Protein folding at single-molecule resolution

The protein folding reaction carries great significance for cellular function and hence continues to be the research focus of a large interdisciplinary protein science community. Single-molecule methods are providing new and powerful tools for dissecting the mechanisms of this complex process by virtue of their ability to provide views of protein structure and dynamics without associated ensemble averaging. This review briefly introduces common FRET and force methods, and then explores several areas of protein folding where single-molecule experiments have yielded insights. These include exciting new information about folding landscapes, dynamics, intermediates, unfolded ensembles, intrinsically disordered proteins, assisted folding and biomechanical unfolding. Emerging and future work is expected to include advances in single-molecule techniques aimed at such investigations, and increasing work on more complex systems from both the physics and biology standpoints, including folding and dynamics of systems of interacting proteins and of proteins in cells and organisms. This article is part of a Special Issue entitled: Protein Dynamics: Experimental and Computational Approaches.     

Monitoring early fusion dynamics of human immunodeficiency virus type 1 at single-molecule resolution

The fusion of human immunodeficiency virus type 1 (HIV-1) to host cells is a dynamic process governed by the interaction between glycoproteins on the viral envelope and the major receptor, CD4, and coreceptor on the surface of the cell. How these receptors organize at the virion-cell interface to promote a fusion-competent site is not well understood. Using single-molecule force spectroscopy, we map the tensile strengths, lifetimes, and energy barriers of individual intermolecular bonds between CCR5-tropic HIV-1 gp120 and its receptors CD4 and CCR5 or CXCR4 as a function of the interaction time with the cell. According to the Bell model, at short times of contact between cell and virion, the gp120-CD4 bond is able to withstand forces up to 35 pN and has an initial lifetime of 0.27 s and an intermolecular length of interaction of 0.34 nm. The initial bond also has an energy barrier of 6.7 k(B)T (where k(B) is Boltzmann's constant and T is absolute temperature). However, within 0.3 s, individual gp120-CD4 bonds undergo rapid destabilization accompanied by a shortened lifetime and a lowered tensile strength. This destabilization is significantly enhanced by the coreceptor CCR5, not by CXCR4 or fusion inhibitors, which suggests that it is directly related to a conformational change in the gp120-CD4 bond. These measurements highlight the instability and low tensile strength of gp120-receptor bonds, uncover a synergistic role for CCR5 in the progression of the gp120-CD4 bond, and suggest that the cell-virus adhesion complex is functionally arranged about a long-lived gp120-coreceptor bond.     

Chemotaxis of cell populations through confined spaces at single-cell resolution

Cell migration is crucial for both physiological and pathological processes. Current in vitro cell motility assays suffer from various drawbacks, including insufficient temporal and/or optical resolution, or the failure to include a controlled chemotactic stimulus. Here, we address these limitations with a migration chamber that utilizes a self-sustaining chemotactic gradient to induce locomotion through confined environments that emulate physiological settings. Dynamic real-time analysis of both population-scale and single-cell movement are achieved at high resolution. Interior surfaces can be functionalized through adsorption of extracellular matrix components, and pharmacological agents can be administered to cells directly, or indirectly through the chemotactic reservoir. Direct comparison of multiple cell types can be achieved in a single enclosed system to compare inherent migratory potentials. Our novel microfluidic design is therefore a powerful tool for the study of cellular chemotaxis, and is suitable for a wide range of biological and biomedical applications.     

Detection of two mRNA species at single-cell resolution by double-fluorescence in situ hybridization

Here we describe a fluorescence in situ hybridization protocol that allows for the detection of two mRNA species in fresh frozen brain tissue sections. This protocol entails the simultaneous and specific hybridization of hapten-labeled riboprobes to complementary mRNAs of interest, followed by probe detection via immunohistochemical procedures and peroxidase-mediated precipitation of tyramide-linked fluorophores. In this protocol we describe riboprobes labeled with digoxigenin and biotin, though the steps can be adapted to labeling with other haptens. We have used this approach to establish the neurochemical identity of sensory-driven neurons and the co-induction of experience-regulated genes in the songbird brain. However, this procedure can be used to detect virtually any combination of two mRNA populations at single-cell resolution in the brain, and possibly other tissues. Required controls, representative results and troubleshooting of important steps of this procedure are presented. After tissue sections are obtained, the total length of the procedure is 2-3 d.     

