High Macromolecular Crowding in Liposomes from Microfluidics

The intracellular environment is crowded with macromolecules that influence biochemical equilibria and biomacromolecule diffusion. The incorporation of such crowding in synthetic cells would be needed to mimic the biochemistry of living cells. However, only a few methods provide crowded artificial cells, moreover providing cells with either heterogeneous size and composition or containing a significant oil fraction. Therefore, a method that generates monodisperse liposomes with minimal oil content and tunable macromolecular crowding using polydimethylsiloxane (PDMS)-based microfluidics is presented. Lipid stabilized water-in-oil-in-water emulsions that are stable for at least several months and with a high macromolecular crowder concentration that can be controlled with the external osmolality are formed. A crucial feature is that the oil phase can be removed using high flow conditions at any point after production, providing the highly crowded liposomes. Genetically encoded macromolecular crowding sensors show that the high level of macromolecular crowding in the emulsions is fully retained throughout the generation of minimal-oil lipid bilayers. This modular and robust platform will serve the study of biochemistry under physiologically relevant crowding conditions.

Genetically encoded FRET fluorescent sensor designed for detecting MOF histone acetyltransferase activity in vitro and in living cells

Acetylation of lysine in the histone H4 N-terminal is one of the most significant epigenetic modifications in cells. Aberrant changes involving lysine acetylation modification are commonly reported in multiple types of cancers. Currently, whether it is for in vivo or in vitro, there are limited approaches for the detection of H4 lysine acetylation levels. In particular, the main problems are the high cost and the cumbersome detection process, such as for radioactive ¹⁴C isotope detection. Therefore, there is an important need to develop a simple, fast, and low-cost means of detection. In this study, we reported the development of a gene-coding protein sensor. This protein sensor was designed based on the mechanism of fluorescence resonance energy transfer (FRET). The four kinds of sensors, varying from substrate and linker length, were evaluated, with ~20% increases in response efficiency. Next, sensors with different lysine mutation sites in the substrate sequence or mutation of key amino acids in the binding domain were also analyzed to determine site specificity. We found single-site lysine mutant could not cause a significant decrease in response efficiency. Furthermore, addition of MG149, a histone acetyltransferase inhibitor, resulted in a decrease in the ratio change value. Moreover, histone deacetylase1 HDAC1 was also found to reduce the ratio change values when added to reaction system. Finally, the optimized sensor was applied to living cells and established to provide a sensitive response with overexpression and knockdown of MOF (males absent on the first). These results indicated that the sensor can be used for screening chemical drugs regulating H4 N-terminal lysine acetylation level in vitro, as well as monitoring dynamic changes of lysine acetylation levels in living cells.

Novel gene-encoded intermolecular FRET sensor for tracking glycosylation of CD147 in living cells

CD147 is involved in various physiological processes and plays important roles for tumor metastasis. Glycosylation of the protein determines numerous functions of CD147. Up to now, hardly any sensor has been developed for detecting glycosylation of CD147 in live cells. There is a pressing requirement of development of a selective and continuous biosensor for cell imaging. The emergence of gene-encoded fluorescence resonance energy transfer (FRET) sensor provides a new way to develop the sensors to analysts. We designed and constructed novel gene-encoded FRET proteins sensing glycosylation of CD147 by measuring FRET ratio of two intermolecular motifs. With the decrease of CD147 glycosylation level in cells, the FRET ratio increased significantly. The specificity of the sensor targeting to CD147 was also determined by siRNA interference experiment. Finally, continuous living cell image of deglycosylation process of CD147 using the newly developed sensor has been performed successfully. The work not only provides useful tools for analyzing glycosylation of CD147 in living cells, but also implicates alternative strategy for detecting other glycosylated proteins.

