scholarly journals Towards Real-Time Control of Gene Expression at the Single Cell Level: A Stochastic Control Approach

2014 ◽  
pp. 155-172 ◽  
Author(s):  
Lakshmeesh R. M. Maruthi ◽  
Ilya Tkachev ◽  
Alfonso Carta ◽  
Eugenio Cinquemani ◽  
Pascal Hersen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Real Time ◽  
Stochastic Control ◽  
Single Cell Level ◽  
Real Time Control ◽  
Cell Level ◽  
Control Of Gene Expression ◽  
Control Approach ◽  
Time Control

TOWARDS REAL-TIME CONTROL OF GENE EXPRESSION: CONTROLLING THE HOG SIGNALING CASCADE

2010 ◽  
pp. 338-349 ◽  
Author(s):  
JANNIS UHLENDORF ◽  
SAMUEL BOTTANI ◽  
FRANÇOIS FAGES ◽  
PASCAL HERSEN ◽  
GREGORY BATT
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Signaling Cascade ◽  
Real Time Control ◽  
Control Of Gene Expression ◽  
Time Control

Reporter gene expression at single-cell level characterized with real-time RT-PCR, chemiluminescence, fluorescence, and electrochemical imaging

FEBS Letters ◽  
2010 ◽  
Vol 584 (18) ◽  
pp. 4000-4008 ◽  
Author(s):  
Hitoshi Shiku ◽  
Daisuke Okazaki ◽  
Junya Suzuki ◽  
Yasufumi Takahashi ◽  
Tatsuya Murata ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Real Time ◽  
Reporter Gene ◽  
Reporter Gene Expression ◽  
Single Cell Level ◽  
Rt Pcr ◽  
Cell Level ◽  
Electrochemical Imaging

scholarly journals From a discrete to continuous actuation for improved real-time control of gene expression in mammalian cells

2016 ◽  
Vol 49 (26) ◽  
pp. 14-19 ◽  
Author(s):  
Lorena Postiglione ◽  
Marco Santorelli ◽  
Barbara Tumaini ◽  
Diego di Bernardo
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Mammalian Cells ◽  
Real Time Control ◽  
Control Of Gene Expression ◽  
Time Control ◽  
Expression In Mammalian Cells

Towards Real-Time Control of Gene Expression: in silico Analysis*

2011 ◽  
Vol 44 (1) ◽  
pp. 14844-14850 ◽  
Author(s):  
Jannis Uhlendorf ◽  
Pascal Hersen ◽  
Gregory Batt
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
In Silico ◽  
In Silico Analysis ◽  
Real Time Control ◽  
Control Of Gene Expression ◽  
Time Control ◽  
Silico Analysis

scholarly journals Monitoring the Single-Cell Stress Response of the Diatom Thalassiosira pseudonana by Quantitative Real-Time Reverse Transcription-PCR

2013 ◽  
Vol 79 (6) ◽  
pp. 1850-1858 ◽  
Author(s):  
Xu Shi ◽  
Weimin Gao ◽  
Shih-hui Chao ◽  
Weiwen Zhang ◽  
Deirdre R. Meldrum
Keyword(s):  
Gene Expression ◽  
Stress Response ◽  
Single Cell ◽  
Real Time ◽  
Reverse Transcription ◽  
Thalassiosira Pseudonana ◽  
Single Cell Level ◽  
Cell Level ◽  
Content Type ◽  
Reverse Transcription Pcr

ABSTRACTDirectly monitoring the stress response of microbes to their environments could be one way to inspect the health of microorganisms themselves, as well as the environments in which the microorganisms live. The ultimate resolution for such an endeavor could be down to a single-cell level. In this study, using the diatomThalassiosira pseudonanaas a model species, we aimed to measure gene expression responses of this organism to various stresses at a single-cell level. We developed a single-cell quantitative real-time reverse transcription-PCR (RT-qPCR) protocol and applied it to determine the expression levels of multiple selected genes under nitrogen, phosphate, and iron depletion stress conditions. The results, for the first time, provided a quantitative measurement of gene expression at single-cell levels inT. pseudonanaand demonstrated that significant gene expression heterogeneity was present within the cell population. In addition, different expression patterns between single-cell- and bulk-cell-based analyses were also observed for all genes assayed in this study, suggesting that cell response heterogeneity needs to be taken into consideration in order to obtain accurate information that indicates the environmental stress condition.

Gene expression profiling of the different stages of Arabidopsis thaliana trichome development on the single cell level

2008 ◽  
Vol 46 (2) ◽  
pp. 160-173 ◽  
Author(s):  
Sergiy Kryvych ◽  
Victoria Nikiforova ◽  
Michel Herzog ◽  
Daniel Perazza ◽  
Joachim Fisahn
Keyword(s):  
Gene Expression ◽  
Arabidopsis Thaliana ◽  
Single Cell ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Single Cell Level ◽  
Cell Level ◽  
Trichome Development

scholarly journals On the Use of a Real-Time Control Approach for Urban Stormwater Management

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2842
Author(s):  
Mario Maiolo ◽  
Stefania Anna Palermo ◽  
Anna Chiara Brusco ◽  
Behrouz Pirouz ◽  
Michele Turco ◽  
...  
Keyword(s):  
Real Time ◽  
Stormwater Management ◽  
Risk Mitigation ◽  
Real Time Control ◽  
Urban Stormwater ◽  
Real Time System ◽  
Control Approach ◽  
Urban Stormwater Management ◽  
Time Control ◽  
Control Configuration

The real-time control (RTC) system is a valid and cost-effective solution for urban stormwater management. This paper aims to evaluate the beneficial effect on urban flooding risk mitigation produced by applying RTC techniques to an urban drainage network by considering different control configuration scenarios. To achieve the aim, a distributed real-time system, validated in previous studies, was considered. This approach uses a smart moveable gates system, controlled by software agents, managed by a swarm intelligence algorithm. By running the different scenarios by a customized version of the Storm Water Management Model (SWMM), the findings obtained show a redistribution of conduits filling degrees, exploiting the whole system storage capacity, with a significant reduction of node flooding and total flood volume.

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