Human gastrointestinal epithelia of the esophagus,stomach, and duodenum resolved at single-cell resolution

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Ramanome technology platform for label-free screening and sorting of microbial cell factories at single-cell resolution

Phenotypic profiling of natural, engineered or synthetic cells has increasingly become a bottleneck in the mining and engineering of cell factories. Single-cell phenotyping technologies are highly promising for tackling this hurdle, yet ideally they should allow non-invasive live-cell probing, be label-free, provide landscape-like phenotyping capability, distinguish complex functions, operate with high speed, sufficient throughput and low cost, and finally, couple with cell sorting so as to enable downstream omics analysis. This review focuses on recent progress in Ramanome Technology Platform (RTP), which consists of Raman spectroscopy based phenotyping, sorting and sequencing of single cells, and discuss the key challenges and emerging trends. In addition, we propose ramanome, a collection of single-cell Raman spectra (SCRS) acquired from individual cells within a cellular population or consortium, as a new type of biological phenome datatype at the single-cell resolution. By establishing the phenome-genome links in a label-free, single-cell manner, RTP should find wide applications in functional screening and strain development of live microbial, plant and animal cell factories.     

Spatial and temporal distribution of solutes in the developing carrot taproot measured at single-cell resolution

The time-course and spatial distribution of sugars and ions in carrot (Daucus carota L.) was studied at fine resolution using single cell (SiCSA) and tissue analysis. Four phases of osmolyte accumulation in the taproot were identified: an amino acid (germination) phase, when internal sources of amino acids provide seedlings with osmotica; an ion phase, when inorganic and organic ions were the main solutes; a hexose phase, when concentrations of glucose and fructose sharply increased and reached their maximum; and a sucrose phase, when sucrose became the major solute. Spatial distribution of sugar in taproot cells showed a general trend of highest concentration on both sides of the vascular cambium (some 200 mM sucrose, 150 mM glucose) and a minimum in the pith (some 100 mM sucrose, 60 mM glucose) and in periderm. Electrolytes (e.g. potassium) followed a distribution generally reciprocal to that of sugars; minimum in the tissue adjacent to the cambium (some 10 mM) and maximum in the pith and periderm (some 60-100 mM). The cambial cells contained unexpectedly low concentrations of sugars and potassium. These spatial and temporal patterns indicate that amino acids, other electrolytes and sugars are interchangeable in the tissue osmotic balance. The nature of the solute is developmentally determined both temporally and spatially. During the accumulation of electrolytes following the initial amino acid phase, osmotic pressure to 420 mosmol kg-1 rises and then remains constant despite large changes in the concentration of individual solutes. This indicates that osmotic pressure is regulated independently of the individual concentrations of solutes.     

Microbial analysis at the single-cell level: tasks and techniques

The heterogeneity of microorganisms themselves is orders of magnitude greater than the heterogeneity of perspectives from which they are contemplated by human observers. Even closely related species may exhibit marked differences in biochemistry and behavior, and, under many conditions, similar, striking heterogeneity may exist within a clonal population of organisms which, in the aggregate, occupy too small a region of space to be visible to the unaided human eye. Using methods of microscopy, microspectrophotometry, and cytometry developed and refined since the 1960s, it is now possible to characterize the physiology and pharmacology of individual microorganisms, and, in many cases, to isolate organisms with selected characteristics for culture and/or further analysis. These methods include fluorescent and confocal microscopy, scanning and image cytometry, and flow cytometry. Fluorescence measurements are particularly important in single-cell analysis; they allow demonstration and quantification of cells' nucleic acid content and sequence, of the presence of specific antigens, and of physiologic characteristics such as enzyme activity and membrane potential. Multiparameter cytometry, combined with cell sorting, provides insight into population heterogeneity and allows selected cells to be separated for further analysis and culture. The technology is applicable to a wide range of problems in contemporary microbiology, including strain selection and the development of antimicrobial agents.     

Calcium imaging of epileptiform events with single-cell resolution

Epileptic discharges propagate through apparently normal circuits, although it is still unclear how this recruitment takes place. To understand the role of different classes of neurons in neocortical epilepsy, we have developed a novel imaging assay that detects which neurons participate in epileptiform discharges. Using calcium imaging of neuronal populations during bicuculline-induced spontaneous epileptiform events in slices from juvenile mouse somatosensory cortex, we find that fast calcium transients correlate with epileptiform field potentials and intracellular depolarizing shifts and can be used as an optical signature that a given neuron has participated in an epileptiform event. Our results demonstrate a novel method to characterize epileptiform events with single-cell resolution. In addition, our data are consistent with an important role for layer 5 in generating neocortical seizures and indicate that subgroups of neurons are particularly prone to epileptiform recruitment.     

