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Single-Cell Quantification of mRNA Expression in The Human Brain

Authors: Sarah Jolly; Verena Lang; Viktor H. Koelzer; Carlo Sala Frigerio; Lorenza Magno; Patricia C. Salinas; Paul Whiting; +1 Authors

Single-Cell Quantification of mRNA Expression in The Human Brain

Abstract

RNA analysis at the cellular resolution in the human brain is challenging. Here, we describe an optimised approach for detecting single RNA transcripts in a cell-type specific manner in frozen human brain tissue using multiplexed fluorescent RNAscope probes. We developed a new robust analytical approach for RNAscope quantification. Our method shows that low RNA integrity does not significantly affect RNAscope signal, recapitulates bulk RNA analysis and provides spatial context to transcriptomic analysis of human post-mortem brain at single-cell resolution. In summary, our optimised method allows the usage of frozen human samples from brain banks to perform quantitative RNAscope analysis. ispartof: SCIENTIFIC REPORTS vol:9 issue:1 ispartof: location:England status: published

Countries
Belgium, Switzerland
Subjects by Vocabulary

Microsoft Academic Graph classification: Mrna expression Cell Computational biology Transcriptome Single-cell analysis RNA analysis medicine Regulation of gene expression Chemistry RNA Human brain medicine.anatomical_structure

Library of Congress Subject Headings: lcsh:Medicine lcsh:Science lcsh:R lcsh:Q

Keywords

610 Medicine & health, Molecular neuroscience, Hippocampus, Article, Alzheimer Disease, 10049 Institute of Pathology and Molecular Pathology, Freezing, Humans, RNA, Messenger, Receptors, Immunologic, 1000 Multidisciplinary, Membrane Glycoproteins, Science & Technology, Multidisciplinary, Brain, AMYLOID-BETA, Up-Regulation, Multidisciplinary Sciences, ALZHEIMERS-DISEASE, Gene Expression Regulation, Science & Technology - Other Topics, Microglia, Single-Cell Analysis, Transcription, HeLa Cells

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    34
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    34
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    Powered byBIP!BIP!
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Average
Top 10%
Green
gold
Funded by
UKRI| Dkk1-Wnt signalling pathway in synapse degeneration: implication for early stages of Alzheimer's disease
Project
  • Funder: UK Research and Innovation (UKRI)
  • Project Code: MR/M024083/1
  • Funding stream: MRC
,
EC| eWAD
Project
eWAD
Unbalanced Wnt signalling in AD: a DNA methylation effect
  • Funder: European Commission (EC)
  • Project Code: 749209
  • Funding stream: H2020 | MSCA-IF-EF-ST
iis
Related to Research communities
Neuroinformatics
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