- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Description
Fluorescent proteins (FPs) displaying distinct spectra have shed their light on a wide range of biological functions. Moreover, sophisticated biosensors engineered to contain single or multiple FPs, including Förster resonance energy transfer (FRET)-based biosensors, spatiotemporally reveal the molecular mechanisms underlying a variety of pathophysiological processes. However, their usefulness for applied life sciences has yet to be fully explored. Recently, our research group has begun to expand the potential of FPs from basic biological research to the clinic. Here, we describe a method to evaluate the responsiveness of leukemia cells from patients to tyrosine kinase inhibitors using a biosensor based on FP technology and the principle of FRET. Upon phosphorylation of the tyrosine residue of the biosensor, binding of the SH2 domain to phosphotyrosine induces conformational change of the biosensor and brings the donor and acceptor FPs into close proximity. Therefore, kinase activity and response to kinase inhibitors can be monitored by an increase and a decrease in FRET efficiency, respectively. As in basic research, this biosensor resolves hitherto arduous tasks and may provide innovative technological advances in clinical laboratory examinations. State-of-the-art detection devices that enable such innovation are also introduced.
- Tweet
Keywords
- Gene Expression Regulation, Leukemic
- Recombinant Fusion Proteins
- Fusion Proteins, bcr-abl
- Bone Marrow Cells
- Biosensing Techniques
- Flow Cytometry
- Transfection
- src Homology Domains
- Microscopy, Fluorescence
- Genes, Reporter
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive
- Fluorescence Resonance Energy Transfer
- Image Processing, Computer-Assisted
- Tumor Cells, Cultured
- Humans
- Protein Interaction Domains and Motifs
- Phosphorylation
- Software
- Protein Binding