Dataset Information

Multiplex blood reporters for simultaneous monitoring of cellular processes.

ABSTRACT: Reporters secreted into the conditioned medium of cells in culture or into blood in vivo have shown to be useful tools for simple and noninvasive monitoring of biological processes in real-time. Here, we characterize the naturally secreted Vargula luciferase as a secreted blood reporter and show that this reporter can be multiplexed with the secreted Gaussia luciferase and alkaline phosphatase for simultaneous monitoring of three different cellular processes in the same biological system. We applied this system to monitor the response of three different subsets of glioma cells to a clinically relevant chemotherapeutic agent in the same well in culture or animal in vivo. This system could be extended to any field to detect multiple processes in the same biological system and is amenable for high-throughput screening to find drugs that affect multiple cellular populations/phenomena simultaneously.

SUBMITTER: Bovenberg MS

PROVIDER: S-EPMC3858835 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Multiplex blood reporters for simultaneous monitoring of cellular processes.

Bovenberg M Sarah S MS Degeling M Hannah MH Hejazi Seyedali S Amante Romain J RJ van Keulen Marte M Jeuken Judith W M JW Akbaripanahi Sepideh S Vleggeert-Lankamp Carmen L A CL Tannous Marie M Wesseling Pieter P Wurdinger Thomas T Tannous Bakhos A BA

Analytical chemistry 20131016 21

Reporters secreted into the conditioned medium of cells in culture or into blood in vivo have shown to be useful tools for simple and noninvasive monitoring of biological processes in real-time. Here, we characterize the naturally secreted Vargula luciferase as a secreted blood reporter and show that this reporter can be multiplexed with the secreted Gaussia luciferase and alkaline phosphatase for simultaneous monitoring of three different cellular processes in the same biological system. We app ...[more]

PMID: 24131224

Similar Datasets

Project description:Recently, illicit drug use has become more widespread and is linked to problems with crime and public health. These drugs disrupt consciousness, affecting perceptions and feelings. Combining stimulants and depressants to suppress the effect of drugs has become the most common reason for drug overdose deaths. On-site platforms for illicit-drug detection have gained an important role in dealing, without any excess equipment, long process, and training, with drug abuse and drug trafficking. Consequently, the development of rapid, sensitive, noninvasive, and reliable multiplex drug-detecting platforms has become a major necessity. In this study, a multiplex laser-scribed graphene (LSG) sensing platform with one counter, one reference, and three working electrodes was developed for rapid and sensitive electrochemical detection of amphetamine (AMP), cocaine (COC), and benzodiazepine (BZD) simultaneously in saliva samples. The multidetection sensing system was combined with a custom-made potentiostat to achieve a complete point-of-care (POC) platform. Smartphone integration was achieved by a customized application to operate, display, and send data. To the best of our knowledge, this is the first multiplex LSG-based electrochemical platform designed for illicit-drug detection with a custom-made potentiostat device to build a complete POC platform. Each working electrode was optimized with standard solutions of AMP, COC, and BZD in the concentration range of 1.0 pg/mL-500 ng/mL. The detection limit of each illicit drug was calculated as 4.3 ng/mL for AMP, 9.7 ng/mL for BZD, and 9.0 ng/mL for COC. Healthy and MET (methamphetamine) patient saliva samples were used for the clinical study. The multiplex LSG sensor was able to detect target analytes in real saliva samples successfully. This multiplex detection device serves the role of a practical and affordable alternative to conventional drug-detection methods by combining multiple drug detections in one portable platform.

Project description:Bioluminescence rhythms from cellular reporters have become the most common method used to quantify oscillations in circadian gene expression. These experimental systems can reveal phase and amplitude change resulting from circadian disturbances, and can be used in conjunction with mathematical models to lend further insight into the mechanistic basis of clock amplitude regulation. However, bioluminescence experiments track the mean output from thousands of noisy, uncoupled oscillators, obscuring the direct effect of a given stimulus on the genetic regulatory network. In many cases, it is unclear whether changes in amplitude are due to individual changes in gene expression level or to a change in coherence of the population. Although such systems can be modeled using explicit stochastic simulations, these models are computationally cumbersome and limit analytical insight into the mechanisms of amplitude change. We therefore develop theoretical and computational tools to approximate the mean expression level in large populations of noninteracting oscillators, and further define computationally efficient amplitude response calculations to describe phase-dependent amplitude change. At the single-cell level, a mechanistic nonlinear ordinary differential equation model is used to calculate the transient response of each cell to a perturbation, whereas population-level dynamics are captured by coupling this detailed model to a phase density function. Our analysis reveals that amplitude changes mediated at either the individual-cell or the population level can be distinguished in tissue-level bioluminescence data without the need for single-cell measurements. We demonstrate the effectiveness of the method by modeling experimental bioluminescence profiles of light-sensitive fibroblasts, reconciling the conclusions of two seemingly contradictory studies. This modeling framework allows a direct comparison between in vitro bioluminescence experiments and in silico ordinary differential equation models, and will lead to a better quantitative understanding of the factors that affect clock amplitude.

Dataset Information

Multiplex blood reporters for simultaneous monitoring of cellular processes.

Publications

Multiplex blood reporters for simultaneous monitoring of cellular processes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets