On-line monitoring of lipid storage in yeasts using impedance spectroscopy

Maskow, Thomas; Röllich, Anita; Fetzer, Ingo; Ackermann, Jörg‐Uwe; Harms, Hauke

doi:10.1016/j.jbiotec.2008.02.014

Cited by 39 publications

(30 citation statements)

References 20 publications

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“…Additional studies comparing directly the amount of mineralized matrix and lipid droplets production to the variation of |Z(t,f)| will be necessary and might require an extended frequency range not available in our current setup. Indeed, a clear contribution of inclusions containing sparse moving ions such as lipid droplets should be expected in the 1-10 MHz range (42). Nevertheless, this study demonstrated that the two lineages derived from the same cell source acquire distinct dielectric properties throughout late differentiation and establish clearly impedance sensing as a method for quantitative real-time monitoring of ADSCs differentiation toward osteoblasts and adipocytes.…”

Section: Discussionmentioning

confidence: 76%

Real-time label-free monitoring of adipose-derived stem cell differentiation with electric cell-substrate impedance sensing

Bagnaninchi

Drummond

2011

Proc. Natl. Acad. Sci. U.S.A.

199

167

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Real-time monitoring of stem cells (SCs) differentiation will be critical to scale-up SC technologies, while label-free techniques will be desirable to quality-control SCs without precluding their therapeutic potential. We cultured adipose-derived stem cells (ADSCs) on top of multielectrode arrays and measured variations in the complex impedance Z* throughout induction of ADSCs toward osteoblasts and adipocytes. Z* was measured up to 17 d, every 180 s, over a 62.5-64kHz frequency range with an ECIS Zθ instrument. We found that osteogenesis and adipogenesis were characterized by distinct Z* time-courses. Significant differences were found (P = 0.007) as soon as 12 h post induction. An increase in the barrier resistance (Rb) up to 1.7 ohm·cm 2 was associated with early osteo-induction, whereas Rb peaked at 0.63 ohm·cm 2 for adipo-induced cells before falling to zero at t = 129 h. Dissimilarities in Z* throughout early induction (<24 h) were essentially attributed to variations in the cell-substrate parameter α. Four days after induction, cell membrane capacitance (Cm) of osteoinduced cells (Cm = 1.72 ± 0.10 μF/cm 2 ) was significantly different from that of adipo-induced cells (Cm = 2.25 ± 0.27 μF/cm 2 ), indicating that Cm could be used as an early marker of differentiation. Finally, we demonstrated long-term monitoring and measured a shift in the complex plane in the middle frequency range (1 kHz to 8 kHz) between early (t = 100 h) and late induction (t = 380 h). This study demonstrated that the osteoblast and adipocyte lineages have distinct dielectric properties and that such differences can be used to perform real-time label-free quantitative monitoring of adult stem cell differentiation with impedance sensing.noninvasive quantitative monitoring | bioimpedance S everal sources of stem cells are exploited and investigated for regenerative medicine, either to conduct in situ cell therapy or to facilitate drug discovery with in vitro stem cellbased disease models.Among them, adipose-derived stem cells (ADSCs) are adult stem cells isolated at high concentration from lipoaspirates (1, 2). They are a realistic autologous source for orthopedic and reconstructive surgery applications (3) and to develop patientspecific in vitro models for drug screening.A variety of biochemical assays are available to characterize stem cells at the molecular level. These assays have vastly contributed to improve our understanding of basic cell biology down to gene and protein expression. Paradoxically, most of these techniques are not able to characterize cells without precluding their therapeutic potential. Label-free noninvasive monitoring techniques are desirable to translate successfully basic stem cell technology to therapeutic applications. Without being able to fix, stain, lyse, or fluorescent-label the cells, few techniques remain available.Electric cell-substrate impedance sensing (ECIS) pioneered by Giaever and Keese (4-7) is a well established technique originally developed to assess barrier formation and cell motility (8-1...

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Section: Discussionmentioning

confidence: 76%

Real-time label-free monitoring of adipose-derived stem cell differentiation with electric cell-substrate impedance sensing

Bagnaninchi

Drummond

2011

Proc. Natl. Acad. Sci. U.S.A.

