DOI:10.32604/biocell.2022.018471
| BIOCELL DOI:10.32604/biocell.2022.018471 | |
| Viewpoint |
Microenvironment promotes cytoskeleton remodeling and adaptive phenotypic transition
Department of Experimental Medicine, Systems Biology Group, Sapienza University of Rome, Rome, 00163, Italy
*Address correspondence to: Mariano Bizzarri, mariano.bizzarri@uniroma1.it
Received: 27 July 2021; Accepted: 16 September 2021
Abstract: The cytoskeleton includes three main classes of networked filaments behaving as a coherent and complex structure that confers stability to cell shape while serving as sensor of internal/extracellular changes. Microenvironmental stimuli interfere with the non-linear dynamics that govern cytoskeleton architecture, namely by fostering symmetry breakings and transitions across different phenotypic states. Such process induces a whole-coherent adaptive response, involving the reprogramming of biochemical and gene-expression patterns. These characteristics are especially relevant during development, and in those conditions in which a deregulated crosstalk between cells and the stroma is at the core of the pathological process. Therefore, studying how the cytoskeleton can be modified–both pharmacologically and/or through microenvironment-dependent changes–has become a major area of interest in cancer and developmental biology.
Keywords: Cell scaffolding; environmental cues; non-equilibrium thermodynamics; phenotypic reversion; cell fate commitment
The cytoskeleton (CSK) constitutes a pivotal structure that confers shape and stability to the cell, while serving as a sensor of mechano-biological inputs from the microenvironment (Ramaekers and Bosman, 2004). CSK can be viewed as a sensor of both internal/extracellular changes and a promoter of the adaptive response that follows a wide range of biophysical stimulations. Environmental cues generate mechanical forces that regulate cytoskeletal organization: CSK remodeling is then mechanically transduced to organelles and even into the nucleus (Kim and Wirtz, 2015), ultimately promoting a wide modulation of biochemical pathways through complex rewiring of the nucleoskeleton (NSK) (Stroud, 2018). Namely, F-actin reorganization leads to nuclear lamina deformation that influences heterochromatin localization and core histone protein mobility, which exerts mechanical control on nuclear morphology and chromatin organization. The complex dynamical interplay between CSK and NSK, in the end, results in differential gene expression patterns (Ramdas and Shivashankar, 2015). The mechanical link between CSK and NSK substantiate a dynamic reciprocity between the nucleus and the outside of epithelial cells and tissues.
Namely, the existence of an intermediate filament cage surrounding the nucleus, and occasionally passing into the nuclear space through invaginations or tunnels in the nucleus, suggests a unique mechanical coupling between receptors on the plasma membrane and the nucleus (Jorgens et al., 2017). These bewildering properties of cell scaffolding are especially important in the context of development-when cells are highly sensitive to their environment-during cell differentiation, and in all those conditions in which cells undergo a transition from a phenotypic state to another (Lim and Plachta, 2021). Therefore, studying how the cytoskeleton can be modified–both pharmacologically and/or through microenvironment-dependent changes–has become a major area of interest in cancer and developmental biology.
Despite structural differences between the main components of CSK (actin, microtubules and intermediate filaments), all three classes of filaments share common features: (1) they are composed of monomeric subunits; (2) monomers are assembled and disassembled according to the rules of non-equilibrium thermodynamics (Tabony, 1994), thus making the CSK architecture highly sensitive even to mild fluctuations in the environmental forces; and (3) they are connected both to the cell membrane (forming highly structured adhesion complexes), and to the cell nucleus by anchoring to the nucleoskeleton (Simon and Wilson, 2011) (Fig. 1).
