• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在微小RNA高通量实验中,靶基因表达水平以及转染的和内源性微小RNA之间的竞争是很强的混杂因素。

Target gene expression levels and competition between transfected and endogenous microRNAs are strong confounding factors in microRNA high-throughput experiments.

作者信息

Saito Takaya, Sætrom Pål

机构信息

Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Prinsesse Kristinsgt, 1, NO-7491 Trondheim, Norway.

出版信息

Silence. 2012 Feb 10;3:3. doi: 10.1186/1758-907X-3-3.

DOI:10.1186/1758-907X-3-3
PMID:22325809
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3293725/
Abstract

BACKGROUND

MicroRNA (miRNA) target genes tend to have relatively long and conserved 3' untranslated regions (UTRs), but to what degree these characteristics contribute to miRNA targeting is poorly understood. Different high-throughput experiments have, for example, shown that miRNAs preferentially regulate genes with both short and long 3' UTRs and that target site conservation is both important and irrelevant for miRNA targeting.

RESULTS

We have analyzed several gene context-dependent features, including 3' UTR length, 3' UTR conservation, and messenger RNA (mRNA) expression levels, reported to have conflicting influence on miRNA regulation. By taking into account confounding factors such as technology-dependent experimental bias and competition between transfected and endogenous miRNAs, we show that two factors - target gene expression and competition - could explain most of the previously reported experimental differences. Moreover, we find that these and other target site-independent features explain about the same amount of variation in target gene expression as the target site-dependent features included in the TargetScan model.

CONCLUSIONS

Our results show that it is important to consider confounding factors when interpreting miRNA high throughput experiments and urge special caution when using microarray data to compare average regulatory effects between groups of genes that have different average gene expression levels.

摘要

背景

微小RNA(miRNA)的靶基因往往具有相对较长且保守的3'非翻译区(UTR),但这些特征在多大程度上有助于miRNA靶向作用尚不清楚。例如,不同的高通量实验表明,miRNA既优先调控具有短3'UTR的基因,也优先调控具有长3'UTR的基因,并且靶位点保守性对于miRNA靶向作用既重要又无关紧要。

结果

我们分析了几个基因背景相关特征,包括3'UTR长度、3'UTR保守性以及信使核糖核酸(mRNA)表达水平,据报道这些特征对miRNA调控有相互矛盾的影响。通过考虑诸如技术依赖性实验偏差以及转染的miRNA与内源性miRNA之间的竞争等混杂因素,我们发现两个因素——靶基因表达和竞争——可以解释大多数先前报道的实验差异。此外,我们发现这些以及其他与靶位点无关的特征所解释的靶基因表达变异量与TargetScan模型中包含的与靶位点有关的特征所解释的变异量大致相同。

