Multiplex Detection of Foodborne Pathogens using 3D Nanostructure Swab and Deep Learning-Based Classification of Raman Spectra.

Proactive management of foodborne illness requires routine surveillance of foodborne pathogens, which requires developing simple, rapid, and sensitive detection methods. Here, a strategy is presented that enables the detection of multiple foodborne bacteria using a 3D nanostructure swab and deep learning-based Raman signal classification. The nanostructure swab efficiently captures foodborne pathogens, and the portable Raman instrument directly collects the Raman signals of captured bacteria. a deep learning algorithm has been demonstrated, 1D convolutional neural network with binary labeling, achieves superior performance in classifying individual bacterial species. This methodology has been extended to mixed bacterial populations, maintaining accuracy close to 100%. In addition, the gradient-weighted class activation mapping method is used to provide an investigation of the Raman bands for foodborne pathogens. For practical application, blind tests are conducted on contaminated kitchen utensils and foods. The proposed technique is validated by the successful detection of bacterial species from the contaminated surfaces. The use of a 3D nanostructure swab, portable Raman device, and deep learning-based classification provides a powerful tool for rapid identification (≈5 min) of foodborne bacterial species. The detection strategy shows significant potential for reliable food safety monitoring, making a meaningful contribution to public health and the food industry.

Artificial protein assemblies with well-defined supramolecular protein nanostructures.

Nature uses a wide range of well-defined biomolecular assemblies in diverse cellular processes, where proteins are major building blocks for these supramolecular assemblies. Inspired by their natural counterparts, artificial protein-based assemblies have attracted strong interest as new bio-nanostructures, and strategies to construct ordered protein assemblies have been rapidly expanding. In this review, we provide an overview of very recent studies in the field of artificial protein assemblies, with the particular aim of introducing major assembly methods and unique features of these assemblies. Computational de novo designs were used to build various assemblies with artificial protein building blocks, which are unrelated to natural proteins. Small chemical ligands and metal ions have also been extensively used for strong and bio-orthogonal protein linking. Here, in addition to protein assemblies with well-defined sizes, protein oligomeric and array structures with rather undefined sizes (but with definite repeat protein assembly units) also will be discussed in the context of well-defined protein nanostructures. Lastly, we will introduce multiple examples showing how protein assemblies can be effectively used in various fields such as therapeutics and vaccine development. We believe that structures and functions of artificial protein assemblies will be continuously evolved, particularly according to specific application goals.

Development of PM10 and PM2.5 cyclones for small sampling ports at stationary sources: Numerical and experimental study.

Air pollution caused by particulate matter (PM) has become a serious issue, and significant research has focused on managing large stationary emission sources, i.e., the primary sources of PM. Currently, the U.S. Environmental Protection Agency (EPA) Method 201A and ISO 23210 are predominantly employed to measure the PM emissions at large stationary sources. Method 201A is designated as a standard test method in Korea, but it is difficult to measure PM10 and PM2.5 simultaneously owing to the size of the full-set cyclone. In large stationary emission sources, the use of a serial connection of PM10 and PM2.5 cyclones is unsuitable for measurements at conventional sampling ports featuring diameters of approximately 100 mm. Therefore, in this study, PM10 and PM2.5 cyclones were developed to replace the cyclones currently used in Method 201A. The developed cyclones featured a cutoff diameter, which was confirmed by numerical and experimental analyses that were close to Method 201A. Moreover, there was an increase in the stiffness of collection efficiency. The hook adaptor, which is a key accessory used in Method 201A, was found to be applicable to the newly developed cyclones. This alternative method will help reduce the measurement time by simultaneously measuring TSP, PM10, and PM2.5 and eliminates the costs of installing or refurbishing additional sampling ports at existing large stationary sources.

Multivalent-Interaction-Driven Assembly of Discrete, Flexible, and Asymmetric Supramolecular Protein Nano-Prisms.

Current approaches to design monodisperse protein assemblies require rigid, tight, and symmetric interactions between oligomeric protein units. Herein, we introduce a new multivalent-interaction-driven assembly strategy that allows flexible, spaced, and asymmetric assembly between protein oligomers. We discovered that two polygonal protein oligomers (ranging from triangle to hexagon) dominantly form a discrete and stable two-layered protein prism nanostructure via multivalent interactions between fused binding pairs. We demonstrated that protein nano-prisms with long flexible peptide linkers (over 80 amino acids) between protein oligomer layers could be discretely formed. Oligomers with different structures could also be monodispersely assembled into two-layered but asymmetric protein nano-prisms. Furthermore, producing higher-order architectures with multiple oligomer layers, for example, 3-layered nano-prisms or nanotubes, was also feasible.

