Developing EasySci, a High-Throughput and Low-Cost Single-Cell Genomic Technique, to Study Aging and Alzheimer's Disease in Human and Mouse Brain

Author

Andras Sziraki

Date of Award

2024

Document Type

Thesis

Degree Name

Doctor of Philosophy (PhD)

RU Laboratory

Cao Laboratory

Abstract

Previous single-cell methods are limited by their relatively low throughput and high costs. This prevents most laboratories from performing large-scale cell profiling, complicating the understanding of rare cell type contributions to aging and disease. Moreover, these methods often focus on the 3' end of genes. Without capturing the complete gene body coverage, these technologies have limited detection of specific isoforms. To address these limitations, we extensively optimized a combinatorial indexing-based framework to develop EasySci. We used EasySci to study cell population dynamics associated with aging and Alzheimer’s disease in the mammalian brain. This dataset recovered approximately 1.5 million single-cell transcriptomes and 400,000 chromatin accessibility profiles from 20 mouse brains.

Comments

A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy

Recommended Citation

Sziraki, Andras, "Developing EasySci, a High-Throughput and Low-Cost Single-Cell Genomic Technique, to Study Aging and Alzheimer's Disease in Human and Mouse Brain" (2024). Student Theses and Dissertations. 778.
https://digitalcommons.rockefeller.edu/student_theses_and_dissertations/778