The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Ribosomopathies: Old Concepts, New Controversies
Abstract
Ribosomopathies are a diverse subset of diseases caused by reduced expression of or mutations in factors necessary for making ribosomes, the protein translation machinery in the cell. Despite a ubiquitous need for ribosomes in all cell types, ribosomopathies manifest with tissue specific defects and sometimes increased cancer susceptibility, with few treatments that target the underlying cause. Here, by highlighting new research in the field, we review current hypotheses for the basis of this tissue specificity. Based on new work, we broaden our understanding of the role of ribosome biogenesis in diverse tissue types throughout embryonic development. We also pose the question of whether previously described human diseases, like aging, can be at least partially attributed to defects in making ribosomes.
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
Extrachromosomal rDNA circles—a cause of aging in yeast
Sinclair, D. A., & Guarente, L. (1997) · Cell · doi:10.1016/s0092-8674(00)80493-6 · Cited by 1,500
Prognostic Mutations in Myelodysplastic Syndrome after Stem-Cell Transplantation
Lindsley, R. C., Saber, W., Mar, B. G., Redd, R., Wang, T., Haagenson, M. D., Grauman, P. V., Hu, Z.-H., Spellman, S. R., Lee, S. J., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1611604 · Cited by 776
Dyskeratosis congenita in all its forms
Dokal, I. (2000) · British Journal of Haematology · doi:10.1046/j.1365-2141.2000.02109.x · Cited by 575
Ribosome stalling induced by mutation of a CNS-specific tRNA causes neurodegeneration
Ishimura, R., Nagy, G., Dotu, I., Zhou, H., Yang, X.-L., Schimmel, P., Senju, S., Nishimura, Y., Chuang, J. H., & Ackerman, S. L. (2014) · Science · doi:10.1126/science.1249749 · Cited by 455
Ribosome Levels Selectively Regulate Translation and Lineage Commitment in Human Hematopoiesis
Khajuria, R. K., Munschauer, M., Ulirsch, J. C., Fiorini, C., Ludwig, L. S., McFarland, S. K., Abdulhay, N. J., Specht, H., Keshishian, H., Mani, D. R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.036 · Cited by 416 · cited 5×
“In the first, it is because GATA1 has a highly structured, long 5’ UTR; while in the second, it is because GATA1 has a short, unstructured 5’ UTR [27, 82].”
BackgroundMethodInfluentialZambetti, N. A., Ping, Z., Chen, S., Kenswil, K. J. G., Mylona, M. A., Sanders, M. A., Hoogenboezem, R. M., Bindels, E. M. J., Adisty, M. N., Van Strien, P. M. H., et al. (2016) · Cell stem cell · doi:10.1016/j.stem.2016.08.021 · Cited by 342
Small nucleoli are a cellular hallmark of longevity
Tiku, V., Jain, C., Raz, Y., Nakamura, S., Heestand, B., Liu, W., Späth, M., Suchiman, H. E. D., Müller, R.-U., Slagboom, P. E., et al. (2017) · Nature Communications · doi:10.1038/ncomms16083 · Cited by 287
Nucleolar expansion and elevated protein translation in premature aging
Buchwalter, A., & Hetzer, M. W. (2017) · Nature Communications · doi:10.1038/s41467-017-00322-z · Cited by 263
Cockayne syndrome: Clinical features, model systems and pathways
Karikkineth, A. C., Scheibye-Knudsen, M., Fivenson, E., Croteau, D. L., & Bohr, V. A. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2016.08.002 · Cited by 262
mTORC Inhibitors as Broad-Spectrum Therapeutics for Age-Related Diseases
Walters, H. E., & Cox, L. S. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19082325 · Cited by 85
Cited by
The nucleolus as a multiphase liquid condensate
Lafontaine, D. L. J., Riback, J. A., Bascetin, R., & Brangwynne, C. P. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0272-6 · Cited by 1,051
Fluoride exposure alters Ca 2+ signaling and mitochondrial function in enamel cells
Aulestia, F. J., Groeling, J., Bomfim, G. H. S., Costiniti, V., Manikandan, V., Chaloemtoem, A., Concepcion, A. R., Li, Y., Wagner, L. E., Idaghdour, Y., et al. (2020) · Science Signaling · doi:10.1126/scisignal.aay0086 · Cited by 61
Metadata
- Authors
- Farley-Barnes, K. I., Ogawa, L. M., & Baserga, S. J.
- Venue
- Trends in Genetics
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 35
- Issue
- 10
- Pages
- 754-767
- ISSN
- 0168-9525 (ISSN-L)
- OpenAlex
- W2965754337
- Cited by
- 185
- References
- 10
- FWCI
- 1.69
- Type
- journal article
- Language
- en
- Open access
- closed
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: Ribosomopathies: Old Concepts, New Controversies. https://app.cochat.ai/papers/10.1016/j.tig.2019.07.004
- The paper
- Farley-Barnes, K. I., Ogawa, L. M., & Baserga, S. J. (2019). Ribosomopathies: Old Concepts, New Controversies. Trends in Genetics. https://doi.org/10.1016/j.tig.2019.07.004
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.