Determination of the emission rate for ultrafine and accumulation mode particles as a function of time during the pan-frying of fish.

Particulate matter (PM) from cooking is considered one of the most harmful indoor air pollutants causing numerous adverse health effects, and it is essential to comprehend the characteristics of the particles generated from cooking to prevent these problems. In this study, we investigated PM from the pan-frying of salmon using number concentration and developed emission rates as a function of time for ultrafine particles (UFPs < 100 nm) and accumulation mode particles (AMPs 0.1-1 µm). The newly defined emission rates vary significantly with time and are very different from the conventionally determined rates that do not consider the variation of particle concentration with time. The emission rate of UFPs decreased over time after a sharp rise, whereas that of AMPs continued to increase, resulting in a change in the proportions of UFPs and AMPs in the total PM from 93 to 7% to 72 and 28%, respectively. Particle-particle interactions such as coagulation and coalescence were observed between primary particles via high resolution transmission electron microscopy (HR-TEM), which is a plausible reason for the decreasing emission rate of UFPs with time. The emission rate as a function of time can serve as a tool to estimate PM from cooking, as well as to monitor the change trends through phenomena such as agglomeration.

Homo-molecular Fluorescence Complementation for Direct Visualization of Receptor Oligomerization in Living Cells.

Cell surface receptor oligomerization is an attractive target process for drug screening. However, simple but reliable (and thus high-throughput) visualization methods for receptor oligomerization are still lacking. Herein, we report on a new single-construct homo-molecular fluorescence complementation (Homo-FC) probe, which shows strong fluorescence signals by oligomerization of fused receptors in living cells with unexpectedly low background signals. Importantly, this high signal-to-noise ratio was not affected by expression level variations of fused receptors. The Homo-FC probe was developed by optimized flopped fusion of split fragments of superfolder green fluorescence protein and subsequent surface charge engineering. Homo-FC reliably visualized the oligomerization of diverse natural receptors such as GPCR, EGFR, and even cytosolic DAI.

Applying Multivalent Biomolecular Interactions for Biosensors.

Multivalent interactions between more than one interconnected biomolecule are easily found in diverse natural systems. With the cooperation of many interacting pairs, this clustered binding can achieve highly enhanced affinities. Whereas the binding of an individual pair remains reversible, the binding between multivalent biomolecules can become nearly irreversible. Although the underlying principles of the multivalent effect have yet to be revealed, this intriguing concept of multivalent interaction has been widely applied to diverse fields. Multivalency has become a key strategy to increase the potency of inhibitors against target pathogens and, more recently, enhanced target binding by multivalency has offered an attractive strategy for biosensing. In this article, the current status of multivalent interaction studies and their progress in the biosensing area will be discussed.

Discovery of fluorescent 3-heteroarylcoumarin derivatives as novel inhibitors of anaplastic lymphoma kinase.

Altered expression or hyperactivation of anaplastic lymphoma kinase (ALK), as a consequence of translocations or point mutations, is one of the main oncogenic drivers in non-small cell lung cancer. Using structure-based design and in vitro enzyme assays, we identified 3-heteroarylcoumarin as a new template for the development of novel fluorescent ALK inhibitors. Molecular simulation provided structural insights for the design of 3-heteroarylcoumarin derivatives, which were easily prepared through efficient synthetic approaches including direct C-H cross coupling. Importantly, these coumarin-based ALK inhibitors can be tracked using microscopy techniques: we illustrated the use of the most potent compound in this series, 5a, (ALK/IC50 = 0.51 µM, λemi = 500 nm, φF = 0.29) to monitor its subcellular distribution pattern by confocal fluorescence microscopy.

Four-fold Channel-Nicked Human Ferritin Nanocages for Active Drug Loading and pH-Responsive Drug Release.

Human ferritins are emerging platforms for non-toxic protein-based drug delivery, owing to their intrinsic or acquirable targeting abilities to cancer cells and hollow cage structures for drug loading. However, reliable strategies for high-level drug encapsulation within ferritin cavities and prompt cellular drug release are still lacking. Ferritin nanocages were developed with partially opened hydrophobic channels, which provide stable routes for spontaneous and highly accumulated loading of FeII -conjugated drugs as well as pH-responsive rapid drug release at endoplasmic pH. Multiple cancer-related compounds, such as doxorubicin, curcumin, and quercetin, were actively and heavily loaded onto the prepared nicked ferritin. Drugs on these minimally modified ferritins were effectively delivered inside cancer cells with high toxicity.

Fabrication of Oligomeric Avidin Scaffolds for Valency-Controlled Surface Display of Functional Ligands.

Multivalent surface display of biomolecules is crucial to study and utilize multivalent biological interactions. However, precise valency control of surface-displayed ligands remains extremely difficult. Now a series of new oligomeric avidin proteins were fabricated that allow facile control of surface multivalency of biotinylated ligands. Naturally dimeric rhizavidin (RA) was engineered to form a mixture of oligomeric avidin assemblies, and discrete RA oligomers from the dimer to octamer of RA, were homogeneously prepared. These oligomeric avidins are in polygonal forms with expected numbers of stable biotin binding sites. Upon immobilization on low-density biotin-coated gold surfaces, RA dimer, trimer, and tetramer scaffolds provided accurate mean residual valencies of 2, 3, and 4, respectively, for biotinylated proteins. Valency-controlled display of antibody binding protein G on these RA surfaces showed clear valency-dependent enhancement of antibody capturing stability.

A Multivalent Structure-Specific RNA Binder with Extremely Stable Target Binding but Reduced Interaction with Nonspecific RNAs.

By greatly enhancing binding affinities against target biomolecules, multivalent interactions provide an attractive strategy for biosensing. However, there is also a major concern for increased binding to nonspecific targets by multivalent binding. A range of charge-engineered probes of a structure-specific RNA binding protein PAZ as well as multivalent forms of these PAZ probes were constructed by using diverse multivalent avidin proteins (2-mer, 4-mer, and 24-mer). Increased valency vastly enhanced the binding stability of PAZ to structured target RNA. Surprisingly, nonspecific RNA binding of multivalent PAZ can be reduced even below that of the PAZ monomer by controlling negative charges on both PAZ and multivalent avidin scaffolds. The optimized 24-meric PAZ showed nearly irreversible binding to target RNA with negligible binding to nonspecific RNA, and this ultra-specific 24-meric PAZ probe allowed SERS detection of intact microRNAs at an attomolar level.

Artificial supramolecular protein assemblies as functional high-order protein scaffolds.

Supramolecular assemblies of protein building blocks potentially offer unique biomaterials with unmatched functionalities as well as atomic level structural accuracy. An increasing number of assembling strategies have been reported for the fabrication of diverse artificial protein assemblies, ranging from rather heterogeneous protein oligomers to computationally designed discrete protein architectures. In this perspective, we discuss these artificial protein supramolecules in terms of their use as highly potent high-order protein scaffolds that can display various functional proteins with precise structural and valency control. Following a brief overview of current approaches for protein assembly, several examples of functional protein assemblies have been introduced, with a particular focus on our recent report of valency-controlled green fluorescent protein nano-assemblies. Our supramolecular protein scaffolds allow building a series of polygonal assemblies of functional binding proteins, which provide unprecedented ways to study multivalent protein interactions. Even with many remaining challenges, there is unlimited potential of artificial protein scaffolds in many fields from nanotechnology to vaccine development.

A Rhizavidin Monomer with Nearly Multimeric Avidin-Like Binding Stability Against Biotin Conjugates.

Developing a monomeric form of an avidin-like protein with highly stable biotin binding properties has been a major challenge in biotin-avidin linking technology. Here we report a monomeric avidin-like protein-enhanced monoavidin-with off-rates almost comparable to those of multimeric avidin proteins against various biotin conjugates. Enhanced monoavidin (eMA) was developed from naturally dimeric rhizavidin by optimally maintaining protein rigidity during monomerization and additionally shielding the bound biotin by diverse engineering of the surface residues. eMA allowed the monovalent and nonperturbing labeling of head-group-biotinylated lipids in bilayer membranes. In addition, we fabricated an unprecedented 24-meric avidin probe by fusing eMA to a multimeric cage protein. The 24-meric avidin and eMA were utilized to demonstrate how artificial clustering of cell-surface proteins greatly enhances the internalization rates of assembled proteins on live cells.

A facile synthesis of fluorescent silver nanoclusters with human ferritin as a synthetic and interfacing ligand.

