Article
Decoding brain memory formation by single-cell RNA sequencing
Briefings in Bioinformatics
(2022)
Abstract
To understand how distinct memories are formed and stored in the brain is an important and fundamental question in neuroscience and computational biology. A population of neurons, termed engram cells, represents the physiological manifestation of a specific memory trace and is characterized by dynamic changes in gene expression, which in turn alters the synaptic connectivity and excitability of these cells. Recent applications of single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) are promising approaches for delineating the dynamic expression profiles in these subsets of neurons, and thus understanding memory-specific genes, their combinatorial patterns and regulatory networks. The aim of this article is to review and discuss the experimental and computational procedures of sc/snRNA-seq, new studies of molecular mechanisms of memory aided by sc/snRNA-seq in human brain diseases and related mouse models, and computational challenges in understanding the regulatory mechanisms underlying long-term memory formation.
Keywords
- memory formation,
- scRNA-seq,
- snRNA-seq,
- Alzheimer disease
Disciplines
Publication Date
September 24, 2022
DOI
https://doi.org/10.1093/bib/bbac412
Citation Information
Atlas M Sardoo, Shaoqiang Zhang, Thomas Ferraro, Thomas M. Keck, et al.. "Decoding brain memory formation by single-cell RNA sequencing" Briefings in Bioinformatics (2022) Available at: http://works.bepress.com/yong-chen/39/