The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Mitochondrial translation requires folate-dependent tRNA methylation
Open accessAbstract
Folates enable the activation and transfer of one-carbon units for the biosynthesis of purines, thymidine and methionine. Antifolates are important immunosuppressive and anticancer agents. In proliferating lymphocytes and human cancers, mitochondrial folate enzymes are particularly strongly upregulated. This in part reflects the need for mitochondria to generate one-carbon units and export them to the cytosol for anabolic metabolism. The full range of uses of folate-bound one-carbon units in the mitochondrial compartment itself, however, has not been thoroughly explored. Here we show that loss of the catalytic activity of the mitochondrial folate enzyme serine hydroxymethyltransferase 2 (SHMT2), but not of other folate enzymes, leads to defective oxidative phosphorylation in human cells due to impaired mitochondrial translation. We find that SHMT2, presumably by generating mitochondrial 5,10-methylenetetrahydrofolate, provides methyl donors to produce the taurinomethyluridine base at the wobble position of select mitochondrial tRNAs. Mitochondrial ribosome profiling in SHMT2-knockout human cells reveals that the lack of this modified base causes defective translation, with preferential mitochondrial ribosome stalling at certain lysine (AAG) and leucine (UUG) codons. This results in the impaired expression of respiratory chain enzymes. Stalling at these specific codons also occurs in certain inborn errors of mitochondrial metabolism. Disruption of whole-cell folate metabolism, by either folate deficiency or antifolate treatment, also impairs the respiratory chain. In summary, mammalian mitochondria use folate-bound one-carbon units to methylate tRNA, and this modification is required for mitochondrial translation and thus oxidative phosphorylation.
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.
Integrity signals
Registry
Cites
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.
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
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r36 · Cited by 12,668
Krogh, A., Larsson, B., von Heijne, G., & Sonnhammer, E. L. L. (2001) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.4315 · Cited by 12,654
Genome engineering using the CRISPR-Cas9 system
Ran, F. A., Hsu, P. D., Wright, J., Agarwala, V., Scott, D. A., & Zhang, F. (2013) · Nature Protocols · doi:10.1038/nprot.2013.143 · Cited by 11,133
deepTools2: a next generation web server for deep-sequencing data analysis
Ramírez, F., Ryan, D. P., Grüning, B., Bhardwaj, V., Kilpert, F., Richter, A. S., Heyne, S., Dündar, F., & Manke, T. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw257 · Cited by 8,096
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484
In-gel digestion for mass spectrometric characterization of proteins and proteomes
Shevchenko, A., Tomas, H., Havli, J., Olsen, J. V., & Mann, M. (2006) · Nature Protocols · doi:10.1038/nprot.2006.468 · Cited by 4,942
Cited by
RNA modifications modulate gene expression during development
Frye, M., Harada, B. T., Behm, M., & He, C. (2018) · Science · doi:10.1126/science.aau1646 · Cited by 1,249
Metabolism of Amino Acids in Cancer
Wei, Z., Liu, X., Cheng, C., Yu, W., & Yi, P. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.603837 · Cited by 429
Serine, glycine and one‑carbon metabolism in cancer (Review)
Pan, S., Fan, M., Liu, Z., Li, X., & Wang, H. (2020) · International Journal of Oncology · doi:10.3892/ijo.2020.5158 · Cited by 227
Formate metabolism in health and disease
Pietzke, M., Meiser, J., & Vazquez, A. (2020) · Molecular Metabolism · doi:10.1016/j.molmet.2019.05.012 · Cited by 218
The Diverse Functions of Non-Essential Amino Acids in Cancer
Choi, B.-H., & Coloff, J. L. (2019) · Cancers · doi:10.3390/cancers11050675 · Cited by 213
Metadata
- Authors
- Morscher, R. J., Ducker, G. S., Li, S. H.-J., Mayer, J. A., Gitai, Z., Sperl, W., & Rabinowitz, J. D.
- Venue
- Nature
- Published
- 2018-01-24
- Volume
- 554
- Issue
- 7690
- Pages
- 128-132
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2785040588
- Cited by
- 283
- References
- 77
- FWCI
- 9.26
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Mitochondrial translation requires folate-dependent tRNA methylation. https://app.cochat.ai/papers/10.1038/nature25460
- The paper
- Morscher, R. J., Ducker, G. S., Li, S. H.-J., Mayer, J. A., Gitai, Z., Sperl, W., & Rabinowitz, J. D. (2018). Mitochondrial translation requires folate-dependent tRNA methylation. Nature. https://doi.org/10.1038/nature25460
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.