LC-MS Analysis of Methylated RNA
- Publikationstyp:
- Kapitel
- Metadaten:
-
- Autoren
- Kathrin Thuering
- Katharina Schmid
- Patrick Keller
- Mark Helm
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000417675100002&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1007/978-1-4939-6807-7_1
- ISBN-13
- 978-1-4939-6805-3
- Schlüsselwörter
- RNA methylation
- LC-MS
- DMRM
- NLS
- SIL-IS
- External calibration
- Paginierung
- 3 - 18
- Buchtitel
- RNA METHYLATION: METHODS AND PROTOCOLS
- Datum der Veröffentlichung
- 2017
- Status
- Published
- Titel
- LC-MS Analysis of Methylated RNA
- Ausgabe der Zeitschrift
- 1562
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Autoren
- Kathrin Thüring
- Katharina Schmid
- Patrick Keller
- Mark Helm
- DOI
- 10.1007/978-1-4939-6807-7_1
- ISBN-13
- 9781493968053
- Online publication date
- 2017
- Paginierung
- 3 - 18
- Buchtitel
- Methods in Molecular Biology
- Datum der Veröffentlichung
- 2017
- Status
- Published
- Herausgeber
- Springer New York
- Herausgeber URL
- http://dx.doi.org/10.1007/978-1-4939-6807-7_1
- Datum der Datenerfassung
- 2017
- Titel
- LC-MS Analysis of Methylated RNA
Datenquelle: Crossref
- Abstract
- The detection and quantification of methylated RNA can be beneficial to understand certain cellular regulation processes such as transcriptional modulation of gene expression, immune response, or epigenetic alterations. Therefore, it is necessary to have methods available, which are extremely sensitive and accurate, for instance liquid chromatography-tandem mass spectrometry (LC-MS/MS). Here, we describe the preparation of RNA samples by enzymatic hydrolysis and the subsequent analysis of ribonucleosides by LC-MS/MS via NLS (Neutral loss scan) and DMRM (Dynamic multiple reaction monitoring). Also, we provide variations of these methods including chromatographic techniques and different kinds of quantification.
- Addresses
- Institute of Pharmacy and Biochemistry, Johannes Gutenberg-University of Mainz, Staudingerweg 5, 55099, Mainz, Germany.
- Autoren
- Kathrin Thüring
- Katharina Schmid
- Patrick Keller
- Mark Helm
- DOI
- 10.1007/978-1-4939-6807-7_1
- Open access
- false
- Schlüsselwörter
- Ribonucleases
- RNA
- Calibration
- Chromatography, Liquid
- Chromatography, High Pressure Liquid
- Isotope Labeling
- Methylation
- Tandem Mass Spectrometry
- Statistics as Topic
- Workflow
- Medium
- Paginierung
- 3 - 18
- Datum der Veröffentlichung
- 2017
- Status
- Published
- Datum der Datenerfassung
- 2017
- Titel
- LC-MS Analysis of Methylated RNA.
- Ausgabe der Zeitschrift
- 1562
Datenquelle: Europe PubMed Central
- Abstract
- The detection and quantification of methylated RNA can be beneficial to understand certain cellular regulation processes such as transcriptional modulation of gene expression, immune response, or epigenetic alterations. Therefore, it is necessary to have methods available, which are extremely sensitive and accurate, for instance liquid chromatography-tandem mass spectrometry (LC-MS/MS). Here, we describe the preparation of RNA samples by enzymatic hydrolysis and the subsequent analysis of ribonucleosides by LC-MS/MS via NLS (Neutral loss scan) and DMRM (Dynamic multiple reaction monitoring). Also, we provide variations of these methods including chromatographic techniques and different kinds of quantification.
- Autoren
- Kathrin Thüring
- Katharina Schmid
- Patrick Keller
- Mark Helm
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/28349450
- DOI
- 10.1007/978-1-4939-6807-7_1
- Schlüsselwörter
- DMRM
- External calibration
- LC-MS
- NLS
- RNA methylation
- SIL-IS
- Calibration
- Chromatography, High Pressure Liquid
- Chromatography, Liquid
- Isotope Labeling
- Methylation
- RNA
- Ribonucleases
- Statistics as Topic
- Tandem Mass Spectrometry
- Workflow
- Paginierung
- 3 - 18
- Datum der Veröffentlichung
- 2017
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2018
- Titel
- LC-MS Analysis of Methylated RNA.
- Ausgabe der Zeitschrift
- 1562
Datenquelle: PubMed
- Beziehungen:
- Eigentum von