ArticleBriefings in bioinformatics2022
Decoding brain memory formation by single-cell RNA sequencing.
Article in Briefings in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Modern Mining: The Role of Single-cell RNA Sequencing in Advancing Neuroscience Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Single nucleus RNA-sequencing reveals transcriptional synchrony across different relationships.bioRxiv : the preprint server for biology · 2024Article
- Article
- q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomics.Communications biology · 2024Article
- Identification of macrophage-related genes correlated with prognosis and immunotherapy efficacy in non-small cell lung cancer.Heliyon · 2024Article
- Spatially resolved transcriptomic signatures of hippocampal subregions andFrontiers in molecular neuroscience · 2024Article
- SAA suppresses α-PD-1 induced anti-tumor immunity by driving TCell death & disease · 2023Article
- Self-supervised deep clustering of single-cell RNA-seq data to hierarchically detect rare cell populations.Briefings in bioinformatics · 2023Article
- Roles of microglia in adult hippocampal neurogenesis in depression and their therapeutics.Frontiers in immunology · 2023Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.