Chapter title |
High-Throughput Mapping of 2′-O-Me Residues in RNA Using Next-Generation Sequencing (Illumina RiboMethSeq Protocol)
|
---|---|
Chapter number | 12 |
Book title |
RNA Methylation
|
Published in |
Methods in molecular biology, March 2017
|
DOI | 10.1007/978-1-4939-6807-7_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6805-3, 978-1-4939-6807-7
|
Authors |
Marchand, Virginie, Ayadi, Lilia, El Hajj, Aseel, Blanloeil-Oillo, Florence, Helm, Mark, Motorin, Yuri, Virginie Marchand, Lilia Ayadi, Aseel El Hajj, Florence Blanloeil-Oillo, Mark Helm, Yuri Motorin |
Editors |
Alexandra Lusser |
Abstract |
Detection of RNA modifications in native RNAs is a tedious and laborious task, since the global level of these residues is low and most of the suitable physico-chemical methods require purification of the RNA of interest almost to homogeneity. To overcome these limitations, methods based on RT-driven primer extension have been developed and successfully used, sometimes in combination with a specific chemical treatment. Nowadays, some of these approaches have been coupled to high-throughput sequencing technologies, allowing the access to transcriptome-wide data. RNA 2'-O-methylation is one of the ubiquitous nucleotide modifications found in many RNA types from bacteria, archaea, and eukarya. Here, we describe a reliable and optimized protocol based on alkaline fragmentation of total RNA coupled to a commonly used ligation approach followed by Illumina sequencing. We describe the methodology for detection and relative quantification of 2'-O-methylations with a high sensitivity and reproducibility even with a limited amount of starting material (1 ng of total RNA). Altogether this technique unlocks a technological barrier since it will be applicable for routine parallel treatment of biological and clinical samples to decipher the functions of 2'-O-methylations in pathologies. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 23% |
Student > Master | 6 | 23% |
Researcher | 4 | 15% |
Student > Doctoral Student | 3 | 12% |
Student > Bachelor | 2 | 8% |
Other | 1 | 4% |
Unknown | 4 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 13 | 50% |
Agricultural and Biological Sciences | 6 | 23% |
Environmental Science | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Chemistry | 1 | 4% |
Other | 0 | 0% |
Unknown | 4 | 15% |