Figure 1: The CSK constitutes a key network that confers shape and stability to the cell, while serving as a sensor of mechano-biological inputs from the microenvironment. Environmental cues (emerging from stroma density, collagen architecture, fibroblasts activity, etc.) generate mechanical forces that regulate cytoskeletal organization. Reframing of the CSK is mechanically transduced to organelles, biochemical pathways (some of which are physically linked to the CSK), and to the nucleus. Conclusively, transmission of environmental forces through the mechanobiology apparatus results in significant modification of enzymatic, protein and gene expression patterns. Focal Adhesion Kinases, FAK; E-Cad, E-cadherin.
Specifically, remodeling of CSK has been observed in all those conditions in which a phenotypic transition comes into play (Datta et al., 2021). A profound disorganization of CSK has been recorded in cancerous cells, in which actin and microtubules remodeling is instrumental in promoting an invasive/migrating phenotype (Hall, 2009). Even neoplastic invasion is initiated and maintained by microenvironmental cues that control cytoskeletal dynamics in tumor cells and the turnover of cell-matrix and cell-cell junctions, followed by cell migration into the adjacent tissue (Friedl and Alexander, 2011). Moreover, the reciprocal reprogramming of both the tumor cells and the surrounding tissue structures not only guides invasion, but also generates diverse modes of dissemination. Similarly, profound CSK changes coupled to epithelial-mesenchymal transitions are observed during normal developmental processes (Li et al., 2017). However, it is still a matter of investigation if CSK changes happen as secondary events or if they are true causative factor in promoting critical transitions. This is a key issue because several conditions may affect the composition and the biophysical properties of the microenvironment, which can consequently foster CSK remodeling and thus adaptive change in gene expression and cell phenotype. Focusing on the microenvironment would implies we should switch from a cell-centered perspective toward a wide, systems-based view given that the complex crosstalk in between cells and stroma is ultimately responsible for those processes that involve tissue morphogenesis and its pathological outcomes, like cancer (Sonnenschein and Soto, 2020).
An exemplary model of how mere physical changes in the microenvironment can dramatically interfere with CSK architecture and promote cell phenotype differentiation–without the need of any “instructive”, molecular “signal”–has recently been provided by studies performed on microgravity. Living cells cultured in microgravity are subjected to relevant morphological changes associated with the emergence of two phenotypes-an ‘adherent’ and a ‘floating cell clumps’ one–in which the native population is almost equally partitioned within the same culture (Bizzarri et al., 2018). This phenomenon is reversible, as both clusters collapse into the original phenotype when cells are seeded again into a 1 g gravity field. This simple experiment demonstrated that the “removal” of a biophysical constraint (the gravity) can spontaneously promote a cell fate commitment. Noticeably, this process is primarily triggered by the remodeling of CSK (Po et al., 2019). Subtle modifications in gene and protein expression are secondary, adaptive arrangements that stabilize the configuration assumed by each cell cluster. In fact, CSK is under a continuous stochastic fluctuation and this activity is highly sensitive to modifications in the non-equilibrium dynamics. In absence of gravity, CSK cannot find a proper equilibrium stabilization, losing its native orientation. Impairment of CSK architecture, in turn, favors the spontaneous emergence of novel phenotypes. Thus, changes in CSK architecture are instrumental in shaping cell morphological rearrangement, and in mechano-sensing physical perturbations that, in turn, are transduced to influence cell growth, metabolism and differentiation. In absence of gravity, CSK remodeling is an everlasting phenomenon (due to non-equilibrium dynamics), which will lead to an endless rearrangement, while cells are oscillating in between different morphological configurations. These findings highlight the relevance of the biophysical properties of the microenvironment and the concomitant adaptive changes that, by involving the CSK, can successfully promote the emergence of novel phenotypes. These results further vindicate the assumption for which the genotype does not determine by itself the phenotype but requires additional, environmental cues to proper finalize cell commitment (Prasun et al., 2007).
