K. Tanuj Sapra

The molecular architecture of lamins in somatic cells

The nuclear lamina is a fundamental constituent of metazoan nuclei. It is composed mainly of lamins, which are intermediate filament proteins that assemble into a filamentous meshwork, bridging the nuclear envelope and chromatin. Besides providing structural stability to the nucleus, the lamina is involved in many nuclear activities, including chromatin organization, transcription and replication. However, the structural organization of the nuclear lamina is poorly understood. Here we use cryo-electron tomography to obtain a detailed view of the organization of the lamin meshwork within the lamina. Data analysis of individual lamin filaments resolves a globular-decorated fibre appearance and shows that A- and B-type lamins assemble into tetrameric filaments of 3.5 nm thickness. Thus, lamins exhibit a structure that is remarkably different from the other canonical cytoskeletal elements. Our findings define the architecture of the nuclear lamin meshworks at molecular resolution, providing insights into their role in scaffolding the nuclear lamina.

Stabilizing Effect of Zn2+ in Native Bovine Rhodopsin

Single-molecule force spectroscopy (SMFS) is a powerful tool to dissect molecular interactions that govern the stability and function of proteins. We applied SMFS to understand the effect of Zn2+ on the molecular interactions underlying the structure of rhodopsin. Force-distance curves obtained from SMFS assays revealed the strength and location of molecular interactions that stabilize structural segments within this receptor. The inclusion of ZnCl2 in SMFS assay buffer increased the stability of most structural segments. This effect was not mimicked by CaCl2, CdCl2, or CoCl2 Thus, Zn2+. stabilizes the structure of rhodopsin in a specific manner.

Imaging and detecting molecular interactions of single transmembrane proteins.

Single-molecule atomic force microscopy (AFM) provides novel ways to characterize structure-function relationships of native membrane proteins. High-resolution AFM-topographs allow observing substructures of single membrane proteins at sub-nanometer resolution as well as their conformational changes, oligomeric state, molecular dynamics and assembly. Complementary to AFM imaging, single-molecule force spectroscopy experiments allow detecting molecular interactions established within and between membrane proteins. The sensitivity of this method makes it possible to detect the interactions that stabilize secondary structures such as transmembrane alpha-helices, polypeptide loops and segments within. Changes in temperature or protein-protein assembly do not change the position of stable structural segments, but influence their stability established by collective molecular interactions. Such changes alter the probability of proteins to choose a certain unfolding pathway. Recent examples have elucidated unfolding and refolding pathways of membrane proteins as well as their energy landscapes. We review current and future potential of these approaches to reveal insights into membrane protein structure, function, and unfolding as we recognize that they could help answering key questions in the molecular basis of certain neuro-pathological dysfunctions.

Mechanical Properties of Bovine Rhodopsin and Bacteriorhodopsin: Possible Roles in Folding and Function

Molecular interactions and mechanical properties that contribute to the stability and function of proteins are complex and of fundamental importance. In this study, we used single-molecule dynamic force spectroscopy (DFS) to explore the interactions and the unfolding energy landscape of bovine rhodopsin and bacteriorhodopsin. An analysis of the experimental data enabled the extraction of parameters that provided insights into the kinetic stability and mechanical properties of these membrane proteins. Individual structural segments of rhodopsin and bacteriorhodopsin have different properties. A core of rigid structural segments was observed in rhodopsin but not in bacteriorhodopsin. This core may reflect differences in mechanisms of protein folding between the two membrane proteins. The different structural rigidity of the two proteins may also reflect their adaptation to differing functions.

Point mutations in membrane proteins reshape energy landscape and populate different unfolding pathways.

Using single-molecule force spectroscopy, we investigated the effect of single point mutations on the energy landscape and unfolding pathways of the transmembrane protein bacteriorhodopsin. We show that the unfolding energy barriers in the energy landscape of the membrane protein followed a simple two-state behavior and represent a manifestation of many converging unfolding pathways. Although the unfolding pathways of wild-type and mutant bacteriorhodopsin did not change, indicating the presence of same ensemble of structural unfolding intermediates, the free energies of the rate-limiting transition states of the bacteriorhodopsin mutants decreased as the distance of those transition states to the folded intermediate states decreased. Thus, all mutants exhibited Hammond behavior and a change in the free energies of the intermediates along the unfolding reaction coordinate and, consequently, their relative occupancies. This is the first experimental proof showing that point mutations can reshape the free energy landscape of a membrane protein and force single proteins to populate certain unfolding pathways over others.

From Valleys to Ridges: Exploring the Dynamic Energy Landscape of Single Membrane Proteins

Membrane proteins are involved in essential biological processes such as energy conversion, signal transduction, solute transport and secretion. All biological processes, also those involving membrane proteins, are steered by molecular interactions. Molecular interactions guide the folding and stability of membrane proteins, determine their assembly, switch their functional states or mediate signal transduction. The sequential steps of molecular interactions driving these processes can be described by dynamic energy landscapes. The conceptual energy landscape allows to follow the complex reaction pathways of membrane proteins while its modifications describe why and how pathways are changed. Single-molecule force spectroscopy (SMFS) detects, quantifies and locates interactions within and between membrane proteins. SMFS helps to determine how these interactions change with temperature, point mutations, oligomerization and the functional states of membrane proteins. Applied in different modes, SMFS explores the co-existence and population of reaction pathways in the energy landscape of the protein and thus reveals detailed insights into local mechanisms, determining its structural and functional relationships. Here we review how SMFS extracts the defining parameters of an energy landscape such as the barrier position, reaction kinetics and roughness with high precision.

