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Single-Cell Gene Expression Analysis: Implications for Neurodegenerative and Neuropsychiatric Disorders
Abstract
Technical and experimental advances in microaspiration techniques, RNA amplification, quantitative real-time polymerase chain reaction (qPCR), and cDNA microarray analysis have led to an increase in the number of studies of single-cell gene expression. In particular, the central nervous system (CNS) is an ideal structure to apply single-cell gene expression paradigms. Unlike an organ that is composed of one principal cell type, the brain contains a constellation of neuronal and noneuronal populations of cells. A goal is to sample gene expression from similar cell types within a defined region without potential contamination by expression profiles of adjacent neuronal subpopulations and noneuronal cells. The unprecedented resolution afforded by single-cell RNA analysis in combination with cDNA microarrays and qPCR-based analyses allows for relative gene expression level comparisons across cell types under different experimental conditions and disease states. The ability to analyze single cells is an important distinction from global and regional assessments of mRNA expression and can be applied to optimally prepared tissues from animal models as well as postmortem human brain tissues. This focused review illustrates the potential power of single-cell gene expression studies within the CNS in relation to neurodegenerative and neuropsychiatric disorders such as Alzheimer's disease (AD) and schizophrenia, respectively.
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Purifying cell populations or performing single-cell transcriptional analyses can identify important changes not apparent in whole-tissue transcriptomes.
“Purifying cell populations or carrying out transcriptional analyses on single cells158–163 can identify important changes that are not apparent in whole-tissue transcriptomes141,142.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [158]
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Metadata
- Authors
- Ginsberg, S. D., Elarova, I., Ruben, M., Tan, F., Counts, S. E., Eberwine, J. H., Trojanowski, J. Q., Hemby, S. E., Mufson, E. J., & Che, S.
- Affiliations
- New York University (US)
- Nathan Kline Institute for Psychiatric Research (US)
- Rush University Medical Center (US)
- University of Pennsylvania (US)
- Emory University (US)
- Corresponding author
- Ginsberg, Stephen D.
- ORCID
- Venue
- Neurochemical Research
- Published
- 2004-06
- Volume
- 29
- Issue
- 6
- Pages
- 1053-1064
- ISSN
- 0364-3190 (ISSN-L)
- 1573-6903
- OpenAlex
- W2111247490
- Cited by
- 97
- References
- 107
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 2 · 2018: 2 · 2017: 1 · 2015: 5 · 2014: 4 · 2013: 5 · 2012: 2
- FWCI
- 4.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Neurochemical Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (AG9900, AG 10161, AG-14449, AG09215, P01AG014449, AG021661, R01AG021661, P30AG010124, P01AG009215, AG09466, AG-10124, P30AG010161, AG 10668, R01AG043375, P01AG009466, R01AG010668)
- National Institute of Mental Health (MH 43880)
- National Cancer Institute (R21CA094520, CA94520)
- National Institute of Neurological Disorders and Stroke (NS43939, R01NS043939)
- NIH Clinical Center
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- single-cell gene expression, neurodegenerative diseases, neuropsychiatric disorders, Alzheimer's disease, schizophrenia, central nervous system, neuronal subpopulations, postmortem brain, animal models, gene expression profiling
- MeSH terms
- Cell Physiological Phenomena, Humans, Neurons, Receptors, Dopamine, Schizophrenia, Gene Expression, Prosencephalon, Neurodegenerative Diseases, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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