We recently demonstrated a method called seqFISH+ that profiles >10,000 genes in single cells in intact brain samples. seqFISH+ provides 10-fold or more improvement over existing methods in the number of mRNAs profiled and barcodes detected per cell, providing a method to generate spatial atlas of cell. In this project, we will apply seqFISH+ to the aging brain at P56, 9 month and 18 month of age for both males and females. We will use the seqFISH+ data to map out cell-to-cell signaling interactions and their effects on cell fate decisions directly in situ. With the genome coverage and spatial resolution of seqFISH+, it is now possible to perform discovery-driven studies independent of scRNA-seq, allowing the interrogation of molecular processes in the aging brain directly in situ. At the same time, we will develop the computational infrastructure to understand the transition between different developmental time points at the single cell level. This highly innovative and multidisciplinary approach will allow us to systematically generate a spatial atlas of the aging brain based on anatomy and molecular identities. These collaborative efforts will allow us to break technological barriers and develop an unprecedentedly comprehensive open resource for brain research.

Public Health Relevance

Understanding the aging brain at the single cell level is a major challenge and central to the goals of the NIA. We will use the newly developed seqFISH+ tools to profile the transcriptome in situ in brain slices from mouse brain at different ages. Application of this new technology to aging brains will allow us to study the cell type specific process occurring in young versus old brains.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
1R01AG066028-01
Application #
9890420
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Mackiewicz, Miroslaw
Project Start
2019-09-30
Project End
2024-05-31
Budget Start
2019-09-30
Budget End
2020-05-31
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
California Institute of Technology
Department
Type
Schools of Arts and Sciences
DUNS #
009584210
City
Pasadena
State
CA
Country
United States
Zip Code
91125