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Quantitative Measurement of γ-Secretase-mediated Amyloid Precursor Protein and Notch Cleavage in Cell-based Luciferase Reporter Assay Platforms
Published on: January 25, 2018
Gene expression profiling in cells with enhanced gamma-secretase activity
Alexandra I Magold1, Matthias Cacquevel, Patrick C Fraering
1Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
Background:
Processing by gamma-secretase of many type-I membrane protein substrates triggers signaling cascades by releasing intracellular domains (ICDs) that, following nuclear translocation, modulate the transcription of different genes regulating a diverse array of cellular and biological processes. Because the list of gamma-secretase substrates is growing quickly and this enzyme is a cancer and Alzheimer's disease therapeutic target, the mapping of gamma-secretase activity susceptible gene transcription is important for sharpening our view of specific affected genes, molecular functions and biological pathways.
Methodology/Principal Findings:
To identify genes and molecular functions transcriptionally affected by gamma-secretase activity, the cellular transcriptomes of Chinese hamster ovary (CHO) cells with enhanced and inhibited gamma-secretase activity were analyzed and compared by cDNA microarray. The functional clustering by FatiGO of the 1,981 identified genes revealed over- and under-represented groups with multiple activities and functions. Single genes with the most pronounced transcriptional susceptibility to gamma-secretase activity were evaluated by real-time PCR. Among the 21 validated genes, the strikingly decreased transcription of PTPRG and AMN1 and increased transcription of UPP1 potentially support data on cell cycle disturbances relevant to cancer, stem cell and neurodegenerative diseases' research. The mapping of interactions of proteins encoded by the validated genes exclusively relied on evidence-based data and revealed broad effects on Wnt pathway members, including WNT3A and DVL3. Intriguingly, the transcription of TERA, a gene of unknown function, is affected by gamma-secretase activity and was significantly altered in the analyzed human Alzheimer's disease brain cortices.
Conclusions/Significance:
Investigating the effects of gamma-secretase activity on gene transcription has revealed several affected clusters of molecular functions and, more specifically, 21 genes that hold significant potential for a better understanding of the biology of gamma-secretase and its roles in cancer and Alzheimer's disease pathology.
Insights
Gamma-secretase activity impacts gene transcription, affecting pathways relevant to cancer and Alzheimer's disease. This study identified 21 key genes, including TERA, altered by this enzyme.
Area of Science:
- Molecular Biology
- Genomics
- Cellular Biology
Background:
- Gamma-secretase processes type-I membrane proteins, releasing intracellular domains (ICDs) that modulate gene transcription.
- Gamma-secretase is a therapeutic target for cancer and Alzheimer's disease.
- Understanding gamma-secretase's transcriptional targets is crucial for disease research.
Purpose of the Study:
- To identify genes and molecular functions transcriptionally regulated by gamma-secretase activity.
- To investigate the role of gamma-secretase in cellular processes relevant to disease.
Main Methods:
- Comparative transcriptomic analysis of Chinese hamster ovary (CHO) cells with altered gamma-secretase activity using cDNA microarray.
- Functional clustering of identified genes using FatiGO.
- Validation of key genes by real-time PCR.
Main Results:
- Analysis identified 1,981 genes transcriptionally affected by gamma-secretase activity.
- Twenty-one genes were validated, including decreased transcription of PTPRG and AMN1, and increased transcription of UPP1, relevant to cell cycle.
- Significant alterations in Wnt pathway members (WNT3A, DVL3) and TERA (a gene of unknown function) were observed.
- TERA transcription was also altered in Alzheimer's disease brain cortices.
Conclusions:
- Gamma-secretase activity influences transcription of diverse molecular functions and specific genes.
- The 21 validated genes provide insights into gamma-secretase's role in cancer and Alzheimer's disease.
- TERA represents a novel gene potentially linked to Alzheimer's pathology.
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