{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:54:25Z","timestamp":1777488865986,"version":"3.51.4"},"reference-count":194,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T00:00:00Z","timestamp":1664150400000},"content-version":"vor","delay-in-days":2,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Natural Science Funds of Tianjin Municipal Science and Technology Bureau","award":["19JCZDJC35100"],"award-info":[{"award-number":["19JCZDJC35100"]}]},{"name":"Rowan University Startup grant"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,19]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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.<\/jats:p>","DOI":"10.1093\/bib\/bbac412","type":"journal-article","created":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T08:49:06Z","timestamp":1664182146000},"source":"Crossref","is-referenced-by-count":15,"title":["Decoding brain memory formation by single-cell RNA sequencing"],"prefix":"10.1093","volume":"23","author":[{"given":"Atlas M","family":"Sardoo","sequence":"first","affiliation":[{"name":"Department of Biological & Biomedical Sciences, Rowan University , Glassboro, NJ 08028 , USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4127-0539","authenticated-orcid":false,"given":"Shaoqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer and Information Engineering, Tianjin Normal University , Tianjin 300387 , China"}]},{"given":"Thomas N","family":"Ferraro","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Cooper Medical School of Rowan University , Camden, NJ 08103 , USA"}]},{"given":"Thomas M","family":"Keck","sequence":"additional","affiliation":[{"name":"Department of Biological & Biomedical Sciences, Rowan University , Glassboro, NJ 08028 , USA"},{"name":"Department of Chemistry & Biochemistry, Rowan University , Glassboro, NJ 08028 , USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6827-4321","authenticated-orcid":false,"given":"Yong","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Biological & Biomedical Sciences, Rowan University , Glassboro, NJ 08028 , 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