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Further reading and references

; Moraxella catarrhalis - pathogen or commensal? Adv Exp Med Biol. 2011697:107-16.

; Prevalence and resistance pattern of Moraxella catarrhalis in community-acquired lower respiratory tract infections. Infect Drug Resist. 2015 Jul 318:263-7. doi: 10.2147/IDR.S84209. eCollection 2015.

; Vaccine targets against Moraxella catarrhalis. Expert Opin Ther Targets. 2015 Aug 23:1-15.

; Characterization of the molecular interplay between Moraxella catarrhalis and human respiratory tract epithelial cells. PLoS One. 2013 Aug 68(8):e72193. doi: 10.1371/journal.pone.0072193. Print 2013.

; Population density profiles of nasopharyngeal carriage of five bacterial species in pre-school children measured using quantitative PCR offer potential insights into the dynamics of transmission. Hum Vaccin Immunother. 2015 Sep 14:0.

; Evaluation of swabbing methods for estimating the prevalence of bacterial carriage in the upper respiratory tract: a cross sectional study. BMJ Open. 2014 Oct 304(10):e005341. doi: 10.1136/bmjopen-2014-005341.

; Bacterial pathogens in the nasopharynx, nasal cavity, and osteomeatal complex during wellness and viral infection. Am J Rhinol Allergy. 2013 Jan27(1):39-42. doi: 10.2500/ajra.2013.27.3835.

; Moraxella catarrhalis: from emerging to established pathogen. Clin Microbiol Rev. 2002 Jan15(1):125-44.

; Molecular mechanisms of moraxella catarrhalis-induced otitis media. Curr Allergy Asthma Rep. 2013 Oct13(5):512-7. doi: 10.1007/s11882-013-0374-8.

; Genetic analysis of a pediatric clinical isolate of Moraxella catarrhalis with resistance to macrolides and quinolones. J Infect Chemother. 2015 Apr21(4):308-11. doi: 10.1016/j.jiac.2014.11.002. Epub 2014 Nov 14.

; Ceftaroline in the management of complicated skin and soft tissue infections and community acquired pneumonia. Ther Clin Risk Manag. 2015 Apr 711:565-79. doi: 10.2147/TCRM.S75412. eCollection 2015.

Hi All, I dont know if anyone has come across this. I have a worm infestation in my face. They travel around under the skin leaving tracks and bursting holes into my skin. they create glass like...

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21 December 2020 1587 (v23) Dr Adrian Bonsall

Disclaimer: This article is for information only and should not be used for the diagnosis or treatment of medical conditions. Patient Platform Limited has used all reasonable care in compiling the information but make no warranty as to its accuracy. Consult a doctor or other health care professional for diagnosis and treatment of medical conditions. For details see our conditions .

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All the best flight modes and safety features, heavy lifting with multiple camera options and configurations. We’re talking about mounting a camera on top to face upward, for things like bridge inspection. We’re also talking about hanging two cameras on the bottom, to shoot infrared and high-zoom at the same time. Sound hard to operate, no worries, one pilot can control the cameras while the second controls the drone through the dedicated FPV camera, just like the Inspire 2.

This may be priced out of range for most of us, but as far as commercial use goes, this drone is as sleek, powerful and feature rich as we’ve seen yet.

Learn all about the DJI M200 series drones here.

We are falling in love with drones, and we hope you are too. From the starter toy drones all the way up to multi-thousand dollar rigs , we will keep you in the loop, check back for updates to this list as new and exciting drones hit the market.

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Hey guys, this is Jonathan Feist. As a little history, I have been an enthusiast of flight for many years. My youthful enthusiasm matured into something real when I began studying government issued Aviation Training material in 2007, eager to get my private pilot’s license, or better yet, to become a helicopter pilot. I flew my first real life airplane in 2009, the little Cessna you see above. (Thank you again, Ethan!) Sadly, that was also my last time at the helm of a passenger aircraft, for now.

View larger version:
FIG. 2.

Effect of 50 mM coaggregation inhibitors on autoaggregation. cells were incubated in SDM containing 25% saliva and several different coaggregation inhibitors. The samples from left to right are as follows: water, lactose, galactose, arginine, and lysine. The results presented here are the averages of three independent samples. This experiment was performed two times, with similar results each time.

View larger version:
FIG. 3.

Effect of lysine concentration on autoaggregation. cells were incubated in SDM containing a range of lysine concentrations and measured for OD every 10 min. The lysine concentrations are as follows: squares, 0 mM; triangles, 6.25 mM; asterisks, 12.5 mM; circles, 25 mM; and crosses, 50 mM. The results presented here are the averages of three independent samples. This experiment was performed three times, with similar results each time.

Transcriptome analysis of planktonic versus aggregated cells. Given the strong propensity for 25586 to aggregate under the conditions of our assay, our next goal was to determine whether aggregation would elicit any gene responses from the cells. For this purpose, we decided to take a microarray approach to measure the effect of intraspecies cell aggregation upon the transcriptome. Since saliva could induce aggregation and lysine could inhibit it, we could take two potential microarray approaches (Fig. 4 ). We could either measure the transcriptome of cells incubated in (condition 1) SDM plus saliva (aggregation) versus SDM (planktonic) or (condition 2) SDM plus saliva (aggregation) versus SDM plus saliva plus lysine (planktonic). However, both approaches had the potential drawback of measuring gene responses to aggregation, as well as differences in medium composition (i.e., saliva for the first approach or lysine in the second approach). In order to circumvent this limitation, we decided to assay both conditions (condition 1 [+/− saliva] and condition 2 [saliva +/− lysine]). We reasoned that if aggregation elicited a specific and reproducible genetic response, then both microarray approaches should yield a shared geneset, since aggregation would occur in both approaches (Fig. 5 ). In contrast, responsive genes that were uniquely affected in either experiment were most likely attributable to factors other than aggregation, such as differences in medium composition (Fig. 4 ). Thus, we compared the results from the two microarray experiments using a cutoff value of a ≥2-fold change and were able to identify 96 genes with similar responses in both experiments. In microarray condition 1, this left 51 gene responses that were unlike those of microarray condition 2 and 73 responses in condition 2 that were dissimilar to microarray condition 1 (Fig. 4 ). From these results, we concluded that the 96 genes similarly affected in both experiments were most likely to be specifically responsive to aggregation, whereas the 51 and 73 unique gene responses in microarray conditions 1 and 2 were probably due to other factors. Consequently, we focused our analysis on the shared geneset of 96 genes. From this group of genes, 54 exhibited changes of ≥3-fold. Interestingly, the vast majority of the 96 aggregation-specific genes were upregulated, while only four genes were downregulated. This result is consistent with the activation of a genetic program. Although we did not detect changes in the transcription of any putative sigma factors, we did identify three putative transcription regulators that were induced, FN0795, FN1439, and FN1803, which may account for some of the observed gene expression changes in the list (Table Efrem vest Chervo Cheap Pick A Best Clearance Footaction Discount Cost HEuqh
). FN1803 was particularly interesting because its microarray signal intensity in the dispersed samples was quite weak, much lower than FN0795 and approximately half that of FN1439 (see Table S1 in the supplemental material). FN1803 also exhibited the greatest increase in expression due to aggregation (three- to fivefold).

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