KMID : 0191120170320050817
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Journal of Korean Medical Science 2017 Volume.32 No. 5 p.817 ~ p.824
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RNA-Seq for Gene Expression Profiling of Human Necrotizing Enterocolitis: a Pilot Study
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Jung Kyu-Whan
Koh In-Song Kim Jeong-Hyun Cheong Hyun-Sub Park Tae-Jin Nam So-Hyun Jung Soo-Min Sio Cherry Ann Kim Su-Yeong Jung Eui-Seok Lee Byoung-Kook Kim Hye-Rim Shin Eun Jung Sung-Eun Choi Chang-Won Kim Beyong-Il Jung Eun-Young Shin Hyoung-Doo
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Abstract
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Necrotizing enterocolitis (NEC) characterized by inflammatory intestinal necrosis is a major cause of mortality and morbidity in newborns. Deep RNA sequencing (RNA-Seq) has recently emerged as a powerful technology enabling better quantification of gene expression than microarrays with a lower background signal. A total of 10 transcriptomes from 5 pairs of NEC lesions and adjacent normal tissues obtained from preterm infants with NEC were analyzed. As a result, a total of 65 genes (57 down-regulated and 8 up-regulated) revealed significantly different expression levels in the NEC lesion compared to the adjacent normal region, based on a significance at fold change ¡Ã 1.5 and P ¡Â 0.05. The most significant gene, DPF3 (P < 0.001), has recently been reported to have differential expressions in colon segments. Our gene ontology analysis between NEC lesion and adjacent normal tissues showed that down-regulated genes were included in nervous system development with the most significance (P = 9.3 ¡¿ 10?7; Pcorr = 0.0003). In further pathway analysis using Pathway Express based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, genes involved in thyroid cancer and axon guidance were predicted to be associated with different expression (Pcorr = 0.008 and 0.020, respectively). Although further replications using a larger sample size and functional evaluations are needed, our results suggest that altered gene expression and the genes' involved functional pathways and categories may provide insight into NEC development and aid in future research.
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KEYWORD
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Necrotizing Enterocolitis, RNA-Seq, Gene Expression
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