199

167

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“…This trend is stimulated by a decrease in conductivity (Fig. 2B) in the fed-batch mode (Maskow et al, 2008a).…”

Section: Resultsmentioning

confidence: 86%

“…In contrast, other authors (Junker et al, 1994;Maskow et al, 2008a,b) describe a non-linearity between biomass and C for S. cerevisiae until a maximal biomass concentration of 30 g L −1 dry cell weight and for A. adeninivorans (Maskow et al, 2008a,b) up to a maximal biomass concentration of 18 g L −1 dry cell weight, respectively. However, by taking into account only the log-phase, both datasets show a linear correlation between biomass and C. The nonlinear correlation between capacitance and biomass may be attributed to non-continuous growth in batch mode (Junker et al, 1994;Maskow et al, 2008b) as well as by a nitrogen limitation (Maskow et al, 2008a) and, therefore, a shift from one growth phase to another one.…”

Section: Correlation Of Capacitance and Dry Cell Weightmentioning

confidence: 97%

Online determination of viable biomass up to very high cell densities in Arxula adeninivorans fermentations using an impedance signal

Knabben

Regestein

Grumbach

et al. 2010

Journal of Biotechnology

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“…The real-time monitoring of yeast cell division by measuring the dielectric dispersion can enable to tracking of cell cycle progression using an electromagnetic induction method [199]. Recently, online monitoring of lipid storage in microorganisms (yeasts) was conducted which found that using dielectric spectroscopy data, the change in capacitance divided by the characteristic frequency being used showed a clear shift from the growth phase to the lipid accumulation phase, which could be of use for technical control of intracellular biopolymer or oil accumulation, as well as enzyme overproduction [200]. Moreover, it has been established that there exists a connection between D.L.…”

Section: Electromagnetic Applications For Production Of Algae Biofuelsmentioning

confidence: 99%

Electromagnetic Biostimulation of Living Cultures for Biotechnology, Biofuel and Bioenergy Applications

Hunt

Zavalin

Bhatnagar

et al. 2009

IJMS

126

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The surge of interest in bioenergy has been marked with increasing efforts in research and development to identify new sources of biomass and to incorporate cutting-edge biotechnology to improve efficiency and increase yields. It is evident that various microorganisms will play an integral role in the development of this newly emerging industry, such as yeast for ethanol and Escherichia coli for fine chemical fermentation. However, it appears that microalgae have become the most promising prospect for biomass production due to their ability to grow fast, produce large quantities of lipids, carbohydrates and proteins, thrive in poor quality waters, sequester and recycle carbon dioxide from industrial flue gases and remove pollutants from industrial, agricultural and municipal wastewaters. In an attempt to better understand and manipulate microorganisms for optimum production capacity, many researchers have investigated alternative methods for stimulating their growth and metabolic behavior. One such novel approach is the use of electromagnetic fields for the stimulation of growth and metabolic cascades and controlling biochemical pathways. An effort has been made in this review to consolidate the information on the current status of biostimulation research to enhance microbial growth and metabolism using electromagnetic fields. It summarizes information on the biostimulatory effects on growth and other biological processes to obtain insight regarding factors and dosages that lead to the stimulation and also what kind of processes have been reportedly affected. Diverse mechanistic theories and explanations for biological effects of electromagnetic fields on intra and extracellular environment have been discussed. The foundations of biophysical interactions such as bioelectromagnetic and biophotonic communication and organization within living systems are expounded with special consideration for spatiotemporal aspects of electromagnetic topology, leading to the potential of multipolar electromagnetic systems. The future direction for the use of biostimulation using bioelectromagnetic, biophotonic and electrochemical methods have been proposed for biotechnology industries in general with emphasis on an holistic biofuel system encompassing production of algal biomass, its processing and conversion to biofuel.

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On-line monitoring of lipid storage in yeasts using impedance spectroscopy

Cited by 39 publications

References 20 publications

Real-time label-free monitoring of adipose-derived stem cell differentiation with electric cell-substrate impedance sensing

Real-time label-free monitoring of adipose-derived stem cell differentiation with electric cell-substrate impedance sensing

Online determination of viable biomass up to very high cell densities in Arxula adeninivorans fermentations using an impedance signal

Electromagnetic Biostimulation of Living Cultures for Biotechnology, Biofuel and Bioenergy Applications

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