Ultra-deep sequencing reveals the microRNA expression pattern of the human stomach.
Ultra-deep sequencing reveals the microRNA expression pattern of the human stomach.
复制标题
DOI：
10.1371/journal.pone.0013205
复制
发表时间：
2010-10-08
期刊：
影响因子：
3.7
通讯作者：
Darnet S
中科院分区：
文献类型：
--
作者：
Ribeiro-dos-Santos Â;Khayat AS;Silva A;Alencar DO;Lobato J;Luz L;Pinheiro DG;Varuzza L;Assumpção M;Assumpção P;Santos S;Zanette DL;Silva WA Jr;Burbano R;Darnet S
虽然microrna （miRNAs）在组织分化和维持基础生理方面发挥着重要作用，但对胃组织中miRNA的表达水平知之甚少。miRNA谱的改变可导致细胞失调，从而诱发肿瘤。采用高通量SOLiD测序技术对胃组织小RNA文库进行测序。我们获得了261,274个与人类mirna完美匹配的高质量reads，并鉴定了42%的已知mirna。基于reads丰度进行数字基因表达谱分析（DGE），结果显示15个mirna在胃组织中高表达。随后，通过RT-PCR在10个健康个体中验证了这些mirna的表达，结果显示相关性为83.97% （P<0.05）。6种mirna表现出低可变表达模式（miR-29b、miR-29c、miR-19b、miR-31、miR-148a、miR-451），可以认为是健康胃组织表达模式的一部分。本研究旨在验证人类胃组织的正常miRNA谱，为健康个体建立参考谱。确定胃中的调节过程对对抗胃癌至关重要，胃癌是全球癌症死亡的第二大原因。
While microRNAs (miRNAs) play important roles in tissue differentiation and in maintaining basal physiology, little is known about the miRNA expression levels in stomach tissue. Alterations in the miRNA profile can lead to cell deregulation, which can induce neoplasia. A small RNA library of stomach tissue was sequenced using high-throughput SOLiD sequencing technology. We obtained 261,274 quality reads with perfect matches to the human miRnome, and 42% of known miRNAs were identified. Digital Gene Expression profiling (DGE) was performed based on read abundance and showed that fifteen miRNAs were highly expressed in gastric tissue. Subsequently, the expression of these miRNAs was validated in 10 healthy individuals by RT-PCR showed a significant correlation of 83.97% (P<0.05). Six miRNAs showed a low variable pattern of expression (miR-29b, miR-29c, miR-19b, miR-31, miR-148a, miR-451) and could be considered part of the expression pattern of the healthy gastric tissue. This study aimed to validate normal miRNA profiles of human gastric tissue to establish a reference profile for healthy individuals. Determining the regulatory processes acting in the stomach will be important in the fight against gastric cancer, which is the second-leading cause of cancer mortality worldwide.
登录
查看更多内容
DOI：
10.1093/bioinformatics/btp486
发表时间：
2009-10-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Chen Y;Souaiaia T;Chen T
通讯作者：
Chen T
影响因子：
7.7
作者：
Fischbach, W.;Malfertheiner, P.;Koletzko, S.
通讯作者：
Koletzko, S.
影响因子：
14.9
作者：
Betel D;Wilson M;Gabow A;Marks DS;Sander C
通讯作者：
Sander C
影响因子：
14.9
作者：
Griffiths-Jones S;Grocock RJ;van Dongen S;Bateman A;Enright AJ
通讯作者：
Enright AJ
DOI：
10.1073/pnas.0404432101
发表时间：
2004-08-10
影响因子：
11.1
作者：
Calin, GA;Liu, CG;Croce, CM
通讯作者：
Croce, CM