Literature DB >> 19861428

Absolute quantification of microRNAs by using a universal reference.

Ute Bissels1, Stefan Wild, Stefan Tomiuk, Angela Holste, Markus Hafner, Thomas Tuschl, Andreas Bosio.   

Abstract

MicroRNAs (miRNAs) are a species of small RNAs approximately 21-23-nucleotides long that have been shown to play an important role in many different cellular, developmental, and physiological processes. Accordingly, numerous PCR-, sequencing-, or hybridization-based methods have been established to identify and quantify miRNAs. Their short length results in a high dynamic range of melting temperatures and therefore impedes a proper selection of detection probes or optimized PCR primers. While miRNA microarrays allow for massive parallel and accurate relative measurement of all known miRNAs, they have so far been less useful as an assay for absolute quantification. Here, we present a microarray-based approach for global and absolute quantification of miRNAs. The method relies on the parallel hybridization of the sample of interest labeled with Cy5 and a universal reference of 954 synthetic miRNAs in equimolar concentrations that are labeled with Cy3 on a microarray slide containing probes for all human, mouse, rat, and viral miRNAs (miRBase 12.0). Each single miRNA is quantified with respect to the universal reference canceling biases related to sequence, labeling, or hybridization. We demonstrate the accuracy of the method by various spike-in experiments. Furthermore, we quantified miRNA copy numbers in liver samples and CD34(+)/CD133(-) hematopoietic progenitor cells.

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Year:  2009        PMID: 19861428      PMCID: PMC2779673          DOI: 10.1261/rna.1754109

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  41 in total

1.  TM4: a free, open-source system for microarray data management and analysis.

Authors:  A I Saeed; V Sharov; J White; J Li; W Liang; N Bhagabati; J Braisted; M Klapa; T Currier; M Thiagarajan; A Sturn; M Snuffin; A Rezantsev; D Popov; A Ryltsov; E Kostukovich; I Borisovsky; Z Liu; A Vinsavich; V Trush; J Quackenbush
Journal:  Biotechniques       Date:  2003-02       Impact factor: 1.993

2.  Absolute mRNA concentrations from sequence-specific calibration of oligonucleotide arrays.

Authors:  Doeke Hekstra; Alexander R Taussig; Marcelo Magnasco; Felix Naef
Journal:  Nucleic Acids Res       Date:  2003-04-01       Impact factor: 16.971

3.  Prioritized selection of oligodeoxyribonucleotide probes for efficient hybridization to RNA transcripts.

Authors:  Kevin J Luebke; Robert P Balog; Harold R Garner
Journal:  Nucleic Acids Res       Date:  2003-01-15       Impact factor: 16.971

4.  Simple, quantitative primer-extension PCR assay for direct monitoring of microRNAs and short-interfering RNAs.

Authors:  Christopher K Raymond; Brian S Roberts; Phillip Garrett-Engele; Lee P Lim; Jason M Johnson
Journal:  RNA       Date:  2005-11       Impact factor: 4.942

5.  Silencing of microRNAs in vivo with 'antagomirs'.

Authors:  Jan Krützfeldt; Nikolaus Rajewsky; Ravi Braich; Kallanthottathil G Rajeev; Thomas Tuschl; Muthiah Manoharan; Markus Stoffel
Journal:  Nature       Date:  2005-10-30       Impact factor: 49.962

Review 6.  Identification and characterization of small RNAs involved in RNA silencing.

Authors:  Alexei Aravin; Thomas Tuschl
Journal:  FEBS Lett       Date:  2005-08-18       Impact factor: 4.124

7.  Cell-cell contact globally activates microRNA biogenesis.

Authors:  Hun-Way Hwang; Erik A Wentzel; Joshua T Mendell
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-09       Impact factor: 11.205

8.  Real-time quantification of microRNAs by stem-loop RT-PCR.

Authors:  Caifu Chen; Dana A Ridzon; Adam J Broomer; Zhaohui Zhou; Danny H Lee; Julie T Nguyen; Maura Barbisin; Nan Lan Xu; Vikram R Mahuvakar; Mark R Andersen; Kai Qin Lao; Kenneth J Livak; Karl J Guegler
Journal:  Nucleic Acids Res       Date:  2005-11-27       Impact factor: 16.971

