Activity Of Individual Cells Research Articles

Cooperation of dual modes of cell motility promotes epithelial stress relaxation to accelerate wound healing.

Collective cell migration in cohesive units is vital for tissue morphogenesis, wound repair, and immune response. While the fundamental driving forces for collective cell motion stem from contractile and protrusive activities of individual cells, it remains unknown how their balance is optimized to maintain tissue cohesiveness and the fluidity for motion. Here we present a cell-based computational model for collective cell migration during wound healing that incorporates mechanochemical coupling of cell motion and adhesion kinetics with stochastic transformation of active motility forces. We show that a balance of protrusive motility and actomyosin contractility is optimized for accelerating the rate of wound repair, which is robust to variations in cell and substrate mechanical properties. This balance underlies rapid collective cell motion during wound healing, resulting from a tradeoff between tension mediated collective cell guidance and active stress relaxation in the tissue.

A Computational Model of Deep-Brain Stimulation for Acquired Dystonia in Children.

The mechanism by which deep brain stimulation (DBS) improves dystonia is not understood, partly heterogeneity of the underlying disorders leads to differing effects of stimulation in different locations. Similarity between the effects of DBS and the effects of lesions has led to biophysical models of blockade or reduced transmission of involuntary activity in individual cells in the pathways responsible for dystonia. Here, we expand these theories by modeling the effect of DBS on populations of neurons. We emphasize the important observation that the DBS signal itself causes surprisingly few side effects and does not normally appear in the electromyographic signal. We hypothesize that, at the population level, massively synchronous rhythmic firing caused by DBS is only poorly transmitted through downstream populations. However, the high frequency of stimulation overwhelms incoming dystonic activity, thereby substituting an ineffectively transmitted exogenous signal for the endogenous abnormal signal. Changes in sensitivity can occur not only at the site of stimulation, but also at downstream sites due to synaptic and homeostatic plasticity mechanisms. The mechanism is predicted to depend strongly on the stimulation frequency. We provide preliminary data from simultaneous multichannel recordings in basal ganglia and thalamus in children with secondary dystonia. We also provide illustrative simulations of the effect of stimulation frequency on the transmission of the DBS pulses through sequential populations of neurons in the dystonia pathway. Our experimental results and model provide a new hypothesis and computational framework consistent with the clinical features of DBS in childhood acquired dystonia.

Force localization modes in dynamic epithelial colonies.

Collective cell behaviors, including tissue remodeling, morphogenesis, and cancer metastasis, rely on dynamics among cells, their neighbors, and the extracellular matrix. The lack of quantitative models precludes understanding of how cell–cell and cell–matrix interactions regulate tissue-scale force transmission to guide morphogenic processes. We integrate biophysical measurements on model epithelial tissues and computational modeling to explore how cell-level dynamics alter mechanical stress organization at multicellular scales. We show that traction stress distribution in epithelial colonies can vary widely for identical geometries. For colonies with peripheral localization of traction stresses, we recapitulate previously described mechanical behavior of cohesive tissues with a continuum model. By contrast, highly motile cells within colonies produce traction stresses that fluctuate in space and time. To predict the traction force dynamics, we introduce an active adherent vertex model (AAVM) for epithelial monolayers. AAVM predicts that increased cellular motility and reduced intercellular mechanical coupling localize traction stresses in the colony interior, in agreement with our experimental data. Furthermore, the model captures a wide spectrum of localized stress production modes that arise from individual cell activities including cell division, rotation, and polarized migration. This approach provides a robust quantitative framework to study how cell-scale dynamics influence force transmission in epithelial tissues.

Multi-dimensional Coding by Basolateral Amygdala Neurons

Conditioned appetitive and aversive responses (CRs) are thought to result from the activation of specific subsets of valence-coding basolateral amygdala (BLA) neurons. Under this model, the responses of BLA cells to conditioned stimuli (CSs) and the activity that drives CRs are closely related. We tested the strength of this correlation using a task where rats could emit different CRs in response to the same CSs. At odds with this model, the CS responses and CR-related activity of individual BLA cells were separable. Moreover, while the incidence of valence-coding cells did not exceed chance, at the population level there was similarity between valence coding for CSs and CRs. In fact, both lateral and basolateral neurons concurrently encoded multiple task features and behaviors. Thus, conditioned emotional behaviors may not depend on the recruitment of single cells that explicitly encode individual task variables but from multiplexed representations distributed across the BLA.

