The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Activation of PKA leads to mesenchymal-to-epithelial transition and loss of tumor-initiating ability
Open accessAbstract
Have cancer stem cells MET their match?: Solid tumors have been hypothesized to contain a subset of highly aggressive cells that fuel tumor growth and metastasis. The search is on for drugs that selectively kill or diminish the malignant properties of these tumor-initiating cells (TICs; previously called “cancer stem cells”). Pattabiraman et al. hypothesized that compounds that induce TICs to undergo a phenotypic change called the mesenchymal-to-epithelial transition (MET) would therefore cause TICs to lose their tumor-initiating ability. Indeed, drugs activating the protein kinase A signaling pathway triggered an epigenetic reprogramming of TICs that resulted in the cells acquiring a more benign epithelial-like phenotype. Science , this issue p. 10.1126/science.aad3680
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Cites
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
Differential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
Robinson, J. T., Thorvaldsdóttir, H., Winckler, W., Guttman, M., Lander, E. S., Getz, G., & Mesirov, J. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1754 · Cited by 15,390
Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r36 · Cited by 12,668
Prospective identification of tumorigenic breast cancer cells
Al‐Hajj, M., Wicha, M. S., Benito‐Hernández, A., Morrison, S. J., & Clarke, M. F. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0530291100 · Cited by 10,579
The Epithelial-Mesenchymal Transition Generates Cells with Properties of Stem Cells
Mani, S. A., Guo, W., Liao, M.-J., Eaton, E. N., Ayyanan, A., Zhou, A. Y., Brooks, M. W., Reinhard, F., Zhang, C. C., Shipitsin, M. V., et al. (2008) · Cell · doi:10.1016/j.cell.2008.03.027 · Cited by 8,839
Self-citationRegulatory networks defining EMT during cancer initiation and progression
Craene, B. D., & Berx, G. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3447 · Cited by 2,487
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Gulati, G. S., Sikandar, S. S., Wesche, D. J., Manjunath, A., Bharadwaj, A., Berger, M. J., Ilagan, F., Kuo, A. H., Hsieh, R. W., Cai, S., et al. (2020) · Science · doi:10.1126/science.aax0249 · Cited by 1,571
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Metadata
- Authors
- Pattabiraman, D. R., Bierie, B., Kober, K. I., Thiru, P., Krall, J. A., Zill, C., Reinhardt, F., Tam, W. L., & Weinberg, R. A.
- Affiliations
- Whitehead Institute for Biomedical Research (US)
- Corresponding author
- Weinberg, Robert A.
- ORCID
- Venue
- Science
- Published
- 2016-03-04
- Volume
- 351
- Issue
- 6277
- Pages
- aad3680-aad3680
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC5131720
- OpenAlex
- W2289283229
- Cited by
- 332
- References
- 60
- Citations by year
- 2026: 13 · 2025: 15 · 2024: 32 · 2023: 26 · 2022: 35 · 2021: 36 · 2020: 47 · 2019: 32 · 2018: 36 · 2017: 41 · 2016: 18
- FWCI
- 22.81
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- PMC
- Funders
- National Health and Medical Research Council of Australia (NHMRC APP1071853)
- National Research Foundation, Singapore (NRF-NRFF2015-04)
- National Medical Research Council, Singapore (NMRC/TCR/007-NCC/2013)
- Ludwig Center for Molecular Oncology at MIT
- Breast Cancer Research Foundation
- Samuel Waxman Cancer Research Foundation
- NIH (R01-CA078461)
- American Cancer Society
- D. K. Ludwig Foundation Cancer Research
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- protein kinase A, mesenchymal-epithelial transition, cancer stem cells, PHF2, histone demethylase, epigenetic reprogramming, cAMP signaling, mammary epithelial cells, differentiation therapy
- MeSH terms
- Adenosine Monophosphate, Animals, Breast Neoplasms, Cell Transformation, Neoplastic, Cholera Toxin, Enzyme Activation, Epithelial Cells, Female, Colforsin, Humans, Mesoderm, Neoplastic Stem Cells, Second Messenger Systems, Cyclic AMP-Dependent Protein Kinases, Homeodomain Proteins, Xenograft Model Antitumor Assays, Mammary Glands, Human, Epigenesis, Genetic, Cell Line, Tumor, Mice, Histone Demethylases, Epithelial-Mesenchymal Transition
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