Proteomic Analysis of Salmonella-modified Membranes Reveals Adaptations to Macrophage Hosts.

Systemic infection and proliferation of intracellular pathogens require the biogenesis of a growth-stimulating compartment. The gastrointestinal pathogen Salmonella enterica commonly forms highly dynamic and extensive tubular membrane compartments built from Salmonella-modified membranes (SMMs) in diverse host cells. Although the general mechanism involved in the formation of replication-permissive compartments of S. enterica is well researched, much less is known regarding specific adaptations to different host cell types. Using an affinity-based proteome approach, we explored the composition of SMMs in murine macrophages. The systematic characterization provides a broader landscape of host players to the maturation of Salmonella-containing compartments and reveals core host elements targeted by Salmonella in macrophages as well as epithelial cells. However, we also identified subtle host specific adaptations. Some of these observations, such as the differential involvement of the COPII system, Rab GTPases 2A, 8B, 11 and ER transport proteins Sec61 and Sec22B may explain cell line-dependent variations in the pathophysiology of Salmonella infections. In summary, our system-wide approach demonstrates a hitherto underappreciated impact of the host cell type in the formation of intracellular compartments by Salmonella.

Redefining the H-NS protein family: a diversity of specialized core and accessory forms exhibit hierarchical transcriptional network integration.

H-NS is a nucleoid structuring protein and global repressor of virulence and horizontally-acquired genes in bacteria. H-NS can interact with itself or with homologous proteins, but protein family diversity and regulatory network overlap remain poorly defined. Here, we present a comprehensive phylogenetic analysis that revealed deep-branching clades, dispelling the presumption that H-NS is the progenitor of varied molecular backups. Each clade is composed exclusively of either chromosome-encoded or plasmid-encoded proteins. On chromosomes, stpA and newly discovered hlpP are core genes in specific genera, whereas hfp and newly discovered hlpC are sporadically distributed. Six clades of H-NS plasmid proteins (Hpp) exhibit ancient and dedicated associations with plasmids, including three clades with fidelity for plasmid incompatibility groups H, F or X. A proliferation of H-NS homologs in Erwiniaceae includes the first observation of potentially co-dependent H-NS forms. Conversely, the observed diversification of oligomerization domains may facilitate stable co-existence of divergent homologs in a genome. Transcriptomic and proteomic analysis in Salmonella revealed regulatory crosstalk and hierarchical control of H-NS homologs. We also discovered that H-NS is both a repressor and activator of Salmonella Pathogenicity Island 1 gene expression, and both regulatory modes are restored by Sfh (HppH) in the absence of H-NS.

Proteomics of intracellular Salmonella enterica reveals roles of Salmonella pathogenicity island 2 in metabolism and antioxidant defense.

Intracellular Salmonella enterica serovar Typhimurium (STM) deploy the Salmonella Pathogenicity Island 2-encoded type III secretion system (SPI2-T3SS) for the massive remodeling of the endosomal system for host cells. This activity results in formation of an extensive interconnected tubular network of Salmonella-induced filaments (SIFs) connected to the Salmonella-containing vacuole (SCV). Such network is absent in cells infected with SPI2-T3SS-deficient mutant strains such as ΔssaV. A tubular network with reduced dimensions is formed if SPI2-T3SS effector protein SseF is absent. Previous single cell live microscopy-based analyses revealed that intracellular proliferation of STM is directly correlated to the ability to transform the host cell endosomal system into a complex tubular network. This network may also abrogate host defense mechanisms such as delivery of antimicrobial effectors to the SCV. To test the role of SIFs in STM patho-metabolism, we performed quantitative comparative proteomics of STM recovered from infected murine macrophages. We infected RAW264.7 cells with STM wild type (WT), ΔsseF or ΔssaV strains, recovered bacteria 12 h after infection and determined proteome compositions. Increased numbers of proteins characteristic for nutritional starvation were detected in STM ΔsseF and ΔssaV compared to WT. In addition, STM ΔssaV, but not ΔsseF showed signatures of increased exposure to stress by antimicrobial defenses, in particular reactive oxygen species, of the host cells. The proteomics analyses presented here support and extend the role of SIFs for the intracellular lifestyle of STM. We conclude that efficient manipulation of the host cell endosomal system by effector proteins of the SPI2-T3SS contributes to nutrition, as well as to resistance against antimicrobial host defense mechanisms.

Serial time-resolved crystallography of photosystem II using a femtosecond X-ray laser.

Photosynthesis, a process catalysed by plants, algae and cyanobacteria converts sunlight to energy thus sustaining all higher life on Earth. Two large membrane protein complexes, photosystem I and II (PSI and PSII), act in series to catalyse the light-driven reactions in photosynthesis. PSII catalyses the light-driven water splitting process, which maintains the Earth's oxygenic atmosphere. In this process, the oxygen-evolving complex (OEC) of PSII cycles through five states, S0 to S4, in which four electrons are sequentially extracted from the OEC in four light-driven charge-separation events. Here we describe time resolved experiments on PSII nano/microcrystals from Thermosynechococcus elongatus performed with the recently developed technique of serial femtosecond crystallography. Structures have been determined from PSII in the dark S1 state and after double laser excitation (putative S3 state) at 5 and 5.5 Å resolution, respectively. The results provide evidence that PSII undergoes significant conformational changes at the electron acceptor side and at the Mn4CaO5 core of the OEC. These include an elongation of the metal cluster, accompanied by changes in the protein environment, which could allow for binding of the second substrate water molecule between the more distant protruding Mn (referred to as the 'dangler' Mn) and the Mn3CaOx cubane in the S2 to S3 transition, as predicted by spectroscopic and computational studies. This work shows the great potential for time-resolved serial femtosecond crystallography for investigation of catalytic processes in biomolecules.

The primary transcriptome, small RNAs and regulation of antimicrobial resistance in Acinetobacter baumannii ATCC 17978.

We present the first high-resolution determination of transcriptome architecture in the priority pathogen Acinetobacter baumannii. Pooled RNA from 16 laboratory conditions was used for differential RNA-seq (dRNA-seq) to identify 3731 transcriptional start sites (TSS) and 110 small RNAs, including the first identification in A. baumannii of sRNAs encoded at the 3' end of coding genes. Most sRNAs were conserved among sequenced A. baumannii genomes, but were only weakly conserved or absent in other Acinetobacter species. Single nucleotide mapping of TSS enabled prediction of -10 and -35 RNA polymerase binding sites and revealed an unprecedented base preference at position +2 that hints at an unrecognized transcriptional regulatory mechanism. To apply functional genomics to the problem of antimicrobial resistance, we dissected the transcriptional regulation of the drug efflux pump responsible for chloramphenicol resistance, craA. The two craA promoters were both down-regulated >1000-fold when cells were shifted to nutrient limited medium. This conditional down-regulation of craA expression renders cells sensitive to chloramphenicol, a highly effective antibiotic for the treatment of multidrug resistant infections. An online interface that facilitates open data access and visualization is provided as 'AcinetoCom' (http://bioinf.gen.tcd.ie/acinetocom/).

Next Generation of Tn7-Based Single-Copy Insertion Elements for Use in Multi- and Pan-Drug-Resistant Strains of Acinetobacter baumannii.

The purpose of this study was to create single-copy gene expression systems for use in genomic manipulations of multidrug-resistant (MDR) and extensively drug-resistant (XDR) clinical isolates of Acinetobacter baumannii In this study, mini-Tn7 vectors with zeocin and apramycin selection markers were created by cloning the ble and aac(3)-IV genes, respectively, enabling either inducible gene expression (pUC18T-mini-Tn7T-Zeo-LAC and pUC18T-mini-Tn7T-Apr-LAC) or expression from native or constitutive promoters (pUC18T-mini-Tn7T-Zeo and pUC18T-mini-Tn7T-Apr). The selection markers of these plasmids are contained within a Flp recombinase target (FRT) cassette, which can be used to obtain unmarked mini-Tn7 insertions upon introduction of a source of Flp recombinase. To this end, site-specific excision vectors pFLP2A and pFLP2Z (containing apramycin and zeocin selection markers, respectively) were created in this study as an accessory to the mini-Tn7 vectors described above. Combinations of these novel mini-Tn7 plasmids and their compatible pFLP2Z or pFLP2A accessory plasmid were used to generate unmarked insertions in MDR clinical isolates of A. baumannii In addition, several fluorescent markers were cloned and inserted into MDR and XDR clinical isolates of A. baumannii via these apramycin and zeocin mini-Tn7 constructs to demonstrate their application.IMPORTANCEAcinetobacter baumannii is a high-priority pathogen for which research on mechanisms of resistance and virulence is a critical need. Commonly used antibiotic selection markers are not suitable for use in MDR and XDR isolates of A. baumannii due to the high antibiotic resistance of these isolates, which poses a barrier to the study of this pathogen. This study demonstrates the practical potential of using apramycin and zeocin mini-Tn7- and Flp recombinase-encoded constructs to carry out genomic manipulations in clinical isolates of A. baumannii displaying MDR and XDR phenotypes.

Identification of Mature Atherosclerotic Plaque Proteome Signatures Using Data-Independent Acquisition Mass Spectrometry.

Atherosclerosis is a chronic inflammatory disease with complex pathobiology and one of the most common causes of cardiovascular events. The process is characterized by complex vascular remodeling processes that require the actions of numerous proteins. The composition of atherosclerotic plaque is increasingly recognized as a major factor governing the occurrence of cardiovascular or neurological symptoms. To gain deeper insights into the composition of atherosclerotic plaques, we created quantitative proteome profiles of advanced plaque tissues of six male patients undergoing carotid endarterectomy for stroke prevention. Using a quantitative, data-independent proteome approach, we identified 4181 proteins with an average protein coverage of 45%. An analysis of the quantitative composition of the tissue revealed key players of vascular remodeling processes. Moreover, compared with proximal arterial tissue, 20 proteins in mature plaques were enriched, whereas 52 proteins were found in lower quantities. Among the proteins with increased abundance were prominent extracellular matrix proteins such as biglycan and lumican, whereas cytoskeletal markers for contractile smooth muscle cells (SMCs) were decreased. Taken together, this study provides the most comprehensive quantitative assessment of mature human plaque tissue to date, which indicates a central role of SMCs in the structure of advanced atherosclerotic plaques.

Elucidating the molecular basis of adverse health effects from exposure to anthropogenic polyfluorinated compounds using toxicoproteomic approaches.

Linear, short-chain polyfluorinated and perfluorinated alkyl compounds, often referred to as PFCs, have been in worldwide use as surfactants and polymer precursors for decades, and environmental dispersal of these highly persistent compounds represents a public health threat. Whereas ubiquitous low-level exposure to these compounds has been demonstrated in human populations from around the world, the exact mechanisms of toxicity and their toxic potency remain subject to investigation and scientific dispute. As with other environmental exposures, a major hurdle for gaining a better understanding of their human health impacts is the limited utility of cell culture and animal models serving as convenient, yet imperfect proxies to human physiology and disease. The present communication provides a brief overview of the current understanding of potential health effects of PFC exposure and examines how new toxicoproteomic methodologies can provide insight into the molecular mechanism of PFC exposure. Furthermore, we showcase an exemplary data set to illustrate how toxicoproteomic, population-wide studies might overcome limitations of animal models to more fully understand the metabolism and effects of PFCs and other environmental stressors where it matters most, in human populations experiencing real-world, chronic, low-level exposures.

Unusual pairing between assistants: interaction of the twin-arginine system-specific chaperone DmsD with the chaperonin GroEL.

