Mandrou, Elena and Thomason, Peter A. and Paschke, Peggy I. and Paul, Nikki R. and Tweedy, Luke and Insall, Robert (2024) A reliable system for quantitative g-protein activation imaging in cancer cells. Cells, 13 (13): 1114. ISSN 2073-4409
AI Summary:
The study established a system to detect the activation of an mNeonGreen-Gi3-mCherry-G2 biosensor through the lysophosphatidic acid receptor LPAR with 2-photon time-correlated single-photon counting TCSPC FLIM.AI Topics:
Fluorescence resonance energy transfer (FRET) biosensors have proven to be an indispensable tool in cell biology and, more specifically, in the study of G-protein signalling. The best method of measuring the activation status or FRET state of a biosensor is often fluorescence lifetime imaging microscopy (FLIM), as it does away with many disadvantages inherent to fluorescence intensity-based methods and is easily quantitated. Despite the significant potential, there is a lack of reliable FLIM-FRET biosensors, and the data processing and analysis workflows reported previously face reproducibility challenges. Here, we established a system in live primary mouse pancreatic ductal adenocarcinoma cells, where we can detect the activation of an mNeonGreen-Gαi3-mCherry-Gγ2 biosensor through the lysophosphatidic acid receptor (LPAR) with 2-photon time-correlated single-photon counting (TCSPC) FLIM. This combination gave a superior signal to the commonly used mTurquoise2-mVenus G-protein biosensor. This system has potential as a platform for drug screening, or to answer basic cell biology questions in the field of G-protein signalling.
Title | A reliable system for quantitative g-protein activation imaging in cancer cells |
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Creators | Mandrou, Elena and Thomason, Peter A. and Paschke, Peggy I. and Paul, Nikki R. and Tweedy, Luke and Insall, Robert |
Identification Number | 10.3390/cells13131114 |
Date | 27 June 2024 |
Divisions | College of Medical Veterinary and Life Sciences > School of Cancer Sciences |
Publisher | MDPI |
Additional Information | Funding was provided by the UKRI Physics of Life programme (grant EP/T002123/1, PIs Prof. Laura Machesky & Prof. Daniele Faccio), the Wellcome Trust (Investigator grant 221786/Z/20/Z, to RHI), the Medical Research Council (programme grant MR/X000702/1, to RHI), and a studentship from the Glasgow Cancer Centre. Core Services and Beatson Advanced Imaging Resource at the CRUK Scotland Institute are core funded by Cancer Research UK, grant A31287. |
URI | https://pub.demo35.eprints-hosting.org/id/eprint/223 |
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Item Type | Article |
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Depositing User | Unnamed user with email ejo1f20@soton.ac.uk |
Date Deposited | 11 Jun 2025 16:36 |
Revision | 24 |
Last Modified | 12 Jun 2025 10:34 |
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