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Mendeley readers
Attention Score in Context
| Title |
TLR9‐independent effects of inhibitory oligonucleotides on macrophage responses to S. typhimurium
|
|---|---|
| Published in |
Immunology & Cell Biology, December 2008
|
| DOI | 10.1038/icb.2008.95 |
| Pubmed ID | |
| Authors |
Angela Trieu, Nilesh Bokil, Jasmyn A Dunn, Tara L Roberts, Damo Xu, Foo Y Liew, David A Hume, Katryn J Stacey, Matthew J Sweet |
| Abstract |
Detection of bacterial CpG-containing DNA (CpG DNA) by innate immune cells is dependent on toll-like receptor 9 (TLR9). Here we show that the expression of tlr9 mRNA was induced in mouse bone marrow-derived macrophages (BMMs) upon infection with the facultative Gram-negative intracellular bacterium Salmonella enterica serovar Typhimurium (S. typhimurium). Treatment of BMM with the inhibitory oligonucleotide (ODN) 2114, an antagonist of TLR9 signalling, enhanced intracellular S. typhimurium numbers approximately fivefold, whereas a control ODN (2310) had no significant effect. Surprisingly, 2114 also amplified S. typhimurium bacterial loads in TLR9-deficient BMM. Indeed, 2114 suppressed responses (nuclear factor-kappaB-dependent reporter gene expression and interleukin-12p40 secretion) to not only CpG DNA, but also the TLR2 ligand Pam(3)Cys, in BMM and RAW264 cells in a sequence-specific manner. Inhibitory ODNs, which have been proposed as therapeutic agents for the treatment of systemic lupus erythematosus because of their inhibitory effects on TLR9 signalling, may thus compromise the host response to bacterial pathogens through TLR9-independent mechanisms. |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 31% |
| Student > Ph. D. Student | 3 | 19% |
| Professor > Associate Professor | 2 | 13% |
| Student > Doctoral Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 25% |
| Agricultural and Biological Sciences | 4 | 25% |
| Immunology and Microbiology | 3 | 19% |
| Medicine and Dentistry | 1 | 6% |
| Chemistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2009.
All research outputs
#17,313,103
of 25,411,814 outputs
Outputs from Immunology & Cell Biology
#1,595
of 1,850 outputs
Outputs of similar age
#152,917
of 179,804 outputs
Outputs of similar age from Immunology & Cell Biology
#4
of 4 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,850 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 179,804 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.