Dataset Information

PD-1highCXCR5–CD4+ Peripheral Helper T (Tph) cells Promote CXCR3+ Plasmablasts in the early phase of COVID-19

ABSTRACT: T cell–B cell interaction is the key immune response to protect host from severe viral infection. We used COVID-19 as a model of acute viral infections and analyzed CD4+ T cell subsets associated with plasmablasts expansion and clinical outcome. Peripheral helper T cells (Tph, denoted as PD-1highCXCR5–CD4+ T cells) were significantly increased, as were plasmablasts. Tph cells exhibited “B-cell help” signatures and induced plasmablasts differentiation in vitro. Expanded plasmablasts showed increased CXCR3 expression, which is positively correlated with higher frequency of activated Tph cells and better clinical outcome. These results elucidate a critical role for Tph cells in regulating protective B cell response during acute viral infection.

ORGANISM(S): Homo sapiens

PROVIDER: GSE214624 | GEO | 2023/01/05

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Wodarz2007 - HIV/CD4 T-cell interaction A deterministic model illustrating how CD4 T-cells can influence HIV infection. This model is described in the article: Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus? Wodarz D, Hamer DH. Math Biosci 2007 Sep; 209(1): 14-29 Abstract: Recent experimental data have shown that HIV-specific CD4 T cells provide a very important target for HIV replication. We use mathematical models to explore the effect of specific CD4 T cell infection on the dynamics of virus spread and immune responses. Infected CD4 T cells can provide antigen for their own stimulation. We show that such autocatalytic cell division can significantly enhance virus spread, and can also provide an additional reservoir for virus persistence during anti-viral drug therapy. In addition, the initial number of HIV-specific CD4 T cells is an important determinant of acute infection dynamics. A high initial number of HIV-specific CD4 T cells can lead to a sudden and fast drop of the population of HIV-specific CD4 T cells which results quickly in their extinction. On the other hand, a low initial number of HIV-specific CD4 T cells can lead to a prolonged persistence of HIV-specific CD4 T cell help at higher levels. The model suggests that boosting the population of HIV-specific CD4 T cells can increase the amount of virus-induced immune impairment, lead to less efficient anti-viral effector responses, and thus speed up disease progression, especially if effector responses such as CTL have not been sufficiently boosted at the same time. This model is hosted on BioModels Database and identified by: BIOMD0000000663. To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

PD-1highCXCR5–CD4+ Peripheral Helper T (Tph) cells Promote CXCR3+ Plasmablasts in the early phase of COVID-19

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets