The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Identification of Id4 as a regulator of BRCA1 expression by using a ribozyme-library-based inverse genomics approach
Open accessAbstract
Expression of the breast and ovarian cancer susceptibility gene BRCA1 is down-regulated in sporadic breast and ovarian cancer cases. Therefore, the identification of genes involved in the regulation of BRCA1 expression might lead to new insights into the pathogenesis and treatment of these tumors. In the present study, an “inverse genomics” approach based on a randomized ribozyme gene library was applied to identify cellular genes regulating BRCA1 expression. A ribozyme gene library with randomized target recognition sequences was introduced into human ovarian cancer-derived cells stably expressing a selectable marker [enhanced green fluorescence protein (EGFP)] under the control of the BRCA1 promoter. Cells in which BRCA1 expression was upregulated by particular ribozymes were selected through their concomitant increase in EGFP expression. The cellular target gene of one ribozyme was identified to be the dominant negative transcriptional regulator Id4 . Modulation of Id4 expression resulted in inversely regulated expression of BRCA1 . In addition, increase in Id4 expression was associated with the ability of cells to exhibit anchorage-independent growth, demonstrating the biological relevance of this gene. Our data suggest that Id4 is a crucial gene regulating BRCA1 expression and might therefore be important for the BRCA1 regulatory pathway involved in the pathogenesis of sporadic breast and ovarian 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
Jen, Y., Weintraub, H., & Benezra, R. (1992) · Genes & Development · doi:10.1101/gad.6.8.1466 · Cited by 471
Catteau, A., Harris, W. H., Xu, C.-F., & Solomon, E. (1999) · Oncogene · doi:10.1038/sj.onc.1202509 · Cited by 354
Cited by
Iniparib plus Chemotherapy in Metastatic Triple-Negative Breast Cancer
O'Shaughnessy, J., Osborne, C., Pippen, J. E., Yoffe, M., Patt, D., Rocha, C., Koo, I. C., Sherman, B. M., & Bradley, C. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1011418 · Cited by 817
BRCA1 and BRCA2 and the genetics of breast and ovarian cancer
Welcsh, P. L. (2001) · Human Molecular Genetics · doi:10.1093/hmg/10.7.705 · Cited by 648
Self-citationBRCA1 dysfunction in sporadic basal-like breast cancer
Turner, N. C., Reis-Filho, J. S., Russell, A. M., Springall, R. J., Ryder, K., Steele, D., Savage, K., Gillett, C. E., Schmitt, F. C., Ashworth, A., et al. (2007) · Oncogene · doi:10.1038/sj.onc.1210014 · Cited by 573
Targeting the PI3K/AKT/mTOR pathway in triple-negative breast cancer: a review
Costa, R. L. B., Han, H. S., & Gradishar, W. J. (2018) · Breast Cancer Research and Treatment · doi:10.1007/s10549-018-4697-y · Cited by 439
Lee, P. D., Sladek, R., Greenwood, C. M. T., & Hudson, T. J. (2002) · Genome Research · doi:10.1101/gr.217802 · Cited by 369
Metadata
- Authors
- Beger, C., Pierce, L. N., Krüger, M., Marcusson, E. G., Robbins, J. M., Welcsh, P., Welch, P. J., Welte, K., King, M.-C., Barber, J. R., & Wong-Staal, F.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2001-01-02
- Volume
- 98
- Issue
- 1
- Pages
- 130-135
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2097881747
- Cited by
- 221
- References
- 2
- FWCI
- 10.01
- 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: Identification of Id4 as a regulator of BRCA1 expression by using a ribozyme-library-based inverse genomics approach. https://app.cochat.ai/papers/10.1073/pnas.98.1.130
- The paper
- Beger, C., Pierce, L. N., Krüger, M., Marcusson, E. G., Robbins, J. M., Welcsh, P., Welch, P. J., Welte, K., King, M.-C., Barber, J. R., & Wong-Staal, F. (2001). Identification of Id4 as a regulator of BRCA1 expression by using a ribozyme-library-based inverse genomics approach. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.98.1.130
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.