Conversely, pharmacologically induced modifications in CSK architecture have been demonstrated to favor the reversion of (apparently) firmly established phenotypes. Myo-inositol (myo-Ins) administered at pharmacological doses in breast cancer cells promotes bewildering rearrangements of CSK, which in turn almost completely inhibit cell motility and invasiveness (Dinicola et al., 2016). Indeed, myo-Ins significantly reduces vimentin and cofilin expression, stabilizes cortical F-actin and suppress the emergence of lamellipodia and filopodia. Those changes are subsequently followed by reversal of the epithelial-mesenchymal transition, as witnessed by several inhibition of correlated pathways and gene-expression. Those results have been replicated in vivo, where inositol administration has proven to suppress the metastatic process in more than 90% of treated animals (Minini et al., 2021). Furthermore, experimental data have shown that chemical/physical manipulation of microenvironment can enhance cancer regression/reversion, mostly by inducing a remodeling of the CSK (Kenny and Bissell, 2003). Current evidence suggests that the stroma stiffness (principally dependent on collagen density and architecture) and the crosstalk between E-cadherin, integrins and CSK components are prominent, key factors in triggering cell fate commitment (Koenig et al., 2006), cell reprogramming, and even reversion of cancerous features (Rubtsova et al., 2021; Perl et al., 1998). Moreover, as inhibition of cancer motility and invasiveness represents a crucial end point in cancer management (Proietti et al., 2018; Gandalovičová et al., 2017), the search for specific treatments able in targeting the metastatic capability of cancer is urgently warranted. Critical assessment of these novel antimetastatic agents to achieve “stable reversion” (Powers and Pollack, 2016) is gaining momentum, and hopefully can establish new and improved options for the treatment of solid cancer, as supported by preliminary, randomized clinical studies (Livraghi et al., 2005).
The Impact of the Novel Paradigm
Biochemical/biophysical changes occurring within the stroma can affect tissue organization and cell fate adaptive function mostly by interfering with CSK architecture and dynamics that, in turn, modulate gene expression and biochemical pathways (Khan et al., 2020). These findings substantiate a paradigm shift, as the “causative” level moves from genes to those factors that can influence the overall system’s behavior. The genetic paradigm has largely privileged a specific level of observation, while reducing the complexity of a living system only to its molecular components given that the gene paradigm has been “illegitimately extended as a paradigm of life” (Strohman, 1997). Understanding the logic of organisms implies to perform strict correlations between the ‘local’ processes and the ‘global’ structure of the living beings, connecting every level with each other. The existence of levels means that molecules, components and structures belonging to the system are constrained to cooperate in the functionality of the whole. These constraints lie in the boundary and initial conditions, so that the organization becomes cause in the matter. Indeed, CSK can be viewed as the structure in which external and internal stimuli both converge: the crossroads where cell fate decision may either collapse or diverge. It is worth noting that CSK may amplify–or alternatively buffer–strong or mild stimulation, which are in turn transduced to the overall system, thus triggering a collective, sand-pile like, response of all of its components in a coherent fashion (Subramanian and Kapoor, 2012) (Fig. 2).
Figure 2: Intrinsic CSK dynamics can be described by non-equilibrium thermodynamics, according to self-organized complexity theory. In basal conditions assembly and disassembly of CSK monomers show a stochastic behavior. In response to environmental stresses (physical forces, changes in biochemical gradients, hypoxic conditions, etc.), fluctuation rates within the CSK steadily rise up to a threshold value, at which correlations among its components are maximized. At the bifurcation point (BP) the system displays the highest coherency degree and undergoes a sharp phase transition. Constraints and environmental factors contribute to steering the transition toward a preferred outcome (the attractor), selected among many. Once a new CSK configuration has been achieved, secondary changes intervene to stabilize the novel Gene Regulatory Network (GRN), chromatin organization and consequent gene expression. Overall, the transition ends up providing a new phenotype.
