Cell-based biosensors and bioelectronics for health and environment: From poly sensing to deconvoluting complexity and heterogeneity

Biosensors & Bioelectronics

ISSN: 2155-6210

Open Access

Cell-based biosensors and bioelectronics for health and environment: From poly sensing to deconvoluting complexity and heterogeneity

6th International Conference and Exhibition on Biosensors & Bioelectronics

September 22-23, 2016 Phoenix, USA

Mandana Veiseh

Palo Alto Research Center, USA
Lawrence Berkeley National Laboratories, USA

Posters & Accepted Abstracts: J Biosens Bioelectron

Abstract :

Recent decades have witnessed many advances in development of Cell-Based Biosensors (CBBs) for addressing clinical, environmental and toxicological problems. While some could be useful means for diagnosis, prognosis and treatments of lethal diseases such as metastatic cancers or for precision medicine, far too many have not translated into on-site use. Contributing reasons are sensitivity of cells to micro- and nano-environmental alterations that result in noise and distortion from optimum condition, lower specificity of cell-based- compared to nucleic-acid- or antibody-based sensors, and longevity concerns. These CBBs and their integrated bioelectronics, if devised and targeted to address the noted shortcomings, are capable of providing comprehensive functional information and insights into the mechanisms of actions upon cellular interaction with bioactive stimuli (such as bioprobes, drugs, and environmental challenges) or during expression of useful biomarkers. The complexity, heterogeneity, and multi-parameter nature of these processes require development of high-performance and fieldready technologies suitable for handling and analyzing large numbers of heterogeneous samples and providing quantitative ideally digitized, predictive, and integrated readouts from living cells. This study presents technologies that have advanced our understanding, including multi-omics, imaging, and label-specific chemical assays, followed by some examples of missing links for proper tackling of aggressive disease states regardless of the culprits. The promise of polysensing technologies for capturing multiplexed biomarkers and temporal/spatial correlations that would otherwise be missed by static and label-specific measurements on fixed cells or summing of single mode biomarkers sensed by separate equipment or at different times will be discussed.

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