DmsD is a system-specific chaperone that mediates the biogenesis and maturation of DMSO reductase in Escherichia coli. It is required for DmsAB holoenzyme formation and its targeting to the cytoplasmic membrane for translocation by the twin-arginine translocase. Previous studies suggested that DmsD also interacts with general molecular chaperones to assist in folding of the reductase subunits. Here, the interaction between DmsD and GroEL was further characterized to understand the role of GroEL in DMSO reductase maturation. The inherently weak interaction between the two was strengthened in vivo under growth conditions that induce DMSO reductase expression, and the DmsD-GroEL complex showed negligible change in hydrodynamic diameter by dynamic light scattering when cross-linked. Mapping the cross-linked sites on DmsD shows that the GroEL binding site is in close proximity to the previously characterized DmsA leader binding site. These findings support a role of GroEL in DMSO reductase maturation that likely involves its chaperonin function for assisting in folding of the DmsA preprotein.

Selective trapping of single mammalian breast cancer cells by insulator-based dielectrophoresis.

The trapping or immobilization of individual cells at specific locations in microfluidic platforms is essential for single cell studies, especially those requiring cell stimulation and downstream analysis of cellular content. Selectivity for individual cell types is required when mixtures of cells are analyzed in heterogeneous and complex matrices, such as the selection of metastatic cells within blood samples. Here, we demonstrate a microfluidic device based on direct current (DC) insulator-based dielectrophoresis (iDEP) for selective trapping of single MCF-7 breast cancer cells from mixtures with both mammalian peripheral blood mononuclear cells (PBMC) as well MDA-MB-231 as a second breast cancer cell type. The microfluidic device has a teardrop iDEP design optimized for the selective capture of single cells based on their differential DEP behavior under DC conditions. Numerical simulations adapted to experimental device geometries and buffer conditions predicted the trapping condition in which the dielectrophoretic force overcomes electrokinetic forces for MCF-7 cells, whereas PBMCs were not trapped. Experimentally, selective trapping of viable MCF-7 cells in mixtures with PBMCs was demonstrated in good agreement with simulations. A similar approach was also executed to demonstrate the selective trapping of MCF-7 cells in a mixture with MDA-MB-231 cells, indicating the selectivity of the device for weakly invasive and highly invasive breast cancer cells. The DEP studies were complemented with cell viability tests indicating acceptable cell viability over the course of an iDEP trapping experiment.

Microfluidic devices for high-throughput proteome analyses.

Over the last decades, microfabricated bioanalytical platforms have gained enormous interest due to their potential to revolutionize biological analytics. Their popularity is based on several key properties, such as high flexibility of design, low sample consumption, rapid analysis time, and minimization of manual handling steps, which are of interest for proteomics analyses. An ideal totally integrated chip-based microfluidic device could allow rapid automated workflows starting from cell cultivation and ending with MS-based proteome analysis. By reducing or eliminating sample handling and transfer steps and increasing the throughput of analyses these workflows would dramatically improve the reliability, reproducibility, and throughput of proteomic investigations. While these complete devices do not exist for routine use yet, many improvements have been made in the translation of proteomic sample handling and separation steps into microfluidic formats. In this review, we will focus on recent developments and strategies to enable and integrate proteomic workflows into microfluidic devices.

Six-helix bundle and triangle DNA origami insulator-based dielectrophoresis.

Self-assembled DNA nanostructures have large potential for nanoelectronic circuitry, targeted drug delivery, and intelligent sensing. Their applications require suitable methods for manipulation and nanoscale assembly as well as adequate concentration, purification, and separation methods. Insulator-based dielectrophoresis (iDEP) provides an efficient and matrix-free approach for manipulation of micro- and nanometer-sized objects. In order to exploit iDEP for DNA nanoassemblies, a detailed understanding of the underlying polarization and dielectrophoretic migration is essential. Here, we explore the dielectrophoretic behavior of six-helix bundle and triangle DNA origamis with identical sequence but large topological difference and reveal a characteristic frequency range of iDEP trapping. Moreover, the confinement of triangle origami in the iDEP trap required larger applied electric fields. To elucidate the observed DEP migration and trapping, we discuss polarizability models for the two species according to their structural difference complemented by numerical simulations, revealing a contribution of the electrophoretic transport of the DNA origami species in the iDEP trapping regions. The numerical model showed reasonable agreement with experiments at lower frequency. However, the extension of the iDEP trapping regions observed experimentally deviated considerably at higher frequencies. Our study demonstrates for the first time that DNA origami species can be successfully trapped and manipulated by iDEP and reveals distinctive iDEP behavior of the two DNA origamis. The experimentally observed trapping regimes will facilitate future exploration of DNA origami manipulation and assembly at the nano- and microscale as well as other applications of these nanoassemblies with iDEP.

