Honor L. Glenn
Arizona State University
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Featured researches published by Honor L. Glenn.
Cell Death and Disease | 2015
Jordan R. Yaron; Sandhya Gangaraju; M Y Rao; Xiangxing Kong; Liqiang Zhang; Fengyu Su; Yanqing Tian; Honor L. Glenn; Deirdre R. Meldrum
P2X7 purinergic receptor engagement with extracellular ATP induces transmembrane potassium and calcium flux resulting in assembly of the NLRP3 inflammasome in LPS-primed macrophages. The role of potassium and calcium in inflammasome regulation is not well understood, largely due to limitations in existing methods for interrogating potassium in real time. The use of KS6, a novel sensor for selective and sensitive dynamic visualization of intracellular potassium flux in live cells, multiplexed with the intracellular calcium sensor Fluo-4, revealed a coordinated relationship between potassium and calcium. Interestingly, the mitochondrial potassium pool was mobilized in a P2X7 signaling, and ATP dose-dependent manner, suggesting a role for mitochondrial sensing of cytosolic ion perturbation. Through treatment with extracellular potassium we found that potassium efflux was necessary to permit sustained calcium entry, but not transient calcium flux from intracellular stores. Further, intracellular calcium chelation with BAPTA-AM indicated that P2X7-induced potassium depletion was independent of calcium mobilization. This evidence suggests that both potassium efflux and calcium influx are necessary for mitochondrial reactive oxygen generation upstream of NLRP3 inflammasome assembly and pyroptotic cell death. We propose a model wherein potassium efflux is necessary for calcium influx, resulting in mitochondrial reactive oxygen generation to trigger the NLRP3 inflammasome.
Biochemical and Biophysical Research Communications | 2016
Jordan R. Yaron; Mounica Y. Rao; Sandhya Gangaraju; Liqiang Zhang; Xiangxing Kong; Fengyu Su; Yanqing Tian; Honor L. Glenn; Deirdre R. Meldrum
The inflammasome is a caspase-1-activating complex that is implicated in a growing number of acute and chronic pathologies. Interest has increased in identifying small molecular inhibitors of inflammasome signaling because of its role in clinically relevant diseases. It was recently reported that the protein tyrosine kinase, Syk, regulates pathogen-induced inflammasome signaling by phosphorylating a molecular switch on the adapter protein ASC. However, several aspects of the role of Syk in inflammasome signaling and the effects of its inhibition remain unclear. The aim of the present study is to explore in detail the effects of the oxindole Syk inhibitor OXSI-2 on various aspects of nigericin-induced inflammasome signaling. Our results indicate that OXSI-2 inhibits inflammasome assembly, caspase-1 activation, IL-1β processing and release, mitochondrial ROS generation, and pyroptotic cell death. Using a novel live cell potassium sensor we show that Syk inhibition with OXSI-2 has no effect on potassium efflux kinetics and that blockade of potassium efflux with extracellular potassium alters Syk phosphorylation. The effects of OXSI-2 identified in this study provide context for the role of Syk in inflammasome signaling and demonstrate its importance in oxidative signaling upstream of inflammasome activation and downstream of ion flux.
Scientific Reports | 2017
Laimonas Kelbauskas; Honor L. Glenn; Clifford Anderson; Jacob Messner; Kristen Lee; Ganquan Song; Jeff Houkal; Fengyu Su; Liqiang Zhang; Yanqing Tian; Hong Wang; Kimberly J. Bussey; Roger H. Johnson; Deirdre R. Meldrum
Driven by an increasing number of studies demonstrating its relevance to a broad variety of disease states, the bioenergy production phenotype has been widely characterized at the bulk sample level. Its cell-to-cell variability, a key player associated with cancer cell survival and recurrence, however, remains poorly understood due to ensemble averaging of the current approaches. We present a technology platform for performing oxygen consumption and extracellular acidification measurements of several hundreds to 1,000 individual cells per assay, while offering simultaneous analysis of cellular communication effects on the energy production phenotype. The platform comprises two major components: a tandem optical sensor for combined oxygen and pH detection, and a microwell device for isolation and analysis of single and few cells in hermetically sealed sub-nanoliter chambers. Our approach revealed subpopulations of cells with aberrant energy production profiles and enables determination of cellular response variability to electron transfer chain inhibitors and ion uncouplers.
