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Single-cell RNA sequencing identifies distinct transcriptomic signatures between PMA/ionomycin-and αCD3/ αCD28-activated primary human T cells
DC Field | Value | Language |
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dc.contributor.author | 오지원 | - |
dc.date.accessioned | 2024-01-16T01:50:12Z | - |
dc.date.available | 2024-01-16T01:50:12Z | - |
dc.date.issued | 2023-06 | - |
dc.identifier.issn | 1598-866X | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/197758 | - |
dc.description.abstract | Immunologists have activated T cells in vitro using various stimulation methods, including phorbol myristate acetate (PMA)/ionomycin and αCD3/αCD28 agonistic antibodies. PMA stimulates protein kinase C, activating nuclear factor-κB, and ionomycin increases intracellular calcium levels, resulting in activation of nuclear factor of activated T cell. In contrast, αCD3/αCD28 agonistic antibodies activate T cells through ZAP-70, which phosphorylates linker for activation of T cell and SH2-domain-containing leukocyte protein of 76 kD. However, despite the use of these two different in vitro T cell activation methods for decades, the differential effects of chemical-based and antibody-based activation of primary human T cells have not yet been comprehensively described. Using single-cell RNA sequencing (scRNA-seq) technologies to analyze gene expression unbiasedly at the single-cell level, we compared the transcriptomic profiles of the non-physiological and physiological activation methods on human peripheral blood mononuclear cell–derived T cells from four independent donors. Remarkable transcriptomic differences in the expression of cytokines and their respective receptors were identified. We also identified activated CD4 T cell subsets (CD55+) enriched specifically by PMA/ionomycin activation. We believe this activated human T cell transcriptome atlas derived from two different activation methods will enhance our understanding, highlight the optimal use of these two in vitro T cell activation assays, and be applied as a reference standard when analyzing activated specific disease-originated T cells through scRNA-seq. © 2023 Korea Genome Organization. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Korea Genome Organization | - |
dc.relation.isPartOf | Genomics & Informatics | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Single-cell RNA sequencing identifies distinct transcriptomic signatures between PMA/ionomycin-and αCD3/ αCD28-activated primary human T cells | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Anatomy (해부학교실) | - |
dc.contributor.googleauthor | Jung Ho Lee | - |
dc.contributor.googleauthor | Brian H Lee | - |
dc.contributor.googleauthor | Soyoung Jeong | - |
dc.contributor.googleauthor | Christine Suh-Yun Joh | - |
dc.contributor.googleauthor | Hyo Jeong Nam | - |
dc.contributor.googleauthor | Hyun Seung Choi | - |
dc.contributor.googleauthor | Henry Sserwadda | - |
dc.contributor.googleauthor | Ji Won Oh | - |
dc.contributor.googleauthor | Chung-Gyu Park | - |
dc.contributor.googleauthor | Seon-Pil Jin | - |
dc.contributor.googleauthor | Hyun Je Kim | - |
dc.identifier.doi | 10.5808/gi.23009 | - |
dc.contributor.localId | A06327 | - |
dc.relation.journalcode | J00940 | - |
dc.identifier.eissn | 2234-0742 | - |
dc.identifier.pmid | 37704208 | - |
dc.subject.keyword | T cell | - |
dc.subject.keyword | T cell activation | - |
dc.subject.keyword | scRNA-seq | - |
dc.subject.keyword | transcriptome | - |
dc.contributor.alternativeName | Oh, Ji Won | - |
dc.contributor.affiliatedAuthor | 오지원 | - |
dc.citation.volume | 21 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | e18 | - |
dc.identifier.bibliographicCitation | Genomics & Informatics, Vol.21(2) : e18, 2023-06 | - |
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