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Indirect Immunofluorescence on Frozen Sections of Mouse Mammary Gland
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Epidermal growth-factor-induced transcript isoform variation drives mammary cell migration.
Wolfgang J Köstler1, Amit Zeisel, Cindy Körner
1Departments of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel.
Plos One
|December 11, 2013
Summary
Epidermal growth factor (EGF) rapidly triggers widespread transcript isoform variation (TIV) in breast cells. This TIV is crucial for cell migration, even when gene expression levels don't change.
Area of Science:
- Molecular biology
- Cell biology
- Genomics
Background:
- Signal-induced transcript isoform variation (TIV) encompasses changes in mRNA processing, including alternative promoter usage, splicing, and polyadenylation.
- Understanding the functional consequences of TIV is critical for comprehending cellular responses to external stimuli.
Purpose of the Study:
- To investigate the phenotypic relevance of signal-induced TIV in breast epithelial cells.
- To determine the temporal dynamics and scope of TIV in response to epidermal growth factor (EGF).
Main Methods:
- Utilized exon arrays to analyze TIV in breast epithelial cells stimulated with EGF.
- Employed isoform-specific small interfering RNA (siRNA) for functional screening.
- Analyzed EGF-induced changes across multiple mammary cell lines.
Main Results:
- EGF rapidly induced widespread TIV within one hour in a significant portion of the transcriptome.
- TIV was observed in genes without differential expression, highlighting its distinct role.
- EGF-dependent TIV patterns were conserved across different mammary cell lines.
- Functional screening revealed essential, non-redundant roles for specific isoforms in EGF-induced cell migration.
Conclusions:
- Signal-induced TIV plays a significant role in the rapid phenotypic adaptation of cells to extracellular signals.
- TIV contributes to cellular functions like migration independently of changes in overall gene expression levels.
- The findings underscore the importance of considering transcript isoforms when studying cellular responses and phenotypes.
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