Resveratrol Modulates Phagocytosis of Bacteria through an NF-κB-Dependent Gene Program

Iyori, Mitsuhiro; Kataoka, Hideo; Shamsul, Haque Mohammad; Kiura, Kazuto; Yasuda, Motoaki; Nakata, Takashi; Hasebe, Akira; Shibata, Ken Ichiro

doi:10.1128/aac.00210-07

Cited by 35 publications

(41 citation statements)

References 22 publications

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“…For instance, inhibition of NF-κB activity due to elevated Nfkbia expression across many tissue types appears to be a common response to CR. At least one proposed CR-mimetic compound, resveratrol, mimics this effect (Manna et al, 2000;Pendurthi et al, 2002;Iyori et al, 2008), and similar responses might also be attained by treatment with other NF-κB inhibitors now undergoing development (Gilmore and Herscovitch, 2006).…”

Section: Discussionmentioning

confidence: 96%

Genes regulated by caloric restriction have unique roles within transcriptional networks

Swindell

2008

Mechanisms of Ageing and Development

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Caloric restriction (CR) has received much interest as an intervention that delays age-related disease and increases lifespan. Whole-genome microarrays have been used to identify specific genes underlying these effects, and in mice, this has led to the identification of genes with expression responses to CR that are shared across multiple tissue types. Such CR-regulated genes represent strong candidates for future investigation, but have been understood only as a list, without regard to their broader role within transcriptional networks. In this study, co-expression and network properties of CR-regulated genes were investigated using data generated by more than 600 Affymetrix microarrays. This analysis identified groups of co-expressed genes and regulatory factors associated with the mammalian CR response, and uncovered surprising network properties of CR-regulated genes. Genes downregulated by CR were highly connected and located in dense network regions. In contrast, CR-upregulated genes were weakly connected and positioned in sparse network regions. Some network properties were mirrored by CR-regulated genes from invertebrate models, suggesting an evolutionary basis for the observed patterns. These findings contribute to a systems-level picture of how CR influences transcription within mammalian cells, and point towards a comprehensive understanding of CR in terms of its influence on biological networks.

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Section: Discussionmentioning

confidence: 96%

Genes regulated by caloric restriction have unique roles within transcriptional networks

Swindell

2008

Mechanisms of Ageing and Development

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“…HEK293 cells and HEK293 cells stably expressing DC-SIGN (293/DC-SIGN) [6] were maintained in Dulbecco's modified Eagle's medium (Sigma) supplemented with 10% (vol/vol) heat-inactivated fetal bovine serum (Gibco BRL, Rockville, MD), 100 units/ml penicillin (Sigma) and 100 g/ml streptomycin (Sigma). All transfections were carried out using METAFECTENE™ These mutations were confirmed by sequencing.…”

Section: Reagentsmentioning

confidence: 99%

“…The phagocytosis was performed by the method described previously [6,7]. 293/DC-SIGN stable and transient transfectants (2.5 x 10 5 ) were seeded in each well of a 24-well plate and then incubated at 37°C on the day before the assay.…”

Section: Reagentsmentioning

confidence: 99%

“…293/DC-SIGN stable and transient transfectants (2.5 x 10 5 ) were seeded in each well of a 24-well plate and then incubated at 37°C on the day before the assay. After the cells had been washed three times with base medium warmed at 37°C, they were incubated for 1 h or 2 h with indicated doses of Alexa Fluor ® 488-conjugated E. coli by confocal laser scanning microscopy (CLSM) was previously described [6,7].…”

Section: Reagentsmentioning

confidence: 99%

“…Immunoblotting was performed as described using either an anti-DC-SIGN mAb (MAB161) or an anti--actin mAb as a primary Ab and an HRP-conjugated anti-mouse IgG (Jackson ImmunoResearch Laboratories, Inc., West Grove, PA) as a secondary Ab [6,7]. Immunoreactive proteins were detected by using ECL™ detection reagents (GE Healthcare, Piscataway, NJ).…”

Section: Reagentsmentioning

confidence: 99%

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