A single-cell analysis of virioplankton adsorption, infection, and intracellular abundance in different bacterioplankton physiologic categories

Culture studies of phage–host systems have shown that phage proliferation strongly depends on the physiological state of the host, but it is still unclear to what extent this holds true within aquatic ecosystems. We used a combination of flow sorting and electron microscopy to explore how the frequency of bacterial cells with attached viruses (FCAV), of visibly infected cells, and the number of intracellular viruses are distributed within five physiologic categories: cells with high (HNA) and low (LNA) nucleic acid content, with a compromised membrane, in division, and with an intact-looking morphology. FCAV was not different between the cellular physiologic categories, suggesting low influence of host physiology on viral adsorption. Infected cells were found within all the physiologic categories, besides the dividing cells, but showed different levels of new virion production, with the abundance of intracellular viruses ranked as follows: HNA > intact-looking cells > LNA > compromised membrane cells. These results favor the physiological control hypothesis of viral progeny production. The calculation of viral production rate of the HNA and LNA cells show that viral infection of HNA cells likely accounts for the majority of viral production. It also show that cells considered as less active can still act as resources for phages, although they contain much less intracellular phage particles.     

Probing intercellular interactions between vascular endothelial cadherin pairs at single-molecule resolution and in living cells

Vascular endothelial (VE) cadherin is the surface glycoprotein cadherin specific to the endothelium that mediates cell-cell adhesion and plays a major role in the remodeling, gating, and maturation of vascular vessels. To investigate the contribution of individual VE-cadherins to endothelial cell-cell interactions and investigate whether different classical cadherins display different kinetics and micromechanical properties, we characterize the binding properties of VE-cadherin/VE-cadherin bonds at single-molecule resolution and in living human umbilical vein endothelial cells (HUVECs). Our single-molecule force spectroscopy measurements reveal that type II VE-cadherin molecules form bonds that are less prone to rupture and display a higher tensile strength than bonds formed by classical type I neuronal (N) cadherin and epithelial (E) cadherin. The equilibrium lifetime of the VE-cadherin/VE-cadherin bond is significantly longer than formed by N-cadherin/N-cadherin bonds and E-cadherin/E-cadherin bonds. These results indicate that VE-cadherins form bonds that have kinetics and mechanical properties that are significantly different from those formed by classical type I cadherins, properties that are particularly well adapted to the barrier and adhesive functions of VE-cadherin in endothelial cell-cell junctions.     

Exploring the R-ISS stage-specific regular networks in the progression of multiple myeloma at single-cell resolution

The Revised International Staging System (R-ISS) is a simple and powerful prognostic tool for multiple myeloma (MM). However, heterogeneity in R-ISS stage is still poorly characterised, hampering improvement of treatments. We used single-cell RNA-seq to examine novel cellular heterogeneity and regular networks in nine MM patients stratified by R-ISS. Plasma cells were clustered into nine groups (P1–P9) based on gene expression, where P1–P5 were almost enriched in stage III.PDIA6 was significantly upregulated in P3 and LETM1 was enriched in P1, and they were validated to be upregulated in the MM cell line and in 22 other patients’ myeloma cells. Furthermore, in progression, PDIA6 was newly found and verified to be activated by UQCRB through oxidative phosphorylation, while LETM1 was activated by STAT1 via the C-type lectin receptor-signalling pathway. Finally, a subcluster of monocytes was exclusively found in stage III specifically expressed chemokines modulated by ATF3. A few ligand-receptor pairs (CCL3/CCL5/CCL3L1-CCR1) were obviously active in monocyte-plasma communications in stage III. Herein, this study identified novel molecules, networks and crosstalk pairs in different R-ISS stages of MM, providing significant insight for its prognosis and treatment.

