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Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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Accessibility of the Shine-Dalgarno sequence dictates N-terminal codon bias in E. coli

Despite considerable efforts, no physical mechanism has been shown to explain N-terminal codon bias in prokaryotic genomes. Using a systematic study of synonymous substitutions in two endogenous E. coli genes, we show that interactions between the coding region and the upstream Shine-Dalgarno (SD) sequence modulate the efficiency of translation initiation, affecting both intracellular mRNA and protein levels due to the inherent coupling of transcription and translation in E. coli. We further demonstrate that far-downstream mutations can also modulate mRNA levels by occluding the SD sequence through the formation of non-equilibrium secondary structures. By contrast, a non-endogenous RNA polymerase that decouples transcription and translation largely alleviates the effects of synonymous substitutions on mRNA levels. Finally, a complementary statistical analysis of the E. coli genome specifically implicates avoidance of intra-molecular base-pairing with the SD sequence. Our results provide general physical insights into the coding-level features that optimize protein expression in prokaryotes.

biophysics

Evaluation of MRI sequences for quantitative T1 brain mapping

T1 mapping constitutes a quantitative MRI technique finding significant application in brain imaging. It allows improved evaluation of contrast uptake, blood perfusion, volume, and provides more specific biomarkers of disease progression compared to conventional T1-weighted images. While there are many techniques for T1-mapping, there is also a wide range of reported T1-values in tissues, raising the issue of protocols reproducibility and standardization. The gold standard for obtaining T1-maps is based on acquiring IR-SE sequence. Widely used alternative sequences are IR-SE-EPI, VFA (DESPOT), DESPOT-HIFI and MP2RAGE that speed up scanning and fitting procedures. A custom MRI phantom was used to assess the reproducibility and accuracy of the different methods. All scans were performed using a 3T Siemens Prisma scanner. The acquired data were processed using two different codes. The main difference was observed for VFA (DESPOT) which grossly overestimated T1 relaxation time by 214 ms [CI: 126 270 ms] compared to the IR-SE sequence. MP2RAGE and DESPOT-HIFI sequences gave slightly shorter T1 than IR-SE ([~]20 to 30ms) and can be considered as alternative and time-efficient methods for acquiring accurate T1 maps of the human brain, while IR-SE-EPI gave identical results, at a cost of a lower image quality.

biophysics

Chromatin Organization by an Interplay of Loop Extrusion and Compartmental Segregation

Mammalian chromatin is organized on length scales ranging from individual nucleosomes to chromosomal territories. At intermediate scales two dominant features emerge in interphase: (i) alternating regions (<5Mb) of active and inactive chromatin that spatially segregate into different compartments, and (ii) domains (<1Mb), i.e. regions that preferentially interact internally, which are also termed topologically associating domains (TADs) and are central to gene regulation. There is growing evidence that TADs are formed by active extrusion of chromatin loops by cohesin, whereas compartments are established by a phase separation process according to local chromatin states. Here we use polymer simulations to examine how the two processes, loop extrusion and compartmental segregation, work collectively and potentially interfere in shaping global chromosome organization. Our integrated model faithfully reproduces Hi-C data from previously puzzling experimental observations, where targeting of the TAD-forming machinery led to changes in compartmentalization. Specifically, depletion of chromatin-associated cohesin reduced TADs and revealed hidden, finer compartments, while increased processivity of cohesin led to stronger TADs and reduced compartmentalization, and depletion of the TAD boundary protein, CTCF, weakened TADs while leaving compartments unaffected. We reveal that these experimental perturbations are special cases of a general polymer phenomenon of active mixing by loop extrusion. This also predicts that interference with chromatin epigenetic states or nuclear volume would affect compartments but not TADs. Our results suggest that chromatin organization on the megabase scale emerges from competition of non-equilibrium active loop extrusion and epigenetically defined compartment structure.

biophysics

Nucleation of multiple buckled structures in intertwined DNA double helices

We study the statistical-mechanical properties of intertwined double-helical DNAs (DNA braids). In magnetic tweezers experiments we find that torsionally-stressed stretched braids supercoil via an abrupt buckling transition, which is associated with nucleation of a braid end loop, and that the buckled braid is characterized by proliferation of multiple domains. Differences between the mechanics of DNA braids and supercoiled single DNAs can be understood as an effect of increased bulkiness in the structure of the former. The experimental results are in accord with the predictions of a previously-described statistical-mechanical model.

biophysics

A simple and powerful analysis of lateral subdiffusion using single particle tracking

In biological membranes many factors such as cytoskeleton, lipid composition, crowding and molecular interactions deviate lateral diffusion from the expected random walks. These factors have different effects on diffusion but act simultaneously so the observed diffusion is a complex mixture of diffusive behaviors (directed, >Brownian, anomalous or confined). Therefore commonly used approaches to quantify diffusion based on averaging of the displacements, such as the mean square displacement, are not adapted to the analysis of this heterogeneity. We introduce a new parameter, the packing coefficient Pc, which gives an estimate of the degree of free movement that a molecule displays in a period of time independently of its global diffusivity. Applying this approach to two different situations (diffusion of a lipid probe and trapping of receptors at synapses), we show that Pc detected and localized temporary changes of diffusive behavior both in time and in space. More importantly, it allowed the detection of periods with very high confinement (~immobility), their frequency and duration, and thus it can be used to calculate the effective kon and koff of scaffolding interactions such those that immobilize receptors at synapses.

biophysics

Mechanics and buckling of biopolymeric shells and cell nuclei

We study a Brownian dynamics simulation model of a biopolymeric shell deformed by axial forces exerted at opposing poles. The model exhibits two distinct linear force-extension regimes, with the response to small tensions governed by linear elasticity and the response to large tensions governed by an effective spring constant that scales with radius as R-0.25. When extended beyond the initial linear elastic regime, the shell undergoes a hysteretic, temperature-dependent buckling transition. We experimentally observe this buckling transition by stretching and imaging the lamina of isolated cell nuclei. Furthermore, the interior contents of the shell can alter mechanical response and buckling, which we show by simulating a model for the nucleus that quantitatively agrees with our micromanipulation experiments stretching individual nuclei.

biophysics

Lipid-protein interplay in dimerization of the juxtamembrane domains of epidermal growth factor receptor

Transmembrane (TM) helix and juxtamembrane (JM) domains (TM-JM) bridge the extracellular and intracellular domains of single-pass membrane proteins, including epidermal growth factor receptor (EGFR). TM-JM dimerization plays a crucial role in regulation of EGFR kinase activity at the cytoplasmic side. Although the interaction of JM with membrane lipids is thought to be important to turn on EGF signaling and phosphorylation of Thr654 on JM leads to desensitization, the underlying kinetic mechanisms remain unclear. Especially, how Thr654 phosphorylation regulates EGFR activity is largely unknown. Here, combining single-pair FRET imaging and nanodisc techniques, we showed that phosphatidylinositol 4,5-bis phosphate (PIP2) facilitated JM dimerization effectively. We also found that Thr654 phosphorylation dissociated JM dimers in the membranes containing acidic lipids, suggesting that Thr654 phosphorylation electrostatically prevented the interaction with basic residues in JM and acidic lipids. Based on the single-molecule experiment, we clarified the kinetic pathways of monomer (inactive state) - dimer (active state) transition of JM domains and alteration in the pathways depending on the membrane lipid species and Thr654 phosphorylation.

biophysics

NDC80 clustering modulates microtubule dynamics under force

Multivalency, the presence of multiple interfaces for intermolecular interactions, underlies many biological phenomena, including receptor clustering and cytosolic condensation. One of its ultimate purposes is to increase binding affinity, but systematic analyses of its role in complex biological assemblies have been rare. Presence of multiple copies of the microtubule-binding NDC80 complex is an evolutionary conserved but poorly characterized feature of kinetochores, the points of attachment of chromosomes to spindle microtubules. To address its significance, we engineered modules allowing incremental addition of NDC80 complexes. The modules residence time on microtubules increased exponentially with the number of NDC80 complexes. While modules containing a single NDC80 complex were unable to track depolymerizing microtubules, modules with two or more complexes tracked depolymerizing microtubules and stiffened the connection with microtubules under force. Cargo-conjugated modules of divalent or trivalent NDC80 stalled and rescued microtubule depolymerization in a force-dependent manner. Thus, multivalent microtubule binding through NDC80 clustering is crucial for force-induced modulation of kinetochore-microtubule attachments.

biophysics

Getting in shape and swimming: the role of cortical forces and membrane heterogeneity in eukaryotic cells

Recent research has shown that motile cells can adapt their mode of propulsion to the mechanical properties of the environment in which they find themselves - crawling in some environments while swimming in others. The latter can involve movement by blebbing or other cyclic shape changes, and both highly-simplified and more realistic models of these modes have been studied previously. Herein we study swimming that is driven by membrane tension gradients that arise from flows in the actin cortex underlying the membrane, and does not involve imposed cyclic shape changes. Such gradients can lead to a number of different characteristic cell shapes, and our first objective is to understand how different distributions of membrane tension influence the shape of cells in a quiescent fluid. We then analyze the effects of spatial variation in other membrane properties, and how they interact with tension gradients to determine the shape. We also study the effect of fluid-cell interactions and show how tension leads to cell movement, how the balance between tension gradients and a variable bending modulus determine the shape and direction of movement, and how the efficiency of movement depends on the properties of the fluid and the distribution of tension and bending modulus in the membrane.\n\nDedicated to the memory of Karl P. Hadeler, a pioneer in the field of Mathematical Biology and a friend and mentor to many.