The CSK-itself a non-equilibrium chemical system-harnesses chemical energy to perform mechanical work that enables cells to migrate, divide, differentiate, and exert forces on their surroundings, principally in response to strong biophysical (thermodynamic) constraints, rather than to single, molecular signals (Hess and Ross, 2017). Briefly, both microtubules and actin filaments display a highly dynamic regimen, involving a continuous disassembly and assembly of their monomer constituents. Under normal conditions, this process displays intrinsic instability, leading tubulin/actin monomers to be preferentially added to one extremity of the filament while being lost from the other, ultimately forming stationary macroscopic patterns. This dynamic equilibrium is highly sensitive to a wide range of biophysical perturbations, including gravity (Papaseit et al., 2000). Microenvironmental cues act by ‘canalizing’ the higher fluctuations occurring during the remodeling phases that allow CSK to assume a specific configuration. Given that CSK remodeling is a non-equilibrium process–highly sensitive even to weak forces when approaching a tipping point–this interaction causes a ‘drift’ term, which breaks the symmetry of the transport processes and therefore promotes CSK growth along a specific direction (Portet et al., 2003). Under gravity, striped patterns of microtubules oriented consecutively in an ordered manner, whereas in weightlessness, no pattern formation arises and microtubules self-organize into an isotropic configuration without preferential orientation. In other words, gravity provides a vector of directionality to the self-organizing process (Lim and Plachta, 2021; Sonnenschein and Soto, 2020). Ultimately, the non-equilibrium dynamics modulation of CSK allows cells to display emergent properties, long range correlations and dramatic first-order classes transitions. Indeed, generated stresses and mechanical structures can couple in complex ways such that different dynamic steady states with different structural order can abruptly emerge when applied biophysical cues interfere with the connectivity of the network by promoting an overall transition according to the self-organized theory (SOC) (Bizzarri et al., 2020). Briefly, symmetry breakings in CSK architecture anticipated and are then instrumental in fostering resultant major structural reorganization (Tan et al., 2018), given that the associated system of CSK-NSK can be viewed as the main driver of critical transitions across the Waddington landscape of living cells (Bizzarri and Pontecorvi, 2021).
This statement has huge consequences at both theoretical and experimental level. First, cell function and behavior cannot longer be studied in isolation, that is, without taking into consideration their three-dimensional microenvironment: two-dimensional cultures can be viewed for many aspects as true “artifacts,” which often provide unreliable results (Haycock, 2011). Second, phenotypic commitment should be considered, in principle, a reversible process: both molecular and biophysical cues can efficiently induce phenotypic reversion, as highlighted by cell reprogramming studies (Downing et al., 2013). Third, by shifting our focus from genes to dynamic relationships between the microenvironment and the overall cell structure would imply we have to reframe the dominant paradigm in carcinogenesis (Bizzarri and Cucina, 2016), dismissing the gene-centered approach once deemed the privileged level of causality (Noble, 2012). Therefore, the focus for identifying new therapeutic targets should move from genes to system’s parameters as those that control cell shape and CSK performance (Bizzarri and Cucina, 2014). For instance, engineered low-pathogenic microbes have been recently shown to promote mesenchymal stem cells reprogramming into multiple lineages by modulating CSK architecture (Sivasubramaniam and Franks, 2016). Even more intriguing are results provided by Badylak’s group (Naranjo et al., 2020), which demonstrated that pre-neoplastic lesions and inflammation in Barrett’s esophagus can be mitigated, and the metaplastic changes can be reversed when the microenvironment is “reverted” into a more normal, homeostatic state by coating the esophageal mucosa with a mucoadhesive hydrogel composed of normal porcine esophageal extra cellular matrix components. Recognizing how to modulate the CSK by manipulating/engineering the microenvironment (Ingber, 2008) could help in planning new pharmacological approaches in those diseases arising as a result of disrupted crosstalk between cells and their microenvironment, including developmental-related defects, cancer, and inflammation-based diseases.
Author Contribution: The authors confirm contribution to the paper as follows: study conception and design: M. Bizzarri; draft manuscript preparation: M. Bizzarri, P. Pontecorvi. All authors reviewed and approved the final version of the manuscript.
