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Updated: May 28, 2026
Visualization of DNA Repair Proteins Interaction by Immunofluorescence
Published on: June 26, 2020
Image analysis of colocalization of nuclear DNA and GFP labelled HIF-1α in stable transformants
Takehito Goto1, Michihiko Sato, Eiji Takahashi
1Department of Systems Life Engineering, Maebashi Institute of Technology, 460-1 Kamisadori, Maebashi.
Abstract:
HIF-1α is regarded as a target for drug development in several diseases such as cancer. For high throughput screening of HIF-1α-targeted drug, we need to examine the activity quantitatively. In the present study, we proposed a method where stable expression system of HIF-1α was combined with image correlation analysis. When the stable transformants were labeled with DRAQ5, we could detect Co2+-induced nuclear translocation by the use of cross-correlation analysis of the dual labeling images. In the case of high throughput screening for HIF-1α-targeted drug, we should use Pearson's correlation coefficient to judge nuclear translocation.
Insights
This study introduces a new method for quantifying Hypoxia-Inducible Factor 1-alpha (HIF-1α) activity using image correlation analysis. This technique aids in high-throughput drug screening for diseases like cancer by accurately measuring HIF-1α nuclear translocation.
Area of Science:
- Biochemistry
- Cell Biology
- Drug Discovery
Background:
- Hypoxia-Inducible Factor 1-alpha (HIF-1α) is a critical regulator of cellular response to hypoxia.
- HIF-1α is a validated therapeutic target for various diseases, including cancer.
- Quantitative assessment of HIF-1α activity is essential for effective drug development.
Purpose of the Study:
- To develop a robust method for quantitative analysis of HIF-1α activity.
- To enable high-throughput screening (HTS) of HIF-1α-targeted drugs.
- To validate a novel image correlation analysis technique for drug discovery.
Main Methods:
- Establishment of a stable HIF-1α expression system in cells.
- Dual-labeling of cells with DRAQ5 for nuclear staining.
- Application of cross-correlation analysis on dual-labeling images to detect nuclear translocation.
- Utilizing Pearson's correlation coefficient for quantitative assessment.
Main Results:
- Successfully detected Cobalt (Co2+)-induced nuclear translocation of HIF-1α.
- Demonstrated the efficacy of image correlation analysis for quantitative activity measurement.
- Validated Pearson's correlation coefficient as a reliable metric for HIF-1α nuclear translocation in HTS.
Conclusions:
- The proposed method combining stable expression and image correlation analysis is effective for quantitative HIF-1α activity assessment.
- This approach facilitates high-throughput screening for HIF-1α-targeted drug discovery.
- The use of Pearson's correlation coefficient provides a quantitative basis for judging HIF-1α nuclear translocation in drug screening assays.
