. A secondary goal is to facilitate the connection between receptor repertoire patterns and antigen or epitope prediction. Tools generated should have demonstrated utility to compile and interrogate data available to the public, such as NCBI’s Single Read Archive, but may also demonstrate use for other publicly available sources of data.

Phase I Activities include, but are not limited to:

Development of computational tools to organize and interrogate receptor sequence data available in existing public databases.

• Development of computational tools to correlate receptor sequence to antigen identity.

Phase II Activities include, but are not limited to:

Validation of computational tools to correlate receptor sequence to antigen identity.

• Validation of computational tools to interrogate receptor sequence data in public databases.

This SBIR will not support:

Any phase clinical trial.

• Proposals focused exclusively on animal studies and animal disease models.

• Studies that do not fall within NIAID mission.

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