Single Protein Molecules Research Articles

Design of an integrated optics for transglutaminase conformational change

Abstract A detailed theoretical research on a novel integrated optics with surface plasmon resonance (SPR)-based waveguide is presented. An SPR multilayer section is designed by introducing intermediate layers to support fundamental mode and stronger electromagnetic field. Most current techniques excited with a single optical mode are “blind” to the conformational change of bound molecules. The greatest strength of such technique lies in monitoring protein conformational change. The Mach-Zehnder interferometry architecture is adopted to maximize sensor sensitivity and prevent unspecific binding from biological material and error from geometrical difference. A proof-of-concept is conducted on the integrated optics by detecting protein transglutaminase (tTG) specifically binding calcium ion (Ca2+) via the finite-element method. The minimum decrease of biolayer thickness (δa =0.5 nm) caused by tTG-Ca2+ interaction is much smaller than a single protein molecule (normally 1–100 nm). Associated with biolayer thickness and density, a thin dense layer is formed as Ca2+ binds to the tTG protein. Thus, the tTG protein undergoing conformational change on binding Ca2+ is traced and verified as molecular interaction occurs.

Extensive Sampling of the Cavity of the GroEL Nanomachine by Protein Substrates Probed by Paramagnetic Relaxation Enhancement.

The chaperonin GroEL is a 800 kDa nanomachine comprising two heptameric rings, each of which encloses a large cavity or folding chamber. The GroEL cycle involves ATP-dependent capping of the cavity by the cochaperone GroES to create a nanocage in which a single protein molecule can fold. We investigate how protein substrates sample the cavity prior to encapsulation by GroES using paramagnetic relaxation enhancement to detect transient, sparsely populated interactions between apo GroEL, paramagnetically labeled at several sites within the cavity, and three variants of an SH3 protein domain (the fully native wild type, a triple mutant that exchanges between a folded state and an excited folding intermediate, and a stable folding intermediate mimetic). We show that the substrate not only interacts with the hydrophobic inner rim of GroEL at the mouth of the cavity but also penetrates deep within the cavity, transiently contacting the disordered C-terminal tail, and, in the case of the folding intermediate mimetic, the base as well. Transient interactions with the C-terminal tail may facilitate substrate capture and retention prior to encapsulation.

The immune complex transfer enzyme immunoassay: Mechanism of improved sensitivity compared with conventional sandwich enzyme immunoassay

Immune complex transfer enzyme immunoassay (ICT-EIA) is one of the technologies which enables ultrasensitive measurements of protein biomarkers. The ICT-EIA uses two types of beads and sandwich-shaped immune complexes are transferred from the 1st bead to the 2nd bead in the assay. The purpose of the study is to reveal the reason why the ICT-EIA achieves ultrasensitive measurements by making a detailed comparison between conventional sandwich enzyme immunoassay (Sand-EIA) and ICT-EIA. ICT-EIAs for cytokines were developed and the sensitivities were compared with the sandwich EIAs. ICT-EIAs had about 100 times higher sensitivities because of markedly decreased non-specific signals derived from non-specific binding of detection antibody conjugates onto the polystyrene bead. The results have enabled us to show the importance of reducing non-specific signals in EIAs to obtain higher sensitivities. This methodology should be more valuable if combined with a different label detection system such as digital counting or immuno-PCR, which may enable the detection of single target protein molecules in the near future.

Single-Molecule Spectroscopy Study of Crowding-Induced Protein Spontaneous Denature and Crowding-Perturbed Unfolding-Folding Conformational Fluctuation Dynamics.

