Skip to main content
. Author manuscript; available in PMC: 2019 Jan 1.
Published in final edited form as: J Immunol. 2018 May 16;201(1):251–263. doi: 10.4049/jimmunol.1701798

Figure 4. Genome-wide mRNA alternative splicing is dysregulated in severe asthma and adds novel information to that detected by gene expression analysis.

Figure 4

A: Heatmap showing unsupervised clustering of donors according to differentially expressed isoforms (P ≤ 0.01) in the total fraction between HC and SA. B: Dot plots (mean + standard error of the mean) representing the RT-PCR splicing assays for IRAK3 and ACBD4 skipped isoforms (HC n=5, SA n=8, left column) and their corresponding qPCR assay for aggregate gene expression (HC n=6, SA n=8, right column). RT-PCRs were quantified using an Agilent Bioanalyzer DNA microfluidic chip and % splicing calculated and plotted as %inclusion= [included isoform]/([included isoform]+[excluded isoform]). Statistics were done employing t-tests. C: Table showing 6 pathways predicted by Ingenuity Pathway Analysis for differentially expressed isoforms in the Total fraction. Statistics were done employing Fisher’s 2-tailed test. DEIs: Differentially Expressed Isoforms; HC: Healthy Control; SA: Severe Asthmatics; ns: non-significant. * P < 0.05.