Skip to main content
Article
Decoding brain memory formation by single-cell RNA sequencing
Brief Bioinformatics (2022)
  • Atlas M Sardoo
  • Shaoqiang Zhang
  • Thomas Ferraro, Rowan University
  • Dr. Thomas M. Keck, Rowan University
  • Yong Chen
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
  • Alzheimer disease,
  • memory formation,
  • scRNA-seq,
  • snRNA-seq
Publication Date
September 24, 2022
DOI
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" Brief Bioinformatics (2022)
Available at: http://works.bepress.com/thomas-keck/26/