Dendritic cells rapidly undergo apoptosis in vitro following culture with activated CD4(+) V alpha 24 natural killer T cells expressing CD40L

Human V alpha 24 natural killer T (V alpha 24NKT) cells are activated by -glycosylceramide-pulsed dendritic cells (DCs) in a CDld-dependent and T-cell receptor-mediated manner. There are two major subpopulations of V alpha 24NKT cells, CD4(-) CD8(-) V alpha 24NKT and CD4(+) V alpha 24NKT cells. We have recently shown that activated CD4(-) CD8 V alpha 24NKT cells have cytotoxic activity against DCs, but knowledge of the molecules responsible for cytotoxicity of V alpha 24NKT cells is currently limited. We aimed to investigate whether CD4(+) V alpha 24NKT cells also have cytotoxic activity against DCs and to determine the mechanisms underlying any observed cytotoxic activity. We demonstrated that activated CD4(+) V alpha 24NKT cells [CD40 ligand (CD40L) -positive] have cytotoxic activity against DCs (strongly CD40-positive), but not against monocytes (weakly CD40-positive) or phytohaemagglutinin blast T cells (CD40-negative), and that apoptosis of DCs significantly contributes to the observed cytotoxicity. The apoptosis of DCs following culture with activated CD4(+) V alpha 24NKT cells, but not with resting CD4(+) V alpha 24NKT cells (CD40L-negative), was partially inhibited by anti-CD40L mAb, Direct ligation of CD40 on the DCs by the anti-CD40 antibody also induced apoptosis of DCs. Our results suggest that CD40-CD40L interaction plays an important role in the induction of apoptosis of DCs following culture with activated CD4+ Va24NKT cells. The apoptosis of DCs from normal donors. triggered by the CD40-CD40L interaction, may contribute to the homeostatic regulation of the normal human immune system, preventing the interminable activation of activated CD4(+) V alpha 24NKT cells by virtue of apoptosis of DCs.

Transcriptional network dynamics in macrophage activation

Transcriptional regulatory networks govern cell differentiation and the cellular response to external stimuli. However, mammalian model systems have not yet been accessible for network analysis. Here, we present a genome-wide network analysis of the transcriptional regulation underlying the mouse macrophage response to bacterial lipopolysaccharide (LPS). Key to uncovering the network structure is our combination of time-series cap analysis of gene expression with in silico prediction of transcription factor binding sites. By integrating microarray and qPCR time-series expression data with a promoter analysis, we find dynamic subnetworks that describe how signaling pathways change dynamically during the progress of the macrophage LPS response, thus defining regulatory modules characteristic of the inflammatory response. In particular, our integrative analysis enabled us to suggest novel roles for the transcription factors ATF-3 and NRF-2 during the inflammatory response. We believe that our system approach presented here is applicable to understanding cellular differentiation in higher eukaryotes. (c) 2006 Elsevier Inc. All rights reserved.