Funding Statement: The authors received no specific funding for this study.
Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.
Bizzarri M, Cucina A (2014). Tumor and the microenvironment: A chance to reframe the paradigm of carcinogenesis? BioMed Research International 2014: 1–9. DOI 10.1155/2014/934038. [Google Scholar] [CrossRef]
Bizzarri M, Cucina A (2016). SMT and TOFT: Why and how they are opposite and incompatible paradigms. Acta Biotheoretica 64: 221–239. DOI 10.1007/s10441-016-9281-4. [Google Scholar] [CrossRef]
Bizzarri M, Masiello MG, Giuliani A, Cucina A (2018). Gravity constraints drive biological systems toward specific organization patterns: Commitment of cell specification is constrained by physical cues. Bioessays 40: 1700138. DOI 10.1002/bies.201700138. [Google Scholar] [CrossRef]
Bizzarri M, Naimark O, Nieto-Villar J, Fedeli V, Giuliani A (2020). Complexity in biological organization: Deconstruction (and subsequent restating) of key concepts. Entropy (Basel) 22: 885. DOI 10.3390/e22080885. [Google Scholar] [CrossRef]
Bizzarri M, Pontecorvi P (2021). Critical transition across the Waddington landscape as an interpretative model: Comment on “Dynamic and thermodynamic models of adaptation” by Gorban AN et al. Physics of Life Reviews 38: 115–119. DOI 10.1016/j.plrev.2021.05.010. [Google Scholar] [CrossRef]
Datta A, Deng S, Gopal V, Yap KC, Halim CE et al. (2021). Cytoskeletal dynamics in epithelial-mesenchymal transition: Insights into therapeutic targets for cancer metastasis. Cancers (Basel) 13: 1882. DOI 10.3390/cancers13081882. [Google Scholar] [CrossRef]
Dinicola S, Fabrizi G, Masiello MG, Proietti S, Palombo A et al. (2016). Inositol induces mesenchymal-epithelial reversion in breast cancer cells through cytoskeleton rearrangement. Experimental Cell Research 345: 37–50. DOI 10.1016/j.yexcr.2016.05.007. [Google Scholar] [CrossRef]
Downing TL, Soto J, Morez C, Houssin T, Fritz A et al. (2013). Biophysical regulation of epigenetic state and cell reprogramming. Nature Materials 12: 1154–1162. DOI 10.1038/nmat3777. [Google Scholar] [CrossRef]
Friedl P, Alexander S (2011). Cancer invasion and the microenvironment: Plasticity and reciprocity. Cell 147: 992–1009. DOI 10.1016/j.cell.2011.11.016. [Google Scholar] [CrossRef]
Gandalovičová A, Rosel D, Fernandes M, Veselý P, Heneberg P et al. (2017). Migrastatics-anti-metastatic and anti-invasion drugs: Promises and challenges. Trends in Cancer 3: 391–406. DOI 10.1016/j.trecan.2017.04.008. [Google Scholar] [CrossRef]
Hall A (2009). The cytoskeleton and cancer. Cancer and Metastasis Reviews 28: 5–14. DOI 10.1007/s10555-008-9166-3. [Google Scholar] [CrossRef]
Haycock JW (2011). 3D cell culture: A review of current approaches and techniques. Methods in Molecular Biology 695: 1–15. DOI 10.1007/978-1-60761-984-0. [Google Scholar] [CrossRef]
Hess H, Ross JL (2017). Non-equilibrium assembly of microtubules: From molecules to autonomous chemical robots. Chemical Society Reviews 46: 5570–5587. DOI 10.1039/C7CS00030H. [Google Scholar] [CrossRef]
Ingber DE (2008). Can cancer be reversed by engineering the tumor microenvironment? Seminars in Cancer Biology 18: 356–364. DOI 10.1016/j.semcancer.2008.03.016. [Google Scholar] [CrossRef]