CRISPR-Cas-Based Biomonitoring for Marine Environments: Toward CRISPR RNA Design Optimization Via Deep Learning.

Almost all of Earth's oceans are now impacted by multiple anthropogenic stressors, including the spread of nonindigenous species, harmful algal blooms, and pathogens. Early detection is critical to manage these stressors effectively and to protect marine systems and the ecosystem services they provide. Molecular tools have emerged as a promising solution for marine biomonitoring. One of the latest advancements involves utilizing CRISPR-Cas technology to build programmable, rapid, ultrasensitive, and specific diagnostics. CRISPR-based diagnostics (CRISPR-Dx) has the potential to allow robust, reliable, and cost-effective biomonitoring in near real time. However, several challenges must be overcome before CRISPR-Dx can be established as a mainstream tool for marine biomonitoring. A critical unmet challenge is the need to design, optimize, and experimentally validate CRISPR-Dx assays. Artificial intelligence has recently been presented as a potential approach to tackle this challenge. This perspective synthesizes recent advances in CRISPR-Dx and machine learning modeling approaches, showcasing CRISPR-Dx potential to progress as a rising molecular tool candidate for marine biomonitoring applications.

The current state of microbial proteomics: where we are and where we want to go.

Proteomics allows the assessment of cellular processes in an unprecedented scale by providing a comprehensive quantitative and qualitative overview of the protein content of a cell. Consequently, proteomics has been employed to investigate a multitude of bacterial processes ranging from the analysis of environmental communities, identification of virulence factors to the proteome-guided optimization of production strains. Proteomics has, in short, become an indispensable tool for the global analysis of bacterial physiology. Nonetheless, challenges exist, especially in the accurate prediction of phenotypic consequences based on any given proteome composition. In this review, we will give an overview of current highlights in the area of microbial proteomics, discuss some current challenges and present new developments that may help in overcoming them.

Direct detection of peptides and proteins on a microfluidic platform with MALDI mass spectrometry.

The ability to detect and quantify proteins of individual cells in high throughput is of enormous biological and clinical relevance. Most methods currently in use either require the measurement of large cell populations or are limited to the investigation of few cells at a time. In this report, we present the combination of a polydimethylsiloxane-based microfluidic device to a matrix-assisted laser desorption ionization time-of-flight mass spectrometer (MALDI-TOF-MS) that allows the detection of as few as 300 molecules at the peptide level and ~10(6) to 10(7) molecules at the protein level. Moreover, we performed an immunoassay with subsequent MALDI-TOF-MS to capture and detect insulin immobilized on a surface (~0.05 mm(2)) in this device with a detection limit of 10(6) insulin molecules. This microfluidic-based approach therefore begins to approach the sample handling and sensitivity requirements for MS-based single-cell analysis of proteins and peptides and holds the potential for easy parallelization of immunoassays and other highly sensitive protein analyses.

Beyond nC60: strategies for identification of transformation products of fullerene oxidation in aquatic and biological samples.

Owing to their exceptional properties and versatility, fullerenes are in widespread use for numerous applications. Increased production and use of fullerenes will inevitably result in accelerated environmental release. However, study of the occurrence, fate, and transport of fullerenes in the environment is complicated because a variety of surface modifications can occur as a result of either intentional functionalization or natural processes. To gain a better understanding of the effect and risk of fullerenes on environmental health, it is necessary to acquire reliable data on the parent compounds and their congeners. Whereas currently established quantification methods generally focus on analysis of unmodified fullerenes, we discuss in this review the occurrence and analysis of oxidized fullerene congeners (i.e., their corresponding epoxides and polyhydroxylated derivatives) in the environment and in biological specimens. We present possible strategies for detection and quantification of parent nanomaterials and their various derivatives.

