{"title":"Comparison of thermal and athermal dynamics of the cell membrane slope fluctuations in the presence and absence of Latrunculin-B.","authors":"Srestha Roy, Rahul Vaippully, Muruga Lokesh, Gokul Nalupurackal, Vandana Yadav, Snigdhadev Chakraborty, Manoj Gopalakrishnan, Privita Edwina Rayappan George Edwin, Saumendra Kumar Bajpai, Basudev Roy","doi":"10.1088/1478-3975/accef1","DOIUrl":"10.1088/1478-3975/accef1","url":null,"abstract":"<p><p>Conventionally, only the normal cell membrane fluctuations have been studied and used to ascertain membrane properties like the bending rigidity. A new concept, the membrane local slope fluctuations was introduced recently (Vaippully<i>et al</i>2020<i>Soft Matter</i><b>16</b>7606), which can be modelled as a gradient of the normal fluctuations. It has been found that the power spectral density (PSD) of slope fluctuations behave as (frequency)<sup>-1</sup>while the normal fluctuations yields (frequency)-5/3even on the apical cell membrane in the high frequency region. In this manuscript, we explore a different situation where the cell is applied with the drug Latrunculin-B which inhibits actin polymerization and find the effect on membrane fluctuations. We find that even as the normal fluctuations show a power law (frequency)-5/3as is the case for a free membrane, the slope fluctuations PSD remains (frequency)<sup>-1</sup>, with exactly the same coefficient as the case when the drug was not applied. Moreover, while sometimes, when the normal fluctuations at high frequency yield a power law of (frequency)-4/3, the pitch PSD still yields (frequency)<sup>-1</sup>. Thus, this presents a convenient opportunity to study membrane parameters like bending rigidity as a function of time after application of the drug, while the membrane softens. We also investigate the active athermal fluctuations of the membrane appearing in the PSD at low frequencies and find active timescales of slower than 1 s.</p>","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":"20 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614533/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10110275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Physical biologyPub Date : 2023-05-04DOI: 10.1088/1478-3975/acce8d
Nathan Mankovich, Helene Andrews-Polymenis, David Threadgill, Michael Kirby
{"title":"Module representatives for refining gene co-expression modules.","authors":"Nathan Mankovich, Helene Andrews-Polymenis, David Threadgill, Michael Kirby","doi":"10.1088/1478-3975/acce8d","DOIUrl":"https://doi.org/10.1088/1478-3975/acce8d","url":null,"abstract":"<p><p>This paper concerns the identification of gene co-expression modules in transcriptomics data, i.e. collections of genes which are highly co-expressed and potentially linked to a biological mechanism. Weighted gene co-expression network analysis (WGCNA) is a widely used method for module detection based on the computation of eigengenes, the weights of the first principal component for the module gene expression matrix. This eigengene has been used as a centroid in a<i>k</i>-means algorithm to improve module memberships. In this paper, we present four new module representatives: the eigengene subspace, flag mean, flag median and module expression vector. The eigengene subspace, flag mean and flag median are subspace module representatives which capture more variance of the gene expression within a module. The module expression vector is a weighted centroid of the module which leverages the structure of the module gene co-expression network. We use these module representatives in Linde-Buzo-Gray clustering algorithms to refine WGCNA module membership. We evaluate these methodologies on two transcriptomics data sets. We find that most of our module refinement techniques improve upon the WGCNA modules by two statistics: (1) module classification between phenotype and (2) module biological significance according to Gene Ontology terms.</p>","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":"20 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9789099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Physical biologyPub Date : 2023-04-21DOI: 10.1088/1478-3975/accb36
Hamid Teimouri, Dorsa B Sattari Khavas, Cade Spaulding, Christopher B Li, Anatoly B Kolomeisky
{"title":"Theoretical understanding of evolutionary dynamics on inhomogeneous networks.","authors":"Hamid Teimouri, Dorsa B Sattari Khavas, Cade Spaulding, Christopher B Li, Anatoly B Kolomeisky","doi":"10.1088/1478-3975/accb36","DOIUrl":"https://doi.org/10.1088/1478-3975/accb36","url":null,"abstract":"<p><p>Evolution is the main feature of all biological systems that allows populations to change their characteristics over successive generations. A powerful approach to understand evolutionary dynamics is to investigate fixation probabilities and fixation times of novel mutations on networks that mimic biological populations. It is now well established that the structure of such networks can have dramatic effects on evolutionary dynamics. In particular, there are population structures that might amplify the fixation probabilities while simultaneously delaying the fixation events. However, the microscopic origins of such complex evolutionary dynamics remain not well understood. We present here a theoretical investigation of the microscopic mechanisms of mutation fixation processes on inhomogeneous networks. It views evolutionary dynamics as a set of stochastic transitions between discrete states specified by different numbers of mutated cells. By specifically considering star networks, we obtain a comprehensive description of evolutionary dynamics. Our approach allows us to employ physics-inspired free-energy landscape arguments to explain the observed trends in fixation times and fixation probabilities, providing a better microscopic understanding of evolutionary dynamics in complex systems.</p>","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":"20 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9409209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Physical biologyPub Date : 2023-04-11DOI: 10.1101/2022.11.09.515897
Siyu Chen, K. Alim
