We are sorry, but NCBI web applications do not support your browser and may not function properly. More information

Results: 4

1.
Figure 4

Figure 4. From: Microarray analysis of distinct gene transcription profiles in non-eosinophilic chronic sinusitis with nasal polyps.

Sinonasal polyp immunostained with antibodies against CXCL1 showing localization of the protein to the epithelial surface of the polyp and its glandular structures.

Spencer C. Payne, et al. Am J Rhinol. ;22(6):568-581.
2.
Figure 1

Figure 1. From: Microarray analysis of distinct gene transcription profiles in non-eosinophilic chronic sinusitis with nasal polyps.

Gene ontology (GO) family distribution of differentially expressed genes with absolute fold change of >1.5 and a value of p < 0.05.

Spencer C. Payne, et al. Am J Rhinol. ;22(6):568-581.
3.
Figure 3

Figure 3. From: Microarray analysis of distinct gene transcription profiles in non-eosinophilic chronic sinusitis with nasal polyps.

Comparison of protein expression in control and noneosinophilic chronic rhinosinusitis with nasal polyp (NE-CRSwNP) tissue. After surgical removal, tissue was homogenized in cell lysis buffer to extract proteins. Protein levels for the various cytokines/chemokines were determined by ELISA or Bio-plex. A further correction was made by correcting for total protein in each sample to allow comparison between control (n = 9) and NE-CRSwNP samples (n = 23).

Spencer C. Payne, et al. Am J Rhinol. ;22(6):568-581.
4.
Figure 2

Figure 2. From: Microarray analysis of distinct gene transcription profiles in non-eosinophilic chronic sinusitis with nasal polyps.

Reverse-transcription polymerase chain reaction fold change of selected genes represented 2−ΔΔCt method used as described in the text to linearize the fold change. Because of significantly greater up-regulation of novel genes ABCB11 and CXCL1, the y-axis is a 10 base logarithmic scale. Fold change values <1 represent a down-regulation of the gene, as what would be represented by a negative fold change in the microarray data. Studied genes are broken down into those that have been previously known to be involved in nasal inflammation and polyps and those novel genes identified through this study.

Spencer C. Payne, et al. Am J Rhinol. ;22(6):568-581.

Supplemental Content

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Write to the Help Desk