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Kalogriopoulos, N. A.

Publications and source records attributed to Kalogriopoulos, N. A..

4 recordsLinked to original sources

Cell-Based Sensor for Extracellular DNA

Detection of molecules with cell-based sensors allows for conversion of binding events into gene expression outputs. Here, we present a cell-based sensor that can detect extracellular double-stranded DNA. This sensor is based on an engineered receptor which we call Luminescent Ultrasensitive Nucleic Acid Reporter, or LUNAR. LUNAR is based on a recently developed Programmable Antigen-gated G-protein-coupled Engineered Receptor (PAGER). PAGERs are a genetic fusion of an auto-inhibitory peptide, a protein-binding domain, and a modified kappa opioid receptor. PAGERs are gated by two binding events. First, a protein ligand displaces an intramolecular inhibitor, Arodyn, then a second ligand activates the receptor. By replacing the protein-binding domain with a DNA binding zinc finger protein (ZFP) we could detect extracellular DNA in a dose-dependent fashion. Here, we show that first-generation LUNAR constructs can detect both oligonucleotides and plasmid double-stranded DNA with nanomolar sensitivity in mammalian cells. Future work will focus on improving sensitivity, fold-change, and multiplexing capabilities for sequence-specific DNA detection.

synthetic biology↗

Programming cell behavior with synthetic protease-activated receptors

Extracellular proteases are important signaling molecules in coagulation, inflammation, cell migration, and pain. Dysregulation of extracellular protease activity is common in diseases that perturb these critical functions. Engineering cells to sense and respond programmatically to protease activity has applications in biosensing, cell-based screening for protease activity, and therapeutics. Here we report synthetic protease-activated receptors (SynPARs) based on engineered, auto-inhibited G protein-coupled receptors (GPCRs). Relief of autoinhibition by proteolysis enables receptor activation by an exogenous or tethered agonist to generate transgene expression, real-time fluorescence, or endogenous G-protein signaling. We demonstrate SynPAR modularity with diverse secreted proteases, establish a cell-based SynPAR library selection to optimize protease recognition sequences, and control neuronal activity in response to protease activity. Finally, we use SynPARs in the dorsal root ganglion of mice to counteract hyperalgesia produced by trypsin activity, rewiring neurons to produce an analgesic response to a pain-inducing stimulus. Our study establishes SynPAR as a versatile and modular platform for recording, sensing, and responding to pericellular proteolysis. This fills a critical gap in protease-sensing tools and lays the groundwork for protease-activated genetic and cell-based medicines.

bioengineering↗

Synthetic G protein-coupled receptors for programmable sensing and control of cell behavior

Synthetic receptors that mediate antigen-dependent cell responses are transforming therapeutics, drug discovery, and basic research. However, established technologies such as chimeric antigen receptors (CARs) can only detect immobilized antigens, have limited output scope, and lack built-in drug control. Here, we engineer synthetic G protein-coupled receptors (GPCRs) capable of driving a wide range of native or nonnative cellular processes in response to user-defined antigen. We achieve modular antigen gating by engineering and fusing a conditional auto-inhibitory domain onto GPCR scaffolds. Antigen binding to a fused nanobody relieves auto-inhibition and enables receptor activation by drug, thus generating Programmable Antigen-gated G protein-coupled Engineered Receptors (PAGERs). We create PAGERs responsive to more than a dozen biologically and therapeutically important soluble and cell surface antigens, in a single step, from corresponding nanobody binders. Different PAGER scaffolds permit antigen binding to drive transgene expression, real-time fluorescence, or endogenous G protein activation, enabling control of cytosolic Ca2+, lipid signaling, cAMP, and neuronal activity. Due to its modular design and generalizability, we expect PAGER to have broad utility in discovery and translational science.

synthetic biology↗

A light-gated transcriptional recorder for detecting cell-cell contacts

Technologies for detecting cell-cell contacts are powerful tools for studying a wide range of biological processes, from neuronal signaling to cancer-immune interactions within the tumor microenvironment. Here we report TRACC, a GPCR-based transcriptional recorder of cellular contacts, which converts contact events into stable transgene expression. TRACC is derived from our previous protein-protein interaction recorders, SPARK (Kim et al., 2017) and SPARK2 (Kim et al., 2019). TRACC incorporates light gating via the LOV domain, which provides user-defined temporal control of tool activation and reduces background. We show that TRACC detects cell-cell contacts with high specificity and sensitivity in mammalian cell culture and that it can be used to interrogate interactions between neurons and glioma, a form of brain cancer.

cell biology↗