{"title":"Network topology enables efficient response to environment in Physarum polycephalum","authors":"Siyu Chen, K. Alim","doi":"10.1101/2022.11.09.515897","DOIUrl":"https://doi.org/10.1101/2022.11.09.515897","url":null,"abstract":"The network-shaped body plan distinguishes the unicellular slime mould Physarum polycephalum in body architecture from other unicellular organisms. Yet, network-shaped body plans dominate branches of multi-cellular life such as in fungi. What survival advantage does a network structure provide when facing a dynamic environment with adverse conditions? Here, we probe how network topology impacts P. polycephalum’s avoidance response to an adverse blue light. We stimulate either an elongated, I-shaped amoeboid or a Y-shaped networked specimen and subsequently quantify the evacuation process of the light-exposed body part. The result shows that Y-shaped specimen complete the avoidance retraction in a comparable time frame, even slightly faster than I-shaped organisms, yet, at a lower almost negligible increase in migration velocity. Contraction amplitude driving mass motion is further only locally increased in Y-shaped specimen compared to I-shaped—providing further evidence that Y-shaped’s avoidance reaction is energetically more efficient than in I-shaped amoeboid organisms. The difference in the retraction behaviour suggests that the complexity of network topology provides a key advantage when encountering adverse environments. Our findings could lead to a better understanding of the transition from unicellular to multicellularity.","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49500103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Collective response to local perturbations: how to evade threats without losing coherence.","authors":"Emanuele Loffredo, Davide Venturelli, Irene Giardina","doi":"10.1088/1478-3975/acc5cc","DOIUrl":"https://doi.org/10.1088/1478-3975/acc5cc","url":null,"abstract":"<p><p>Living groups move in complex environments and are constantly subject to external stimuli, predatory attacks and disturbances. An efficient response to such perturbations is vital to maintain the group's coherence and cohesion. Perturbations are often local, i.e. they are initially perceived only by few individuals in the group, but can elicit a global response. This is the case of starling flocks, that can turn very quickly to evade predators. In this paper, we investigate the conditions under which a global change of direction can occur upon local perturbations. Using minimal models of self-propelled particles, we show that a collective directional response occurs on timescales that grow with the system size and it is, therefore, a finite-size effect. The larger the group is, the longer it will take to turn. We also show that global coherent turns can only take place if i) the mechanism for information propagation is efficient enough to transmit the local reaction undamped through the whole group; and if ii) motility is not too strong, to avoid that the perturbed individual leaves the group before the turn is complete. No compliance with such conditions results in the group's fragmentation or in a non-efficient response.</p>","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":"20 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9408711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Physical biologyPub Date : 2023-04-03DOI: 10.1088/1478-3975/acc301
Aritra Sen, Ambarish Kunwar
{"title":"Computer simulation reveals the effect of severing enzymes on dynamic and stabilized microtubules.","authors":"Aritra Sen, Ambarish Kunwar","doi":"10.1088/1478-3975/acc301","DOIUrl":"https://doi.org/10.1088/1478-3975/acc301","url":null,"abstract":"<p><p>Microtubule (MT) severing enzymes Katanin and Spastin cut the MT into smaller fragments and are being studied extensively using<i>in-vitro</i>experiments due to their crucial role in different cancers and neurodevelopmental disorders. It has been reported that the severing enzymes are either involved in increasing or decreasing the tubulin mass. Currently, there are a few analytical and computational models for MT amplification and severing. However, these models do not capture the action of MT severing explicitly, as these are based on partial differential equations in one dimension. On the other hand, a few discrete lattice-based models were used earlier to understand the activity of severing enzymes only on stabilized MTs. Hence, in this study, discrete lattice-based Monte Carlo models that included MT dynamics and severing enzyme activity have been developed to understand the effect of severing enzymes on tubulin mass, MT number, and MT length. It was found that the action of severing enzyme reduces average MT length while increasing their number; however, the total tubulin mass can decrease or increase depending on the concentration of GMPCPP (Guanylyl-(<i>α</i>,<i>β</i>)-methylene-diphosphonate)-which is a slowly hydrolyzable analogue of GTP (Guanosine triphosphate). Further, relative tubulin mass also depends on the detachment ratio of GTP/GMPCPP and Guanosine diphosphate tubulin dimers and the binding energies of tubulin dimers covered by the severing enzyme.</p>","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":"20 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9408683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Physical biologyPub Date : 2023-03-31DOI: 10.48550/arXiv.2303.18017
Allison E. Andrews, H. Dickinson, J. Hague
{"title":"Rapid prediction of lab-grown tissue properties using deep learning","authors":"Allison E. Andrews, H. Dickinson, J. Hague","doi":"10.48550/arXiv.2303.18017","DOIUrl":"https://doi.org/10.48550/arXiv.2303.18017","url":null,"abstract":"The interactions between cells and the extracellular matrix are vital for the self-organisation of tissues. In this paper we present proof-of-concept to use machine learning tools to predict the role of this mechanobiology in the self-organisation of cell-laden hydrogels grown in tethered moulds. We develop a process for the automated generation of mould designs with and without key symmetries. We create a large training set with $N=6400$ cases by running detailed biophysical simulations of cell-matrix interactions using the contractile network dipole orientation (CONDOR) model for the self-organisation of cellular hydrogels within these moulds. These are used to train an implementation of the texttt{pix2pix} deep learning model, with an additional $100$ cases that were unseen in the training of the neural network for review and testing of the trained model. Comparison between the predictions of the machine learning technique and the reserved predictions from the biophysical algorithm show that the machine learning algorithm makes excellent predictions. The machine learning algorithm is significantly faster than the biophysical method, opening the possibility of very high throughput rational design of moulds for pharmaceutical testing, regenerative medicine and fundamental studies of biology. Future extensions for scaffolds and 3D bioprinting will open additional applications.","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":"1 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44964745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Physical biologyPub Date : 2023-03-29DOI: 10.1088/1478-3975/acc300
Nguyen H N Tran, Andrew H A Clayton
{"title":"Transfer function approach to understanding periodic forcing of signal transduction networks.","authors":"Nguyen H N Tran, Andrew H A Clayton","doi":"10.1088/1478-3975/acc300","DOIUrl":"https://doi.org/10.1088/1478-3975/acc300","url":null,"abstract":"<p><p>Signal transduction networks are responsible for transferring biochemical signals from the extracellular to the intracellular environment. Understanding the dynamics of these networks helps understand their biological processes. Signals are often delivered in pulses and oscillations. Therefore, understanding the dynamics of these networks under pulsatile and periodic stimuli is useful. One tool to do this is the transfer function. This tutorial outlines the basic theory behind the transfer function approach and walks through some examples of simple signal transduction networks.</p>","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":"20 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9408685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Physical biologyPub Date : 2023-03-28DOI: 10.1088/1478-3975/acc4ff
Zohar Neu, Luca Giuggioli
{"title":"Sociogenesis in unbounded space: modelling self-organised cohesive collective motion.","authors":"Zohar Neu, Luca Giuggioli","doi":"10.1088/1478-3975/acc4ff","DOIUrl":"10.1088/1478-3975/acc4ff","url":null,"abstract":"<p><p>Maintaining cohesion between randomly moving agents in unbounded space is an essential functionality for many real-world applications requiring distributed multi-agent systems. We develop a bio-inspired collective movement model in 1D unbounded space to ensure such functionality. Using an internal agent belief to estimate the mesoscopic state of the system, agent motion is coupled to a dynamically self-generated social ranking variable. This coupling between social information and individual movement is exploited to induce spatial self-sorting and produces an adaptive, group-relative coordinate system that stabilises random motion in unbounded space. We investigate the state-space of the model in terms of its key control parameters and find two separate regimes for the system to attain dynamical cohesive states, including a Partial Sensing regime in which the system self-selects nearest-neighbour distances so as to ensure a near-constant mean number of sensed neighbours. Overall, our approach constitutes a novel theoretical development in models of collective movement, as it considers agents who make decisions based on internal representations of their social environment that explicitly take into account spatial variation in a dynamic internal variable.</p>","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":"20 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7616385/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9401011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Physical biologyPub Date : 2023-03-21DOI: 10.1088/1478-3975/acc1bc
Anna Paola Muntoni, Andrea De Martino
{"title":"Optimal metabolic strategies for microbial growth in stationary random environments.","authors":"Anna Paola Muntoni, Andrea De Martino","doi":"10.1088/1478-3975/acc1bc","DOIUrl":"https://doi.org/10.1088/1478-3975/acc1bc","url":null,"abstract":"<p><p>In order to grow in any given environment, bacteria need to collect information about the medium composition and implement suitable growth strategies by adjusting their regulatory and metabolic degrees of freedom. In the standard sense, optimal strategy selection is achieved when bacteria grow at the fastest rate possible in that medium. While this view of optimality is well suited for cells that have perfect knowledge about their surroundings (e.g. nutrient levels), things are more involved in uncertain or fluctuating conditions, especially when changes occur over timescales comparable to (or faster than) those required to organize a response. Information theory however provides recipes for how cells can choose the optimal growth strategy under uncertainty about the stress levels they will face. Here we analyse the theoretically optimal scenarios for a coarse-grained, experiment-inspired model of bacterial metabolism for growth in a medium described by the (static) probability density of a single variable (the 'stress level'). We show that heterogeneity in growth rates consistently emerges as the optimal response when the environment is sufficiently complex and/or when perfect adjustment of metabolic degrees of freedom is not possible (e.g. due to limited resources). In addition, outcomes close to those achievable with unlimited resources are often attained effectively with a modest amount of fine tuning. In other terms, heterogeneous population structures in complex media may be rather robust with respect to the resources available to probe the environment and adjust reaction rates.</p>","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":"20 3","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9464265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}