Comprehensive Gene and microRNA Expression Profiling Reveals a Role for microRNAs in Human Liver Development

作者
Galit Tzur,Ariel Israel,Asaf Levy,Hila Benjamin,Eti Meiri,Yoel Shufaro,Karen Meir,Elina Zorde Khvalevsky,Yael Spector,Nathan Rojansky,Zvi Bentwich,Benjamin Reubinoff,Eithan Galun
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:4 (10): e7511-e7511 被引量:115
标识
DOI:10.1371/journal.pone.0007511
摘要

BACKGROUND AND AIMS: microRNAs (miRNAs) are small noncoding RNAs that regulate cognate mRNAs post-transcriptionally. miRNAs have been implicated in regulating gene expression in embryonic developmental processes, including proliferation and differentiation. The liver is a multifunctional organ, which undergoes rapid changes during the developmental period and relies on tightly-regulated gene expression. Little is known regarding the complex expression patterns of both mRNAs and miRNAs during the early stages of human liver development, and the role of miRNAs in the regulation of this process has not been studied. The aim of this work was to study the impact of miRNAs on gene expression during early human liver development. METHODS: Global gene and miRNA expression were profiled in adult and in 9-12w human embryonic livers, using high-density microarrays and quantitative RT-PCR. RESULTS: Embryonic liver samples exhibited a gene expression profile that differentiated upon progression in the developmental process, and revealed multiple regulated genes. miRNA expression profiling revealed four major expression patterns that correlated with the known function of regulated miRNAs. Comparison of the expression of the most regulated miRNAs to that of their putative targets using a novel algorithm revealed a significant anti-correlation for several miRNAs, and identified the most active miRNAs in embryonic and in adult liver. Furthermore, our algorithm facilitated the identification of TGFbeta-R1 as a novel target gene of let-7. CONCLUSIONS: Our results uncover multiple regulated miRNAs and genes throughout human liver development, and our algorithm assists in identification of novel miRNA targets with potential roles in liver development.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
ZW发布了新的文献求助10
1秒前
打打应助李诗尧采纳,获得10
2秒前
weibo完成签到,获得积分10
2秒前
2秒前
王斌伟完成签到 ,获得积分10
2秒前
打打应助577采纳,获得10
3秒前
cc完成签到 ,获得积分10
4秒前
5秒前
在水一方应助yiyi采纳,获得10
7秒前
8秒前
石先敏发布了新的文献求助10
9秒前
9秒前
11秒前
XU发布了新的文献求助10
12秒前
Jasmine关注了科研通微信公众号
14秒前
14秒前
伟先生发布了新的文献求助10
16秒前
悦耳安寒发布了新的文献求助10
16秒前
11完成签到,获得积分10
18秒前
18秒前
晨儿完成签到 ,获得积分10
19秒前
上帝掷骰子完成签到,获得积分10
20秒前
易拉罐完成签到,获得积分10
22秒前
weibo驳回了华仔应助
22秒前
123321发布了新的文献求助10
23秒前
23秒前
情怀应助默默书本采纳,获得10
23秒前
小蘑菇应助机智的书雪采纳,获得10
23秒前
梁蕊完成签到,获得积分10
24秒前
22336应助joying采纳,获得20
25秒前
星辰大海应助Bin_Liu采纳,获得10
25秒前
Tingjiang完成签到,获得积分10
27秒前
小蘑菇应助ZJ采纳,获得10
27秒前
TOT完成签到,获得积分10
27秒前
友好亿先完成签到,获得积分10
27秒前
永远少年完成签到,获得积分10
28秒前
abbpww发布了新的文献求助10
29秒前
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7587602
求助须知:如何正确求助?哪些是违规求助? 9165964
关于积分的说明 19617126
捐赠科研通 7167928
什么是DOI,文献DOI怎么找? 3266920
关于科研通互助平台的介绍 2431831
邀请新用户注册赠送积分活动 2258793