Literature DB >> 21761069

Non-invasive tools for measuring metabolism and biophysical analyte transport: self-referencing physiological sensing.

Eric S McLamore1, D Marshall Porterfield.   

Abstract

Biophysical phenomena related to cellular biochemistry and transport are spatially and temporally dynamic, and are directly involved in the regulation of physiology at the sub-cellular to tissue spatial scale. Real time monitoring of transmembrane transport provides information about the physiology and viability of cells, tissues, and organisms. Combining information learned from real time transport studies with genomics and proteomics allows us to better understand the functional and mechanistic aspects of cellular and sub-cellular systems. To accomplish this, ultrasensitive sensing technologies are required to probe this functional realm of biological systems with high temporal and spatial resolution. In addition to ongoing research aimed at developing new and enhanced sensors (e.g., increased sensitivity, enhanced analyte selectivity, reduced response time, and novel microfabrication approaches), work over the last few decades has advanced sensor utility through new sensing modalities that extend and enhance the data recorded by sensors. A microsensor technique based on phase sensitive detection of real time biophysical transport is reviewed here. The self-referencing technique converts non-invasive extracellular concentration sensors into dynamic flux sensors for measuring transport from the membrane to the tissue scale. In this tutorial review, we discuss the use of self-referencing micro/nanosensors for measuring physiological activity of living cells/tissues in agricultural, environmental, and biomedical applications comprehensible to any scientist/engineer. This journal is © The Royal Society of Chemistry 2011

Mesh:

Substances:

Year:  2011        PMID: 21761069     DOI: 10.1039/c0cs00173b

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  7 in total

1.  Altered glucose metabolism in Harvey-ras transformed MCF10A cells.

Authors:  Wei Zheng; Fariba Tayyari; G A Nagana Gowda; Daniel Raftery; Eric S McLamore; D Marshall Porterfield; Shawn S Donkin; Brian Bequette; Dorothy Teegarden
Journal:  Mol Carcinog       Date:  2013-09-02       Impact factor: 4.784

2.  The signal transducer NPH3 integrates the phototropin1 photosensor with PIN2-based polar auxin transport in Arabidopsis root phototropism.

Authors:  Yinglang Wan; Jan Jasik; Li Wang; Huaiqing Hao; Dieter Volkmann; Diedrik Menzel; Stefano Mancuso; František Baluška; Jinxing Lin
Journal:  Plant Cell       Date:  2012-02-28       Impact factor: 11.277

3.  1,25-dihydroxyvitamin D regulation of glucose metabolism in Harvey-ras transformed MCF10A human breast epithelial cells.

Authors:  Wei Zheng; Fariba Tayyari; G A Nagana Gowda; Daniel Raftery; Eric S McLamore; Jin Shi; D Marshall Porterfield; Shawn S Donkin; Brian Bequette; Dorothy Teegarden
Journal:  J Steroid Biochem Mol Biol       Date:  2013-04-22       Impact factor: 4.292

4.  Nanomaterial based self-referencing microbiosensors for cell and tissue physiology research.

Authors:  Jin Shi; Eric S McLamore; D Marshall Porterfield
Journal:  Biosens Bioelectron       Date:  2012-07-17       Impact factor: 10.618

5.  Emerging technologies for non-invasive quantification of physiological oxygen transport in plants.

Authors:  P Chaturvedi; M Taguchi; S L Burrs; B A Hauser; W W A W Salim; J C Claussen; E S McLamore
Journal:  Planta       Date:  2013-07-12       Impact factor: 4.116

6.  Salmonella enterica biofilm-mediated dispersal by nitric oxide donors in association with cellulose nanocrystal hydrogels.

Authors:  Massimiliano Marvasi; Ian A Durie; Eric S McLamore; Diana C Vanegas; Prachee Chaturvedi
Journal:  AMB Express       Date:  2015-05-23       Impact factor: 3.298

7.  A real-time, non-invasive, micro-optrode technique for detecting seed viability by using oxygen influx.

Authors:  Xia Xin; Yinglang Wan; Wenjun Wang; Guangkun Yin; Eric S McLamore; Xinxiong Lu
Journal:  Sci Rep       Date:  2013-10-28       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.