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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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