Jorgens DM, Inman JL, Wojcik M, Robertson C, Palsdottir H et al. (2016). Deep nuclear invaginations are linked to cytoskeletal filaments-integrated bioimaging of epithelial cells in 3D culture. Journal of Cell Science 11: 36. DOI 10.1242/jcs.190967. [Google Scholar] [CrossRef]
Kenny PA, Bissell MJ (2003). Tumor reversion: correction of malignant behavior by microenvironmental cues. International Journal of Cancer 107: 688–695. DOI 10.1002/(ISSN)1097-0215. [Google Scholar] [CrossRef]
Khan AU, Qu R, Fan T, Ouyang J, Dai J (2020). A glance on the role of actin in osteogenic and adipogenic differentiation of mesenchymal stem cells. Stem Cell Research &Therapy 11: 886. DOI 10.1186/s13287-020-01789-2. [Google Scholar] [CrossRef]
Kim DH, Wirtz D (2015). Cytoskeletal tension induces the polarized architecture of the nucleus. Biomaterials 48: 161–172. DOI 10.1016/j.biomaterials.2015.01.023. [Google Scholar] [CrossRef]
Koenig A, Mueller C, Hasel C, Adler G, Menke A (2006). Collagen type I induces disruption of E-cadherin-mediated cell-cell contacts and promotes proliferation of pancreatic carcinoma cells. Cancer Research 66: 4662–4671. DOI 10.1158/0008-5472.CAN-05-2804. [Google Scholar] [CrossRef]
Li Q, Hutchins AP, Chen Y, Li S, Shan Y et al. (2017). A sequential EMT-MET mechanism drives the differentiation of human embryonic stem cells towards hepatocytes. Nature Communications 8: 1617. DOI 10.1038/ncomms15166. [Google Scholar] [CrossRef]
Lim HYG, Plachta N (2021). Cytoskeletal control of early mammalian development. Nature Reviews Molecular Cell Biology 22: 548–562. DOI 10.1038/s41580-021-00363-9. [Google Scholar] [CrossRef]
Livraghi T, Meloni F, Frosi A, Lazzaroni S, Bizzarri TM et al. (2005). Treatment with stem cell differentiation stage factors of intermediate-advanced hepatocellular carcinoma: An open randomized clinical trial. Oncology Research 15: 399–408. DOI 10.3727/096504005776449716. [Google Scholar] [CrossRef]
Minini M, Senni A, He X, Proietti S, Liguoro D et al. (2021). miR-125a-5p impairs the metastatic potential in breast cancer via IP6K1 targeting. Cancer Letters 520: 48–56. DOI 10.1016/j.canlet.2021.07.001. [Google Scholar] [CrossRef]
Naranjo JD, Saldin LT, Sobieski E, Quijano LM, Hill RC et al. (2020). Esophageal extracellular matrix hydrogel mitigates metaplastic change in a dog model of Barrett’s esophagus. Science Advances 6: eaba4526. DOI 10.1126/sciadv.aba4526. [Google Scholar] [CrossRef]
Noble D (2012). A theory of biological relativity: No privileged level of causation. Interface Focus 2: 55–64. DOI 10.1098/rsfs.2011.0067. [Google Scholar] [CrossRef]
Papaseit C, Pochon N, Tabony J (2000). Microtubule self-organization is gravity-dependent. Proceedings of the National Academy of Sciences 97: 8364–8368. DOI 10.1073/pnas.140029597. [Google Scholar] [CrossRef]
Perl AK, Wilgenbus P, Dahl U, Semb H, Christofori G (1998). A causal role for E-cadherin in the transition from adenoma to carcinoma. Nature 392: 190–193. DOI 10.1038/32433. [Google Scholar] [CrossRef]
Po A, Giuliani A, Masiello MG, Cucina A, Catizone A et al. (2019). Phenotypic transitions enacted by simulated microgravity do not alter coherence in gene transcription profile. NPJ Microgravity 5: 1115. DOI 10.1038/s41526-019-0088-x. [Google Scholar] [CrossRef]