The effects of molecular crowding on protein folding-unfolding processes are of importance for understanding protein function and structure dynamics in living cells. The enhancement of protein stability as a result of reduced entropic effect in the presence of molecular crowding is well understood both experimentally and theoretically. However, because of the complexity and interplay between various interactions existing in an equally favored environment of protein folding and unfolding conformational dynamics, such a simple reduced entropic enhancement model does not suffice to describe protein folding conformational dynamics under a protein crowding condition. In this paper, we report our observation on that single protein molecules spontaneously denature into unfolded proteins and folding-unfolding fluctuations in solution of crowding reagent Ficoll 70. We have identified that such protein dynamics involves a combined mechanism of polymer-polymer interaction, entropic effects, and protein solvation dynamics. We characterize the protein folding-unfolding dynamics by using single-molecule spectroscopy to obtain detailed molecular dynamic scale information on the protein folding-unfolding conformational fluctuation dynamics. Our findings suggest that the complex unfolding dynamic processes are spontaneous denature of single protein molecules induced by molecular crowding effect which has been elusive for analysis in ensemble-averaged measurements. Furthermore, the energy needed for the spontaneous unfolding is at the biological accessible force fluctuation level, which suggests a strong implication of significant human health relevance and importance. The new knowledge of the inhomogeneous protein unfolding processes can serve as a step forward to a mechanistic understanding of human diseases associated with molecular crowding, protein aggregates, fibril formation, as well as gene translational regulation processes typically under a molecular crowded local environment.

QuipuNet: Convolutional Neural Network for Single-Molecule Nanopore Sensing.

Nanopore sensing is a versatile technique for the analysis of molecules on the single-molecule level. However, extracting information from data with established algorithms usually requires time-consuming checks by an experienced researcher due to inherent variability of solid-state nanopores. Here, we develop a convolutional neural network (CNN) for the fully automated extraction of information from the time-series signals obtained by nanopore sensors. In our demonstration, we use a previously published data set on multiplexed single-molecule protein sensing. The neural network learns to classify translocation events with greater accuracy than previously possible, while also increasing the number of analyzable events by a factor of 5. Our results demonstrate that deep learning can achieve significant improvements in single molecule nanopore detection with potential applications in rapid diagnostics.

Direct Profiling the Post-Translational Modification Codes of a Single Protein Immobilized on a Surface Using Cu-free Click Chemistry.

Combinatorial post-translational modifications (PTMs), which can serve as dynamic “molecular barcodes”, have been proposed to regulate distinct protein functions. However, studies of combinatorial PTMs on single protein molecules have been hindered by a lack of suitable analytical methods. Here, we describe erasable single-molecule blotting (eSiMBlot) for combinatorial PTM profiling. This assay is performed in a highly multiplexed manner and leverages the benefits of covalent protein immobilization, cyclic probing with different antibodies, and single molecule fluorescence imaging. Especially, facile and efficient covalent immobilization on a surface using Cu-free click chemistry permits multiple rounds (>10) of antibody erasing/reprobing without loss of antigenicity. Moreover, cumulative detection of coregistered multiple data sets for immobilized single-epitope molecules, such as HA peptide, can be used to increase the antibody detection rate. Finally, eSiMBlot enables direct visualization and quantitative profiling of combinatorial PTM codes at the single-molecule level, as we demonstrate by revealing the novel phospho-codes of ligand-induced epidermal growth factor receptor. Thus, eSiMBlot provides an unprecedentedly simple, rapid, and versatile platform for analyzing the vast number of combinatorial PTMs in biological pathways.

Testing cancer inhibitors at scale.

A scalable and fast method for profiling single-molecule protein–protein interactions predicts the sensitivity of cells to inhibitors of the epidermal growth factor receptor, which is typically overexpressed in cancer.

Compressive Force Spectroscopy: From Living Cells to Single Proteins.

One of the most successful applications of atomic force microscopy (AFM) in biology involves monitoring the effect of force on single biological molecules, often referred to as force spectroscopy. Such studies generally entail the application of pulling forces of different magnitudes and velocities upon individual molecules to resolve individualistic unfolding/separation pathways and the quantification of the force-dependent rate constants. However, a less recognized variation of this method, the application of compressive force, actually pre-dates many of these “tensile” force spectroscopic studies. Further, beyond being limited to the study of single molecules, these compressive force spectroscopic investigations have spanned samples as large as living cells to smaller, multi-molecular complexes such as viruses down to single protein molecules. Correspondingly, these studies have enabled the detailed characterization of individual cell states, subtle differences between seemingly identical viral structures, as well as the quantification of rate constants of functionally important, structural transitions in single proteins. Here, we briefly review some of the recent achievements that have been obtained with compressive force spectroscopy using AFM and highlight exciting areas of its future development.