结论

我们的结果表明,在解释miRNA高通量实验时考虑混杂因素很重要,并且在使用微阵列数据比较具有不同平均基因表达水平的基因组之间的平均调控效应时要特别谨慎。

相似文献

1
Target gene expression levels and competition between transfected and endogenous microRNAs are strong confounding factors in microRNA high-throughput experiments.在微小RNA高通量实验中,靶基因表达水平以及转染的和内源性微小RNA之间的竞争是很强的混杂因素。
Silence. 2012 Feb 10;3:3. doi: 10.1186/1758-907X-3-3.
2
New class of microRNA targets containing simultaneous 5'-UTR and 3'-UTR interaction sites.包含同时具有 5'-非翻译区和 3'-非翻译区相互作用位点的新型微小RNA靶标。
Genome Res. 2009 Jul;19(7):1175-83. doi: 10.1101/gr.089367.108. Epub 2009 Mar 31.
3
The roles of binding site arrangement and combinatorial targeting in microRNA repression of gene expression.结合位点排列和组合靶向在微小RNA对基因表达的抑制作用中的角色。
Genome Biol. 2007;8(8):R166. doi: 10.1186/gb-2007-8-8-r166.
4
Unified translation repression mechanism for microRNAs and upstream AUGs.miRNAs 和上游 AUG 统一的翻译抑制机制。
BMC Genomics. 2010 Mar 5;11:155. doi: 10.1186/1471-2164-11-155.
5
Molecular architecture of a miRNA-regulated 3' UTR.微小RNA调控的3'非翻译区的分子结构
RNA. 2008 Jul;14(7):1297-317. doi: 10.1261/rna.1082708. Epub 2008 May 7.
6
Most mammalian mRNAs are conserved targets of microRNAs.大多数哺乳动物的信使核糖核酸是微小核糖核酸的保守靶标。
Genome Res. 2009 Jan;19(1):92-105. doi: 10.1101/gr.082701.108. Epub 2008 Oct 27.
7
Type 2 diabetes mellitus-related genetic polymorphisms in microRNAs and microRNA target sites.2型糖尿病相关的微小RNA及其靶位点的基因多态性
J Diabetes. 2014 Jul;6(4):279-89. doi: 10.1111/1753-0407.12143. Epub 2014 Apr 15.
8
The Limitations of Existing Approaches in Improving MicroRNA Target Prediction Accuracy.现有方法在提高微小RNA靶标预测准确性方面的局限性。
Methods Mol Biol. 2017;1617:133-158. doi: 10.1007/978-1-4939-7046-9_10.
9
An in silico analysis of dynamic changes in microRNA expression profiles in stepwise development of nasopharyngeal carcinoma.鼻咽癌逐步发展过程中 miRNA 表达谱动态变化的计算机分析。
BMC Med Genomics. 2012 Jan 19;5:3. doi: 10.1186/1755-8794-5-3.
10
Analysis of microRNA-target interactions by a target structure based hybridization model.基于靶标结构的杂交模型分析微小RNA-靶标相互作用
Pac Symp Biocomput. 2008:64-74.

引用本文的文献

1
Dual Role of microRNA-146a in Experimental Inflammation in Human Pulmonary Epithelial and Immune Cells and Expression in Inflammatory Lung Diseases.miR-146a 在人类肺上皮细胞和免疫细胞实验性炎症中的双重作用及其在炎症性肺病中的表达。
Int J Mol Sci. 2024 Jul 13;25(14):7686. doi: 10.3390/ijms25147686.
2
Advanced computational predictive models of miRNA-mRNA interaction efficiency.miRNA与mRNA相互作用效率的高级计算预测模型。
Comput Struct Biotechnol J. 2024 Apr 19;23:1740-1754. doi: 10.1016/j.csbj.2024.04.015. eCollection 2024 Dec.
3
SeedMatchR: identify off-target effects mediated by siRNA seed regions in RNA-seq experiments.