Enhanced quantification of metabolic activity for individual adipocytes by label-free FLIM

Fluorescence lifetime imaging microscopy (FLIM) of intrinsic fluorophores such as nicotinamide adenine dinucleotide (NADH) allows for label-free quantification of metabolic activity of individual cells over time and in response to various stimuli, which is not feasible using traditional methods due to their destructive nature and lack of spatial information. This study uses FLIM to measure pharmacologically induced metabolic changes that occur during the browning of white fat. Adipocyte browning increases energy expenditure, making it a desirable prospect for treating obesity and related disorders. Expanding from the traditional two-lifetime model of NADH to a four-lifetime model using exponential fitting and phasor analysis of the fluorescence decay results in superior metabolic assessment compared to traditional FLIM analysis. The four lifetime components can also be mapped to specific cellular compartments to create a novel optical ratio that quantitatively reflects changes in mitochondrial and cytosolic NADH concentrations and binding states. This widely applicable approach constitutes a powerful tool for studies where monitoring cellular metabolism is of key interest.

An Optogenetic Platform for Real-Time, Single-Cell Interrogation of Stochastic Transcriptional Regulation

SummaryTranscription is a highly regulated and inherently stochastic process. The complexity of signal transduction and gene regulation makes it challenging to analyze how the dynamic activity of transcriptional regulators affects stochastic transcription. By combining a fast-acting, photo-regulatable transcription factor with nascent RNA quantification in live cells and an experimental setup for precise spatiotemporal delivery of light inputs, we constructed a platform for the real-time, single-cell interrogation of transcription in Saccharomyces cerevisiae. We show that transcriptional activation and deactivation are fast and memoryless. By analyzing the temporal activity of individual cells, we found that transcription occurs in bursts, whose duration and timing are modulated by transcription factor activity. Using our platform, we regulated transcription via light-driven feedback loops at the single-cell level. Feedback markedly reduced cell-to-cell variability and led to qualitative differences in cellular transcriptional dynamics. Our platform establishes a flexible method for studying transcriptional dynamics in single cells.

Purine nucleotide metabolism regulates expression of the human immune ligand MICA

Expression of the cell-surface glycoprotein MHC class I polypeptide-related sequence A (MICA) is induced in dangerous, abnormal, or "stressed" cells, including cancer cells, virus-infected cells, and rapidly proliferating cells. MICA is recognized by the activating immune cell receptor natural killer group 2D (NKG2D), providing a mechanism by which immune cells can identify and potentially eliminate pathological cells. Immune recognition through NKG2D is implicated in cancer, atherosclerosis, transplant rejection, and inflammatory diseases, such as rheumatoid arthritis. Despite the wide range of potential therapeutic applications of MICA manipulation, the factors that control MICA expression are unclear. Here we use metabolic interventions and metabolomic analyses to show that the transition from quiescent cellular metabolism to a "Warburg" or biosynthetic metabolic state induces MICA expression. Specifically, we show that glucose transport into the cell and active glycolytic metabolism are necessary to up-regulate MICA expression. Active purine synthesis is necessary to support this effect of glucose, and increases in purine nucleotide levels are sufficient to induce MICA expression. Metabolic induction of MICA expression directly influences NKG2D-dependent cytotoxicity by immune cells. These findings support a model of MICA regulation whereby the purine metabolic activity of individual cells is reflected by cell-surface MICA expression and is the subject of surveillance by NKG2D receptor-expressing immune cells.

Assessing Carbon Source-Dependent Phenotypic Variability in Pseudomonas putida.

The soil bacterium Pseudomonas putida is rapidly becoming a platform of choice for applications that require a microbial host highly resistant to different types of stresses and elevated rates of reducing power regeneration. P. putida is capable of growing in a wide variety of carbon sources that range from simple sugars to complex substrates such as aromatic compounds. Interestingly, the growth of the reference strain KT2440 on glycerol as the sole carbon source is characterized by a prolonged lag phase, not observed with other carbon substrates. This macroscopic phenomenon has been shown to be connected with the stochastic expression of the glp genes, which encode the enzymes needed for glycerol processing. In this protocol, we propose a general procedure to examine bacterial growth in small-scale cultures while monitoring the metabolic activity of individual cells. Assessing the metabolic capacity of single bacteria by means of fluorescence microscopy and flow cytometry, in combination with the analysis of the temporal takeoff of growth in single-cell cultures, is a simple and easy-to-implement approach. It can help to understand the link between macroscopic phenotypes (e.g., microbial growth in batch cultures) and stochastic phenomena at the genetic level. The implementation of these methodologies revealed that the adoption of a glycerol-metabolizing regime by P. putida KT2440 is not the result of a gradual change in the whole population, but it rather reflects a time-dependent bimodal switch between metabolically inactive (i.e., not growing) to fully active (i.e., growing) bacteria.

