Alternate transcription of the Toll-like receptor signaling cascade

75Citations
Citations of this article
83Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Alternate splicing of key signaling molecules in the Toll-like receptor (Tlr) cascade has been shown to dramatically alter the signaling capacity of inflammatory cells, but it is not known how common this mechanism is. We provide transcriptional evidence of widespread alternate splicing in the Toll-like receptor signaling pathway, derived from a systematic analysis of the FANTOM3 mouse data set. Functional annotation of variant proteins was assessed in light of inflammatory signaling in mouse primary macrophages, and the expression of each variant transcript was assessed by splicing arrays. Results: A total of 256 variant transcripts were identified, including novel variants of Tlr4, Ticam1, Tollip, Rac 1, Irak 1, 2 and 4, Mapk14/p38, Atf2 and Stat 1. The expression of variant transcripts was assessed using custom-designed splicing arrays. We functionally tested the expression of Tlr4 transcripts under a range of cytokine conditions via northern and quantitative real-time polymerase chain reaction. The effects of variant Mapk 14/p38 protein expression on macrophage survival were demonstrated. Conclusion: Members of the Toll-like receptor signal ing pathway are highly alternatively spliced, producing a large number of novel proteins with the potential to functionally alter inflammatory outcomes. These variants are expressed in primary mouse macrophages in response to inflammatory mediators such as interferon-γ and lipopolysaccharide. Our data suggest a surprisingly common role for variant proteins in diversification/repression of inflammatory signaling. © 2006 Wells et al.; licensee BioMed Central Ltd.

Cite

CITATION STYLE

APA

Wells, C. A., Chalk, A. M., Forrest, A., Taylor, D., Waddell, N., Schroder, K., … Grimmond, S. M. (2006). Alternate transcription of the Toll-like receptor signaling cascade. Genome Biology, 7(2). https://doi.org/10.1186/gb-2006-7-2-r10

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free