Single-molecule peptide fingerprinting

Proteomic analyses provide essential information on molecular pathways of cellular systems and the state of a living organism. Mass spectrometry is currently the first choice for proteomic analysis. However, the requirement for a large amount of sample renders a small-scale proteomics study challenging. Here, we demonstrate a proof of concept of single-molecule FRET-based protein fingerprinting. We harnessed the AAA+ protease ClpXP to scan peptides. By using donor fluorophore-labeled ClpP, we sequentially read out FRET signals from acceptor-labeled amino acids of peptides. The repurposed ClpXP exhibits unidirectional processing with high processivity and has the potential to detect low-abundance proteins. Our technique is a promising approach for sequencing protein substrates using a small amount of sample.

Immunoblotting Quantification Approach for Identifying Potential Hypoallergenic Citrus Cultivars

The inherent allergens of citrus fruits, such as Cit s 1, Cit s 2, Cit s 3 can cause allergic reactions. A better understanding of the genetic factors (cultivar to cultivar) affecting the allergenic potential of citrus fruits would be beneficial for further identification of hypoallergenic genotypes. In the present study, an immunoblotting quantification approach was adopted to assess the potential allergenicity of 21 citrus cultivars, including nine subgroups (tangerine, satsuma, orange, pummelo, grapefruit, lemon, kumquat, tangor, and tangelo). To prepare highly sensitive and specific rabbit polyclonal antibodies, antigenicity of purified rCit s 1.01, rCit s 2.01, and rCit s 3.01 peptides were enhanced with high epitope density in a single protein molecule. The data integration of three citrus allergen quantifications demonstrated that the four pummelo cultivars (Kao Phuang Pummelo, Wanbai Pummelo, Shatian Pummelo, and Guanxi Pummelo) were potential hypoallergenic, compared with other 8 subgroups. Moreover, the immunological analyses with sera of allergic subjects revealed that Shatian Pummelo and Guanxi Pummelo showed the lowest immunoreactivity in 8 representative citrus cultivars. These potential hypoallergenic genotypes are of great significance to not only allergic consumers but also citrus breeders in the genetic improvement of hypoallergenic citrus as breeding resources.

Rationally designed synthetic protein hydrogels with predictable mechanical properties

Designing synthetic protein hydrogels with tailored mechanical properties similar to naturally occurring tissues is an eternal pursuit in tissue engineering and stem cell and cancer research. However, it remains challenging to correlate the mechanical properties of protein hydrogels with the nanomechanics of individual building blocks. Here we use single-molecule force spectroscopy, protein engineering and theoretical modeling to prove that the mechanical properties of protein hydrogels are predictable based on the mechanical hierarchy of the cross-linkers and the load-bearing modules at the molecular level. These findings provide a framework for rationally designing protein hydrogels with independently tunable elasticity, extensibility, toughness and self-healing. Using this principle, we demonstrate the engineering of self-healable muscle-mimicking hydrogels that can significantly dissipate energy through protein unfolding. We expect that this principle can be generalized for the construction of protein hydrogels with customized mechanical properties for biomedical applications.

Stretching and Activation of Single Protein Molecules by Flow Reveals the Mechanism of von Willebrand Factor Adhesion

Stretching and Activation of Single Protein Molecules by Flow Reveals the Mechanism of von Willebrand Factor Adhesion

Electro-Osmotic Capture and Ionic Discrimination of Small Peptides and Proteins with FRAC Nanopores for Single-Molecule Protein Sequencing

Electro-Osmotic Capture and Ionic Discrimination of Small Peptides and Proteins with FRAC Nanopores for Single-Molecule Protein Sequencing

Single-Molecule Protein Identification Through Peptide Chain Barcoding and Optical Readout

