Literature DB >> 28436517

Real-time measurement of the intracellular pH of yeast cells during glucose metabolism using ratiometric fluorescent nanosensors.

Mohamed M Elsutohy1, Veeren M Chauhan, Robert Markus, Mohammed Aref Kyyaly, Saul J B Tendler, Jonathan W Aylott.   

Abstract

Intracellular pH is a key parameter that influences many biochemical and metabolic pathways that can also be used as an indirect marker to monitor metabolic and intracellular processes. Herein, we utilise ratiometric fluorescent pH-sensitive nanosensors with an extended dynamic pH range to measure the intracellular pH of yeast (Saccharomyces cerevisiae) during glucose metabolism in real-time. Ratiometric fluorescent pH-sensitive nanosensors consisting of a polyacrylamide nanoparticle matrix covalently linked to two pH-sensitive fluorophores, Oregon green (OG) and 5(6)carboxyfluorescein (FAM), and a reference pH-insensitive fluorophore, 5(6)carboxytetramethylrhodamine (TAMRA), were synthesised. Nanosensors were functionalised with acrylamidopropyltrimethyl ammonium hydrochloride (ACTA) to confer a positive charge to the nanoparticle surfaces that facilitated nanosensor delivery to yeast cells, negating the need to use stress inducing techniques. The results showed that under glucose-starved conditions the intracellular pH of yeast population (n ≈ 200) was 4.67 ± 0.15. Upon addition of d-(+)-glucose (10 mM), this pH value decreased to pH 3.86 ± 0.13 over a period of 10 minutes followed by a gradual rise to a maximal pH of 5.21 ± 0.26, 25 minutes after glucose addition. 45 minutes after the addition of glucose, the intracellular pH of yeast cells returned to that of the glucose starved conditions. This study advances our understanding of the interplay between glucose metabolism and pH regulation in yeast cells, and indicates that the intracellular pH homestasis in yeast is highly regulated and demonstrates the utility of nanosensors for real-time intracellular pH measurements.

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Year:  2017        PMID: 28436517     DOI: 10.1039/c7nr00906b

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  7 in total

1.  A ratiometric fluorescent nanoprobe consisting of ssDNA-templated silver nanoclusters for detection of histidine/cysteine, and the construction of combinatorial logic circuits.

Authors:  Xiaodong Lin; Zhe Hao; Haotian Wu; Minyang Zhao; Xia Gao; Shuo Wang; Yaqing Liu
Journal:  Mikrochim Acta       Date:  2019-08-27       Impact factor: 5.833

Review 2.  Ratiometric optical nanoprobes enable accurate molecular detection and imaging.

Authors:  Xiaolin Huang; Jibin Song; Bryant C Yung; Xiaohua Huang; Yonghua Xiong; Xiaoyuan Chen
Journal:  Chem Soc Rev       Date:  2018-04-23       Impact factor: 54.564

3.  Quantitative Analyses of the Yeast Oxidative Protein Folding Pathway In Vitro and In Vivo.

Authors:  Dave M Beal; Emma L Bastow; Gemma L Staniforth; Tobias von der Haar; Robert B Freedman; Mick F Tuite
Journal:  Antioxid Redox Signal       Date:  2019-04-25       Impact factor: 8.401

4.  Molecular crowding in single eukaryotic cells: Using cell environment biosensing and single-molecule optical microscopy to probe dependence on extracellular ionic strength, local glucose conditions, and sensor copy number.

Authors:  Jack W Shepherd; Sarah Lecinski; Jasmine Wragg; Sviatlana Shashkova; Chris MacDonald; Mark C Leake
Journal:  Methods       Date:  2020-11-04       Impact factor: 3.608

5.  Intracellular processing of silica-coated superparamagnetic iron nanoparticles in human mesenchymal stem cells.

Authors:  Richard P Harrison; Veeren M Chauhan; David Onion; Jonathan W Aylott; Virginie Sottile
Journal:  RSC Adv       Date:  2019-01-23       Impact factor: 4.036

6.  Enhanced distance-dependent fluorescence quenching using size tuneable core shell silica nanoparticles.

Authors:  Mohamed M Elsutohy; Amjad Selo; Veeren M Chauhan; Saul J B Tendler; Jonathan W Aylott
Journal:  RSC Adv       Date:  2018-10-19       Impact factor: 3.361

Review 7.  New generation of bioreactors that advance extracellular matrix modelling and tissue engineering.

Authors:  Shehnaz Ahmed; Veeren M Chauhan; Amir M Ghaemmaghami; Jonathan W Aylott
Journal:  Biotechnol Lett       Date:  2018-10-27       Impact factor: 2.461

  7 in total

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