GSE137413
RNA sequencing of Jejunum of WT and IL23 expression mice (KSR23)
The goal of this study is to check if elevated level of IL-23 and/or its downstream cytokines affect the gene expression in the jejunum of newborn mice. We engineered a mice strain in which the expression of IL-23 was directed to the keratinocytes (KSR23). The KSR23 mice had normal body weight at birth and much smaller than their control littermates at day 5. KSR23 mice died prematurely (before 15 days of age), but displayed no signs of disease in the skin, intestine, or in other organs examined. To investigate if elevated level of IL-23 and/or its downstreamcytokines could affect body growth, we examined the transcriptome of the the intestine, which are critical for the processing and absorption of nutrients. Jejunum mRNA profiles of 5-day-old WT and KSR23 were generated by deep sequencing. The transcriptome of the Jejunum of KSR23 mice at P5 differed significantly from that of their control littermates (WT). Several genes were differentially expressed, including IL-22, and genes that are downstream of it such as Reg3 genes and digestive enzymes also produced by the jejunum. Kegg pathway analysis of WT and KSR23 jejunum indicated that genes involved in protein digestion and absorption such as chymotrypsinogen B1 (Ctrb1), trypsinogen (Prss1), trypsin (Tyr5 and Tyr4), caboxypeptidase a1 (Cpa1) and chymotrypsin-like elastase family member 3b (Cela3b), were downregulated in the intestine of KSR23 mice. Transcriptome analysis also showed decreased expression of several genes involved in the regulation of the very low-density lipoprotein particle pathway (VLDL). These particles regulate fat and cholesterol release into the bloodstream. Together, these results indicate that systemic expression of IL-23, and other cytokines, correlated with significant transcriptional changes in genes that regulate food processing in the intestine. Overall design: Jejunum mRNA profiles of 5-day old wild type (WT) and IL23 expression mice (KSR23)  were generated by deep sequencing using Illumina Nextseq 500.