The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
TGF-β and Insulin Signaling Regulate Reproductive Aging via Oocyte and Germline Quality Maintenance
Open accessAbstract
SUMMARY Reproductive cessation is perhaps the earliest aging phenotypes humans experience. Similarly, C. elegans’ reproduction ceases in mid-adulthood. Although somatic aging has been studied in both worms and humans, mechanisms regulating reproductive aging are not yet understood. Here we show that TGF-β Sma/Mab and Insulin/IGF-1 signaling regulate C. elegans reproductive aging by modulating multiple aspects of the reproductive process, including embryo integrity, oocyte fertilizability, chromosome segregation fidelity, DNA damage resistance, and oocyte and germline morphology. TGF-β activity regulates reproductive span and germline/oocyte quality non-cell-autonomously, and is temporally and transcriptionally separable from its regulation of growth. Chromosome segregation, cell cycle, and DNA damage response genes are upregulated in TGF-β mutant oocytes, decline in aged mammalian oocytes, and are critical for oocyte quality maintenance. Our data suggest that C. elegans and humans share many aspects of reproductive aging, including the correlation between reproductive aging and declining oocyte quality, and mechanisms determining oocyte quality.
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
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
The plasticity of aging: insights from long-lived mutants
Kenyon, C. (2005) · Cell · doi:10.1016/j.cell.2005.02.002 · Cited by 1,338
Tissue-Specific Activities of C. elegans DAF-16 in the Regulation of Lifespan
Libina, N., Berman, J. R., & Kenyon, C. (2003) · Cell · doi:10.1016/s0092-8674(03)00889-4 · Cited by 820
Functionally significant insulin-like growth factor I receptor mutations in centenarians
Suh, Y., Atzmon, G., Cho, M.-O., Hwang, D., Liu, B., Leahy, D. J., Barzilai, N., & Cohen, P. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705467105 · Cited by 703
Genetic variation in LIN28B is associated with the timing of puberty
Ong, K. K., Elks, C. E., Li, S., Zhao, J. H., Luan, J., Andersen, L. B., Bingham, S. A., Brage, S., Smith, G. D., Ekelund, U., et al. (2009) · Nature Genetics · doi:10.1038/ng.382 · Cited by 366
Cited by
Insulin/insulin-like growth factor signaling in C. elegans
Murphy, C. T. (2013) · WormBook · doi:10.1895/wormbook.1.164.1 · Cited by 532
Self-citationAging, Rejuvenation, and Epigenetic Reprogramming: Resetting the Aging Clock
Rando, T. A., & Chang, H. Y. (2012) · Cell · doi:10.1016/j.cell.2012.01.003 · Cited by 520
Insights into Sex Chromosome Evolution and Aging from the Genome of a Short-Lived Fish
Reichwald, K., Petzold, A., Koch, P., Downie, B. R., Hartmann, N., Pietsch, S., Baumgart, M., Chalopin, D., Felder, M., Bens, M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.10.071 · Cited by 323
Indoles from commensal bacteria extend healthspan
Sonowal, R., Swimm, A., Sahoo, A., Luo, L., Matsunaga, Y., Wu, Z., Bhingarde, J. A., Ejzak, E. A., Ranawade, A., Qadota, H., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1706464114 · Cited by 197
DNA damage in aging, the stem cell perspective
McNeely, T., Leone, M., Yanai, H., & Beerman, I. (2020) · Human Genetics · doi:10.1007/s00439-019-02047-z · Cited by 52
“elegans DDR gene expression Altered with age in oocytes Luo et al. (2010)”
Background
Metadata
- Authors
- Luo, S., Kleemann, G. A., Ashraf, J. M., Shaw, W. M., & Murphy, C. T.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 143
- Issue
- 2
- Pages
- 299-312
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2055937273
- Cited by
- 283
- References
- 6
- FWCI
- 3.22
- Type
- journal article
- Language
- en
- Open access
- bronze
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: TGF-β and Insulin Signaling Regulate Reproductive Aging via Oocyte and Germline Quality Maintenance. https://app.cochat.ai/papers/10.1016/j.cell.2010.09.013
- The paper
- Luo, S., Kleemann, G. A., Ashraf, J. M., Shaw, W. M., & Murphy, C. T. (2010). TGF-β and Insulin Signaling Regulate Reproductive Aging via Oocyte and Germline Quality Maintenance. Cell. https://doi.org/10.1016/j.cell.2010.09.013
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.