Amin Zargar
University of Maryland, College Park
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Publication
Featured researches published by Amin Zargar.
Molecular Systems Biology | 2014
Hsuan-Chen Wu; Chen-Yu Tsao; David N. Quan; Yi Cheng; Matthew D. Servinsky; Karen K. Carter; Kathleen J Jee; Jessica L. Terrell; Amin Zargar; Gary W. Rubloff; Gregory F. Payne; James J. Valdes; William E. Bentley
Escherichia coli were genetically modified to enable programmed motility, sensing, and actuation based on the density of features on nearby surfaces. Then, based on calculated feature density, these cells expressed marker proteins to indicate phenotypic response. Specifically, site‐specific synthesis of bacterial quorum sensing autoinducer‐2 (AI‐2) is used to initiate and recruit motile cells. In our model system, we rewired E. colis AI‐2 signaling pathway to direct bacteria to a squamous cancer cell line of head and neck (SCCHN), where they initiate synthesis of a reporter (drug surrogate) based on a threshold density of epidermal growth factor receptor (EGFR). This represents a new type of controller for targeted drug delivery as actuation (synthesis and delivery) depends on a receptor density marking the diseased cell. The ability to survey local surfaces and initiate gene expression based on feature density represents a new area‐based switch in synthetic biology that will find use beyond the proposed cancer model here.
Mbio | 2015
Amin Zargar; David N. Quan; Karen K. Carter; Min Guo; Herman O. Sintim; Gregory F. Payne; William E. Bentley
ABSTRACT There have been many studies on the relationship between nonpathogenic bacteria and human epithelial cells; however, the bidirectional effects of the secretomes (secreted substances in which there is no direct bacterium-cell contact) have yet to be fully investigated. In this study, we use a transwell model to explore the transcriptomic effects of bacterial secretions from two different nonpathogenic Escherichia coli strains on the human colonic cell line HCT-8 using next-generation transcriptome sequencing (RNA-Seq). E. coli BL21 and W3110, while genetically very similar (99.1% homology), exhibit key phenotypic differences, including differences in their production of macromolecular structures (e.g., flagella and lipopolysaccharide) and in their secretion of metabolic byproducts (e.g., acetate) and signaling molecules (e.g., quorum-sensing autoinducer 2 [AI-2]). After analysis of differential epithelial responses to the respective secretomes, this study shows for the first time that a nonpathogenic bacterial secretome activates the NF-κB-mediated cytokine-cytokine receptor pathways while also upregulating negative-feedback components, including the NOD-like signaling pathway. Because of AI-2s relevance as a bacterium-bacterium signaling molecule and the differences in its secretion rates between these strains, we investigated its role in HCT-8 cells. We found that the expression of the inflammatory cytokine interleukin 8 (IL-8) responded to AI-2 with a pattern of rapid upregulation before subsequent downregulation after 24 h. Collectively, these data demonstrate that secreted products from nonpathogenic bacteria stimulate the transcription of immune-related biological pathways, followed by the upregulation of negative-feedback elements that may serve to temper the inflammatory response. IMPORTANCE The symbiotic relationship between the microbiome and the host is important in the maintenance of human health. There is a growing need to further understand the nature of these relationships to aid in the development of homeostatic probiotics and also in the design of novel antimicrobial therapeutics. To our knowledge, this is the first global-transcriptome study of bacteria cocultured with human epithelial cells in a model to determine the transcriptional effects of epithelial cells in which epithelial and bacterial cells are allowed to “communicate” with each other only through diffusible small molecules and proteins. By beginning to demarcate the direct and indirect effects of bacteria on the gastrointestinal (GI) tract, two-way interkingdom communication can potentially be mediated between host and microbe. The symbiotic relationship between the microbiome and the host is important in the maintenance of human health. There is a growing need to further understand the nature of these relationships to aid in the development of homeostatic probiotics and also in the design of novel antimicrobial therapeutics. To our knowledge, this is the first global-transcriptome study of bacteria cocultured with human epithelial cells in a model to determine the transcriptional effects of epithelial cells in which epithelial and bacterial cells are allowed to “communicate” with each other only through diffusible small molecules and proteins. By beginning to demarcate the direct and indirect effects of bacteria on the gastrointestinal (GI) tract, two-way interkingdom communication can potentially be mediated between host and microbe.