Water-soluble fluorescent silver nanoclusters (NCs) formed on biomolecule ligands have been extensively studied due to their great potential as new biocompatible fluorescent materials for biosensors. As synthetic ligands, proteins in particular can provide unique structures and functions to the assembled fluorescent silver clusters. A key challenge, however, is to develop appropriate protein ligands and synthetic approaches for cluster formation, especially using native aqueous solutions, to fully preserve the valuable properties of the protein templates. Here we report a human ferritin-templated synthesis of fluorescent silver NCs under neutral aqueous buffer conditions. The unique metal binding property of ferritin and an optimized silver ion reduction allowed us to produce highly stable fluorescent silver NCs that are steadily assembled in the cage-like ferritin proteins. The fluorescent clusters were also successfully assembled on genetically engineered ferritin with antibody-binding protein G. The resulting protein G-ferritin-silver NC complex fully retained the ferritin structure as well as the antibody binding ability. The present silver nanoclusters on ferritin (Ft-Ag NCs) also showed highly specific Cu(2+)-induced fluorescence quenching. By exploiting the large but stable nature of ferritin, we fabricated a highly robust and porous hydrogel sensor system for rapid Cu(2+) detection, where the Ft-Ag NCs were stably encapsulated in surface-bound hydrogels with large pore sizes. Our Ft-Ag NCs that are formed under native aqueous conditions will have great potential as a new fluorescent material with the high structural and functional diversities of ferritin.

Ultra-specific zeptomole microRNA detection by plasmonic nanowire interstice sensor with Bi-temperature hybridization.

MicroRNAs (miRNAs) are emerging new biomarkers for many human diseases. To fully employ miRNAs as biomarkers for clinical diagnosis, it is most desirable to accurately determine the expression patterns of miRNAs. The optimum miRNA profiling method would feature 1) highest sensitivity with a wide dynamic range for accurate expression patterns, 2) supreme specificity to discriminate single nucleotide polymorphisms (SNPs), and 3) simple sensing processes to minimize measurement variation. Here, an ultra-specific detection method of miRNAs with zeptomole sensitivity is reported by applying bi-temperature hybridizations on single-crystalline plasmonic nanowire interstice (PNI) sensors. This method shows near-perfect accuracy of SNPs and a very low detection limit of 100 am (50 zeptomole) without any amplification or labeling steps. Furthermore, multiplex sensing capability and wide dynamic ranges (100 am-100 pm) of this method allows reliable observation of the expression patterns of miRNAs extracted from human tissues. The PNI sensor offers combination of ultra-specificity and zeptomole sensitivity while requiring two steps of hybridization between short oligonucleotides, which could present the best set of features for optimum miRNA sensing method.

Highly improved specificity for hybridization-based microRNA detection by controlled surface dissociation.

Poor specificity has been a lingering problem in many microRNA profiling methods, particularly surface hybridization-based methods such as microarrays. Here, we carefully investigated surface hybridization and dissociation processes of a number of sequentially similar microRNAs against nucleic acid capture probes. Single-base mismatched microRNAs were similarly hybridized to a complementary DNA capture probe and thereby poorly discriminated during conventional stringent hybridization. Interestingly, however, mismatched microRNAs showed significantly faster dissociation from the probe than the perfectly matched microRNA. Systematic analysis of various washing conditions clearly demonstrated that extremely high specificity can be obtained by releasing non-specific microRNAs from assay surfaces during a stringent and controlled dissociation step. For instance, compared with stringent hybridization, surface dissociation control provided up to 6-fold better specificity for Let-7a detection than for other Let-7 family microRNAs. In addition, a synthetically introduced single-base mismatch on miR206 was almost completely discriminated by optimized surface dissociation of captured microRNAs, while this mismatch was barely distinguished from target miR206 during stringent hybridization. Furthermore, a single dissociation condition was successfully used to simultaneously measure four different microRNAs with extremely high specificity using melting temperature-equalized capture probes. The present study on selective dissociation of surface bound microRNAs can be easily applied to various hybridization based detection methods for improved specificity.

High order assembly of multiple protein cages with homogeneous sizes and shapes via limited cage surface engineering.

Protein cages are attractive building blocks to build high order materials such as 3D cage lattices, which offer accurately ordered bio-templates. However, controlling the size or valency of these cage-to-cage assemblies is extremely difficult due to highly multivalent and symmetric cage structures. Here, various high order cage assemblies with homogeneous sizes and geometries are constructed by developing an anisotropic ferritin cage with limitedly exposed binding modules, leucine zipper. The anisotropic ferritin is produced as expressed in cells without the need of complex in vitro cage fabrication by careful subunit manipulation. Ferritin cages with limitedly exposed zippers are assembled around a core ferritin with fully exposed opposing zippers, generating homogeneous high order structures, whereas two fully exposed ferritins are assembled into heterogeneous cage aggregates. Diverse fully exposed core cages are prepared by varying the zipper-ferritin fusion geometries and even by using larger cage structures. With these core cages and the anisotropic ferritin, a range of high order cage assemblies with diverse ferritin valencies (3 to over 12) and sizes (over 40 nm) are created. Cell surface binding and internalization of cage structures are greatly varied by assembly sizes, where high order ferritins are clearly more effective than monomeric ferritin.