Mitogen-activated protein kinase (MAPK) dynamics determine cell fate in the yeast mating response

In the yeast Saccharomyces cerevisiae, the exposure to mating pheromone activates a prototypic mitogen-activated protein kinase (MAPK) cascade and triggers a dose-dependent differentiation response. Whereas a high pheromone dose induces growth arrest and formation of a shmoo-like morphology in yeast cells, lower pheromone doses elicit elongated cell growth. Previous population-level analysis has revealed that the MAPK Fus3 plays an important role in mediating this differentiation switch. To further investigate how Fus3 controls the fate decision process at the single-cell level, we developed a specific translocation-based reporter for monitoring Fus3 activity in individual live cells. Using this reporter, we observed strikingly different dynamic patterns of Fus3 activation in single cells differentiated into distinct fates. Cells committed to growth arrest and shmoo formation exhibited sustained Fus3 activation. In contrast, most cells undergoing elongated growth showed either a delayed gradual increase or pulsatile dynamics of Fus3 activity. Furthermore, we found that chemically perturbing Fus3 dynamics with a specific inhibitor could effectively redirect the mating differentiation, confirming the causative role of Fus3 dynamics in driving cell fate decisions. MAPKs mediate proliferation and differentiation signals in mammals and are therapeutic targets in many cancers. Our results highlight the importance of MAPK dynamics in regulating single-cell responses and open up the possibility that MAPK signaling dynamics could be a pharmacological target in therapeutic interventions.

Life-Long Neurogenic Activity of Individual Neural Stem Cells and Continuous Growth Establish an Outside-In Architecture in the Teleost Pallium

SummarySpatiotemporal variations of neurogenesis are thought to account for the evolution of brain shape. In the dorsal telencephalon (pallium) of vertebrates, it remains unresolved which ancestral neurogenesis mode prefigures the highly divergent cytoarchitectures that are seen in extant species. To gain insight into this question, we developed genetic tools to generate here the first 4-dimensional (3D + birthdating time) map of pallium construction in the adult teleost zebrafish. Using a Tet-On-based genetic birthdating strategy, we identify a “sequential stacking” construction mode where neurons derived from the zebrafish pallial germinal zone arrange in outside-in, age-related layers from a central core generated during embryogenesis. We obtained no evidence for overt radial or tangential neuronal migrations. Cre-lox-mediated tracing, which included following Brainbow clones, further demonstrates that this process is sustained by the persistent neurogenic activity of individual pallial neural stem cells (NSCs) from embryo to adult. Together, these data demonstrate that the spatiotemporal control of NSC activity is an important driver of the macroarchitecture of the zebrafish adult pallium. This simple mode of pallium construction shares distinct traits with pallial genesis in mammals and non-mammalian amniotes such as birds or reptiles, suggesting that it may exemplify the basal layout from which vertebrate pallial architectures were elaborated.

Cancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem

The current paradigm views cancer as arising clonally from degradation of genetic information in single cells. A complementary perspective, originating at the dawn of modern developmental biology, is that cancer is the result of system disorder of algorithms that normally orchestrate individual cell activities toward specific anatomical structures and away from tumorigenesis. A view of cancer as disease of geometry focuses on the pathways that allow cells to cooperate to build and maintain large-scale anatomical patterning. Cancer may result when cells stop maintaining higher-order structures and reduce the boundary of their computational selves to single-cell level, reverting to unicellular lifestyle in which the rest of the organism is merely part of the environment at the expense of which all living things survive. While this view has been widely discussed, little progress has been made in providing quantitative, mechanistic framework within which this perspective's specific and unique implications for treatment strategies can be tested and biomedically exploited. Here, we highlight two recent areas of progress which may facilitate much-needed progress on the cancer problem. First, we review the roles that endogenous bioelectrical networks, operating across many tissues in vivo, play as medium of information processing in tumor suppression, progression, and reprogramming. Second, we provide primer to the development of computational theory and tools for quantifying the information and causal control structures in cancer and other complex biological systems. Rigorous mathematical formalisms now exist to measure and analyze the extent to which a whole is more than the sum of its parts, applications of which could lead to new strategies for cancer reprogramming. Here, we review the basic landscape of these related subfields, and sketch specific ways in which synthesis of novel integrative biophysics and mathematical analysis may contribute to novel ways to understand and address cancer in vivo.