     

A statistical framework for multiparameter analysis at the single-cell level

Phenotypic characterization of individual cells provides crucial insights into intercellular heterogeneity and enables access to information that is unavailable from ensemble averaged, bulk cell analyses. Single-cell studies have attracted significant interest in recent years and spurred the development of a variety of commercially available and research-grade technologies. To quantify cell-to-cell variability of cell populations, we have developed an experimental platform for real-time measurements of oxygen consumption (OC) kinetics at the single-cell level. Unique challenges inherent to these single-cell measurements arise, and no existing data analysis methodology is available to address them. Here we present a data processing and analysis method that addresses challenges encountered with this unique type of data in order to extract biologically relevant information. We applied the method to analyze OC profiles obtained with single cells of two different cell lines derived from metaplastic and dysplastic human Barrett's esophageal epithelium. In terms of method development, three main challenges were considered for this heterogeneous dynamic system: (i) high levels of noise, (ii) the lack of a priori knowledge of single-cell dynamics, and (iii) the role of intercellular variability within and across cell types. Several strategies and solutions to address each of these three challenges are presented. The features such as slopes, intercepts, breakpoint or change-point were extracted for every OC profile and compared across individual cells and cell types. The results demonstrated that the extracted features facilitated exposition of subtle differences between individual cells and their responses to cell-cell interactions. With minor modifications, this method can be used to process and analyze data from other acquisition and experimental modalities at the single-cell level, providing a valuable statistical framework for single-cell analysis.     

Structure of human lactoferrin: crystallographic structure analysis and refinement at 2.8 A resolution

The structure of human lactoferrin has been refined crystallographically at 2.8 A (1 A = 0.1 nm) resolution using restrained least squares methods. The starting model was derived from a 3.2 A map phased by multiple isomorphous replacement with solvent flattening. Rebuilding during refinement made extensive use of these experimental phases, in combination with phases calculated from the partial model. The present model, which includes 681 of the 691 amino acid residues, two Fe3+, and two CO3(2-), gives an R factor of 0.206 for 17,266 observed reflections between 10 and 2.8 A resolution, with a root-mean-square deviation from standard bond lengths of 0.03 A. As a result of the refinement, two single-residue insertions and one 13-residue deletion have been made in the amino acid sequence, and details of the secondary structure and tertiary interactions have been clarified. The two lobes of the molecule, representing the N-terminal and C-terminal halves, have very similar folding, with a root-mean-square deviation, after superposition, of 1.32 A for 285 out of 330 C alpha atoms; the only major differences being in surface loops. Each lobe is subdivided into two dissimilar alpha/beta domains, one based on a six-stranded mixed beta-sheet, the other on a five-stranded mixed beta-sheet, with the iron site in the interdomain cleft. The two iron sites appear identical at the present resolution. Each iron atom is coordinated to four protein ligands, 2 Tyr, 1 Asp, 1 His, and the specific Co3(2-), which appears to bind to iron in a bidentate mode. The anion occupies a pocket between the iron and two positively charged groups on the protein, an arginine side-chain and the N terminus of helix 5, and may serve to neutralize this positive charge prior to iron binding. A large internal cavity, beyond the Arg side-chain, may account for the binding of larger anions as substitutes for CO3(2-). Residues on the other side of the iron site, near the interdomain crossover strands could provide secondary anion binding sites, and may explain the greater acid-stability of iron binding by lactoferrin, compared with serum transferrin. Interdomain and interlobe interactions, the roles of charged side-chains, heavy-atom binding sites, and the construction of the metal site in relation to the binding of different metals are also discussed.     

Comprehensive analysis of the functional TCR repertoire at the single-cell level

A Vβ TCR repertoire is analyzed for understanding the T-cell population in the immune response. However, the TCR repertoire of the Vα-Vβ pair is difficult to analyze because no suitable analytical method is available. Here, we have applied the single-cell 5′-RACE method for amplifying TCR cDNAs from single T-cells and analyzed the repertoire of Vα-Vβ pairs in human T-cells that responded to a superantigen, SEB. We found that the TCR Vβ profile of the SEB-stimulated CD4⁺ T-cells was in accordance with the previous reports, that the TCR Vα profile also exhibited a prominent difference, and that the TCR Vα-Vβ pairs of the SEB-responding T-cells were promiscuous. We have also found a significant dual TCRα expression in single T-cells. This is the first report of a comprehensive analysis of the functional repertoire of Vα-Vβ pairs at the single T-cell level. This novel method may contribute to TCR-based immunotherapeutics.