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Selected Toll-like receptor agonist combinations synergistically trigger a T helper type 1-polarizing program in dendritic cells.

by Napolitani G, Rinaldi A, Bertoni F, Sallusto F, Lanzavecchia A
Nature immunology.

Article Abstract:

Toll-like receptors (TLRs) sense microbial products and initiate adaptive immune responses by activating dendritic cells (DCs). As pathogens may contain several TLR agonists, we sought to determine whether different TLRs cooperate in DC activation. In human and mouse DCs, TLR3 and TLR4 potently acted in synergy with TLR7, TLR8 and TLR9 in the induction of a selected set of genes. Synergic TLR stimulation increased production of interleukins 12 and 23 and increased the Delta-4/Jagged-1 ratio, leading to DCs with enhanced and sustained T helper type 1-polarizing capacity. Global gene transcriptional analysis showed that TLR synergy 'boosted' only approximately 1% of the transcripts induced by single TLR agonists. These results identify a 'combinatorial code' by which DCs discriminate pathogens and suggest new strategies for promoting T helper type 1 responses.

Error bars in experimental biology

By: Anonymous - Wed 4/11/2007 PM
Rule 3: error bars and statistics should only be shown for independently repeated experiments, and never for replicates. If a “representative” experiment is shown, it should not have error bars or P values, because in such an experiment, n = 1

Cummings et al. J Cell Biol. 2007 Apr 9;177(1):7-11.

A criticism to the statistical analysis

By: Anonymous - Wed 12/06/2006 AM
In this article most experiments presented are “...means of duplicates of one representative experiment of four (three or five)” and no datum is given about how much the other three (of two or four) experiments diverge from that reported by the authors as the 'representative' one. To my knowledge this cannot be considered a correct statistical analysis of the data. What do yo think about that?
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