PreprintCited by 10RNA modifications and cancerRNA and protein synthesis mechanismsRNA regulation and disease

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Metabolic turnover and dynamics of modified ribonucleosides by 13 C labeling

Open access

Preprint — published as 10.1016/j.jbc.2021.101294 · Paper page

Abstract

Tandem mass spectrometry (MS/MS) is an accurate tool to assess modified ribonucleosides and their dynamics in mammalian cells. Yet, MS/MS quantification of lowly abundant modifications in non-ribosomal RNAs is unreliable, and the dynamic features of various modifications poorly understood. We developed a 13 C labeling approach, 13 C-dynamods, to quantify the turnover of base modifications in newly transcribed RNA. This turnover-based approach helped to resolve mRNA from ncRNA modifications in purified RNA or free ribonucleosides, and showed the distinct kinetics of N 6-methyladenosine (m 6 2 A) versus 7-methylguanosine (m 7 G) in polyA+-purified RNA. We uncovered that N 6, N 6-dimethyladenosine (m 6 2 A) exhibits a distinct turnover in small RNAs and free ribonucleosides when compared to the known m 6 A-modified large rRNAs. Finally, combined measurements of turnover and abundance informed on the transcriptional versus posttranscriptional sensitivity of modified ncRNAs and mRNAs, respectively, to stress conditions. Thus, 13 C-dynamods enables studies of origin of modified RNAs at steady-state and their dynamics under non-stationary conditions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2021.07.20.453046

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 81

  1. 2020, How Do You Identify m6 A Methylation in Transcriptomes at High Resolution? A Comparison of Recent Datasets, Front. Genet, 11, 398, 10.3389/fgene.2020.00398 · DOI
  2. 10.1038/nrg.2016.169 · DOI
  3. 10.1038/nchembio.2546 · DOI
  4. 10.1016/j.cell.2017.05.045 · DOI
  5. 10.1126/science.aau1646 · DOI
  6. 10.1016/j.stem.2014.09.019 · DOI
  7. 10.1038/nature23450 · DOI
  8. 10.1016/j.cell.2017.09.003 · DOI
  9. 2017, R-2HG Exhibits Anti-tumor Activity by Targeting FTO/m 6 A/MYC/CEBPA Signaling, Cell, 172, 90
  10. 10.1016/j.molcel.2020.12.026 · DOI
  11. 10.1111/acel.12753 · DOI · Paper page
  12. 2020, METTL3 counteracts premature aging via m6A-dependent stabilization of MIS12 mRNA, Nucleic Acids Res, 48, 11083, 10.1093/nar/gkaa816 · DOI
  13. 10.1038/s41583-019-0244-z · DOI · Paper page
  14. 10.1021/acschemneuro.8b00657 · DOI
  15. 10.3389/fnins.2020.00600 · DOI
  16. 10.1101/gad.586710 · DOI
  17. 10.15252/embj.201489282 · DOI
  18. 10.1371/journal.pbio.3000297 · DOI
  19. 10.1016/j.febslet.2014.09.038 · DOI
  20. 10.1016/j.cell.2012.10.012 · DOI · Paper page
  21. 10.1039/c5an01797a · DOI
  22. 10.1002/mas.10011 · DOI
  23. 10.1093/nar/gkv560 · DOI
  24. 10.1021/ac200547y · DOI
  25. Popova, A. M. , and Williamson, J. R. (2014) Quantitative Analysis of rRNA Modifications Using Stable Isotope Labeling and Mass Spectrometry · DOI
  26. 10.1093/NAR/GKY811 · DOI
  27. 10.1093/nar/gku390 · DOI
  28. 10.1038/s41467-020-14665-7 · DOI
  29. 10.1007/s13361-013-0759-x · DOI
  30. 10.1371/journal.pgen.1001247 · DOI
  31. 10.1038/nprot.2014.047 · DOI
  32. 10.1093/nar/gku733 · DOI
  33. 10.1038/s41467-020-20576-4 · DOI
  34. 10.1080/15476286.2015.1031947 · DOI
  35. 10.1093/emboj/cdf656 · DOI
  36. 10.1186/1471-2164-15-349 · DOI
  37. 10.1016/j.ygeno.2010.07.010 · DOI · Paper page
  38. 10.1016/0092-8674(75)90158-0 · DOI
  39. 10.1016/0022-2836(79)90174-8 · DOI
  40. 10.1016/0022-2836(78)90183-3 · DOI
  41. 10.1016/j.cell.2018.03.055 · DOI
  42. 10.1006/mben.2001.0185 · DOI
  43. 10.1016/j.copbio.2015.02.003 · DOI
  44. 10.1016/0092-8674(74)90107-X · DOI
  45. 1995, mRNA Stability in Mammalian Cells, 59, 423
  46. 10.3389/fgene.2016.00096 · DOI
  47. 10.1093/nar/gkx1030 · DOI
  48. 1978, HeLa cell RNA(2’-O-methyladenosine-N6-)-methyltransferase specific for the capped 5’-end of messenger RNA, J. Biol. Chem, 253, 5033, 10.1016/S0021-9258(17)34652-5 · DOI
  49. 10.1038/nature24456 · DOI · Paper page
  50. Li, X. , Xiong, X. , Zhang, M. , Wang, K. , and Chen, Y. (2017) Base-resolution mapping reveals distinct m1A methylome in nuclear-and mitochondrial-encoded transcripts · DOI
  51. 2016, Metabolic control of epigenetics in cancer, Nat. Rev. Cancer, 16, 694, 10.1038/nrc.2016.82 · DOI
  52. 10.1126/science.1151710 · DOI
  53. 10.1016/j.molcel.2012.10.015 · DOI · Paper page
  54. 10.1016/j.cell.2017.03.031 · DOI · Paper page
  55. 10.1038/nature25784 · DOI
  56. 10.1038/s41586-019-1016-7 · DOI · Paper page
  57. 10.1016/j.molcel.2010.02.024 · DOI
  58. 10.1080/15476286.2017.1325063 · DOI
  59. 2019, Global analysis of RNA metabolism using bio-orthogonal labeling coupled with next-generation RNA sequencing, Methods, 155, 88, 10.1016/j.ymeth.2018.12.001 · DOI
  60. 10.1073/pnas.95.2.708 · DOI
  61. 10.1373/clinchem.2008.119446 · DOI
  62. 10.1038/nprot.2007.420 · DOI
  63. 10.1016/j.molcel.2015.12.014 · DOI
  64. 1998, A New Stable Isotope Method Enables the Simultaneous Measurement of Nucleic Acid and Protein Synthesis In Vivo in Mice, J. Nutr, 128, 1562, 10.1093/jn/128.9.1562 · DOI
  65. 10.1074/jbc.270.50.29682 · DOI
  66. 10.1042/bj2280027 · DOI
  67. 2012, Genome-wide determination of RNA stability reveals hundreds of short-lived noncoding transcripts in mammals, Genome Res, 22, 1382
  68. 10.1093/nar/gkw551 · DOI
  69. 2019, mRNA cap regulation in mammalian cell function and fate, Biochim. Biophys. Acta - Gene Regul. Mech, 1862, 270, 10.1016/j.bbagrm.2018.09.011 · DOI
  70. 2019, Transcriptome-wide Mapping of Internal N7-Methylguanosine Methylome in Mammalian mRNA, Mol. Cell, 74, 1304, 10.1016/j.molcel.2019.03.036 · DOI
  71. 10.1093/nar/gks144 · DOI
  72. 10.1006/jmbi.1994.1525 · DOI
  73. 10.1093/hmg/ddu518 · DOI
  74. 10.3390/molecules16065168 · DOI
  75. 10.1093/nar/29.22.4699 · DOI
  76. 2018, ALKBH5-induced demethylation of mono-and dimethylated adenosine, Chem. Commun. (Camb), 54, 8591, 10.1039/C8CC03980A · DOI
  77. 10.1016/j.cmet.2016.03.013 · DOI
  78. 10.1038/ncomms2822 · DOI
  79. 2018, FTO, m 6 A m , and the hypothesis of reversible epitranscriptomic mRNA modifications, FEBS Lett, 592, 2012, 10.1002/1873-3468.13092 · DOI
  80. 10.1093/bioinformatics/btq054 · DOI · Paper page
  81. 10.1038/s41589-018-0136-y · DOI

