17 research outputs found
NMR and Computation Reveal a Pressure-Sensitive Folded Conformation of Trp-Cage
Beyond
defining the structure and stability of folded states of
proteins, primary amino acid sequences determine all of the features
of their conformational landscapes. Characterizing how sequence modulates
the population of protein excited states or folding pathways requires
atomic level detailed structural and energetic information. Such insight
is essential for improving protein design strategies, as well as for
interpreting protein evolution. Here, high pressure NMR and molecular
dynamics simulations were combined to probe the conformational landscape
of a small model protein, the tryptophan cage variant, Tc5b. Pressure
effects on protein conformation are based on volume differences between
states, providing a subtle continuous variable for perturbing conformations.
2D proton TOCSY spectra of Tc5b were acquired as a function of pressure
at different temperature, pH, and urea concentration. In contrast
to urea and pH which lead to unfolding of Tc5b, pressure resulted
in modulation of the structures that are populated within the folded
state basin. The results of molecular dynamics simulations on Tc5b
displayed remarkable agreement with the NMR data. Principal component
analysis identified two structural subensembles in the folded state
basin, one of which was strongly destabilized by pressure. The pressure-dependent
structural perturbations observed by NMR coincided precisely with
the changes in secondary structure associated with the shifting populations
in the folded state basin observed in the simulations. These results
highlight the deep structural insight afforded by pressure perturbation
in conjunction with high resolution experimental and advanced computational
tools
High Pressure ZZ-Exchange NMR Reveals Key Features of Protein Folding Transition States
Understanding protein
folding mechanisms and their sequence dependence
requires the determination of residue-specific apparent kinetic rate
constants for the folding and unfolding reactions. Conventional two-dimensional
NMR, such as HSQC experiments, can provide residue-specific information
for proteins. However, folding is generally too fast for such experiments.
ZZ-exchange NMR spectroscopy allows determination of folding and unfolding
rates on much faster time scales, yet even this regime is not fast
enough for many protein folding reactions. The application of high
hydrostatic pressure slows folding by orders of magnitude due to positive
activation volumes for the folding reaction. We combined high pressure
perturbation with ZZ-exchange spectroscopy on two autonomously folding
protein domains derived from the ribosomal protein, L9. We obtained
residue-specific apparent rates at 2500 bar for the N-terminal domain
of L9 (NTL9), and rates at atmospheric pressure for a mutant of the
C-terminal domain (CTL9) from pressure dependent ZZ-exchange measurements.
Our results revealed that NTL9 folding is almost perfectly two-state,
while small deviations from two-state behavior were observed for CTL9.
Both domains exhibited large positive activation volumes for folding.
The volumetric properties of these domains reveal that their transition
states contain most of the internal solvent excluded voids that are
found in the hydrophobic cores of the respective native states. These
results demonstrate that by coupling it with high pressure, ZZ-exchange
can be extended to investigate a large number of protein conformational
transitions
Evolutionarily Conserved Pattern of Interactions in a Protein Revealed by Local Thermal Expansion Properties
The way in which the network of intramolecular
interactions determines
the cooperative folding and conformational dynamics of a protein remains
poorly understood. High-pressure NMR spectroscopy is uniquely suited
to examine this problem because it combines the site-specific resolution
of the NMR experiments with the local character of pressure perturbations.
Here we report on the temperature dependence of the site-specific
volumetric properties of various forms of staphylococcal nuclease
(SNase), including three variants with engineered internal cavities,
as measured with high-pressure NMR spectroscopy. The strong temperature
dependence of pressure-induced unfolding arises from poorly understood
differences in thermal expansion between the folded and unfolded states.
A significant inverse correlation was observed between the global
thermal expansion of the folded proteins and the number of strong
intramolecular hydrogen bonds, as determined by the temperature coefficient
of the backbone amide chemical shifts. Comparison of the identity
of these strong H-bonds with the co-evolution of pairs of residues
in the SNase protein family suggests that the architecture of the
interactions detected in the NMR experiments could be linked to a
functional aspect of the protein. Moreover, the temperature dependence
of the residue-specific volume changes of unfolding yielded residue-specific
differences in expansivity and revealed how mutations impact intramolecular
interaction patterns. These results show that intramolecular interactions
in the folded states of proteins impose constraints against thermal
expansion and that, hence, knowledge of site-specific thermal expansivity
offers insight into the patterns of strong intramolecular interactions
and other local determinants of protein stability, cooperativity,
and potentially also of function
Effect of Internal Cavities on Folding Rates and Routes Revealed by Real-Time Pressure-Jump NMR Spectroscopy
The time required to fold proteins
usually increases significantly
under conditions of high pressure. Taking advantage of this general
property of proteins, we combined P-jump experiments with NMR spectroscopy
to examine in detail the folding reaction of staphylococcal nuclease
(SNase) and of some of its cavity-containing variants. The nearly
100 observables that could be measured simultaneously collectively
describe the kinetics of folding as a function of pressure and denaturant
concentration with exquisite site-specific resolution. SNase variants
with cavities in the central core of the protein exhibit a highly
heterogeneous transition-state ensemble (TSE) with a smaller solvent-excluded
void volume than the TSE of the parent SNase. This heterogeneous TSE
experiences Hammond behavior, becoming more native-like (higher molar
volume) with increasing denaturant concentration. In contrast, the
TSE of the L125A variant, which has a cavity at the secondary core,
is only slightly different from that of the parent SNase. Because
pressure acts mainly to eliminate solvent-excluded voids, which are
heterogeneously distributed throughout structures, it perturbs the
protein more selectively than chemical denaturants, thereby facilitating
the characterization of intermediates and the consequences of packing
on folding mechanisms. Besides demonstrating how internal cavities
can affect the routes and rates of folding of a protein, this study
illustrates how the combination of P-jump and NMR spectroscopy can
yield detailed mechanistic insight into protein folding reactions
with exquisite site-specific temporal information
Recruitment, Assembly, and Molecular Architecture of the SpoIIIE DNA Pump Revealed by Superresolution Microscopy
<div><p></p><p>ATP-fuelled molecular motors are responsible for rapid and specific transfer of double-stranded DNA during several fundamental processes, such as cell division, sporulation, bacterial conjugation, and viral DNA transport. A dramatic example of intercompartmental DNA transfer occurs during sporulation in <i>Bacillus subtilis</i>, in which two-thirds of a chromosome is transported across a division septum by the SpoIIIE ATPase. Here, we use photo-activated localization microscopy, structured illumination microscopy, and fluorescence fluctuation microscopy to investigate the mechanism of recruitment and assembly of the SpoIIIE pump and the molecular architecture of the DNA translocation complex. We find that SpoIIIE assembles into âŒ45 nm complexes that are recruited to nascent sites of septation, and are subsequently escorted by the constriction machinery to the center of sporulation and division septa. SpoIIIE complexes contain 47±20 SpoIIIE molecules, a majority of which are assembled into hexamers. Finally, we show that directional DNA translocation leads to the establishment of a compartment-specific, asymmetric complex that exports DNA. Our data are inconsistent with the notion that SpoIIIE forms paired DNA conducting channels across fused membranes. Rather, our results support a model in which DNA translocation occurs through an aqueous DNA-conducting pore that could be structurally maintained by the divisional machinery, with SpoIIIE acting as a checkpoint preventing membrane fusion until completion of chromosome segregation. Our findings and proposed mechanism, and our unique combination of innovating methodologies, are relevant to the understanding of bacterial cell division, and may illuminate the mechanisms of other complex machineries involved in DNA conjugation and protein transport across membranes.</p></div
(A) Distribution of the ADC of CD9, CD55, and CD46 treated or not treated with MÎČCD (âŒ50% of the membrane Chl was removed)
CD55 is a raft marker, and CD46 is excluded from rafts and TEAs. Mean values of ADC of all the molecules are available in . (B) Comparison of trajectories (thin white lines) in living PC3 cells before (left) or after (right) MÎČCD treatment. Bars, 7.5 ÎŒm.<p><b>Copyright information:</b></p><p>Taken from "Single-molecule analysis of CD9 dynamics and partitioning reveals multiple modes of interaction in the tetraspanin web"</p><p></p><p>The Journal of Cell Biology 2008;182(4):765-776.</p><p>Published online 25 Aug 2008</p><p>PMCID:PMC2518714.</p><p></p
(A) ADC distribution and mean value (±SD) of CD55 molecules labeled with Atto647N-conjugated mAb 12A12
D is the mean value of the ADC calculated from a linear fit of the MSD-Ï plot, and the dashed line delineates two different populations corresponding to pure confined trajectories (lower ADC) or mixed and Brownian trajectories. (B) Histograms (open boxes) representing the percentage of each CD55 diffusion mode as compared with the total number of trajectories. The gray part corresponds to the proportion of trajectories associated with TEAs (identified with the ensemble membrane labeling) for each diffusion mode (B, Brownian; C, confined; M, mixed). Compare with . (C) Trajectories of a single CD55 molecule. The inset is a magnification of the transient confinement area delineated by the boxed area.<p><b>Copyright information:</b></p><p>Taken from "Single-molecule analysis of CD9 dynamics and partitioning reveals multiple modes of interaction in the tetraspanin web"</p><p></p><p>The Journal of Cell Biology 2008;182(4):765-776.</p><p>Published online 25 Aug 2008</p><p>PMCID:PMC2518714.</p><p></p
SpoIIIE localization at superresolution.
