Active diffusion and advection in the<i>Drosophila</i>ooplasm result from the interplay of the actin and microtubule cytoskeletons

Drechsler, Maik; Giavazzi, Fabio; Cerbino, Roberto; Im, Palacios

doi:10.1101/098590

Cited by 6 publications

(5 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To quantify the active dynamics of myosin-driven networks, we use differential dynamic microscopy (DDM) to analyze time-series of images. DDM is useful for investigating diffusive and active dynamics of soft materials such as those found in biological systems 32 , including cytoskeleton complexes [33][34][35] . In our own previous work, we have used DDM to study the passive transport of tracers within static actin-microtubule networks, and found that these networks exhibit subdiffusive behavior 36 .…”

Section: Microtubules Slow Actomyosin Activity 7-foldmentioning

confidence: 99%

Myosin-driven actin-microtubule networks exhibit self-organized contractile dynamics

Lee

Rust

Das

et al. 2020

Preprint

View full text Add to dashboard Cite

The cytoskeleton is a dynamic network of proteins, including actin, microtubules, and myosin, that enables essential cellular processes such as motility, division, mechanosensing, and growth. While actomyosin networks are extensively studied, how interactions between actin and microtubules, ubiquitous in the cytoskeleton, influence actomyosin activity remains an open question. Here, we create a network of co-entangled actin and microtubules driven by myosin II. We combine dynamic differential microscopy, particle image velocimetry and particle-tracking to show that both actin and microtubules in the network undergo ballistic contraction with surprisingly indistinguishable characteristics. This controlled contractility is distinct from the faster turbulent motion and rupturing that active actin networks exhibit. Our results suggest that microtubules can enable self-organized myosin-driven contraction by providing flexural rigidity and enhanced connectivity to actin networks. These results provide important new insight into the diverse interactions cells can use to tune activity, and offer a powerful platform for designing multifunctional materials with well-regulated activity.

show abstract

Section: Microtubules Slow Actomyosin Activity 7-foldmentioning

confidence: 99%

Myosin-driven actin-microtubule networks exhibit self-organized contractile dynamics

Lee

Rust

Das

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…More in general, the use of different contrast mechanisms can be beneficial in probing the multi-scale dynamics in a complex environment, such as for instance the cell interior 36 . A significant step in this direction was taken by Drechsler, Giavazzi et al 37 , who combined ConDDM and Differential Interference Contrast DDM (DIC-DDM) to probe selectively inside a Drosophila oocyte the dynamics of cytoskeletal filamentous actin (F-actin) and endogenous vesicles, respectively. During oogenesis, the oocyte is characterized by a combination of different transport mechanisms, including directed transport by cytoplasmic flows 38 and active diffusion 39 .…”

Section: Anomalous Dynamics Of Intruders In a Crowded Environment mentioning

confidence: 99%

Perspective: Differential dynamic microscopy extracts multi-scale activity in complex fluids and biological systems

Cerbino

Cicuta

2017

The Journal of Chemical Physics

Self Cite

View full text Add to dashboard Cite

Differential dynamic microscopy (DDM) is a technique that exploits optical microscopy to obtain local, multi-scale quantitative information about dynamic samples, in most cases without user intervention. It is proving extremely useful in understanding dynamics in liquid suspensions, soft materials, cells and tissues. In DDM, image sequences are analyzed via a combination of image differences and spatial Fourier transforms to obtain information equivalent to that obtained by means of light scattering techniques. Compared to light scattering, DDM offers obvious advantages, principally (a) simplicity of setup; (b) possibility of removing static contributions along the optical path; (c) power of simultaneous different microscopy contrast mechanisms; (d) flexibility of choosing an analysis region, analogous to a scattering volume. For many questions, DDM has also advantages compared to segmentation/tracking approaches and to correlation techniques like Particle Image Velocimetry. The very straightforward DDM approach, originally demonstrated with bright field microscopy of aqueous colloids, has lately been used to probe a variety of other complex fluids and biological systems with many different imaging methods, including dark-field, differential interference contrast, wide-field, light-sheet, and confocal microscopy. The number of adopting groups is rapidly increasing and so are the applications. Here, we briefly recall the working principles of DDM, we highlight its advantages and limitations, we outline recent experimental breakthroughs, and we provide a perspective on future challenges and directions. DDM can become a standard primary tool in every laboratory equipped with a microscope, at the very least as a first bias-free automated evaluation of the dynamics in a system.

show abstract

“…We expect that DDM-µr can be successfully used to measure the rheological properties of a variety of soft materials, also in cases where DLS, DWS and PT can not be used. A typical example is the cell interior [29] where DDM has already been successfully used to measure the interplay of diffusion and flow during oogenesis.…”

Section: Introductionmentioning

confidence: 99%

Differential dynamic microscopy microrheology of soft materials: A tracking-free determination of the frequency-dependent loss and storage moduli

Edera

Bergamini

Trappe

et al. 2017

Phys. Rev. Materials

Self Cite

View full text Add to dashboard Cite

Particle-tracking microrheology (PT-μr) exploits the thermal motion of embedded particles to probe the local mechanical properties of soft materials. Despite its appealing conceptual simplicity, PT-μr requires calibration procedures and operating assumptions that constitute a practical barrier to its wider application. Here we demonstrate differential dynamic microscopy microrheology (DDM-μr), a tracking-free approach based on the multiscale, temporal correlation study of the image intensity fluctuations that are observed in microscopy experiments as a consequence of the translational and rotational motion of the tracers. We show that the mechanical moduli of an arbitrary sample are determined correctly over a wide frequency range provided that the standard DDM analysis is reinforced with an iterative, self-consistent procedure that fully exploits the multiscale information made available by DDM. Our approach to DDM-μr does not require any prior calibration, is in agreement with both traditional rheology and diffusing wave spectroscopy microrheology, and works in conditions where PT-μr fails, providing thus an operationally simple, calibration-free probe of soft materials.

show abstract

Active diffusion and advection in theDrosophilaooplasm result from the interplay of the actin and microtubule cytoskeletons

Cited by 6 publications

References 50 publications

Myosin-driven actin-microtubule networks exhibit self-organized contractile dynamics

Myosin-driven actin-microtubule networks exhibit self-organized contractile dynamics

Perspective: Differential dynamic microscopy extracts multi-scale activity in complex fluids and biological systems

Differential dynamic microscopy microrheology of soft materials: A tracking-free determination of the frequency-dependent loss and storage moduli

Contact Info

Product

Resources

About