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• W2174348457 abstract "Abstract Background Hirschsprung's disease ( HSCR ) is one of the common digestive disorders in the new born. Long non‐coding RNA s (lnc RNA s) play an important role in various biological processes. However, knowledge on lnc RNA s in HSCR is limited. Methods The expression profile of lnc RNA s in HSCR was obtained using microarray. A total of 2078 differentially expressed lnc RNA s were detected by microarray in HSCR tissues compared with matched normal colon tissues (fold change ≥2, p < 0.05). Candidate biomarkers were selected from these differentially expressed lnc RNA s based on artificial criterion (raw signal intensity ≥50; fold change ≥8) and then validated in 80 pairs of HSCR and normal tissues using quantitative real‐time polymerase chain reaction ( qRT ‐ PCR ). Moreover, the computational analysis was used to evaluate the lnc RNA ‐micro RNA and lnc RNA –protein relationships. Key Results A panel of 5‐lnc RNA s was identified to distinguish HSCR from normal tissues with remarkable sensitivity and specificity. The area under the receiver operating characteristic curve ( AUC ) for HSCR identification in the validation set was 0.875. The bioinformatics analysis reveals that these dysregulated lnc RNA s are mainly involved in RNA –protein relationships, including RNA splicing, binding, transport, processing, and localization. Conclusions & Inferences Our results are the first to report the expression profile of dysregulated lnc RNA s in HSCR and infer that lnc RNA s may serve as novel diagnostic biomarkers for HSCR ." @default.
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• W2174348457 date "2015-11-17" @default.
• W2174348457 modified "2023-10-14" @default.
• W2174348457 title "Microarray expression profiling of dysregulated long non-coding RNAs in Hirschsprung's disease reveals their potential role in molecular diagnosis" @default.
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• W2174348457 doi "https://doi.org/10.1111/nmo.12722" @default.
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