β2-adrenoceptor ligand efficacy is tuned by a two-stage interaction with the Gαs C terminus

Classical pharmacological models have incorporated an "intrinsic efficacy" parameter to capture system-independent effects of G protein-coupled receptor (GPCR) ligands. However, the nonlinear serial amplification of downstream signaling limits quantitation of ligand intrinsic efficacy. A recent biophysical study has characterized a ligand "molecular efficacy" that quantifies the influence of ligand-dependent receptor conformation on G protein activation. Nonetheless, the structural translation of ligand molecular efficacy into G protein activation remains unclear and forms the focus of this study. We first establish a robust, accessible, and sensitive assay to probe GPCR interaction with G protein and the Gα C terminus (G-peptide), an established structural determinant of G protein selectivity. We circumvent the need for extensive purification protocols by the single-step incorporation of receptor and G protein elements into giant plasma membrane vesicles (GPMVs). We use previously established SPASM FRET sensors to control the stoichiometry and effective concentration of receptor-G protein interactions. We demonstrate that GPMV-incorporated sensors (v-SPASM sensors) provide enhanced dynamic range, expression-insensitive readout, and a reagent level assay that yields single point measurements of ligand molecular efficacy. Leveraging this technology, we establish the receptor-G-peptide interaction as a sufficient structural determinant of this receptor-level parameter. Combining v-SPASM measurements with molecular dynamics (MD) simulations, we elucidate a two-stage receptor activation mechanism, wherein receptor-G-peptide interactions in an intermediate orientation alter the receptor conformational landscape to facilitate engagement of a fully coupled orientation that tunes G protein activation.

Drug Screening with Genetically Encoded Fluorescent Sensors: Today and Tomorrow

Genetically-encoded fluorescent sensors have been actively developed over the last few decades and used in live imaging and drug screening. Real-time monitoring of drug action in a specific cellular compartment, organ, or tissue type; the ability to screen at the single-cell resolution; and the elimination of false-positive results caused by low drug bioavailability that is not detected by in vitro testing methods are a few of the obvious benefits of using genetically-encoded fluorescent sensors in drug screening. In combination with high-throughput screening (HTS), some genetically-encoded fluorescent sensors may provide high reproducibility and robustness to assays. We provide a brief overview of successful, perspective, and hopeful attempts at using genetically encoded fluorescent sensors in HTS of modulators of ion channels, Ca2+ homeostasis, GPCR activity, and for screening cytotoxic, anticancer, and anti-parasitic compounds. We discuss the advantages of sensors in whole organism drug screening models and the perspectives of the combination of human disease modeling by CRISPR techniques with genetically encoded fluorescent sensors for drug screening.

Construction of Bacterial Cells with an Active Transport System for Unnatural Amino Acids

Engineered organisms with an expanded genetic code have attracted much attention in chemical and synthetic biology research. In this work, engineered bacterial organisms with enhanced unnatural amino acid (UAA) uptake abilities were developed by screening periplasmic binding protein (PBP) mutants for recognition of UAAs. A FRET-based assay was used to identify a mutant PBP (LBP-AEL) with excellent binding affinity ( K_d ≈ 500 nM) to multiple UAAs from 37 mutants. Bacterial cells expressing LBP-AEL showed up to 5-fold enhanced uptake of UAAs, which was determined by genetic incorporation of UAAs into a green fluorescent protein and measuring UAA concentration in cell lysates. To the best of our knowledge, this work is the first report of engineering cellular uptake of UAAs and could provide an impetus for designing advanced unnatural organisms with an expanded genetic code, which function with the efficiency comparable to that of natural organisms. The system would be useful to increase mutant protein yield from lower concentrations of UAAs for industrial and large-scale applications. In addition, the techniques used in this report such as the sensor design and the measurement of UAA concentration in cell lysates could be useful for other biochemical applications.