<p>(a) SpoIIIE is observed during all stages of the cell cycle. Individual cells were recognized and classified as described in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001557#pbio-1001557-g001" target="_blank">Figure 1f</a>. Pixel size was 110 nm. From each 55 ms image, we automatically determined the localization of each single molecule in the image by using MTT <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001557#pbio.1001557-Serge1" target="_blank">[57]</a>. Each of these localizations is called a single-molecule event. In our pointilist representation, each single-molecule event is represented by a single green dot, whereas membrane stain is shown in white (see SM10 in Methods S1 for more details). Cells without septum were classified as stage 1 (vegetative/pre-divisional, left panel). Cells having a symmetric division septum were classified as stage 2 (division, middle panel), whereas those showing an asymmetric septum (at 1/5<sup>th</sup> or 4/5<sup>th</sup> of the total cell length) were classified as stage 3 (sporulating, right panel). (b) SpoIIIE clusters were automatically detected and classified depending on their size and composition. FWHM, full width at half maximum. (c) Analysis of the cluster size distribution versus the number of single-molecule events shows two distinct cluster types: PALM-limited clusters (red dots) have a size equal or smaller (âŒ45 nm FWHM) than the resolution of PALM in our conditions and contain a large number of events (>1,000), whilst dynamic clusters (orange dots) are large (>100 nm FWHM) and contain fewer events (<1,000). (d) The size of PALM-limited clusters is independent of cell cycle stage and the most typical size is âŒ45 nm FWHM. (e) PALM-limited cluster sizes as a function of imaging time (total time used to image each single cluster) show that these clusters are extremely stable.</p
SpoIIIE clusters assemble asymmetrically in sporulation septa.
<p>(a) PALM imaging of SpoIIIE (green dots) in sporulating cells overlaid with an epi-fluorescence image of the membrane (white, top panel). Intensity profiles across the direction perpendicular to the septum were used to determine the precise localization of the septal plane, which was used to calculate the distance of each single-molecule detection to the center of the septum and to automatically partition the cell into forespore (yellow) and mother cell (red). Using this partition, individual PALM-limited clusters and single-molecule events were classified as belonging to the mother cell or the forespore compartments. (b) Histogram of PALM-limited cluster localizations with respect to the center of the septum (red columns) in sporulating cells with flat septa and undergoing DNA translocation (<i>N</i>â=â43). Black dotted line indicates the position of the septum. A Gaussian distribution was fitted to the data (blue solid line). SpoIIIE PALM-limited clusters preferentially localize on the mother cell side of the sporulation septum. (c) Histogram of single-molecule localizations in PALM-limited clusters (<i>N</i>â=â43) in sporulating cells undergoing DNA translocation, and Gaussian fit (blue dotted line). In sporulating cells, the distribution of SpoIIIE with respect to the septum is asymmetric and biased towards the direction of the mother cell. (d) Histogram of localizations of single molecules in PALM-limited clusters of dividing cells (<i>N</i>â=â71) and Gaussian fit (blue dashed line). During division, the distribution of SpoIIIE with respect to the septum is symmetric and unbiased. (e) Distance of SpoIIIE PALM-limited clusters to the center of asymmetric septa versus the amount of translocated DNA. Open blue circles represent individual distance values for individual clusters, and black squares the average distance for all clusters detected at each particular percentage of DNA translocated. The relative distance increases linearly with the amount of DNA in the forespore until âŒ45% of DNA translocated, and thereon remains constant at âŒ50 nm. Solid black line is a guide to the eye. (f) The size (FWHM) of individual PALM-limited clusters in the directions parallel or perpendicular to the asymmetric septa were calculated and plotted against each other to evaluate cluster symmetry (squares). The overwhelming majority of clusters are symmetric (green squares) with only a small minority being longer in the direction parallel to the septum (black squares). The dotted line is a guide to the eye.</p
(A) Immunoprecipitation experiments in WT PC3 cells or in cells overexpressing CD9 (PC3/CD9) or a nonpalmitoylated form of CD9 (PC3/CD9)
Biotin-labeled cells were lysed in Brij97 and incubated with anti-CD9, anti-CD81, or anti-α5 antibodies (the latter is used as a negative control). Immunoprecipitated proteins were detected using peroxidase-coupled streptavidin. (B) Immunofluorescence images of PC3/CD9 living cell basal membrane by TIRF microscopy at 37°C. Cells were incubated with the anti-CD9 Cy3B-conjugated antibody SYB-1 (middle; green in the merge image) and with various antibodies labeled with Atto647N (left; red in the merge images) and raised against (top to bottom) CD81, CD9P-1, the α5 chain of integrin, CD55, or CD46. Bars, 10 Όm.<p><b>Copyright information:</b></p><p>Taken from "Single-molecule analysis of CD9 dynamics and partitioning reveals multiple modes of interaction in the tetraspanin web"</p><p></p><p>The Journal of Cell Biology 2008;182(4):765-776.</p><p>Published online 25 Aug 2008</p><p>PMCID:PMC2518714.</p><p></p