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Protocol: a beginner’s guide to the analysis of RNA-directed DNA methylation in plants

BACKGROUND: DNA methylation is a conserved epigenetic mark that controls genome stability, development and environmental responses in many eukaryotes. DNA methylation can be guided by non-coding RNAs that include small interfering RNAs and scaffold RNAs. Although measurement of DNA methylation and r...

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Autores principales: Zhang, Huiming, Tang, Kai, Wang, Bangshing, Duan, Cheng-Guo, Lang, Zhaobo, Zhu, Jian-Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065543/
https://www.ncbi.nlm.nih.gov/pubmed/24955108
http://dx.doi.org/10.1186/1746-4811-10-18
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author Zhang, Huiming
Tang, Kai
Wang, Bangshing
Duan, Cheng-Guo
Lang, Zhaobo
Zhu, Jian-Kang
author_facet Zhang, Huiming
Tang, Kai
Wang, Bangshing
Duan, Cheng-Guo
Lang, Zhaobo
Zhu, Jian-Kang
author_sort Zhang, Huiming
collection PubMed
description BACKGROUND: DNA methylation is a conserved epigenetic mark that controls genome stability, development and environmental responses in many eukaryotes. DNA methylation can be guided by non-coding RNAs that include small interfering RNAs and scaffold RNAs. Although measurement of DNA methylation and regulatory non-coding RNAs is desirable for many biologists who are interested in exploring epigenetic regulation in their areas, conventional methods have limitations and are technically challenging. For instance, traditional siRNA detection through RNA hybridization requires relatively large amount of small RNAs and involves radioactive isotopes. An alternative approach is RT-qPCR that employs stem loop primers during reverse transcription; however, it requires a prerequisite that the exact sequences of siRNAs should be known. RESULTS: By using the model organism Arabidopsis thaliana, we developed an easy-to-follow, integrative procedure for time-efficient, quantitative measurement of DNA methylation, small interfering RNAs, and scaffold RNAs. Starting with simplified nucleic acid manipulation, we examined DNA methylation levels by using Chop PCR (methylation-sensitive enzyme digestion followed by PCR), which allowed for fast screening for DNA methylation mutants without the need of transgenic reporters. We deployed a simple bioinformatics method for mining published small RNA databases, in order to obtain the nucleotide (nt) sequences of individual 24nt siRNAs within the regions of interest. The protocol of commercial TaqMan Small RNA Assay was subsequently optimized for reliable quantitative detection of individual siRNAs. We used nested qPCR to quantify scaffold RNAs that are of low abundance and without Poly-A tails. In addition, nuclei fraction enables separation of chromatin-associated scaffold RNAs from their cognate non-scaffold transcripts that have been released from chromatin. CONCLUSIONS: We have developed a procedure for quantitative investigations on nucleic acids that are core components of RNA-directed DNA methylation. Our results not only demonstrated the efficacy of this procedure, but also provide lists of methylation-sensitive restriction enzymes, novel DNA methylation marker loci, and related siRNA sequences, all of which can be valuable for future epigenetic studies. Importantly, step-by-step protocols are provided in details such that the approaches can be easily followed by biologists with little experience in epigenetics.
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spelling pubmed-40655432014-06-22 Protocol: a beginner’s guide to the analysis of RNA-directed DNA methylation in plants Zhang, Huiming Tang, Kai Wang, Bangshing Duan, Cheng-Guo Lang, Zhaobo Zhu, Jian-Kang Plant Methods Methodology BACKGROUND: DNA methylation is a conserved epigenetic mark that controls genome stability, development and environmental responses in many eukaryotes. DNA methylation can be guided by non-coding RNAs that include small interfering RNAs and scaffold RNAs. Although measurement of DNA methylation and regulatory non-coding RNAs is desirable for many biologists who are interested in exploring epigenetic regulation in their areas, conventional methods have limitations and are technically challenging. For instance, traditional siRNA detection through RNA hybridization requires relatively large amount of small RNAs and involves radioactive isotopes. An alternative approach is RT-qPCR that employs stem loop primers during reverse transcription; however, it requires a prerequisite that the exact sequences of siRNAs should be known. RESULTS: By using the model organism Arabidopsis thaliana, we developed an easy-to-follow, integrative procedure for time-efficient, quantitative measurement of DNA methylation, small interfering RNAs, and scaffold RNAs. Starting with simplified nucleic acid manipulation, we examined DNA methylation levels by using Chop PCR (methylation-sensitive enzyme digestion followed by PCR), which allowed for fast screening for DNA methylation mutants without the need of transgenic reporters. We deployed a simple bioinformatics method for mining published small RNA databases, in order to obtain the nucleotide (nt) sequences of individual 24nt siRNAs within the regions of interest. The protocol of commercial TaqMan Small RNA Assay was subsequently optimized for reliable quantitative detection of individual siRNAs. We used nested qPCR to quantify scaffold RNAs that are of low abundance and without Poly-A tails. In addition, nuclei fraction enables separation of chromatin-associated scaffold RNAs from their cognate non-scaffold transcripts that have been released from chromatin. CONCLUSIONS: We have developed a procedure for quantitative investigations on nucleic acids that are core components of RNA-directed DNA methylation. Our results not only demonstrated the efficacy of this procedure, but also provide lists of methylation-sensitive restriction enzymes, novel DNA methylation marker loci, and related siRNA sequences, all of which can be valuable for future epigenetic studies. Importantly, step-by-step protocols are provided in details such that the approaches can be easily followed by biologists with little experience in epigenetics. BioMed Central 2014-06-14 /pmc/articles/PMC4065543/ /pubmed/24955108 http://dx.doi.org/10.1186/1746-4811-10-18 Text en Copyright © 2014 Zhang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Zhang, Huiming
Tang, Kai
Wang, Bangshing
Duan, Cheng-Guo
Lang, Zhaobo
Zhu, Jian-Kang
Protocol: a beginner’s guide to the analysis of RNA-directed DNA methylation in plants
title Protocol: a beginner’s guide to the analysis of RNA-directed DNA methylation in plants
title_full Protocol: a beginner’s guide to the analysis of RNA-directed DNA methylation in plants
title_fullStr Protocol: a beginner’s guide to the analysis of RNA-directed DNA methylation in plants
title_full_unstemmed Protocol: a beginner’s guide to the analysis of RNA-directed DNA methylation in plants
title_short Protocol: a beginner’s guide to the analysis of RNA-directed DNA methylation in plants
title_sort protocol: a beginner’s guide to the analysis of rna-directed dna methylation in plants
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065543/
https://www.ncbi.nlm.nih.gov/pubmed/24955108
http://dx.doi.org/10.1186/1746-4811-10-18
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