9.  Genome-wide estimation of transcript concentrations from spotted cDNA microarray data.

Authors:  Arnoldo Frigessi; Mark A van de Wiel; Marit Holden; Debbie H Svendsrud; Ingrid K Glad; Heidi Lyng
Journal:  Nucleic Acids Res       Date:  2005-10-04       Impact factor: 16.971

10.  Transcript copy number estimation using a mouse whole-genome oligonucleotide microarray.

Authors:  Mark G Carter; Alexei A Sharov; Vincent VanBuren; Dawood B Dudekula; Condie E Carmack; Charlie Nelson; Minoru S H Ko
Journal:  Genome Biol       Date:  2005-06-30       Impact factor: 13.583

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  86 in total

1.  Exogenous plant MIR168a specifically targets mammalian LDLRAP1: evidence of cross-kingdom regulation by microRNA.

Authors:  Lin Zhang; Dongxia Hou; Xi Chen; Donghai Li; Lingyun Zhu; Yujing Zhang; Jing Li; Zhen Bian; Xiangying Liang; Xing Cai; Yuan Yin; Cheng Wang; Tianfu Zhang; Dihan Zhu; Dianmu Zhang; Jie Xu; Qun Chen; Yi Ba; Jing Liu; Qiang Wang; Jianqun Chen; Jin Wang; Meng Wang; Qipeng Zhang; Junfeng Zhang; Ke Zen; Chen-Yu Zhang
Journal:  Cell Res       Date:  2011-09-20       Impact factor: 25.617

Review 2.  MicroRNAs are shaping the hematopoietic landscape.

Authors:  Ute Bissels; Andreas Bosio; Wolfgang Wagner
Journal:  Haematologica       Date:  2011-11-04       Impact factor: 9.941

3.  Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression.

Authors:  Anna Git; Heidi Dvinge; Mali Salmon-Divon; Michelle Osborne; Claudia Kutter; James Hadfield; Paul Bertone; Carlos Caldas
Journal:  RNA       Date:  2010-04-01       Impact factor: 4.942

4.  Rapid electronic detection of probe-specific microRNAs using thin nanopore sensors.

Authors:  Meni Wanunu; Tali Dadosh; Vishva Ray; Jingmin Jin; Larry McReynolds; Marija Drndić
Journal:  Nat Nanotechnol       Date:  2010-10-24       Impact factor: 39.213

5.  Optimization of enzymatic reaction conditions for generating representative pools of cDNA from small RNA.

Authors:  Daniela B Munafó; G Brett Robb
Journal:  RNA       Date:  2010-10-04       Impact factor: 4.942

6.  Expanding the Dynamic Range of Fluorescence Assays through Single-Molecule Counting and Intensity Calibration.

Authors:  Lucas Smith; Manish Kohli; Andrew M Smith
Journal:  J Am Chem Soc       Date:  2018-10-12       Impact factor: 15.419

7.  RNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries.

Authors:  Markus Hafner; Neil Renwick; Miguel Brown; Aleksandra Mihailović; Daniel Holoch; Carolina Lin; John T G Pena; Jeffrey D Nusbaum; Pavel Morozov; Janos Ludwig; Tolulope Ojo; Shujun Luo; Gary Schroth; Thomas Tuschl
Journal:  RNA       Date:  2011-07-20       Impact factor: 4.942

8.  Modelling and measuring intracellular competition for finite resources during gene expression.

Authors:  Renana Sabi; Tamir Tuller
Journal:  J R Soc Interface       Date:  2019-05-31       Impact factor: 4.118

Review 9.  MicroRNAs in normal and psoriatic skin.

Authors:  Jing Xia; Weixiong Zhang
Journal:  Physiol Genomics       Date:  2013-12-10       Impact factor: 3.107

Review 10.  Mini but mighty: microRNAs in the pathobiology of periodontal disease.

Authors:  Moritz Kebschull; Panos N Papapanou
Journal:  Periodontol 2000       Date:  2015-10       Impact factor: 7.589

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