2014
DOI: 10.1093/nar/gku733
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Absolute and relative quantification of RNA modifications via biosynthetic isotopomers

Abstract: In the resurging field of RNA modifications, quantification is a bottleneck blocking many exciting avenues. With currently over 150 known nucleoside alterations, detection and quantification methods must encompass multiple modifications for a comprehensive profile. LC–MS/MS approaches offer a perspective for comprehensive parallel quantification of all the various modifications found in total RNA of a given organism. By feeding 13C-glucose as sole carbon source, we have generated a stable isotope-labeled inter… Show more

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Cited by 120 publications
(114 citation statements)
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“…The method also extends the linear dynamic range for quantification by two orders-of-magnitude by equalizing ion suppression effects due to saturation (gray area in Fig. 4) (Kellner, Ochel, et al, 2014). …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The method also extends the linear dynamic range for quantification by two orders-of-magnitude by equalizing ion suppression effects due to saturation (gray area in Fig. 4) (Kellner, Ochel, et al, 2014). …”
Section: Methodsmentioning
confidence: 99%
“…Note the extended dynamic range in the gray area (saturation range). Adapted and modified from (Gu, Begley, & Dedon, 2014; Kellner, Ochel, et al, 2014; Su et al, 2014)…”
Section: Figurementioning
confidence: 99%
“…LC-MS/MS analysis of RNA from mouse ES cells and Drosophila S2 cells (cultured under standard conditions) was performed as described previously (Kellner et al 2014). Further details are provided in Supplemental Methods.…”
Section: Lc-ms/ms Analysismentioning
confidence: 99%
“…Recent developments, especially the application of sensitive mass spectrometry tools to nucleic acid chemistry (i.e., liquid chromatography combined with mass spectrometry, LC-MS) has considerably increased analytical sensitivity, opening up possibilities for quantifying also the modifications status of low-abundance RNAs (Kellner et al, 2014;Li et al, 2008;Russell & Limbach, 2013). Using LC-MS has provided unprecedented insights into the dynamic landscape of RNA modifications (including m 5 C) in abundant RNAs, especially during stress conditions (Chan et al, 2010(Chan et al, , 2012.…”
Section: Methods For Identifying M 5 C-modified Rna In Sequence Contextmentioning
confidence: 99%