# Core B: Macromolecular and Cellular Structure Core

> **NIH NIH U54** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2023 · $403,611

## Abstract

PROJECT SUMMARY
 The primary objective of the Macromolecular and Cellular Structure Core is to provide cutting edge,
innovative platforms for structural characterization responsive to needs and discoveries of the U54 FTD Center
without Walls. The long-term goal of this FTD Center without Walls is to understand the overall metabolism of
tau, how it is stabilized by chaperones and cochaperones and how it is channeled for degradation by the
lysosome. This core will use the latest methodologies in cryoEM to determine atomic resolution cryoEM
structures of relevant proteins and protein complexes as defined in Projects 1, 2 and to provide a cellular
context for tau lysosomal degradation via cryoEM-Tomography. The high-resolution studies will be enabled via
the expression and in vitro reconstitution of critical protein-protein complexes and novel cryoEM grid
technologies developed by the Agard lab. Additionally, the core will use its biochemical expertise to quantify
the existence of tau seeds for the other parts of the Center via RTQuiC assays. Together, the contributions
from this Core will be significant as they will reveal fundamental mechanisms dictating tau turnover and provide
novel targets for potential therapeutic intervention.

## Key facts

- **NIH application ID:** 10692745
- **Project number:** 5U54NS123985-03
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** DAVID A. AGARD
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $403,611
- **Award type:** 5
- **Project period:** 2021-09-27 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10692745

## Citation

> US National Institutes of Health, RePORTER application 10692745, Core B: Macromolecular and Cellular Structure Core (5U54NS123985-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10692745. Licensed CC0.

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