Scientific Reports | 2016
Honor L. Glenn; Jacob Messner; Deirdre R. Meldrum
Migration is a fundamental cellular behavior that plays an indispensable role in development and homeostasis, but can also contribute to pathology such as cancer metastasis. Due to its relevance to many aspects of human health, the ability to accurately measure cell migration is of broad interest, and numerous approaches have been developed. One of the most commonly employed approaches, because of its simplicity and throughput, is the exclusion zone assay in which cells are allowed to migrate into an initially cell-free region. A major drawback of this assay is that it relies on simply counting cells in the exclusion zone and therefore cannot distinguish the effects of proliferation from migration. We report here a simple modification to the exclusion zone migration assay that exclusively measures cell migration and is not affected by proliferation. This approach makes use of a lineage-tracing vital stain that is retained through cell generations and effectively reads out migration relative to the original, parental cell population. This modification is simple, robust, non-perturbing, and inexpensive. We validate the method in a panel of cell lines under conditions that inhibit or promote migration and demonstrate its use in normal and cancer cell lines as well as primary cells.
Biological Procedures Online | 2014
Jordan R. Yaron; Colleen Ziegler; Thai Tran; Honor L. Glenn; Deirdre R. Meldrum
BackgroundHeterogeneity within cell populations is relevant to the onset and progression of disease, as well as development and maintenance of homeostasis. Analysis and understanding of the roles of heterogeneity in biological systems require methods and technologies that are capable of single cell resolution. Single cell gene expression analysis by RT-qPCR is an established technique for identifying transcriptomic heterogeneity in cellular populations, but it generally requires specialized equipment or tedious manipulations for cell isolation.ResultsWe describe the optimization of a simple, inexpensive and rapid pipeline which includes isolation and culture of live single cells as well as fluorescence microscopy and gene expression analysis of the same single cells by RT-qPCR. We characterize the efficiency of single cell isolation and demonstrate our method by identifying single GFP-expressing cells from a mixed population of GFP-positive and negative cells by correlating fluorescence microscopy and RT-qPCR.ConclusionsSingle cell gene expression analysis by RT-qPCR is a convenient means for investigating cellular heterogeneity, but is most useful when correlating observations with additional measurements. We demonstrate a convenient and simple pipeline for multiplexing single cell RT-qPCR with fluorescence microscopy which is adaptable to other molecular analyses.
Scientific Reports | 2016
Vivek Nandakumar; Nanna Hansen; Honor L. Glenn; Jessica H. Han; Stephanie Helland; Kathryn F. Hernandez; Patti Senechal; Roger H. Johnson; Kimberly J. Bussey; Deirdre R. Meldrum
The histone deacetylase (HDAC) inhibitor vorinostat has received significant attention in recent years as an ‘epigenetic’ drug used to treat solid tumors. However, its mechanisms of action are not entirely understood, particularly with regard to its interaction with the aberrations in 3D nuclear structure that accompany neoplastic progression. We investigated the impact of vorinostat on human esophageal epithelial cell lines derived from normal, metaplastic (pre-cancerous), and malignant tissue. Using a combination of novel optical computed tomography (CT)-based quantitative 3D absorption microscopy and conventional confocal fluorescence microscopy, we show that subjecting malignant cells to vorinostat preferentially alters their 3D nuclear architecture relative to non-cancerous cells. Optical CT (cell CT) imaging of fixed single cells showed that drug-treated cancer cells exhibit significant alterations in nuclear morphometry. Confocal microscopy revealed that vorinostat caused changes in the distribution of H3K9ac-marked euchromatin and H3K9me3-marked constitutive heterochromatin. Additionally, 3D immuno-FISH showed that drug-induced expression of the DNA repair gene MGMT was accompanied by spatial relocation toward the center of the nucleus in the nuclei of metaplastic but not in non-neoplastic cells. Our data suggest that vorinostat’s differential modulation of 3D nuclear architecture in normal and abnormal cells could play a functional role in its anti-cancer action.
