The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Smad4 Dependency Defines Two Classes of Transforming Growth Factor β (TGF-β) Target Genes and Distinguishes TGF-β-Induced Epithelial-Mesenchymal Transition from Its Antiproliferative and Migratory Responses
Open accessAbstract
In response to transforming growth factor beta (TGF-beta), Smad4 forms complexes with activated Smad2 and Smad3, which accumulate in the nucleus, where they both positively and negatively regulate TGF-beta target genes. Mutation or deletion of Smad4 is found in about 50% of pancreatic tumors and in about 15% of colorectal tumors. As Smad4 is a central component of the TGF-beta/Smad pathway, we have determined whether Smad4 is absolutely required for all TGF-beta responses, to evaluate the effect of its loss during human tumor development. We have generated cell lines from the immortalized human keratinocyte cell line HaCaT or the pancreatic tumor cell line Colo-357, which stably express a tetracyline-inducible small interfering RNA targeted against Smad4. In response to tetracycline, Smad4 expression is effectively silenced. Large-scale microarray analysis identifies two populations of TGF-beta target genes that are distinguished by their dependency on Smad4. Some genes absolutely require Smad4 for their regulation, while others do not. Functional analysis also indicates a differential Smad4 requirement for TGF-beta-induced functions; TGF-beta-induced cell cycle arrest and migration, but not epithelial-mesenchymal transition, are abolished after silencing of Smad4. Altogether our results suggest that loss of Smad4 might promote TGF-beta-mediated tumorigenesis by abolishing tumor-suppressive functions of TGF-beta while maintaining some tumor-promoting TGF-beta responses.
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
Expression profiling reveals off-target gene regulation by RNAi
Jackson, A. L., Bartz, S. R., Schelter, J., Kobayashi, S. V., Burchard, J., Mao, M., Li, B., Cavet, G., & Linsley, P. S. (2003) · Nature Biotechnology · doi:10.1038/nbt831 · Cited by 2,370
DPC4 , A Candidate Tumor Suppressor Gene at Human Chromosome 18q21.1
Hahn, S. A., Schutte, M., Shamsul Hoque, A. T. M., Moskaluk, C. A., da Costa, L. T., Rozenblum, E., Weinstein, C. L., Fischer, A., Yeo, C. J., Hruban, R. H., et al. (1996) · Science · doi:10.1126/science.271.5247.350 · Cited by 2,337
TGF-β Signaling in Tumor Suppression and Cancer Progression
Derynck, R., Akhurst, R. J., & Balmain, A. (2001) · Nature Genetics · doi:10.1038/ng1001-117 · Cited by 2,275
Cui, W., Fowlis, D. J., Bryson, S., Duffie, E., Ireland, H., Balmain, A., & Akhurst, R. J. (1996) · Cell · doi:10.1016/s0092-8674(00)80127-0 · Cited by 628
Cited by
TGFβ biology in cancer progression and immunotherapy
Derynck, R., Turley, S. J., & Akhurst, R. J. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-0403-1 · Cited by 944
TGF-β in Hepatic Stellate Cell Activation and Liver Fibrogenesis—Updated 2019
Dewidar, B., Meyer, C., Dooley, S., & Meindl-Beinker, A. N. (2019) · Cells · doi:10.3390/cells8111419 · Cited by 837
Specificity, versatility, and control of TGF-β family signaling
Derynck, R., & Budi, E. H. (2019) · Science Signaling · doi:10.1126/scisignal.aav5183 · Cited by 785
TGF-β Superfamily Signaling in Embryonic Development and Homeostasis
Wu, M. Y., & Hill, C. S. (2009) · Developmental Cell · doi:10.1016/j.devcel.2009.02.012 · Cited by 746
Self-citationAlterations in components of the TGF-β superfamily signaling pathways in human cancer
LEVY, L., & HILL, C. (2006) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2005.09.009 · Cited by 539
Self-citation
Metadata
- Authors
- Levy, L., & Hill, C. S.
- Venue
- Molecular and Cellular Biology
- Publisher
- Informa UK Limited
- Published
- 2005-09-01
- Volume
- 25
- Issue
- 18
- Pages
- 8108-8125
- ISSN
- 0270-7306 (ISSN-L)
- 1098-5549
- OpenAlex
- W2131936396
- Cited by
- 342
- References
- 4
- FWCI
- 8.30
- 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: Smad4 Dependency Defines Two Classes of Transforming Growth Factor β (TGF-β) Target Genes and Distinguishes TGF-β-Induced Epithelial-Mesenchymal Transition from Its Antiproliferative and Migratory Responses. https://app.cochat.ai/papers/10.1128/mcb.25.18.8108-8125.2005
- The paper
- Levy, L., & Hill, C. S. (2005). Smad4 Dependency Defines Two Classes of Transforming Growth Factor β (TGF-β) Target Genes and Distinguishes TGF-β-Induced Epithelial-Mesenchymal Transition from Its Antiproliferative and Migratory Responses. Molecular and Cellular Biology. https://doi.org/10.1128/mcb.25.18.8108-8125.2005
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.