Cited by 195Gene expression and cancer classificationSingle-cell and spatial transcriptomicsMolecular Biology Techniques and Applications

Population-specific expression analysis (PSEA) reveals molecular changes in diseased brain

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Kuhn, Alexandre, Thu, Doris, Waldvogel, Henry J, Faull, Richard L M, Luthi-Carter, Ruth·2011·Nature Methods

Abstract

Human diseases are often accompanied by histological changes that confound interpretation of molecular analyses and identification of disease-related effects. We developed population-specific expression analysis (PSEA), a computational method of analyzing gene expression in samples of varying composition that can improve analyses of quantitative molecular data in many biological contexts. PSEA of brains from individuals with Huntington's disease revealed myelin-related abnormalities that were undetected using standard differential expression analysis.

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Crossref · 10.1038/nmeth.1710

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  • The primary cultures used for expression analyses represented the intended cell populations, as confirmed by immunocytochemistry and largely segregated expression of cell-type-specific mRNAs.

    “The cellular composition of these cultures was verified by immunocytochemistry using antibodies against well established cell-type-specific marker antigens: NeuN/Rbfox (neuronal nuclear antigen/RNA binding protein Fox) for mature neurons, GFAP (glial fibrillary acidic protein) for astrocytes, O4 antigen for oligodendrocytes, and integrin ␣ M chain (Itgam) for microglia (Kuhn et al., 2011).”
  • Brain parenchyma is principally composed of the four neural cell types (neurons, astrocytes, oligodendrocytes, and microglia), with insignificant contributions from endothelial cells, pericytes, fibroblasts, smooth muscle cells, and erythrocytes.

    “As we have shown in recent cell-resolved analyses of brain tissue, brain parenchyma is principally composed of the 4 neural cell types (neurons, astrocytes, oligodendrocytes, and microglia), with insignificant contributions from endothelial cells, pericytes, fibroblasts, smooth muscle cells, and erythrocytes (Kuhn et al., 2011).”
  • 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.”

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Authors
Kuhn, A., Thu, D., Waldvogel, H. J., Faull, R. L. M., & Luthi-Carter, R.
Affiliations
  • École Polytechnique Fédérale de Lausanne (CH)
  • University of Auckland (NZ)
Corresponding author
Kuhn, Alexandre
Venue
Nature Methods
Published
2011-10-09
Volume
8
Issue
11
Pages
945-947
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W2093358653
Cited by
195
References
23
Citations by year
2026: 3 · 2025: 3 · 2024: 9 · 2023: 17 · 2022: 10 · 2021: 21 · 2020: 18 · 2019: 12 · 2018: 24 · 2017: 14 · 2016: 17 · 2015: 12 · 2014: 13 · 2013: 14 · 2012: 7
FWCI
4.41
Type
journal article
Language
en
Open access
Locations
  • Nature Methods (publishedVersion)
  • PubMed (publishedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
  • Leicester Research Archive (University of Leicester) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
  • 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
Keywords
gene expression analysis, Huntington's disease, brain tissue composition, myelin abnormalities, differential gene expression
MeSH terms
Brain Diseases, Humans, Gene Expression Profiling

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