Metadata

Authors
Gameiro, P. A., Encheva, V., Dos Santos, M. S., MacRae, J. I., & Ule, J.
Affiliations
The Francis Crick Institute (GB)
Corresponding author
Gameiro, Paulo A.
Venue
Journal of Biological Chemistry
Publisher
openRxiv
Published
2021-07-20
Volume
297
Issue
5
Pages
101294-101294
ISSN
0021-9258 (ISSN-L)
OpenAlex
W3203998404
Cited by
10
References
1
Citations by year
2026: 4 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 2
FWCI
0.31
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Biological Chemistry (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • The Francis Crick Institute (cc-by)
Funders
  • Wellcome Trust (FP7/2007–2013, FC001002, 103760, 103760/Z/14/, 103760/Z/14/Z)
  • Francis Crick Institute (FC001002, 10011, 10012)
  • Cancer Research UK (FP7/2007-2013, FC001002)
  • European Commission (2007–2013, FP7 2007-2013, FP7/2007, 701730)
  • Seventh Framework Programme (617837)
  • Medical Research Council (FC001002)
  • European Research Council
  • UCL Queen Square Institute of Neurology,University College London (103760/Z/14/Z)
  • H2020 Marie Skłodowska-Curie Actions (701730)
  • FP7 Ideas: European Research Council (617837)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
Keywords
13C labeling, N6-methyladenosine, 7-methylguanosine, mRNA modification, small RNA, post-transcriptional modification, transcriptional regulation, stress response
MeSH terms
Adenosine, Carbon Isotopes, Guanosine, Isotope Labeling, RNA, RNA Processing, Post-Transcriptional, Tandem Mass Spectrometry

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review