High-Throughput Sequencing of microRNAs in Glucocorticoid Sensitive Paediatric Inflammatory Bowel Disease Patients.
High-Throughput Sequencing of microRNAs in Glucocorticoid Sensitive Paediatric Inflammatory Bowel Disease Patients.
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DOI:
10.3390/ijms19051399
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发表时间:
2018-05-08
影响因子:
5.6
通讯作者:
Decorti G
中科院分区:
文献类型:
--
作者:
De Iudicibus S;Lucafò M;Vitulo N;Martelossi S;Zimbello R;De Pascale F;Forcato C;Naviglio S;Di Silvestre A;Gerdol M;Stocco G;Valle G;Ventura A;Bramuzzo M;Decorti G
The aim of this research was the identification of novel pharmacogenomic biomarkers for better understanding the complex gene regulation mechanisms underpinning glucocorticoid (GC) action in paediatric inflammatory bowel disease (IBD). This goal was achieved by evaluating high-throughput microRNA (miRNA) profiles during GC treatment, integrated with the assessment of expression changes in GC receptor (GR) heterocomplex genes. Furthermore, we tested the hypothesis that differentially expressed miRNAs could be directly regulated by GCs through investigating the presence of GC responsive elements (GREs) in their gene promoters. Ten IBD paediatric patients responding to GCs were enrolled. Peripheral blood was obtained at diagnosis (T0) and after four weeks of steroid treatment (T4). MicroRNA profiles were analyzed using next generation sequencing, and selected significantly differentially expressed miRNAs were validated by quantitative reverse transcription-polymerase chain reaction. In detail, 18 miRNAs were differentially expressed from T0 to T4, 16 of which were upregulated and 2 of which were downregulated. Out of these, three miRNAs (miR-144, miR-142, and miR-96) could putatively recognize the 3’UTR of the GR gene and three miRNAs (miR-363, miR-96, miR-142) contained GREs sequences, thereby potentially enabling direct regulation by the GR. In conclusion, we identified miRNAs differently expressed during GC treatment and miRNAs which could be directly regulated by GCs in blood cells of young IBD patients. These results could represent a first step towards their translation as pharmacogenomic biomarkers.
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DOI:
10.1093/bioinformatics/btr064
发表时间:
2011-04-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Grant CE;Bailey TL;Noble WS
通讯作者:
Noble WS
影响因子:
64.5
作者:
Hafner M;Landthaler M;Burger L;Khorshid M;Hausser J;Berninger P;Rothballer A;Ascano M Jr;Jungkamp AC;Munschauer M;Ulrich A;Wardle GS;Dewell S;Zavolan M;Tuschl T
通讯作者:
Tuschl T
影响因子:
7.6
作者:
Raddatz, D;Middel, P;Ramadori, G
通讯作者:
Ramadori, G
影响因子:
3
作者:
Risso D;Schwartz K;Sherlock G;Dudoit S
通讯作者:
Dudoit S
影响因子:
14.9
作者:
Hsu SD;Tseng YT;Shrestha S;Lin YL;Khaleel A;Chou CH;Chu CF;Huang HY;Lin CM;Ho SY;Jian TY;Lin FM;Chang TH;Weng SL;Liao KW;Liao IE;Liu CC;Huang HD
通讯作者:
Huang HD