A method for single-molecule protein identification and post-translational modification (PTM) mapping could potentially allow high-sensitivity detection and profiling of the cellular and circulatory proteome, and helps to better characterise cell types and differentiation states, analyse cellular regulatory programs and dynamics changes. Current workhorse approach of mass spectrometry based proteomic methods rely on digestion of proteins into short peptide fragments, exhibit biased fragment ionisation and have limited detection sensitivity. Combined with recent development in super-resolution single-molecule fluorescence microscopy methods, we are developing a novel method for single-molecule protein identification through peptide chain barcoding and optical readout. In particular, we will apply previously developed DNA-PAINT (point accumulation for imaging in nanoscale topography) and DMI (discrete molecular imaging) fluorescence super-resolution methods to protein molecules that are residue-specifically labelled with oligonucleotide probes. Using a combination of high-resolution (<5 nm) single-molecule imaging and blinking kinetics analysis, we present bioinformatics analysis demonstrating discrimination and identification power of our method, as well as high-efficiency residue labelling and single-molecule optical identification of short model proteins.

Protein Translocation through a MoS2 Nanopore:A Molecular Dynamics Study

Single-molecule protein sequencing is essential for a wide range of research and application fields, where the recently emerging 2D nanopores have open unprecedented possibilities. The protein translocating through a 2D nanopore plays vital roles in the nanopore-based analysis, where various detection or sequencing method could be employed. It is critically important to study the protein translocating through various 2D nanopores, which may help design efficient nanopore devices. However, few 2D materials other than graphene have been studied in this context yet. In this work, molecular dynamics (MD) simulations were employed to investigate the feasibility of single-molecule protein sequencing with a MoS2 nanopore. Both phenylalanine–glycine repeat peptides and a peptide with the sequence taken from the thioredoxin protein were studied in their extended unfolded state, which adsorbed onto the MoS2 membrane spontaneously. These peptides kept adsorbing onto MoS2 and permeated unidirectionally through the Mo...

The mechanism of catalase loading into porous vaterite CaCO3 crystals by co-synthesis.

Porous vaterite CaCO3 crystals are nowadays extensively used as high-capacity bio-friendly sacrificial templates for the fabrication of such protein-containing nano- and micro-particles as capsules and beads. The first step in the protein encapsulation is performed through loading of the protein molecules into the crystals. Co-synthesis is one of the most useful and simple methods proven to effectively load crystals with proteins; however, the loading mechanism is still unknown. To understand the mechanism, in this study, we focus on the loading of a model protein catalase into the crystals by means of adsorption into pre-formed crystals (ADS) and co-synthesis (COS). Analysis of the physico-chemical characteristics of the protein in solution and during the loading and simulation of the protein packing into the crystals are performed. COS provides more effective loading than ADS giving protein contents in the crystals of 20.3 and 3.5 w/w%, respectively. Extremely high loading for COS providing a local protein concentration of about 550 mg mL-1 is explained by intermolecular protein interactions, i.e. formation of protein aggregates induced by CaCl2 during the co-synthesis. This is supported by a lower equilibrium constant obtained for COS (5 × 105 M-1) than for ADS (23 × 105 M-1), indicating a higher affinity of single protein molecules rather than aggregates to the crystal surface. Fitting the adsorption isotherms by classical adsorption models has shown that the Langmuir and BET models describe the adsorption phenomenon better than the Freundlich model, proving the aggregation in solution followed by adsorption of the aggregates into the crystals. We believe that this study will be useful for protein encapsulation through CaCO3 crystals using the COS method.

High-speed atomic force microscopy and its future prospects.

Various techniques have been developed and used to investigate how proteins produce complex biological architectures and phenomena. Among these techniques, high-speed atomic force microscopy (HS-AFM) holds a unique position. It is only HS-AFM that allows the simultaneous assessment of structure and dynamics of single protein molecules in action. This new microscopy tool has been successfully applied to a variety of proteins, from motor proteins to membrane proteins, antibodies, enzymes, and even to intrinsically disordered proteins. And yet there still remain many biomolecular phenomena that cannot be addressed by HS-AFM in its current form. Here, I present a brief history of HS-AFM development, describe the current state of HS-AFM, and then discuss which new biological scanning probe microscopy techniques will be coming up next.

