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The correlation between expression profiles measured in single cells and in traditional bulk samples

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378041%3A_____%2F16%3A00467510" target="_blank" >RIV/68378041:_____/16:00467510 - isvavai.cz</a>

  • Alternative codes found

    RIV/86652036:_____/16:00467510 RIV/00216208:11130/16:10329601

  • Result on the web

    <a href="http://dx.doi.org/10.1038/srep37022" target="_blank" >http://dx.doi.org/10.1038/srep37022</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/srep37022" target="_blank" >10.1038/srep37022</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The correlation between expression profiles measured in single cells and in traditional bulk samples

  • Original language description

    Reverse transcription quantitative PCR (RT-qPCR) is already an established tool for mRNA detection and quantification. Since recently, this technique has been successfully employed for gene expression analyses, and also in individual cells (single cell RT-qPCR). Although the advantages of single cell measurements have been proven several times, a study correlating the expression measured on single cells, and in bulk samples consisting of a large number of cells, has been missing. Here, we collected a large data set to explore the relation between gene expression measured in single cells and in bulk samples, reflected by qPCR Cq values. We measured the expression of 95 genes in 12 bulk samples, each containing thousands of astrocytes, and also in 693 individual astrocytes. Combining the data, we described the relation between Cq values measured in bulk samples with either the percentage of the single cells that express the given genes, or the average expression of the genes across the single cells. We show that data obtained with single cell RT-qPCR are fully consistent with measurements in bulk samples. Our results further provide a base for quality control in single cell expression profiling, and bring new insights into the biological process of cellular expression.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FH - Neurology, neuro-surgery, nuero-sciences

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Scientific Reports

  • ISSN

    2045-2322

  • e-ISSN

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    nov

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

  • UT code for WoS article

    000388180100001

  • EID of the result in the Scopus database

    2-s2.0-84995687988