The ISME Journal | 2016
Matthew D. Servinsky; Jessica L. Terrell; Chen-Yu Tsao; Hsuan-Chen Wu; David N. Quan; Amin Zargar; Patrick C Allen; Christopher M Byrd; Christian J. Sund; William E. Bentley
Many reports have elucidated the mechanisms and consequences of bacterial quorum sensing (QS), a molecular communication system by which bacterial cells enumerate their cell density and organize collective behavior. In few cases, however, the numbers of bacteria exhibiting this collective behavior have been reported, either as a number concentration or a fraction of the whole. Not all cells in the population, for example, take on the collective phenotype. Thus, the specific attribution of the postulated benefit can remain obscure. This is partly due to our inability to independently assemble a defined quorum, for natural and most artificial systems the quorum itself is a consequence of the biological context (niche and signaling mechanisms). Here, we describe the intentional assembly of quantized quorums. These are made possible by independently engineering the autoinducer signal transduction cascade of Escherichia coli (E. coli) and the sensitivity of detector cells so that upon encountering a particular autoinducer level, a discretized sub-population of cells emerges with the desired phenotype. In our case, the emergent cells all express an equivalent amount of marker protein, DsRed, as an indicator of a specific QS-mediated activity. The process is robust, as detector cells are engineered to target both large and small quorums. The process takes about 6 h, irrespective of quorum level. We demonstrate sensitive detection of autoinducer-2 (AI-2) as an application stemming from quantized quorums. We then demonstrate sub-population partitioning in that AI-2-secreting cells can ‘call’ groups neighboring cells that ‘travel’ and establish a QS-mediated phenotype upon reaching the new locale.
ACS Synthetic Biology | 2016
Amin Zargar; David N. Quan; William E. Bentley
While inducing agents are often used to redirect resources from growth and proliferation toward product outputs, they can be prohibitively expensive on the industrial scale. Previously, we developed an autonomously guided protein production system based on the rewiring of E. colis native quorum sensing (QS) signal transduction cascade. Self-secreted autoinducer, AI-2, accumulated over time and actuated recombinant gene expression-its design, co-opting the collective nature of QS-mediated behavior. We recently demonstrated that desynchronization of autoinduced intercellular feedback leads to bimodality in QS activation. In this work, we developed a new QS-enabled system with enhanced feedback to reduce cell heterogeneity. This narrows the population distribution of protein expression, leading to significant per cell and overall increases in productivity. We believe directed engineering of cell populations and/or cell consortia will offer many such opportunities in future bioprocessing applications.
Macromolecular Reaction Engineering | 2009
Amin Zargar; F. Joseph Schork
Industrial & Engineering Chemistry Research | 2009
Amin Zargar; F. Joseph Schork
Lab on a Chip | 2013
Jordan Betz; Yi Cheng; Chen-Yu Tsao; Amin Zargar; Hsuan-Chen Wu; Xiaolong Luo; Gregory F. Payne; William E. Bentley; Gary W. Rubloff
Macromolecular Reaction Engineering | 2011
Amin Zargar; Kai Chang; Lakeshia J. Taite; F. Joseph Schork
Metabolic Engineering | 2015
Amin Zargar; David N. Quan; Milad Emamian; Chen Yu Tsao; Hsuan-Chen Wu; Chelsea R. Virgile; William E. Bentley
Pharmaceutical bioprocessing | 2013
William E. Bentley; Amin Zargar; Gregory F. Payne