Evidence map›Paper›PMID 30621251›Full record

ArticleGenes2019

Production and Application of Stable Isotope-Labeled Internal Standards for RNA Modification Analysis.

Kayla Borland, Jan Diesend, Taku Ito-Kureha, Vigo Heissmeyer, Christian Hammann, Amy H Buck, Stylianos Michalakis, Stefanie Kellner

Abstract read
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. The NAT10/acCell communication and signaling : CCS · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Opportunities and Challenges to Profile mRNA Modifications in Escherichia coli.Chembiochem : a European journal of chemical biology · 2022
    Article
  10. Honeybee Iflaviruses Pack Specific tRNA Fragments from Host Cells in Their Virions.Chembiochem : a European journal of chemical biology · 2022
    Article
  11. Article
  12. Article
  13. mInternational journal of molecular sciences · 2021
    Article
  14. Article
  15. Article
  16. Synthesis and Metabolic Fate of 4-Methylthiouridine in Bacterial tRNA.Chembiochem : a European journal of chemical biology · 2020
    Article
  17. Review
  18. Article
  19. METTL6 is a tRNA mScience advances · 2020
    Article
  20. The rRNA mGenes & development · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kayla BorlandDepartment of Chemistry, Ludwig Maximilians University Munich, Butenandtstr. 5-13, 81377 Munich, Germany. kaboch@cup.uni-muenchen.de.
Jan DiesendDepartment of Life Sciences and Chemistry, Jacobs University Bremen GmbH, Campus Ring 1, 28759 Bremen, Germany. j.diesend@jacobs-university.de.
Taku Ito-KurehaInstitute for Immunology at the Biomedical Center, Ludwig-Maximilians-Universität München, 82152 Planegg-Martinsried, Germany. Taku.Kureha@med.uni-muenchen.de.
Vigo HeissmeyerInstitute for Immunology at the Biomedical Center, Ludwig-Maximilians-Universität München, 82152 Planegg-Martinsried, Germany. vigo.heissmeyer@med.uni-muenchen.de.ORCID 0000-0002-2263-8545
Christian HammannDepartment of Life Sciences and Chemistry, Jacobs University Bremen GmbH, Campus Ring 1, 28759 Bremen, Germany. c.hammann@jacobs-university.de.
Amy H BuckInstitute of Immunology & Infection and Centre for Immunity, Infection & Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK. a.buck@ed.ac.uk.ORCID 0000-0003-2645-7191
Stylianos MichalakisCenter for Integrated Protein Science Munich CiPSM at the Department of Pharmacy-Center for Drug Research, Ludwig-Maximilians-Universität München, Butenandtstr. 5-13, 81377 Munich, Germany. stylianos.michalakis@cup.uni-muenchen.de.ORCID 0000-0001-5092-9238
Stefanie KellnerDepartment of Chemistry, Ludwig Maximilians University Munich, Butenandtstr. 5-13, 81377 Munich, Germany. stefanie.kellner@cup.uni-muenchen.de.ORCID 0000-0003-3224-7502

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-transcriptional RNA modifications have been found to be present in a wide variety of organisms and in different types of RNA. Nucleoside modifications are interesting due to their already known roles in translation fidelity, enzyme recognition, disease progression, and RNA stability. In addition, the abundance of modified nucleosides fluctuates based on growth phase, external stress, or possibly other factors not yet explored. With modifications ever changing, a method to determine absolute quantities for multiple nucleoside modifications is required. Here, we report metabolic isotope labeling to produce isotopically labeled internal standards in bacteria and yeast. These can be used for the quantification of 26 different modified nucleosides. We explain in detail how these internal standards are produced and show their mass spectrometric characterization. We apply our internal standards and quantify the modification content of transfer RNA (tRNA) from bacteria and various eukaryotes. We can show that the origin of the internal standard has no impact on the quantification result. Furthermore, we use our internal standard for the quantification of modified nucleosides in mouse tissue messenger RNA (mRNA), where we find different modification profiles in liver and brain tissue.

Indexed as

RNA Processing, Post-TranscriptionalAnimalsCaenorhabditis elegansCarbon IsotopesDictyosteliumEscherichia coliFemaleHEK293 CellsHumansMass SpectrometryMiceMice, Inbred C57BLReference StandardsRNASaccharomyces cerevisiaeCarbon IsotopesRNAabsolute quantification of RNA modificationsisotope labelingmass spectrometrymRNAtransfer RNA

Identifiers

PMID30621251
PMCPMC6356711

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.