One β Hairpin after the Other: Exploring Mechanical Unfolding Pathways of the Transmembrane β‐Barrel Protein OmpG

Single-molecule force spectroscopy (SMFS) is a unique approach to study the mechanical unfolding of proteins. Such forced unfolding experiments yield insight into how interactions stabilize a protein and guide its unfolding pathways. Previous SMFS work has probed the mechanical stability of water-soluble proteins composed of a helices and b strands. A prominent example of unfolding of a b-barrel structure is that of the green fluorescent protein (GFP), the stability of which plays a major role for its application as a marker in modern fluorescence microscopy. In contrast to the variety of water-soluble proteins characterized, only a-helical membrane proteins have been probed by SMFS. It was found that a-helical membrane proteins unfold via many intermediates, which is different to the mostly two-state unfolding process of water-soluble proteins. Upon mechanically pulling the peptide end of a membrane protein, single and grouped a helices and polypeptide loops unfold in steps until the entire protein has unfolded. Whether the a helices and loops unfold individually or cooperatively to form an unfolding intermediate depends on the interactions established within the membrane protein and with the environment. Each of these unfolding events creates an unfolding intermediate with the sequence of intermediates describing the unfolding pathway taken. However, so far, b-barrel-forming membrane proteins have not been characterized by SMFS. For these reasons, we have characterized the interactions and unfolding of the b-barrel-forming outer-membrane protein OmpG from Escherichia coli by SMFS. The structure of OmpG comprises 14 b strands that form a transmembrane b-barrel pore. Six short loops (T1–T6) on the periplasmic side and seven longer loops (L1–L7) on the extracellular side connect the individual b strands. OmpG is gated by loop L6, which controls the flux of small molecules through the pore and the permeability of the bacterial outer membrane in a pH-dependent manner. Being able to withstand rather harsh environmental conditions, OmpG forms a robust pore, which makes it suitable for application as a biosensor. In our SMFS experiments, OmpG reconstituted in E. coli lipid membranes were first imaged by AFM. The AFM tip was then pushed onto the OmpG surface to facilitate the nonspecific attachment of the N or C terminus (Figure 1a).

A novel pattern recognition algorithm to classify membrane protein unfolding pathways with high-throughput single-molecule force spectroscopy

MOTIVATION Misfolding of membrane proteins plays an important role in many human diseases such as retinitis pigmentosa, hereditary deafness and diabetes insipidus. Little is known about membrane proteins as there are only very few high-resolution structures. Single-molecule force spectroscopy is a novel technique, which measures the force necessary to pull a protein out of a membrane. Such force curves contain valuable information on the protein structure, conformation, and inter- and intra-molecular forces. High-throughput force spectroscopy experiments generate hundreds of force curves including spurious ones and good curves, which correspond to different unfolding pathways. Manual analysis of these data is a bottleneck and source of inconsistent and subjective annotation. RESULTS We propose a novel algorithm for the identification of spurious curves and curves representing different unfolding pathways. Our algorithm proceeds in three stages: first, we reduce noise in the curves by applying dimension reduction; second, we align the curves with dynamic programming and compute pairwise distances and third, we cluster the curves based on these distances. We apply our method to a hand-curated dataset of 135 force curves of bacteriorhodopsin mutant P50A. Our algorithm achieves a success rate of 81% distinguishing spurious from good curves and a success rate of 76% classifying unfolding pathways. As a result, we discuss five different unfolding pathways of bacteriorhodopsin including three main unfolding events and several minor ones. Finally, we link folding barriers to the degree of conservation of residues. Overall, the algorithm tackles the force spectroscopy bottleneck and leads to more consistent and reproducible results paving the way for high-throughput analysis of structural features of membrane proteins.

Structural analysis of multicellular organisms with cryo-electron tomography

We developed a method for visualizing tissues from multicellular organisms using cryo-electron tomography. Our protocol involves vitrifying samples with high-pressure freezing, thinning them with cryo-FIB-SEM (focused-ion-beam scanning electron microscopy) and applying fiducial gold markers under cryogenic conditions to the lamellae post-milling. We applied this protocol to acquire tomograms of vitrified Caenorhabditis elegans embryos and worms, which showed the intracellular organization of selected tissues at particular developmental stages in otherwise intact specimens.

Construction and Manipulation of Functional Three-Dimensional Droplet Networks

Previously, we reported the manual assembly of lipid-coated aqueous droplets in oil to form two-dimensional (2D) networks in which the droplets are connected through single lipid bilayers. Here we assemble lipid-coated droplets in robust, freestanding 3D geometries: for example, a 14-droplet pyramidal assembly. The networks are designed, and each droplet is placed in a designated position. When protein pores are inserted in the bilayers between specific constituent droplets, electrical and chemical communication pathways are generated. We further describe an improved means to construct 3D droplet networks with defined organizations by the manipulation of aqueous droplets containing encapsulated magnetic beads. The droplets are maneuvered in a magnetic field to form simple construction modules, which are then used to form larger 2D and 3D structures including a 10-droplet pyramid. A methodology to construct freestanding, functional 3D droplet networks is an important step toward the programmed and automated manufacture of synthetic minimal tissues.