Literature DB >> 20921270

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

Daniela B Munafó1, G Brett Robb.   

Abstract

Small regulatory RNA repertoires in biological samples are heterogeneous mixtures that may include species arising from varied biosynthetic pathways and modification events. Small RNA profiling and discovery approaches ought to capture molecules in a way that is representative of expression level. It follows that the effects of RNA modifications on representation should be minimized. The collection of high-quality, representative data, therefore, will be highly dependent on bias-free sample manipulation in advance of quantification. We examined the impact of 2'-O-methylation of the 3'-terminal nucleotide of small RNA on key enzymatic reactions of standard front-end manipulation schemes. Here we report that this common modification negatively influences the representation of these small RNA species. Deficits occurred at multiple steps as determined by gel analysis of synthetic input RNA and by quantification and sequencing of derived cDNA pools. We describe methods to minimize the effects of 2'-O-methyl modification of small RNA 3'-termini using T4 RNA ligase 2 truncated, and other optimized reaction conditions, demonstrating their use by quantifying representation of miRNAs and piRNAs in cDNA pools prepared from biological samples.

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Year:  2010        PMID: 20921270      PMCID: PMC2995414          DOI: 10.1261/rna.2242610

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


  45 in total

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4.  Direct comparison of nick-joining activity of the nucleic acid ligases from bacteriophage T4.

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Journal:  Curr Biol       Date:  2007-06-28       Impact factor: 10.834

9.  Methylation protects miRNAs and siRNAs from a 3'-end uridylation activity in Arabidopsis.

Authors:  Junjie Li; Zhiyong Yang; Bin Yu; Jun Liu; Xuemei Chen
Journal:  Curr Biol       Date:  2005-08-23       Impact factor: 10.834

10.  HEN1 recognizes 21-24 nt small RNA duplexes and deposits a methyl group onto the 2' OH of the 3' terminal nucleotide.

Authors:  Zhiyong Yang; Yon W Ebright; Bin Yu; Xuemei Chen
Journal:  Nucleic Acids Res       Date:  2006-01-30       Impact factor: 16.971

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  65 in total

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2.  Reply to Lack of detectable oral bioavailability of plant microRNAs after feeding in mice.

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Journal:  Nat Biotechnol       Date:  2013-11       Impact factor: 54.908

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Authors:  Alexander J Westermann; Stanislaw A Gorski; Jörg Vogel
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4.  RNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries.

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Journal:  RNA       Date:  2011-07-20       Impact factor: 4.942

5.  A Small RNA-Seq Protocol with Less Bias and Improved Capture of 2'-O-Methyl RNAs.

Authors:  Erwin L van Dijk; Claude Thermes
Journal:  Methods Mol Biol       Date:  2021

Review 6.  Detecting RNA modifications in the epitranscriptome: predict and validate.

Authors:  Mark Helm; Yuri Motorin
Journal:  Nat Rev Genet       Date:  2017-02-20       Impact factor: 53.242

7.  Differences in microRNA detection levels are technology and sequence dependent.

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Journal:  RNA       Date:  2013-02-19       Impact factor: 4.942

8.  The rocks and shallows of deep RNA sequencing: Examples in the Vibrio cholerae RNome.

Authors:  Carsten A Raabe; Chee Hock Hoe; Gerrit Randau; Juergen Brosius; Thean Hock Tang; Timofey S Rozhdestvensky
Journal:  RNA       Date:  2011-05-24       Impact factor: 4.942

9.  Two-tailed RT-qPCR: a novel method for highly accurate miRNA quantification.

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10.  LOTTE-seq (Long hairpin oligonucleotide based tRNA high-throughput sequencing): specific selection of tRNAs with 3'-CCA end for high-throughput sequencing.

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