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https://doi.org/10.1038/srep08...
Article . 2015 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://doi.org/10.1038/srep08...
Article
License: CC BY
Data sources: UnpayWall
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PubMed Central
Other literature type . 2015
License: CC BY
Data sources: PubMed Central
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The miR-199a/Brm/EGR1 axis is a determinant of anchorage-independent growth in epithelial tumor cell lines

Authors: Kobayashi, Kazuyoshi; Sakurai, Kouhei; Hiramatsu, Hiroaki; Inada, Ken-ichi; Shiogama, Kazuya; Nakamura, Shinya; Suemasa, Fumiko; +7 Authors

The miR-199a/Brm/EGR1 axis is a determinant of anchorage-independent growth in epithelial tumor cell lines

Abstract

AbstractIn epithelial cells, miRNA-199a-5p/-3p and Brm, a catalytic subunit of the SWI/SNF complex were previously shown to form a double-negative feedback loop through EGR1, by which human cancer cell lines tend to fall into either of the steady states, types 1 [miR-199a(−)/Brm(+)/EGR1(−)] and 2 [miR-199a(+)/Brm (−)/EGR1(+)]. We show here, that type 2 cells, unlike type 1, failed to form colonies in soft agar and that CD44, MET, CAV1 and CAV2 (miR-199a targets), all of which function as plasma membrane sensors and can co-localize in caveolae, are expressed specifically in type 1 cells. Single knockdown of any of them suppressed anchorage-independent growth of type 1 cells, indicating that the miR-199a/Brm/EGR1 axis is a determinant of anchorage-independent growth. Importantly, two coherent feedforward loops are integrated into this axis, supporting the robustness of type 1-specific gene expression and exemplifying how the miRNA-target gene relationship can be stably sustained in a variety of epithelial tumors.

Keywords

Caveolin 2, Gene Expression Profiling, Carcinoma, Caveolin 1, Proto-Oncogene Proteins c-met, Models, Biological, Article, Gene Expression Regulation, Neoplastic, MicroRNAs, Hyaluronan Receptors, Carcinoma, Non-Small-Cell Lung, Cell Line, Tumor, Gene Knockdown Techniques, Humans, Early Growth Response Protein 1, Transcription Factors

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Green
gold
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Cancer Research