Science Advances | 2017
Laimonas Kelbauskas; Rishabh M. Shetty; Bin Cao; Kuo Chen Wang; Dean Smith; Hong Wang; Shi Hui Chao; Sandhya Gangaraju; Brian Ashcroft; Margaret Kritzer; Honor L. Glenn; Roger H. Johnson; Deirdre R. Meldrum
We describe a method based on principles of computed tomography for 4D imaging of live cells with isotropic spatial resolution. Quantitative three-dimensional (3D) computed tomography (CT) imaging of living single cells enables orientation-independent morphometric analysis of the intricacies of cellular physiology. Since its invention, x-ray CT has become indispensable in the clinic for diagnostic and prognostic purposes due to its quantitative absorption-based imaging in true 3D that allows objects of interest to be viewed and measured from any orientation. However, x-ray CT has not been useful at the level of single cells because there is insufficient contrast to form an image. Recently, optical CT has been developed successfully for fixed cells, but this technology called Cell-CT is incompatible with live-cell imaging due to the use of stains, such as hematoxylin, that are not compatible with cell viability. We present a novel development of optical CT for quantitative, multispectral functional 4D (three spatial + one spectral dimension) imaging of living single cells. The method applied to immune system cells offers truly isotropic 3D spatial resolution and enables time-resolved imaging studies of cells suspended in aqueous medium. Using live-cell optical CT, we found a heterogeneous response to mitochondrial fission inhibition in mouse macrophages and differential basal remodeling of small (0.1 to 1 fl) and large (1 to 20 fl) nuclear and mitochondrial structures on a 20- to 30-s time scale in human myelogenous leukemia cells. Because of its robust 3D measurement capabilities, live-cell optical CT represents a powerful new tool in the biomedical research field.
BMC Biotechnology | 2017
Jacob Messner; Honor L. Glenn; Deirdre R. Meldrum
Precise spatial positioning and isolation of mammalian cells is a critical component of many single cell experimental methods and biological engineering applications. Although a variety of cell patterning methods have been demonstrated, many of these methods subject cells to high stress environments, discriminate against certain phenotypes, or are a challenge to implement. Here, we demonstrate a rapid, simple, indiscriminate, and minimally perturbing cell patterning method using a laser fabricated polymer stencil. The stencil fabrication process requires no stencil-substrate alignment, and is readily adaptable to various substrate geometries and experiments.
Biology Methods and Protocols | 2016
Roshini Kalagara; Weimin Gao; Honor L. Glenn; Colleen Ziegler; Laura Belmont; Deirdre R. Meldrum
Gene expression studies which utilize lipopolysaccharide (LPS)-stimulated macrophages to model immune signaling are widely used for elucidating the mechanisms of inflammation-related disease. When expression levels of target genes are quantified using Real-Time quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR), they are analyzed in comparison to reference genes, which should have stable expression. Judicious selection of reference genes is, therefore, critical to interpretation of qRT-PCR results. Ideal reference genes must be identified for each experimental system and demonstrated to remain constant under the experimental conditions. In this study, we evaluated the stability of eight common reference genes: Beta-2-microglobulin (B2M), Cyclophilin A/Peptidylprolyl isomerase A, glyceraldehyde-3-phosphatedehydrogenase (GAPDH), Hypoxanthine Phosphoribosyltransferase 1, Large Ribosomal Protein P0, TATA box binding protein, Ubiquitin C (UBC), and Ribosomal protein L13A. Expression stability of each gene was tested under different conditions of LPS stimulation and compared to untreated controls. Reference gene stabilities were analyzed using Ct value comparison, NormFinder, and geNorm. We found that UBC, closely followed by B2M, is the most stable gene, while the commonly used reference gene GAPDH is the least stable. Thus, for improved accuracy in evaluating gene expression levels, we propose the use of UBC to normalize PCR data from LPS-stimulated macrophages.
Microscopy and Microanalysis | 2014
Jordan R. Yaron; Jieying Pan; Tejas S. Borkar; Kristen Lee; Kuo Chen Wang; Clifford Anderson; Honor L. Glenn; Deirdre R. Meldrum
Single cell analysis is essential for elucidating the contribution of rare cellular events or sub-populations in the onset and progression of disease pathology. Despite the importance of identifying cellular heterogeneity, most of the current understanding of disease is based on bulk population measurements. To address this need, recent advances in single cell technology and associated methods are gaining popularity and are resulting in the identification of critical features of disease.