Protein Purification and Digestion Methods for Bacterial Proteomic Analyses.

Reproducible protein extraction is critical for the quantitative analysis of bacterial proteomes. While a wide range of techniques exist, there is no one-size-fits-all solution that will be suitable for all applications. In this report, we describe a set of standard extraction methods that have been adapted for a range of bacterial proteome analyses.

Affinity Enrichment of Salmonella-Modified Membranes from Murine Macrophages for Proteomic Analyses.

Dissecting host-pathogen interaction requires the ability to specifically enrich distinct proteins along with their co-assembled constituents or complexes. Affinity technologies leverage specificity of reagents to desired targets and help to enrich proteins of interests along with specifically associated proteins. Coupled with mass-spectrometry-based proteomics, this technology has become a powerful tool to explore pathogen compartments of diverse facultative and obligate intracellular pathogens. Here, we describe the process from infection of macrophages with Salmonella enterica to the affinity enrichment of Salmonella-modified membranes from murine macrophages.

Characterization and liquid chromatography-MS/MS based quantification of hydroxylated fullerenes.

Highly water-soluble hydroxylated fullerene derivatives are being investigated for a wide range of commercial products as well as for potential cytotoxicity. However, no analytical methods are currently available for their quantification at sub-ppm concentrations in environmental matrixes. Here, we report on the development and comparison of liquid chromatography-ultraviolet/visible spectroscopy (LC-UV/vis) and liquid chromatography-mass spectrometry (LC-MS) based detection and quantification methods for commercial fullerols. We achieved good separation efficiency using an amide-type hydrophilic interaction liquid chromatography (HILIC) column (plate number >2000) under isocratic conditions with 90% acetonitrile as the mobile phase. The method detection limits (MDLs) ranged from 42.8 ng/mL (UV detection) to 0.19 pg/mL (using MS with multiple reaction monitoring, MRM). Other MS measurement modes achieved MDLs of 125 pg/mL (single quad scan, Q1) and 1.5 pg/mL (multiple ion monitoring, MI). Each detection method exhibited a good linear response over several orders of magnitude. Moreover, we tested the robustness of these methods in the presence of Suvanee River fulvic acids (SRFA) as an example of organic matter commonly found in environmental water samples. While SRFA significantly interfered with UV- and Q1-based quantifications, the interference was relatively low using MI or MRM (relative error in presence of SRFA: 8.6% and 2.5%, respectively). This first report of a robust MS-based quantification method for modified fullerenes dissolved in water suggests the feasibility of implementing MS techniques more broadly for identification and quantification of fullerols and other water-soluble fullerene derivatives in environmental samples.

Insulator-based dielectrophoretic single particle and single cancer cell trapping.

Trapping of individual cells at specific locations in a microfluidic lab-on-a-chip platform is essential for single cell studies, especially those requiring individual stimulation followed by downstream analysis. To this aim, we have designed microdevices based on direct current (DC) insulator-based dielectrophoresis (iDEP) acting as individual single cell traps. We present both the design of a negative iDEP trap and a positive iDEP trap using insulating posts integrated at microchannel intersections. We obtained electric field distributions via numerical simulations adapted to the intersection and trap geometry with which we predict single particle pathlines. With polystyrene particles of 10 µm diameter, we demonstrated an effective design for a single particle trap in the case of negative dielectrophoresis. The onset trapping voltage shows an inverse relation to the buffer conductivity, thus indicating the influence of electrokinetic effects on the trapping behavior. Additionally, we demonstrated the proof-of-principle of single MCF-7 breast cancer cell trapping in a positive iDEP trap. Our single particle trapping experiments were further in very good agreement with numerical simulations. To ensure that no significant damage occurred to the cells during the experiment, we further optimized medium conditions to ensure viability of the cells for at least 1 h, more than sufficient for microfluidic trapping experiments. Our results thus indicated the successful design of DC iDEP traps, which can easily be integrated into a variety of microchip operations for single cell analysis.