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Decoding brain memory formation by single-cell RNA sequencing

delete2022-09-24
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OA
AI
A
Atlas Sardoo
S
Shaoqiang Zhang
T
Thomas N. Ferraro
T
Thomas M. Keck
Y
Yong Chen *
DOI:10.1093/bib/bbac412delete
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Abstract

Abstract

En 中文
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
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Journal

Briefings in Bioinformatics cover
Briefings in Bioinformatics
IF:
7.7
Papers:
5.6K
Citations:
2.7W

Organization

T
Tianjin Normal University
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4.6K
Papers: 3.2K
Citations: 4.2K
R
Rowan University
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