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Shelli L Kirstein

Publications and source records attributed to Shelli L Kirstein.

5 recordsLinked to original sources

Live cell quality control and utility of real-time cell electronic sensing for assay development.

In this paper we have explored the utility of the real-time cell electronic sensing (RTCES, ACEA Biosciences Inc., San Diego, CA) system for monitoring the quality of live cells in cell-based assays as well as for assay development. We have demonstrated that each cell type displays unique growth kinetic profiles that provide a quantitative account of cell behavior and can be used as a diagnostic tool for cellular quality control. The utility of the specific signature patterns was shown by demonstrating the significant differences in primary cell behavior depending on the supplier. In addition, the RT-CES system was able to differentiate cell behavior depending on the passage stage of the cells. The utility of the RT-CES system as an assay development tool was demonstrated in cytotoxicity assays. The RT-CES system not only provides information regarding the potency of cytotoxic compounds, but in addition relates potency to the rate of the response for each concentration of the compound tested, which is important for understanding the mechanism of compound action. Moreover, real-time display of cytotoxicity data by the RT-CES system allows for calculation of real-time 50% inhibitory concentration (IC50) values or determination of optimal IC(50) value. In summary, the RT-CES system provides high content and information-rich data that are beyond the scope of single-point assays.

Biological Assay↗

Dynamic and label-free cell-based assays using the real-time cell electronic sensing system.

Cell-based assays have become an integral part of the preclinical drug development process. Recently, noninvasive label-free cell-based assay technologies have taken center stage, offering important and distinct advantages over and in addition to traditional label-based endpoint assays. Dynamic monitoring of live cells, the preclusion of label, and kinetics are some of the fundamental features of cell-based label-free technologies. In this article we will discuss the real-time cell electronic sensing (RT-CES, ACEA Biosciences Inc., San Diego, CA) system and some of its key applications for cell-based assays such as cell proliferation and cytotoxicity, functional assays for receptor-ligand analysis, cell adhesion and spreading assays, dynamic monitoring of endothelial barrier function, and dynamic monitoring of cell migration and invasion. Also, where appropriate we will briefly discuss other label-free technologies in an application-specific manner.

Biological Assay↗

Autonomic nervous system pharmacogenomics: a progress report.

Pharmacogenetics, the inherited basis for interindividual differences in drug response, has rapidly expanded with the advent of new molecular tools and the sequencing of the human genome, yielding pharmacogenomics. We review here recent ideas and findings regarding pharmacogenomics of components of the autonomic nervous system, in particular, neuronal nicotinic acetylcholine receptors, postsynaptic receptors with which the parasympathetic and sympathetic neurotransmitters, acetylcholine (ACh) and norepinephrine, respectively, interact. The receptor subtypes that mediate these responses, M(1-3) muscarinic cholinergic receptors (mAChRs), and alpha(1A,B,D)-, alpha(2A,B,C)-, and beta(1,2,3)-adrenergic receptors (AR), show highly variable expression of genetic variants; variants of mAChRs and alpha(1)-ARs are relatively rare, whereas alpha(2)-AR and beta-AR subtype variants are quite common. The largest amount of data is available regarding variants of the latter ARs and represents efforts to associate certain receptor genotypes, most commonly, single nucleotide polymorphisms, with particular phenotypes (e.g., cardiovascular and metabolic responses). In vitro and in vivo studies have yielded inconsistent results; definitive conclusions are limited. We identify several conceptual and methodological problems with available data: sample size, ethnicity, tissue differences, coding versus noncoding variants, limited studies of haplotypes, and interaction among variants. Thus, although progress has been made in identifying genetic variation that influences drug response fo autonomic nervous system components, we are still at the early stages of defining the most critical genetic determinants and their role in human physiology and pharmacology.

Animals↗

Quantitative trait loci affecting initial sensitivity and acute functional tolerance to ethanol-induced ataxia and brain cAMP signaling in BXD recombinant inbred mice.

In previous work, we identified genetic correlations between cAMP accumulation in the cerebellum and sensitivity to the incoordinating effects of ethanol. A genetic correlation suggests that common genes underlie the phenotypes investigated. One method for provisionally identifying genes involved in a given phenotypic measure is quantitative trait locus (QTL) analysis. Using a panel of 30 BXD recombinant inbred strains of mice and the progenitors (DBA/2J and C57BL/6J), and the dowel test for ataxia, we measured the blood ethanol concentrations at the time an animal first fell from the dowel and acute functional tolerance (AFT), and investigated cAMP signaling in the cerebellum. Cyclic AMP accumulation was measured in whole-cell preparations of cerebellar minces from individual mice under basal or stimulated conditions. We conducted a genome-wide QTL analysis of the behavioral and biochemical measures with >2000 genetic markers to identify significant associations. Western blot and comparative sequencing analysis were used to compare cAMP response element binding protein (CREB) levels and protein-coding sequence, respectively. QTL analyses correlating strain means with allelic status at genetic markers identified several significant associations (p < 0.01). Analysis of variance revealed an effect of strain on behavioral and biochemical measures. There was a significant genetic correlation between initial sensitivity and basal cAMP accumulation in the cerebellum. We identified 6 provisional QTLs for initial sensitivity on four chromosomes, 6 provisional QTLs for AFT on four chromosomes, and 11 provisional QTLs for cAMP signaling on nine chromosomes. Two loci were found to overlap for measures of initial sensitivity and for cAMP signaling. Given the genetic correlation between initial sensitivity and basal cAMP accumulation, we investigated candidate genes in a QTL on chromosome 1. Comparative sequence analysis was performed, and protein levels were compared between C57 and DBA mice for Creb1. No significant differences were detected in coding sequence or protein levels for CREB. These results suggest that although ethanol sensitivity and cAMP signaling are determined by multiple genes, they may share certain genetic codetermination.

Adrenergic beta-Agonists↗