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Single-cell RNA sequencing analysis of T helper cell differentiation and heterogeneity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081707%3A_____%2F22%3A00559610" target="_blank" >RIV/68081707:_____/22:00559610 - isvavai.cz</a>

  • Alternative codes found

    RIV/65269705:_____/22:00076202 RIV/00216224:14310/22:00127718

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0167488922001136?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0167488922001136?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.bbamcr.2022.119321" target="_blank" >10.1016/j.bbamcr.2022.119321</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Single-cell RNA sequencing analysis of T helper cell differentiation and heterogeneity

  • Original language description

    Single-cell transcriptomics has emerged as a powerful tool to investigate cells' biological landscape and focus on the expression profile of individual cells. Major advantage of this approach is an analysis of highly complex and heterogeneous cell populations, such as a specific subpopulation of T helper cells that are known to differentiate into distinct subpopulations. The need for distinguishing the specific expression profile is even more important considering the T cell plasticity. However, importantly, the universal pipelines for single-cell analysis are usually not sufficient for every cell type. Here, the aims are to analyze the diversity of T cell phenotypes employing classical in vitro cytokine-mediated differentiation of human T cells isolated from human peripheral blood by single-cell transcriptomic approach with support of labelled antibodies and a comprehensive bioinformatics analysis using combination of Seurat, Nebulosa, GGplot and others. The results showed high expression similar-ities between Th1 and Th17 phenotype and very distinct Th2 expression profile. In a case of Th2 highly specific marker genes SPINT2, TRIB3 and CST7 were expressed. Overall, our results demonstrate how donor difference, Th plasticity and cell cycle influence the expression profiles of distinct T cell populations. The results could help to better understand the importance of each step of the analysis when working with T cell single-cell data and observe the results in a more practical way by using our analyzed datasets.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Biochimica Et Biophysica Acta-Molecular Cell Research

  • ISSN

    0167-4889

  • e-ISSN

    1879-2596

  • Volume of the periodical

    1869

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    17

  • Pages from-to

    119321

  • UT code for WoS article

    000828701100002

  • EID of the result in the Scopus database

    2-s2.0-85134466656