Portet S, Tuszynski JA, Dixon JM, Sataric MV (2003). Models of spatial and orientational self-organization of microtubules under the influence of gravitational fields. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics 68(2): 021903. [Google Scholar]
Powers S, Pollack RE (2016). Inducing stable reversion to achieve cancer control. Nature Reviews Cancer 16: 266–270. DOI 10.1038/nrc.2016.12. [Google Scholar] [CrossRef]
Prasun P, Pradhan M, Agarwal S (2007). One gene, many phenotypes. Journal of Postgraduate Medicine 53: 257. [Google Scholar]
Proietti S, Catizone A, Masiello MG, Dinicola S, Fabrizi G et al. (2018). Increase in motility and invasiveness of MCF7 cancer cells induced by nicotine is abolished by melatonin through inhibition of ERK phosphorylation. Journal of Pineal Research 64: e12467. DOI 10.1111/jpi.12467. [Google Scholar] [CrossRef]
Ramaekers FC, Bosman FT (2004). The cytoskeleton and disease. Journal of Pathology 204: 351–354. DOI 10.1002/path.1665. [Google Scholar] [CrossRef]
Ramdas NM, Shivashankar GV (2015). Cytoskeletal control of nuclear morphology and chromatin organization. Journal of Molecular Biology 427: 695–706. DOI 10.1016/j.jmb.2014.09.008. [Google Scholar] [CrossRef]
Rubtsova SN, Zhitnyak IY, Gloushankova NA (2021). Phenotypic plasticity of cancer cells based on remodeling of the actin cytoskeleton and adhesive structures. International Journal of Molecular Sciences 22: 1821. DOI 10.3390/ijms22041821. [Google Scholar] [CrossRef]
Simon DN, Wilson KL (2011). The nucleoskeleton as a genome-associated dynamic ‘network of networks’. Nature Reviews Molecular Cell Biology 12: 695–708. DOI 10.1038/nrm3207. [Google Scholar] [CrossRef]
Sivasubramaniam D, Franks AE (2016). Bioengineering microbial communities: Their potential to help, hinder and disgust. Bioengineered 7: 137–144. DOI 10.1080/21655979.2016.1187346. [Google Scholar] [CrossRef]
Sonnenschein C, Soto AM (2020). Over a century of cancer research: Inconvenient truths and promising leads. PLoS Biology 18: e3000670. DOI 10.1371/journal.pbio.3000670. [Google Scholar] [CrossRef]
Strohman RC (1997). The coming Kuhnian revolution in biology. Nature Biotechnology 15: 194–200. DOI 10.1038/nbt0397-194. [Google Scholar] [CrossRef]
Stroud MJ (2018). Linker of nucleoskeleton and cytoskeleton complex proteins in cardiomyopathy. Biophysical Reviews 10: 1033–1051. DOI 10.1007/s12551-018-0431-6. [Google Scholar] [CrossRef]
Subramanian R, Kapoor TM (2012). Building complexity: Insights into self-organized assembly of microtubule-based architectures. Developmental Cell 23: 874–885. DOI 10.1016/j.devcel.2012.10.011. [Google Scholar] [CrossRef]
Tabony J (1994). Morphological bifurcations involving reaction-diffusion processes during microtubule formation. Science 264: 245–248. DOI 10.1126/science.8146654. [Google Scholar] [CrossRef]
Tan TH, Malik-Garbi M, Abu-Shah E, Li J, Sharma A et al. (2018). Self-organized stress patterns drive state transitions in actin cortices. Science Advances 4: eaar2847. DOI 10.1126/sciadv.aar2847. [Google Scholar] [CrossRef]
 | This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |