The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Epigenetic modulation of the miR-200 family is associated with transition to a breast cancer stem cell-like state
Abstract
The miR-200 family is a key regulator of EMT, however its role in controlling the transition between cancer stem cell-like and non-stem cell-like phenotypes is not well understood. We utilized immortalized human mammary epithelial cells (HMLE) to investigate the regulation of the miR-200 family during their conversion to a stem-like phenotype. HMLE cells were found to be capable of spontaneous conversion from a non-stem to a stem-like phenotype and this conversion was accompanied by the loss of miR-200 expression. Stem-like cell fractions isolated from metastatic breast cancers also displayed loss of miR-200 indicating similar molecular changes may occur during breast cancer progression. The phenotypic change observed in HMLE cells was directly controlled by miR-200 as restoration of its expression decreased stem-like properties while promoting a transition to an epithelial phenotype. Investigation of the mechanisms controlling miR-200 expression revealed both DNA methylation and histone modifications were significantly altered in the stem-like and non-stem phenotypes. In particular, in the stem-like phenotype, the miR-200b-200a-429 cluster was silenced primarily through polycomb group-mediated histone modifications whereas the miR-200c-141 cluster was repressed by DNA methylation. These results indicate that the miR-200 family plays a critical role in the transition between stem-like and non-stem phenotypes and that distinct epigenetic-based mechanisms regulate each miR-200 gene in this process. Therapy targeted against miR-200 family members and epigenetic modifications may therefore be applicable to breast cancer.
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
The basics of epithelial-mesenchymal transition
Kalluri, R., & Weinberg, R. A. (2009) · Journal of Clinical Investigation · doi:10.1172/jci39104 · Cited by 10,196
Transitions between epithelial and mesenchymal states: acquisition of malignant and stem cell traits
Polyak, K., & Weinberg, R. A. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2620 · Cited by 3,302
Park, S.-M., Gaur, A. B., Lengyel, E., & Peter, M. E. (2008) · Genes & Development · doi:10.1101/gad.1640608 · Cited by 2,272
Kleer, C. G., Cao, Q., Varambally, S., Shen, R., Ota, I., Tomlins, S. A., Ghosh, D., Sewalt, R. G. A. B., Otte, A. P., Hayes, D. F., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1933744100 · Cited by 1,649
Iliopoulos, D., Lindahl-Allen, M., Polytarchou, C., Hirsch, H. A., Tsichlis, P. N., & Struhl, K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.08.013 · Cited by 399
Cited by
Nieto, M. A., Huang, R. Y.-J., Jackson, R. A., & Thiery, J. P. (2016) · Cell · doi:10.1016/j.cell.2016.06.028 · Cited by 4,492
Humphries, B., & Yang, C. (2015) · Oncotarget · doi:10.18632/oncotarget.3052 · Cited by 346
Metadata
- Authors
- Lim, Y., Wright, J. A., Attema, J. L., Gregory, P. A., Bert, A. G., Smith, E., Thomas, D., Drew, P. A., Khew-Goodall, Y., & Goodall, G. J.
- Venue
- Journal of Cell Science
- Publisher
- The Company of Biologists
- Published
- 2013-01-01
- Volume
- 126
- Issue
- Pt 10
- Pages
- 2256-66
- ISSN
- 0021-9533 (ISSN-L)
- 1477-9137
- OpenAlex
- W2110773510
- Cited by
- 191
- References
- 5
- FWCI
- 7.76
- 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: Epigenetic modulation of the miR-200 family is associated with transition to a breast cancer stem cell-like state. https://app.cochat.ai/papers/10.1242/jcs.122275
- The paper
- Lim, Y., Wright, J. A., Attema, J. L., Gregory, P. A., Bert, A. G., Smith, E., Thomas, D., Drew, P. A., Khew-Goodall, Y., & Goodall, G. J. (2013). Epigenetic modulation of the miR-200 family is associated with transition to a breast cancer stem cell-like state. Journal of Cell Science. https://doi.org/10.1242/jcs.122275
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.