本文引用的文献

1
Evaluation of sensitivity, performance and reproducibility of microarray technology in neuronal tissue.评估微阵列技术在神经元组织中的灵敏度、性能和重现性。
Integr Comp Biol. 2003 Dec;43(6):780-5. doi: 10.1093/icb/43.6.780.
2
MicroRNA transfection and AGO-bound CLIP-seq data sets reveal distinct determinants of miRNA action.miRNA 转染和 AGO 结合 CLIP-seq 数据集揭示了 miRNA 作用的不同决定因素。
RNA. 2011 May;17(5):820-34. doi: 10.1261/rna.2387911. Epub 2011 Mar 9.
3
A two-step site and mRNA-level model for predicting microRNA targets.
SeedMatchR:在 RNA-seq 实验中鉴定由 siRNA 种子区域介导的脱靶效应。
Bioinformatics. 2024 Jan 2;40(1). doi: 10.1093/bioinformatics/btae011.
4
Transcriptome-wide analysis reveals insight into tumor suppressor functions of 1B3, a novel synthetic miR-193a-3p mimic.全转录组分析揭示了新型合成miR-193a-3p模拟物1B3的肿瘤抑制功能。
Mol Ther Nucleic Acids. 2021 Jan 26;23:1161-1171. doi: 10.1016/j.omtn.2021.01.020. eCollection 2021 Mar 5.
5
Integrated analysis of directly captured microRNA targets reveals the impact of microRNAs on mammalian transcriptome.直接捕获 microRNA 靶标的综合分析揭示了 microRNA 对哺乳动物转录组的影响。
RNA. 2020 Mar;26(3):306-323. doi: 10.1261/rna.073635.119. Epub 2020 Jan 3.
6
MiR-20b Down-Regulates Intestinal Ferroportin Expression In Vitro and In Vivo.miR-20b 体外和体内下调肠道铁蛋白表达。
Cells. 2019 Sep 24;8(10):1135. doi: 10.3390/cells8101135.
7
Weighted elastic net for unsupervised domain adaptation with application to age prediction from DNA methylation data.基于加权弹性网络的无监督领域自适应及其在 DNA 甲基化数据年龄预测中的应用。
Bioinformatics. 2019 Jul 15;35(14):i154-i163. doi: 10.1093/bioinformatics/btz338.
8
A descriptive guide for absolute quantification of produced shRNA pseudotyped lentiviral particles by real-time PCR.
J Biol Methods. 2016 Oct 4;3(4):e55. doi: 10.14440/jbm.2016.142. eCollection 2016.
9
Identification and Functional Verification of MicroRNA-16 Family Targeting Intestinal Divalent Metal Transporter 1 (DMT1) and .靶向肠二价金属转运蛋白1(DMT1)的微小RNA-16家族的鉴定与功能验证 以及
Front Physiol. 2019 Jun 27;10:819. doi: 10.3389/fphys.2019.00819. eCollection 2019.
10
A mathematical model as a tool to identify microRNAs with highest impact on transcriptome changes.作为一种工具的数学模型,用于识别对转录组变化影响最大的 microRNAs。
BMC Genomics. 2019 Feb 6;20(1):114. doi: 10.1186/s12864-019-5464-0.
一种两步法的 miRNA 靶点预测的靶位点和 mRNA 水平模型。
BMC Bioinformatics. 2010 Dec 31;11:612. doi: 10.1186/1471-2105-11-612.
4
mRNA turnover rate limits siRNA and microRNA efficacy.mRNA 周转率限制了 siRNA 和 microRNA 的功效。
Mol Syst Biol. 2010 Nov 16;6:433. doi: 10.1038/msb.2010.89.
5
Mammalian microRNAs predominantly act to decrease target mRNA levels.哺乳动物的 microRNAs 主要作用是降低靶 mRNA 水平。
Nature. 2010 Aug 12;466(7308):835-40. doi: 10.1038/nature09267.
6
Target mRNA abundance dilutes microRNA and siRNA activity.靶 mRNA 丰度使 microRNA 和 siRNA 活性降低。
Mol Syst Biol. 2010 Apr 20;6:363. doi: 10.1038/msb.2010.24.
7
Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.通过 PAR-CLIP 技术在转录组范围内鉴定 RNA 结合蛋白和 microRNA 的靶位。
Cell. 2010 Apr 2;141(1):129-41. doi: 10.1016/j.cell.2010.03.009.
8
Relative contribution of sequence and structure features to the mRNA binding of Argonaute/EIF2C-miRNA complexes and the degradation of miRNA targets.Argonaute/EIF2C- miRNA 复合物与 miRNA 靶标降解的 mRNA 结合中序列和结构特征的相对贡献。
Genome Res. 2009 Nov;19(11):2009-20. doi: 10.1101/gr.091181.109. Epub 2009 Sep 18.
9
Causes and consequences of microRNA dysregulation in cancer.癌症中微小RNA失调的原因及后果。
Nat Rev Genet. 2009 Oct;10(10):704-14. doi: 10.1038/nrg2634.
10
Immunopurification of Ago1 miRNPs selects for a distinct class of microRNA targets.Ago1微小RNA核蛋白复合物的免疫纯化筛选出一类独特的微小RNA靶标。
Proc Natl Acad Sci U S A. 2009 Sep 1;106(35):15085-90. doi: 10.1073/pnas.0908149106. Epub 2009 Aug 18.