Keith Bonin

Background: In the final steps of the coagulation cascade, thrombin converts fibrinogen to fibrin, which polymerizes into a fibrin network that stabilizes blood clots. The concentration of these two proteins can affect network structure. The fibrin network is dissolved by plasmin, by cleaving fibrin peptide chains. In internal fibrinolysis, tissue plasminogen activator (tPA) activates endogenous plasminogen to plasmin, with activation efficiency much enhanced when tPA and plasminogen are bound to fibrin. The effect of varying fibrinogen and thrombin concentrations and the effect of the resulting varying network structure on fibrinolysis are convoluted, with contradictory trends reported in the literature. Objectives: Investigate how fibrinogen and thrombin concentration quantitatively affect fibrin network structure, and how fibrinogen, thrombin concentrations and the resulting, altered network structure affect fibrinolysis, at a given, rate-limiting tPA concentration. Methods: Fibrin clots were generated from diluted, platelet-poor plasma and purified PEAK 1 fibrinogen, at varying fibrinogen and exogenous thrombin concentrations. The effects of varying fibrinogen and thrombin concentrations on network structure were quantified using non-linear power-law equations derived from confocal images. Internal clot lysis time (CLT) was determined using turbidity-based assays as a function of fibrinogen and thrombin concentrations and network structure at fixed, rate-limiting tPA, and therefore fixed plasmin concentration. Results and Conclusions: Network structural features (fiber density, pore size) and CLT fit well to empirical equations of the form k([Fgn]^α× [Thr]^β). Generally, increasing fibrinogen resulted in higher fiber density and thicker fibers, whereas increasing thrombin resulted in higher fiber density and thinner fibers. Internal CLT showed strong dependence on fibrinogen, and negligible dependence on thrombin. This implies that fibrinogen is the main determinant of internal CLT in these systems, while thrombin and, thus, thrombin-dependent formation kinetics and network structure, per se, have a near-negligible effect.

Low-density lipoprotein (LDL) is a major atherogenic lipoprotein, yet its potential to directly modify the fibrin scaffold of blood clots is incompletely understood. Here, we investigated how LDL alters plasma fibrin network architecture and internal fibrinolysis across defined fibrinogen/thrombin conditions. Pooled normal human plasma was supplemented with LDL and clotted with controlled concentrations of fibrinogen and thrombin. Fibrin architecture was visualized by confocal microscopy and quantified by pore-size analysis; clot formation and lysis were monitored turbidimetrically in the presence of tissue plasminogen activator (tPA). Increasing LDL produced a pronounced reduction in fibrin-network pore size across the tested fibrinogen/thrombin conditions. The LDL dependence of pore diameter was well described by a power-law relationship, D_pore=(6.54 ± 0.11)[LDL]^(-0.12 ± 0.02) , (R² = 0.90), with a significant negative LDL exponent (p = 4 × 10⁻⁵). Increasing LDL also prolonged clot lysis time and altered turbidity kinetics. These findings extend epidemiologic and clinical associations between ApoB-containing lipoproteins and hypofibrinolytic clot phenotypes by demonstrating, in a controlled plasma system, that LDL itself can modify fibrin network architecture and fibrinolytic susceptibility. The results support a structure-function role for LDL within the fibrin biomaterial and motivate direct tests of LDL incorporation, protofibril packing, fibrinolytic-protein binding, and single-fiber mechanics.

Background. In the final steps of the coagulation cascade, thrombin converts fibrinogen to fibrin, which polymerizes into a fibrin network that stabilizes blood clots. The concentration of these two proteins can affect network structure. The fibrin network is dissolved by plasmin, by cleaving fibrin peptide chains. In internal fibrinolysis, tissue plasminogen activator (tPA) activates endogenous plasminogen to plasmin, with activation efficiency much enhanced when tPA and plasminogen are bound to fibrin. The effect of varying fibrinogen and thrombin concentrations and the effect of the resulting varying network structure on fibrinolysis are convoluted, with contradictory trends reported in the literature. Objectives. Investigate how fibrinogen and thrombin concentration quantitatively affect fibrin network structure, and how fibrinogen, thrombin concentrations and the resulting, altered network structure affect fibrinolysis, at a given, rate-limiting tPA concentration. Methods. Fibrin clots were generated from diluted, platelet-poor plasma and purified PEAK 1 fibrinogen, at varying fibrinogen and exogenous thrombin concentrations. The effects of varying fibrinogen and thrombin concentrations on network structure were quantified using non-linear power-law equations derived from confocal images. Internal clot lysis time (CLT) was determined using turbidity-based assays as a function of fibrinogen and thrombin concentrations and network structure at fixed, rate-limiting tPA, and therefore fixed plasmin concentration. Results and Conclusions. Network structural features (fiber density, pore size) and CLT fit well to empirical equations of the form k([Fgn]^α× [Thr]^β). Generally, increasing fibrinogen resulted in higher fiber density and thicker fibers, whereas increasing thrombin resulted in higher fiber density and thinner fibers. Internal CLT showed strong dependence on fibrinogen, and negligible dependence on thrombin. This implies that fibrinogen is the main determinant of internal CLT in these systems, while thrombin and, thus, thrombin-dependent formation kinetics and network structure, per se, have a near-negligible effect.

Background: Fibrinogen levels are associated with bleeding disorders and thrombotic disease. Thrombin converts fibrinogen to fibrin, producing the load-bearing fibrin scaffold that governs clot mechanics and transport. Objective: Quantitatively map how initial fibrinogen and thrombin concentrations, [Fgn]0 and [Thr]0, determine fibrin architecture in human plasma and a purified fibrinogen system. Methods. Scanning electron microscopy was used to quantify single-fiber morphology—fiber diameter and branch-to-branch segment length from a standardized sample-preparation protocol. Confocal microscopy was used to quantify network architecture – projected fiber density and pore/bubble size. Results and Conclusions: Across plasma and purified systems, structural network parameters could be fit to compact multiplicative scaling laws of the form Y = k[Fgn]α0 [Thr]β0. Magnitudes and signs of the exponents a and b, indicate that thrombin primarily controls single-fiber growth kinetics, strongly shortening branch-to-branch segment length and modestly thinning fibers, whereas fibrinogen primarily controls space filling, strongly increasing fiber density and reducing pore/bubble size while thickening fibers. For matched [Fgn]0 and [Thr]0, purified fibrinogen formed denser networks with thinner and shorter fibers, consistent with environment-dependent assembly conditions. These parameterized scaling relations allow predictions that link composition to fibrin microstructure for plasma and purified fibrinogen clots. Fiber length 3 analysis suggests that each thrombin molecule nucleates one fiber. These relationships provide the baseline for extensive, quantitative modeling work of blood clotting.

Chromatin is a dynamic polymer in constant motion. These motions are heterogeneous between cells and within individual cell nuclei and are profoundly altered in response to DNA damage. The shifts in chromatin motions following genomic insults depend on the temporal and physical scales considered. They are also distinct in damaged and undamaged regions. In this review, we emphasize the role of chromatin tethering and loop formation in chromatin dynamics, with the view that pulsing loops are key contributors to chromatin motions. Chromatin tethers likely mediate micron-scale chromatin coherence predicted by polymer models and measured experimentally, and we propose that remodeling of the tethers in response to DNA breaks enables uncoupling of damaged and undamaged chromatin regions.

In yeasts and higher eukaryotes, chromatin motions may be tuned to genomic functions, with transcriptional activation and the DNA damage response both leading to profound changes in chromatin dynamics. The RAD51 recombinase is a key mediator of chromatin mobility following DNA damage. As functions of RAD51 beyond DNA repair are being discovered, we asked whether RAD51 modulates chromatin dynamics in the absence of DNA damage and found that inhibition or depletion of RAD51 alters chromatin motions in undamaged cells. Inhibition of RAD51 increased nucleosome clustering. Predictions from polymer models are that chromatin clusters reduce chain mobility and, indeed, we measured reduced motion of individual chromatin loci in cells treated with a RAD51 inhibitor. This effect was conserved in mammalian cells, yeasts, and plant cells. In contrast, RAD51 depletion or inhibition increased global chromatin motions at the microscale. The results uncover a role for RAD51 in regulating local and global chromatin dynamics independently from DNA damage and highlight the importance of considering different physical scales when studying chromatin dynamics.

SignificanceThree-dimensional (3D) imaging and object tracking is critical for medical and biological research and can be achieved by multifocal imaging with diffractive optical elements (DOEs) converting depth (z) information into a modification of the two-dimensional image. Physical insight into DOE designs will spur this expanding field.AimTo precisely track microscopic fluorescent objects in biological systems in 3D with a simple low-cost DOE system.ApproachWe designed a multiring spiral phase plate (SPP) generating a single-spot rotating point spread function (SS-RPSF) in a microscope. Our simple, analytically transparent design process uses Bessel beams to avoid rotational ambiguities and achieve a significant depth range. The SPP was inserted into the Nomarski prism slider of a standard microscope. Performance was evaluated using fluorescent beads and in live cells expressing a fluorescent chromatin marker.ResultsBead localization precision was <25 nm in the transverse dimensions and ≤70 nm along the axial dimension over an axial range of 6 μm. Higher axial precision (≤50 nm) was achieved over a shallower focal depth of 2.9 μm. 3D diffusion constants of chromatin matched expected values.ConclusionsPrecise 3D localization and tracking can be achieved with a SS-RPSF SPP in a standard microscope with minor modifications.

Chromatin motions depend on and may regulate genome functions, in particular the DNA damage response. In yeast, DNA double-strand breaks (DSBs) globally increase chromatin diffusion, whereas in higher eukaryotes the impact of DSBs on chromatin dynamics is more nuanced. We mapped the motions of chromatin microdomains in mammalian cells using diffractive optics and photoactivatable chromatin probes and found a high level of spatial heterogeneity. DNA damage reduces heterogeneity and imposes spatially defined shifts in motions: Distal to DNA breaks, chromatin motions are globally reduced, whereas chromatin retains higher mobility at break sites. These effects are driven by context-dependent changes in chromatin compaction. Photoactivated lattices of chromatin microdomains are ideal to quantify microscale coupling of chromatin motion. We measured correlation distances up to 2 µm in the cell nucleus, spanning chromosome territories, and speculate that this correlation distance between chromatin microdomains corresponds to the physical separation of A and B compartments identified in chromosome conformation capture experiments. After DNA damage, chromatin motions become less correlated, a phenomenon driven by phase separation at DSBs. Our data indicate tight spatial control of chromatin motions after genomic insults, which may facilitate repair at the break sites and prevent deleterious contacts of DSBs, thereby reducing the risk of genomic rearrangements.

Electrospun nanofibers manufactured from biocompatible materials are used in numerous bioengineering applications, such as tissue engineering, creating organoids or dressings, and drug delivery. In many of these applications, the morphological and mechanical properties of the single fiber affect their function. We used a combined atomic force microscope (AFM)/optical microscope technique to determine the mechanical properties of nanofibers that were electrospun from a 50:50 fibrinogen:PCL (poly-ε-caprolactone) blend. Both of these materials are widely available and biocompatible. Fibers were spun onto a striated substrate with 6 μm wide grooves, anchored with epoxy on the ridges and pulled with the AFM probe. The fibers showed significant strain softening, as the modulus decreased from an initial value of 1700 MPa (5–10% strain) to 110 MPa (>40% strain). Despite this extreme strain softening, these fibers were very extensible, with a breaking strain of 100%. The fibers exhibited high energy loss (up to 70%) and strains larger than 5% permanently deformed the fibers. These fibers displayed the stress–strain curves of a ductile material. We provide a comparison of the mechanical properties of these blended fibers with other electrospun and natural nanofibers. This work expands a growing library of mechanically characterized, electrospun materials for biomedical applications.