Influence of Fluorescent Protein Maturation on FRET Measurements in Living Cells

Förster resonance energy transfer (FRET)-based sensors are a valuable tool to quantify cell biology, yet it remains necessary to identify and prevent potential artifacts in order to exploit their full potential. We show here that artifacts arising from slow donor mCerulean3 maturation can be substantially diminished by constitutive expression in both prokaryotic and eukaryotic cells, which can also be achieved by incorporation of faster-maturing FRET donors. We developed an improved version of the donor mTurquoise2 that matures faster than the parent protein. Our analysis shows that using equal maturing fluorophores in FRET-based sensors or using constitutive low expression conditions helps to reduce maturation-induced artifacts, without the need of additional noise-inducing spectral corrections. In general, we show that monitoring and controlling the maturation of fluorescent proteins in living cells is important and should be addressed in in vivo applications of genetically encoded FRET sensors.

Assessing the real-time activation of the cannabinoid CB1 receptor and the associated structural changes using a FRET biosensor

The cannabinoid receptor 1 (CB1) is mainly expressed in the nervous system and regulates learning, memory processes, pain and energy metabolism. However, there is no way to directly measure its activation. In this study, we constructed a CB1 intramolecular fluorescence resonance energy transfer (FRET) sensor, which could measure CB1 activation by monitoring structural changes between the third intracellular loop and the C-terminal tail. CB1 agonists induced a time- and concentration-dependent increase in the FRET signal, corresponding to a reduction in the distance between the third intracellular loop and the C-terminal tail. This, in turn, mobilized intracellular Ca²⁺, inhibited cAMP accumulation, and increased phosphorylation of the ERK1/2 MAP kinases. The activation kinetics detected using this method were consistent with those from previous reports. Moreover, the increased FRET signal was markedly inhibited by the CB1 antagonist rimonabant, which also reduced phosphorylation of the ERK1/2 MAP kinases. We mutated a single cysteine residue in the sensor (at position 257 or 264) to alanine. Both mutation reduced the agonist-induced increase in FRET signal and structural changes in the CB1 receptor, which attenuated phosphorylation of the ERK1/2 MAP kinases. In summary, our sensor directly assesses the kinetics of CB1 activation in real-time and can be used to monitor CB1 structure and function.

Studying GPCR/cAMP pharmacology from the perspective of cellular structure

Signal transduction via G-protein coupled receptors (GPCRs) relies upon the production of cAMP and other signaling cascades. A given receptor and agonist pair, produce multiple effects upon cellular physiology which can be opposite in different cell types. The production of variable cellular effects via the signaling of the same GPCR in different cell types is a result of signal organization in space and time (compartmentation). This organization is usually based upon the physical and chemical properties of the membranes in which the GPCRs reside and the repertoire of downstream effectors and co-factors that are available at that location. In this review we explore mechanisms of GPCR signal compartmentation and broadly review the state-of-the-art methodologies which can be utilized to study them. We provide a clear rationale for a “localized” approach to the study of the pharmacology and physiology of GPCRs and particularly the secondary messenger cAMP.

Exploration of genetically encoded voltage indicators based on a chimeric voltage sensing domain

Deciphering how the brain generates cognitive function from patterns of electrical signals is one of the ultimate challenges in neuroscience. To this end, it would be highly desirable to monitor the activities of very large numbers of neurons while an animal engages in complex behaviors. Optical imaging of electrical activity using genetically encoded voltage indicators (GEVIs) has the potential to meet this challenge. Currently prevalent GEVIs are based on the voltage-sensitive fluorescent protein (VSFP) prototypical design or on the voltage-dependent state transitions of microbial opsins. We recently introduced a new VSFP design in which the voltage-sensing domain (VSD) is sandwiched between a fluorescence resonance energy transfer pair of fluorescent proteins (termed VSFP-Butterflies) and also demonstrated a series of chimeric VSD in which portions of the VSD of Ciona intestinalis voltage-sensitive phosphatase are substituted by homologous portions of a voltage-gated potassium channel subunit. These chimeric VSD had faster sensing kinetics than that of the native Ci-VSD. Here, we describe a new set of VSFPs that combine chimeric VSD with the Butterfly structure. We show that these chimeric VSFP-Butterflies can report membrane voltage oscillations of up to 200 Hz in cultured cells and report sensory evoked cortical population responses in living mice. This class of GEVIs may be suitable for imaging of brain rhythms in behaving mammalians.