Dechant, R. | Search bioRxiv

bioRxiv2020

Coincidence detection of mitogenic signals via cytosolic pH regulates Cyclin D1 expression

Enhanced cell growth and proliferation are accompanied by profound changes in cellular metabolism. Originally identified as the Warburg effect in cancer, such metabolic changes are also common under physiological conditions and include increased fermentation and elevated cytosolic pH (pHc)1,2. However, how these changes contribute to enhanced cell growth and proliferation is unclear. Here, we demonstrate that elevated pHc specifically orchestrates an E2F-dependent transcriptional program to drive cell proliferation by promoting Cyclin D1 expression. pHc-dependent transcription of Cyclin D1 requires the transcription factors CREB1/ATF1 and ETS1 and the Histone Acetyltransferases p300/CBP. Interestingly, biochemical characterization revealed that the CREB1-p300/CBP interaction acts as a pH-sensor and coincidence detector linking different mitotic signals to Cyclin D1 transcription. We also show that elevated pHc contributes to increased Cyclin D1 expression in Malignant Pleural Mesotheliomas (MPMs) and renders them hypersensitive to pharmacological reduction of pHc. Taken together, these data demonstrate that elevated pHc is a critical cellular signal regulating G1 progression and provide a mechanism linking elevated pHc to oncogenic activation of Cyclin D1 in MPMs and possibly other Cyclin D1-dependent tumors. Thus, an increase of pHc may represent a functionally important, early event in the etiology of cancer amenable to therapeutic intervention.

cell biology↗

bioRxiv2019

Ultra High-Throughput Multiparametric Imaging Flow Cytometry: Towards Diffraction-Limited Sub-Cellular Detection

Flow cytometry is widely recognized as the gold-standard technique for the analysis and enumeration of heterogeneous cellular populations and has become an indispensable tool in diagnostics,1 rare-cell detection2 and single-cell proteomics.3 Although contemporary flow cytometers are able to analyse many thousands of cells per second, with classification based on scattering or fluorescence criteria, the vast majority require unacceptably large sample volumes, and do not allow the acquisition of spatial information. Herein, we report a sheathless, microfluidic imaging flow cytometer that incorporates stroboscopic illumination for blur-free fluorescence and brightfield detection at analytical throughputs in excess of 60,000 cells/s and 400,000 cells per second respectively. Our imaging platform is capable of multi-parametric fluorescence quantification and subcellular (co-)localization analysis of cellular structures down to 500 nm with microscopy image quality. We demonstrate the efficacy of our approach by performing challenging high-throughput localization analysis of cytoplasmic RNA granules in yeast and human cells. Results suggest significant utility of the imaging flow cytometer in the screening of rare events at the subcellular level for diagnostic applications.

bioengineering↗