Label-free visualization and quantification of single cell signaling activity using metal-clad waveguide (MCWG)-based microscopy

Label-free biosensing methods are very effective for studying cell signaling cascade activation induced by external stimuli. Assays generally involve a large number of cells and rely on the underlying assumption that cell response is homogeneous within a cell population. However, there is an increasing body of evidence showing that cell behavior may vary significantly even among genetically identical cells. In this paper, we demonstrate the use of metal-clad waveguide (MCWG)-based microscopy for label-free real-time monitoring of signaling activity and morphology changes in a small population of cells, with the ability to resolve individual cells. We demonstrate the potential of this approach by quantifying apoptosis-induced intracellular activity in individual cells following exposure to tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) and by visualizing and quantifying extracellular changes in endothelial cell layer integrity following the activation of the proteinase-activated receptor 1 (PAR1) by thrombin. Results show that averaged signals obtained from a cell population may incorrectly reflect the actual distribution of morphology and kinetics parameters across a cell population by a significant margin.

Ion Channel and Neurotransmitter Modulators as Electroceutical Approaches to the Control of Cancer.

The activities of individual cells must be tightly coordinated in order to build and maintain complex 3-dimensional body structures during embryogenesis and regeneration. Thus, one way to view cancer is within systems biology as a network disorder affecting the ability of cells to properly interact with a morphodynamic field of instructive signals that keeps proliferation and migration orchestrated toward the anatomical needs of the host or-ganism. One layer of this set of instructive microenvironmental cues is bioelectrical. Voltage gradients among all somatic cells (not just excitable nerve and muscle) control cell behavior, and the ionic coupling of cells into networks via electrochemical synapses allows them to implement tissue-level patterning decisions. These gradients have been increasingly impli-cated in the induction and suppression of tumorigenesis and metastasis, in the emerging links between developmental bioelectricity to the cancer problem. Consistent with the well-known role of neurotransmitter molecules in transducing electrical activity to downstream cascades in the brain, serotonergic signaling has likewise been implicated in cancer. Here, we review these recent data and propose new approaches for manipulating bioelectric and neurotransmitter pathways in cancer biology based on a bioelectric view of cancer. To sup-port this methodology, we present new data on the effects of the SSRI Prozac and its analog (ZINC ID = ZINC06811610) on survival of both cancer (MCF7) and normal (MCF10A) breast cells exposed to these compounds. We found an IC50 concentration (25 μM for Pro-zac and 100 μM for the Prozac analog) at which these compounds inhibited tumor cell sur-vival and proliferation. Additionally, at these concentrations, we did not observe alterations in a non-tumoral cell line. This constitutes a proof-of-concept demonstration for our hy-pothesis that the use of both existing and novel drugs as electroceuticals could serve as an alternative to highly toxic chemotherapy strategies replacing or augmenting them with less toxic alternatives. We believe this new approach forms an exciting roadmap for future bio-medical advances.

(Keynote) Expression / Functional Activity Relationship of Multidrug Resistance-Associated Protein 1 Investigated By Scanning Electrochemical Microscopy

Cancer cells can develop multidrug resistance (MDR) after prolonged exposure to chemotherapeutic drugs, which is a severe impediment to successful treatment. MDR is typically associated with transmembrane proteins mediating efflux of administered drugs, thereby keeping their intracellular concentration below the threshold required to kill cells. Although expression assays based on flow cytometry and immunostaining have shown that multidrug resistance-associated protein 1 (MRP1) is prevalent in many cancer types, the functional activity of this efflux pump is more difficult to elucidate, especially at the single-cell level. Herein, we report the measurement of MRP1 functional activity in individual cancer cells using scanning electrochemical microscopy (SECM). Cells were cultured onto plastic substrates containing selective adhesion sites. Optical microscopy and SECM revealed that cells adapt to the underlying surface, while MRP1 functional activity increases once the dimensions of the adhesive islands become smaller than those of the cell itself. Time-lapse SECM imaging revealed a suitable window of 30 min to complete each measurement before the cell undergoes blebbing, which is associated with considerable increase in functional activity. Distinct cell populations were produced by performing a doxorubicin drug challenge on two parental cell lines (e.g., wild-type HeLa cells and MRP1-overexpressing HeLa-R cells). Expression and functional activity of MRP1 were determined using flow cytometry and SECM, and our findings show that these parameters do not directly correlate. This suggests that functional activity may represent a powerful indicator of a cancer cell’s response to chemotherapeutic treatment and should improve our understanding of efflux mechanisms based on MRP1.

Determination of the Relationship between Expression and Functional Activity of Multidrug Resistance-Associated Protein 1 using Scanning Electrochemical Microscopy.

Cancer cells can develop multidrug resistance (MDR) after prolonged exposure to chemotherapeutic drugs, which is a severe impediment to successful treatment. MDR is typically associated with transmembrane proteins mediating efflux of administered drugs, thereby keeping their intracellular concentration below the threshold required to kill cells. Although expression assays based on flow cytometry and immunostaining have shown that multidrug resistance-associated protein 1 (MRP1) is prevalent in many cancer types, the functional activity of this efflux pump is more difficult to elucidate, especially at the single-cell level. Herein, we report the measurement of MRP1 functional activity in individual cancer cells using scanning electrochemical microscopy (SECM). Cells were cultured onto plastic substrates containing selective adhesion sites. Optical microscopy and SECM revealed that cells adapt to the underlying surface, while MRP1 functional activity increases once the dimensions of the adhesive islands become smaller than those of the cell itself. Time-lapse SECM imaging revealed a suitable window of 30 min to complete each measurement before the cell undergoes blebbing, which is associated with a considerable increase in functional activity. Distinct cell populations were produced by performing a doxorubicin drug challenge on two parental cell lines (e.g., wild-type HeLa cells and MRP1-overexpressing HeLa-R cells). Expression and functional activity of MRP1 were determined using flow cytometry and SECM, and our findings show that these parameters do not directly correlate. This suggests that functional activity may represent a powerful indicator of a cancer cell's response to chemotherapeutic treatment and should improve our understanding of efflux mechanisms based on MRP1.

Voltage Imaging: Pitfalls and Potential.

Optical methods for interrogating membrane potential changes in neurons promise to revolutionize our ability to dissect the activity of individual cells embedded in neural circuits underlying behavior and sensation. A number of voltage imaging strategies have emerged in the past few years. This Perspective discusses developments in both small-molecule and genetically encoded fluorescent indicators of membrane potential. We survey recent advances in small-molecule fluorescent indicators that rely on photoinduced electron transfer to sense voltage as well as refinements of voltage-sensitive fluorescent proteins and new opsin-based strategies for monitoring voltage changes. We compare the requirements of fluorescent voltage indicators to those for more canonical Ca2+ sensing as a way to illuminate the particular challenges associated with voltage imaging.

Visualization of stimulus-specific heterogeneous activation of individual vascular smooth muscle cells in aortic tissues.

Intercellular communication among autonomic nerves, endothelial cells (ECs), and vascular smooth muscle cells (VSMCs) plays a central role in an uninterrupted regulation of blood flow through vascular contractile machinery. Impairment of this communication is linked to development of vascular diseases such as hypertension, cerebral/coronary vasospasms, aortic aneurism, and erectile dysfunction. Although the basic concept of the communication as a whole has been studied, the spatiotemporal correlation of ECs/VSMCs in tissues at the cellular level is unknown. Here, we show a unique VSMC response to ECs during contraction and relaxation of isolated aorta tissues through visualization of spatiotemporal activation patterns of smooth muscle myosin II. ECs in the intimal layer dictate the stimulus-specific heterogeneous activation pattern of myosin II in VSMCs within distinct medial layers. Myosin light chain (MLC) phosphorylation (active form of myosin II) gradually increases towards outer layers (approximately threefold higher MLC phosphorylation at the outermost layer than that of the innermost layer), presumably by release of an intercellular messenger, nitric oxide (NO). Our study also demonstrates that the MLC phosphorylation at the outermost layer in spontaneously hypertensive rats (SHR) during NO-induced relaxation is quite high and approximately 10-fold higher than that of its counterpart, the Wister-Kyoto rats (WKY), suggesting that the distinct pattern of myosin II activation within tissues is important for vascular protection against elevated blood pressure.

Abstract 880: A computational and statistical approach for interpreting real-time in-vitro gene reporter data

Abstract We have developed a new computational approach to track and analyze data from cells engineered with fluorescent cell cycle gene reporters. Gene reporters are a rapidly growing tool to gather information captured with time-lapse imaging, and can give insights to real-time metabolic conditions, cell cycle state, cancer stem cell state, and many other applications. Gene reporters may reflect cellular conditions that are cyclical rather than monotonic. Currently, the primary mechanism for interpretation of time lapse gene reporter data is reporting the mean fluorescence of images over time. This simplistic analysis discards information such as the cycle length and variation between of gene reporters between cells, and can be biased due to the overall fluorescence shift from population growth. More nuanced data acquisition and analysis approaches have been limited due to requirement of laborious hand-on data analysis. We have implemented a high-throughput computational pipeline for interpretation of cell cycle information using a combination of commercial and newly developed software to partition the activities of individual cells. The fluorescence information for each cell is smoothed and the cycle states for each cell are assigned adaptively. Our approach captures and quantifies the total time each individual cell spends in each presumptive state, and then analyses state information from the cohort of observed cells using censored survival time data methods such as the Cox Proportional Hazards Model to account for cell death or movement out of the observed area. As a proof of concept for our pipeline, we engineered 3T3 fibroblast cells with a cell cycle reporter construct including mCherry-CDT1 and mVenous-p27K- reporters which can discriminate cells in G0 phase from G1 phase. We calculated the sample size required for statistical power of 80% to detect a hazard ratio (HR) of 0.8 between groups at α = 0.05 at 386 tracked cells per group. As our treatment model, we used the Protein Phosphatase 2A inhibitor Okadaic Acid (OA) an agent known to promote departure from G0. We captured a distinct total of 601 vehicle cells and 479 treatment cells in a 24 hour monitoring period with 20 minute capture intervals. We were able to discern subtle differences between control and treatment G0 time, including a subtle, statistically significant decrease in G0 time after treatment with OA (p=0.0166, HR = 0.84). Here we have developed a computational pipeline with the capability for high-throughput image-stack data processing and nuanced quantification. Our approach assigns cycling cell states adaptively and the time until each cell departs its current state is tallied and interpreted statistically with survival time statistical analysis. The cell-level analysis affords a high degree of statistical power to discriminate group differences. Our pipeline is highly adaptable and has a multitude of applications in cancer biology research. Citation Format: Alexander T. Pearson, Dan Sun, Zhengda Li, Jacques Nor, Qiong Yang, Laura Buttitta. A computational and statistical approach for interpreting real-time in-vitro gene reporter data [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 880. doi:10.1158/1538-7445.AM2017-880

Inferring single-cell behaviour from large-scale epithelial sheet migration patterns.

Cell migration plays an important role in a wide variety of biological processes and can incorporate both individual cell motion and collective behaviour. The emergent properties of collective migration are receiving increasing attention as collective motion's role in diseases such as metastatic cancer becomes clear. Yet, how individual cell behaviour influences large-scale, multi-cell collective motion remains unclear. In this study, we provide insight into the mechanisms behind collective migration by studying cell migration in a spreading monolayer of epithelial MCF10A cells. We quantify migration using particle image velocimetry and find that cell groups have features of motion that span multiple length scales. Comparing our experimental results to a model of collective cell migration, we find that cell migration within the monolayer can be affected in qualitatively different ways by cell motion at the boundary, yet it is not necessary to introduce leader cells at the boundary or specify other large-scale features to recapitulate this large-scale phenotype in simulations. Instead, in our model, collective motion can be enhanced by increasing the overall activity of the cells or by giving the cells a stronger coupling between their motion and polarity. This suggests that investigating the activity and polarity persistence of individual cells will add insight into the collective migration phenotypes observed during development and disease.

Nuclear-Shell Biopolymers Initiated by Telomere Elongation for Individual Cancer Cell Imaging and Drug Delivery.

Here, we propose a strategy for unique nuclear-shell biopolymers initiated by telomere elongation for telomerase activity detection and precise drug delivery to individual cancer cells. Telomerase-triggered DNA rolling-circle amplification (RCA) is used to assemble nuclear-shell biopolymers with signal molecules for selective cancer cell recognition and efficient drug delivery to targeted individual cells. This strategy not only should allow the creation of clustered 5-carboxyfluorescein (FAM)-fluorescence spots in response to human-telomerase activity in individual cancer cells but also could efficiently deliver drugs to reduce the undesired death of healthy cells. These findings offer new opportunities to improve the efficacy of cancer cell imaging and therapy.