biophysics

Introducing prescribed biases in out of equilibrium Markov models

Markov models are often used in modeling complex out of equilibrium chemical and biochemical systems. However, many times their predictions do not agree with experiments. We need a systematic framework to update Markov models to make them consistent with constraints that are derived from experiments. Here, we present a framework based on the principle of maximum path entropy to update Markov models using stationary state and dynamical trajectory-based constraints. We illustrate the framework using a biochemical model network of growth factors-based signaling. We also show how to find the closest detailed balanced Markov model to a given Markov model. Further applications and generalizations are discussed.

biophysics

Molecular structure of human KATP in complex with ATP and ADP

In many excitable cells KATP channels respond to intracellular adenosine nucleotides: ATP inhibits while ADP activates. We present two structures of the human pancreatic KATP channel, containing the ABC transporter SUR1 and the inward-rectifier K+ channel Kir6.2, in the presence of Mg2+ and nucleotides. These structures, referred to as quatrefoil and propeller forms, were determined by single-particle cryo-EM at 3.9 [A] and 5.6 [A], respectively. In both forms ATP occupies the inhibitory site in Kir6.2. The nucleotide-binding domains of SUR1 are dimerized with Mg2+-ATP in the degenerate site and Mg2+-ADP in the consensus site. A lasso extension forms an interface between SUR1 and Kir6.2 adjacent to the ATP site in the propeller form, and is disrupted in the quatrefoil form. These structures support the role of SUR1 as an ADP sensor and highlight the lasso extension as a key regulatory element in ADPs ability to override ATP inhibition.

biophysics

Pausing controls branching between productive and non-productive pathways during initial transcription

Transcription in bacteria is controlled by multiple molecular mechanisms that precisely regulate gene expression. Recently, initial RNA synthesis by the bacterial RNA polymerase (RNAP) has been shown to be interrupted by pauses; however, the pausing determinants and the relationship of pausing with productive and abortive RNA synthesis remain poorly understood. Here, we employed single-molecule FRET and biochemical analysis to disentangle the pausing-related pathways of bacterial initial transcription. We present further evidence that region {sigma}3.2 constitutes a barrier after the initial transcribing complex synthesizes a 6-nt RNA (ITC6), halting transcription. We also show that the paused ITC6 state acts as a checkpoint that directs RNAP, in an NTP-dependent manner, to one of three competing pathways: productive transcription, abortive RNA release, or a new unscrunching/scrunching pathway that blocks transcription initiation. Our results show that abortive RNA release and DNA unscrunching are not as tightly coupled as previously thought.

biophysics

Sub-Confluent Culture of Mouse Embryonic Stem Cell-derived Ventricular Cardiomyocytes On & In Gels - Enhancement of Maturation Phenotype Relative to Tissue Culture Polystyrene via Enabling of Auxotonic Contraction

Cardiac myocytes (CMs) obtained by differentiating embryonic stem cells (ES-CMs) have an immature phenotype and promoting the maturation of such PSC-derived cardiomyocytes remains a major limitation in the development of stem cell models of human cardiovascular disease. We cultured murine ES-CMs in a collagen gel (3D) at a low density, or on collagen-coated polystyrene (2D) and found that 3D culture results in dramatic improvement of the maturation rate and end-state gene expression of ES-CMs. There are two main differences between CMs cultured in 3D versus 2D; in 3D the mechanical stiffness of the environment is lower, enabling auxotonic instead of isometric contraction; and, in 3D the amount of cell-cell interaction is higher. To isolate the contributions, we first cultured ES-CMs on gels (2D substrates) that are softer than tissue culture plastic, enabling auxotonic contraction, while controlling for dimensionality and cell interaction. This indeed promoted a mature gene expression profile, while also enabling the maintenance of sarcomeres. Next, we determined that increased cell-cell interaction inhibits the mature gene expression of ES-CMs. Thus, auxotonic contraction is the likely mechanism for improved gene expression in sub-confluent 3D culture. However, 2D auxotonic contraction may offer a suitable compromise between obtaining enhanced gene expression and morphology. After 6 weeks of culture on gels, via Di-8-ANEPPs and WGA staining we also detected CMs forming a t-tubule network. Collectively these results demonstrate that 3D and 2D cultures that enable auxotonic contraction enhance aspects of the maturation of ES-CMs.

biophysics

Revealing intricate acto-myosin dynamics at a membrane surface using interferometric scattering microscopy

The plasma membrane and the underlying cytoskeletal cortex constitute active platforms for a variety of cellular processes. Recent work has shown that the remodeling acto-myosin network modifies local membrane organization, but the molecular details are only partly understood due to difficulties with experimentally accessing the relevant time and length scales. Here, we use interferometric scattering (iSCAT) microscopy to investigate a minimal acto-myosin network linked to a supported lipid bilayer membrane. Using the magnitude of the interferometric contrast, which is proportional to molecular mass, and fast acquisition rates, we detect, and image individual membrane attached actin filaments diffusing within the acto-myosin network and follow individual myosin II filament dynamics. We quantify myosin II filament dwell times and processivity as a function of ATP concentration, providing evidence for the predicted ensemble behavior of myosin head domains. Our results show how decreasing ATP concentrations lead to both increasing dwell times of individual myosin II filaments and a global change from a remodeling to a contractile state of the acto-myosin network. Statement of SignificanceHere, we show that interferometric scattering microscopy in combination with single particle tracking enables label-free, high contrast imaging of filament dynamics on surfaces, while distinguishing different species based on their mass. These results significantly broaden the available toolkit, and associated capabilities of researchers studying dynamics of biological machines at interfaces.

biophysics

A spontaneously blinking fluorescent protein for simple single laser super-resolution live cell imaging

Super-resolution imaging techniques based on single molecule localization microscopy (SMLM) broke the diffraction limit of optical microscopy in living samples with the aid of photoswitchable fluorescent probes and intricate microscopy systems. Here, we developed a fluorescent protein, SPOON, which can be switched-off by excitation light illumination and switched-on by thermally-induced dehydration resulting in an apparent spontaneous blinking behavior. This unique property of SPOON provides a simple SMLM-based super-resolution imaging platform which requires only a single 488 nm laser.

biophysics

Continuous interdomain orientation distributions reveal components of binding thermodynamics

1The flexibility of biological macromolecules is an important structural determinant of function. Unfortunately, the correlations between different motional modes are poorly captured by discrete ensemble representations. Here, we present new ways to both represent and visualize correlated interdomain motions. Interdomain motions are determined directly from residual dipolar couplings (RDCs), represented as a continuous conformational distribution, and visualized using the disk-on-sphere (DoS) representation. Using the DoS representation, features of interdomain motions, including correlations, are intuitively visualized. The representation works especially well for multidomain systems with broad conformational distributions. This analysis also can be extended to multiple probability density modes, using a Bingham mixture model. We use this new paradigm to study the interdomain motions of staphylococcal protein A, which is a key virulence factor contributing to the pathogenicity of S. aureus. We capture the smooth transitions between important states and demonstrate the utility of continuous distribution functions for computing components of binding thermodynamics. Such insights allow the dissection the dynamic structural components of functionally important intermolecular interactions.

biophysics

Investigating low-velocity fluid flow in tumours using convection-MRI

Several distinct fluid flow phenemena occur in solid tumours, including intravascular blood flow and interstitial convection. To probe low-velocity flow in tumors resulting from raised interstitial fluid pressure, we have developed a novel magnetic resonance imaging (MRI) technique named convection-MRI. It uses a phase-contrast acquisition with a dual-inversion vascular nulling preparation to separate intra- and extra-vascular flow. Here, we report the results of experiments in flow phantoms, numerical simulations and tumor xenograft models to investigate the technical feasibility of convection-MRI. We report a good correlation between estimates of effective fluid pressure from convection-MRI with gold-standard, invasive measurements of interstitial fluid pressure in mouse models of human colorectal carcinoma and show that convection-MRI can provide insights into the growth and response to vascular-targeting therapy in colorectal cancers.

biophysics

How epigenome drives chromatin folding and dynamics, insights from efficient coarse-grained models of chromosomes

The 3D organization of chromosome is crucial for regulating gene expression and cell function. Many experimental and polymer modeling efforts are dedicated to deciphering the mechanistic principles behind chromosome folding. Chromosomes are long and densely packed - topologically constrained - polymers. The main challenge is therefore to develop adequate models and simulation methods to investigate properly the multi spatio-temporal scales of such macromolecules. Here, we discussed a generic strategy to develop efficient coarse-grained models for self-avoiding polymers on a lattice. Accounting accurately for the polymer entanglement length and the volumic density, we show that our simulation scheme not only captures the steady-state structural and dynamical properties of the system but also tracks the same dynamics at different coarse-graining. This strategy allows a strong power-law gain in numerical efficiency and offers a systematic way to define reliable coarse-grained null models for chromosomes and to go beyond the current limitations by studying long chromosomes during an extended time period with good statistics. We use our formalism to investigate in details the time evolution of the 3D organization of chromosome 3R (20 Mbp) in drosophila during one cell cycle (20 hours). We show that a combination of our coarse-graining strategy with a one-parameter block copolymer model integrating epigenomic-driven interactions quantitatively reproduce experimental data at the chromosome-scale and predict that chromatin motion is very dynamic during the cell cycle.

biophysics