Myoglobin and α-Lactalbumin Form Smaller Complexes with the Biosurfactant Rhamnolipid Than with SDS

Biosurfactants (BSs) attract increasing attention as sustainable alternatives to petroleum-derived surfactants. This necessitates structural insight into how BSs interact with proteins encountered by current chemical surfactants. Thus, small-angle x-ray scattering (SAXS) has been used for studying the structures of complexes made of the proteins α-Lactalbumin (αLA) and myoglobin (Mb) with the biosurfactant rhamnolipid (RL). For comparison, complexes between αLA and the chemical surfactant sodium dodecyl sulfate (SDS) were also investigated. The SAXS data for pure RL micelles can be described by prolate core-shell structures with a core radius of 7.7 Å and a shell thickness of 12 Å, giving an aggregation number of 11. The small core radius is attributed to RL’s complex hydrophobic tail. Data for the αLA-RL complex agree with a 12-molecule micelle with a single protein molecule in the shell. For Mb-RL, the analysis gives complexes of two connected micelles, each containing 10 RL and one protein in the shells. αLA-RL and Mb-RL form surfactant-saturated complexes above 5.6 and 4.7 mM RL, respectively, leaving the remaining RL in free micelles. The SAXS data for SDS agree with oblate-shaped micelles with a core of 20 Å, core eccentricity 0.7, and shell thickness of 5.45 Å, with an aggregation number of 74. The αLA-SDS complexes contain a prolate micelle with a core radius of 11−14 Å and a shell of 8−12 Å with up to 3 αLA per particle and up to 43 SDS per αLA, both considerably larger than for RL. Unlike the RL-protein complexes, the number of surfactant molecules in αLA-SDS complexes increases with surfactant concentration, and saturate at higher surfactant concentrations than αLA-RL complexes. The results highlight how RL and SDS follow similar overall rules of self-assembly and interactions with proteins, but that differences in the strength of protein-surfactant interactions affect the formed structures.

Observation of giant conductance fluctuations in a protein

Proteins are insulating molecular solids, yet even those containing easily reduced or oxidized centers can have single-molecule electronic conductances that are too large to account for with conventional transport theories. Here, we report the observation of remarkably high electronic conductance states in an electrochemically inactive protein, the ∼200 kD αVβ3 extracellular domain of human integrin. Large current pulses (up to nA) were observed for long durations (many ms, corresponding to many pC of charge transfer) at large gap (>5 nm) distances in an STM when the protein was bound specifically by a small peptide ligand attached to the electrodes. The effect is greatly reduced when a homologous, weakly binding protein (α4β1) is used as a control. In order to overcome the limitations of the STM, the time- and voltage-dependence of the conductance were further explored using a fixed-gap (5 nm) tunneling junction device that was small enough to trap a single protein molecule at any one time. Transitions to a high conductance (∼nS) state were observed, the protein being ‘on’ for times from ms to tenths of a second. The high-conductance states only occur above ∼100 mV applied bias, and thus are not an equilibrium property of the protein. Nanoamp two-level signals indicate the specific capture of a single molecule in an electrode gap functionalized with the ligand. This offers a new approach to label-free electronic detection of single protein molecules. Electronic structure calculations yield a distribution of energy level spacings that is consistent with a recently proposed quantum-critical state for proteins, in which small fluctuations can drive transitions between localized and band-like electronic states.

Analysis of Pore Formation and Protein Translocation Using Large Biological Nanopores.

This paper describes the analysis of pore formation and detection of a single protein molecule using a large nanopore among five different pore-forming proteins. We demonstrate that the identification of appropriate pores for nanopore sensing can be achieved by classifying the channel current signals and performing noise analysis. Through these analyses, we selected a perforin nanopore from the membrane attack complex/perforin superfamily and attempted to use it to detect the granzyme B protein, a serine protease. As a result, we found that granzyme B might pass through the perforin nanopore if it adopts an unfolded structure. Our proposed analytical approach should be useful for exploring several types of nanopore as large biological nanopores other than α-hemolysin.