Label-free spatio-temporal monitoring of cytosolic mass, osmolarity, and volume in living cells
| Autor: | Fredrik Höök, Gavin D. M. Jeffries, Daniel Midtvedt, Erik Olsén |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Science Holography General Physics and Astronomy 02 engineering and technology Saccharomyces cerevisiae General Biochemistry Genetics and Molecular Biology Article 03 medical and health sciences Cytosol Osmotic Pressure Lab-On-A-Chip Devices Microscopy lcsh:Science Multidisciplinary Molar mass Osmotic concentration Chemistry Osmolar Concentration Water Biological Transport General Chemistry 021001 nanoscience & nanotechnology Refractometry 030104 developmental biology Product (mathematics) Biophysics lcsh:Q Production (computer science) Digital holographic microscopy Single-Cell Analysis 0210 nano-technology Macromolecule |
| Zdroj: | Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019) Nature Communications |
| ISSN: | 2041-1723 |
| Popis: | Microorganisms adapt their biophysical properties in response to changes in their local environment. However, quantifying these changes at the single-cell level has only recently become possible, largely relying on fluorescent labeling strategies. In this work, we utilize yeast (Saccharomyces cerevisiae) to demonstrate label-free quantification of changes in both intracellular osmolarity and macromolecular concentration in response to changes in the local environment. By combining a digital holographic microscope with a millifluidic chip, the temporal response of cellular water flux was successfully isolated from the rate of production of higher molecular weight compounds, in addition to identifying the produced compounds in terms of the product of their refractive index increment \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\left( {\frac{{{{{\mathrm{d}}n}}}}{{{{{\mathrm{d}}c}}}}} \right)$$\end{document}dndc and molar mass. The ability to identify, quantify and temporally resolve multiple biophysical processes in living cells at the single cell level offers a crucial complement to label-based strategies, suggesting broad applicability in studies of a wide-range of cellular processes. Label-free, spatio-temporal imaging of cellular physiological responses is challenging. Here the authors combine digital holographic microscopy with a millifluidic chip and mathematical modelling to quantify cell volume, mass and cell uptake under changing environmental conditions. |
| Databáze: | OpenAIRE |
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