Elution-free DNA detection using CRISPR/Cas9-mediated light-up aptamer transcription: Toward all-in-one DNA purification and detection tube.

Accurate and efficient detection of DNA is crucial for disease diagnosis and health monitoring. The traditional methods for DNA analysis involve multiple steps, including sample preparation, lysis, extraction, amplification, and detection. In this study, we present a one-step elution-free DNA analysis method based on the combination of clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9)-mediated light-up aptamer transcription (CLAT) assay and a DNA-capturing poly(2-dimethylaminomethyl styrene) (pDMAMS)-coated tube. The sample solution and lysis buffer are added to the pDMAMS-coated tube, and the DNA is efficiently captured on the surface via electrostatic interaction and directly detected by CLAT assay. The ability of the CRISPR/Cas9 system to specifically recognize DNA enables direct detection of DNA captured on the pDMAMS-coated tube. The combination of CLAT assay and pDMAMS-coated tube simplifies DNA detection in a single tube without the need for complicated extraction steps, improving sensitivity. Our platform demonstrated attomolar sensitivity in the detection of target DNA in cell lysate (0.92 aM), urine (7.7 aM), and plasma (94.6 aM) samples within 1 h. The practical applicability of this method was further demonstrated in experiments with tumor-bearing mice. We believe that this approach brings us closer to an all-in-one DNA purification and detection tube system and has potential applications in tissue and liquid biopsies, as well as various other DNA sensing applications.

Gold patterned biochips for on-chip immuno-MALDI-TOF MS: SPR imaging coupled multi-protein MS analysis.

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) analysis of immuno-captured target protein efficiently complements conventional immunoassays by offering rich molecular information such as protein isoforms or modifications. Direct immobilization of antibodies on MALDI solid support enables both target enrichment and MS analysis on the same plate, allowing simplified and potentially multiplexing protein MS analysis. Reliable on-chip immuno-MALDI-TOF MS for multiple biomarkers requires successful adaptation of antibody array biochips, which also must accommodate consistent reaction conditions on antibody arrays during immuno-capture and MS analysis. Here we developed a facile fabrication process of versatile antibody array biochips for reliable on-chip MALDI-TOF-MS analysis of multiple immuno-captured proteins. Hydrophilic gold arrays surrounded by super-hydrophobic surfaces were formed on a gold patterned biochip via spontaneous chemical or protein layer deposition. From antibody immobilization to MALDI matrix treatment, this hydrophilic/phobic pattern allowed highly consistent surface reactions on each gold spot. Various antibodies were immobilized on these gold spots both by covalent coupling or protein G binding. Four different protein markers were successfully analyzed on the present immuno-MALDI biochip from complex protein mixtures including serum samples. Tryptic digests of captured PSA protein were also effectively detected by on-chip MALDI-TOF-MS. Moreover, the present MALDI biochip can be directly applied to the SPR imaging system, by which antibody and subsequent antigen immobilization were successfully monitored.

A study on the characteristics of silt loading on paved roads in the Seoul metropolitan area using a mobile monitoring system.

This study is considered the first attempt to apply a mobile monitoring system to estimating silt loading on paved roads in a megacity such as the Seoul metropolitan area. Using a mobile monitoring system developed in 2005, we estimated silt loadings on representative paved roads in the Seoul metropolitan area, including the city of Incheon, over a period of 3 yr. The temporal and spatial characteristics of silt loading were investigated for the carefully selected roads that may reflect the characteristics of the cities of Seoul and Incheon. In this study, changes in the average silt loading values were investigated in terms of land use, the temporal resolution of data acquisition (i.e., seasonal, daily, three-hour scale), the road width or number of lanes, and rainfall, which may affect the characteristics of the average silt loading significantly. It was found that the advantages of using the mobile monitoring system are its ability to obtain a large quantity of silt loading data in a short period of time and over a wide area and its ability to create a silt loading map showing the relative magnitude of silt loading in relation to a specific location, which makes it possible to easily locate hot spots.