Usage Information

NF-κB regulation of endothelial cell function during LPS-induced toxemia and cancer
Tatiana Kisseleva, Li Song, Marina Vorontchikhina, Nikki Feirt, Jan Kitajewski, Christian Schindler
Tatiana Kisseleva, Li Song, Marina Vorontchikhina, Nikki Feirt, Jan Kitajewski, Christian Schindler
View: Text | PDF
Research Article Vascular biology

NF-κB regulation of endothelial cell function during LPS-induced toxemia and cancer

Abstract

The transcription factor NF-κB is an important regulator of homeostatic growth and inflammation. Although gene-targeting studies have revealed important roles for NF-κB, they have been complicated by component redundancy and lethal phenotypes. To examine the role of NF-κB in endothelial tissues, Tie2 promoter/enhancer–IκBαS32A/S36A transgenic mice were generated. These mice grew normally but exhibited enhanced sensitivity to LPS-induced toxemia, notable for an increase in vascular permeability and apoptosis. Moreover, B16-BL6 tumors grew significantly more aggressively in transgenic mice, underscoring a new role for NF-κB in the homeostatic response to cancer. Tumor vasculature in transgenic mice was extensive and disorganized. This correlated with a marked loss in tight junction formation and suggests that NF-κB plays an important role in the maintenance of vascular integrity and response to stress.

Authors

Tatiana Kisseleva, Li Song, Marina Vorontchikhina, Nikki Feirt, Jan Kitajewski, Christian Schindler

×

Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 840 122
PDF 149 21
Figure 454 6
Supplemental data 50 1
Citation downloads 139 0
Totals 1,632 150
Total Views 1,782
(Click and drag on plot area to zoom in. Click legend items above to toggle)

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement