FRET excited ratiometric oxygen sensing in living tissue

Ingram, Justin; Zhang, Chunfeng; Xu, Jian

doi:10.1016/j.jneumeth.2013.01.002

Cited by 39 publications

(31 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We show experimental voltage and oxygen data from a seizure event of a typical single cell (Fig. 2, A and B, and data from Ingram et al 2013) and the model ( (Fig. 2C) compares qualitatively well with the experimental measured values.…”

Section: Resultssupporting

confidence: 74%

“…Because ion gradients reach their maximum collapse during depolarization block, energy requirements are highest at the peak of excitatory runaway excitation when inhibitory neurons may be in depolarization block. The model illustrates and offers an explanation for this experimental set of measures from current clamp, voltage clamp, and oxygen measures at several spatial scales (Žiburkus et al 2006Ingram et al 2013;and companion article, Ingram et al 2014).…”

Section: (Companion Article)mentioning

confidence: 97%

“…Although such oxygen changes with high levels of neural activity are well known, and patterns of damage to selectively vulnerable areas of the brain well characterized (such as Sommer's sector in the hippocampus, see Aitken and Schiff 1986), the methodology to examine rapid oxygen changes at small spatiotemporal scales has only become recently available (Koo et al 2004;Bahar et al 2006). To improve the spatiotemporal limitations of O 2 sensing, we designed a ratiometric nano quantum dot (NQD) fluorescence resonance energy transfer (FRET) excited optical sensor to rapidly measure interstitial oxygen quantitatively from single cell microdomains to an entire hippocampal slice with high spatiotemporal resolution (Ingram et al 2013). In a companion article (Ingram et al 2014), we used this and related technologies to perform experiments relating seizure activity at the cellular level with simultaneous real-time oxygen microdomain measurements.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Oxygen and seizure dynamics: II. Computational modeling

Wei

Ullah

Ingram

et al. 2014

Journal of Neurophysiology

Self Cite

126

View full text Add to dashboard Cite

recordings show intense neuronal firing during epileptic seizures leading to enhanced energy consumption. However, the relationship between oxygen metabolism and seizure patterns has not been well studied. Recent studies have developed fast and quantitative techniques to measure oxygen microdomain concentration during seizure events. In this article, we develop a biophysical model that accounts for these experimental observations. The model is an extension of the Hodgkin-Huxley formalism and includes the neuronal microenvironment dynamics of sodium, potassium, and oxygen concentrations. Our model accounts for metabolic energy consumption during and following seizure events. We can further account for the experimental observation that hypoxia can induce seizures, with seizures occurring only within a narrow range of tissue oxygen pressure. We also reproduce the interplay between excitatory and inhibitory neurons seen in experiments, accounting for the different oxygen levels observed during seizures in excitatory vs. inhibitory cell layers. Our findings offer a more comprehensive understanding of the complex interrelationship among seizures, ion dynamics, and energy metabolism.hippocampus; hypoxia; bifurcation; epilepsy; potassium THE BRAIN CONSUMES 20% OF the body's metabolic energy with muscles and digestive system at rest, despite being only 2% of the human body mass (Attwell and Laughlin 2001). The majority of the brain's metabolic energy is dedicated to supporting neural spiking activity, most of which is used by Na ϩ -K ϩ

show abstract

Section: Resultssupporting

confidence: 74%

Section: (Companion Article)mentioning

confidence: 97%

mentioning

confidence: 99%

See 1 more Smart Citation

Oxygen and seizure dynamics: II. Computational modeling

Wei

Ullah

Ingram

et al. 2014

Journal of Neurophysiology

Self Cite

126

View full text Add to dashboard Cite

show abstract

“…Ingram et al attempted to overcome this hurdle by using a 590 nm-emitting QD donor coupled with an oxygen-sensitive platinum(II)-octaethylporphine ketone acceptor engaged in FRET. 905 Chem. Rev.…”

Section: Cellular-based Sensingmentioning

confidence: 99%

Energy Transfer with Semiconductor Quantum Dot Bioconjugates: A Versatile Platform for Biosensing, Energy Harvesting, and Other Developing Applications

Spillmann²,

et al. 2016

View full text Add to dashboard Cite

Luminescent semiconductor quantum dots (QDs) are one of the more popular nanomaterials currently utilized within biological applications. However, what is not widely appreciated is their growing role as versatile energy transfer (ET) donors and acceptors within a similar biological context. The progress made on integrating QDs and ET in biological configurations and applications is reviewed in detail here. The goal is to provide the reader with (1) an appreciation for what QDs are capable of in this context, (2) how this field has grown over a relatively short time span, and, in particular, (3) how QDs are steadily revolutionizing the development of new biosensors along with a myriad of other photonically active nanomaterial-based bioconjugates. An initial discussion of QD materials along with key concepts surrounding their preparation and bioconjugation is provided given the defining role these aspects play in the QDs ability to succeed in subsequent ET applications. The discussion is then divided around the specific roles that QDs provide as either Förster resonance energy transfer (FRET) or charge/electron transfer donor and/or acceptor. For each QD-ET mechanism, a working explanation of the appropriate background theory and formalism is articulated before examining their biosensing and related ET utility. Other configurations such as incorporation of QDs into multistep ET processes or use of initial chemical and bioluminescent excitation are treated similarly. ET processes that are still not fully understood such as QD interactions with gold and other metal nanoparticles along with carbon allotropes are also covered. Given their maturity, some specific applications ranging from in vitro sensing assays to cellular imaging are separated and discussed in more detail. Finally a perspective on how this field will continue to evolve is provided.

show abstract

“…The generation of an action potential in neurons is an energy-consuming process, and metabolic energy is required to maintain the normal signaling activity of neurons. Pathological brain activities would take place if the energy supply is not sufficient to satisfy the metabolic consumption, such as during seizures (Bahar et al 2006;Ingram et al 2013). Hence, the energy consumption during the normal and epileptic discharge of coupled excitatory and inhibitory neurons should be considered.…”

Section: Introductionmentioning

confidence: 99%

The influence of potassium concentration on epileptic seizures in a coupled neuronal model in the hippocampus

Wang

2016

Cogn Neurodyn

View full text Add to dashboard Cite

Experiments on hippocampal slices have recorded that a novel pattern of epileptic seizures with alternating excitatory and inhibitory activities in the CA1 region can be induced by an elevated potassium ion (K ? ) concentration in the extracellular space between neurons and astrocytes (ECS-NA). To explore the intrinsic effects of the factors (such as glial K ? uptake, Na ? lateral diffusion leads to epileptic seizure in neurons only when the synaptic conductance values of the excitatory and inhibitory neurons are within an appropriate range. Finally, we propose an energy factor to measure the metabolic demand during neuron firing, and the results show that different energy demands for the normal discharges and the pathological epileptic seizures of the coupled neurons.

show abstract

FRET excited ratiometric oxygen sensing in living tissue

Cited by 39 publications

References 42 publications

Oxygen and seizure dynamics: II. Computational modeling

Oxygen and seizure dynamics: II. Computational modeling

Energy Transfer with Semiconductor Quantum Dot Bioconjugates: A Versatile Platform for Biosensing, Energy Harvesting, and Other Developing Applications

The influence of potassium concentration on epileptic seizures in a coupled neuronal model in the hippocampus

Contact Info

Product

Resources

About