Engineering cooperative patterns in multi-species bacterial colonies

2019 ◽  
Author(s):  
A. I. Curatolo ◽  
N. Zhou ◽  
Y. Zhao ◽  
C. Liu ◽  
A. Daerr ◽  
...  

Self-organization is a hallmark of all living systems [1]. In particular, coordinated cellular behavior, commonly orchestrated at the population level through reciprocal interactions among different cell species [2–4], regulates the spatial arrangement of specialized cell types to generate tissue patterning and form complex body layouts [5, 6]. The overwhelming complexity of living systems, however, makes deciphering the underlying mechanisms difficult and limits our knowledge of basic pattern-forming mechanism in vivo [7, 8]. A successful strategy is then to work with synthetic, engineered systems, in which cellular interactions can be more easily tailored and studied [9–13]. Here, we demonstrate a simple mechanism through which different populations of cells can self-organize in periodic patterns. Programmed population interactions are shown to lead to coordinated out-ofphase spatial oscillations of two engineered populations of Escherichia coli. Using a combination of experimental and theoretical approaches, we show how such patterns arise autonomously from reciprocal density-dependent activation of cellular motility between the two species, without the need of any preexisting positional or orientational cues. Moreover, by re-designing the interaction, the original out-of-phase spatial oscillation rhythm of the two populations can be accordingly turned into in-phase oscillations. The robustness and versatility of the underlying pattern-formation process suggest that it could both be generically encountered in nature, for instance in the complex bacterial ecosystems found in biofilms [14–16], and used to promote the mixing or demixing of active particles in a controlled way.

Science ◽  
2012 ◽  
Vol 336 (6089) ◽  
pp. 1676-1681 ◽  
Author(s):  
Ronald N. Germain ◽  
Ellen A. Robey ◽  
Michael D. Cahalan

To mount an immune response, lymphocytes must recirculate between the blood and lymph nodes, recognize antigens upon contact with specialized presenting cells, proliferate to expand a small number of clonally relevant lymphocytes, differentiate to antibody-producing plasma cells or effector T cells, exit from lymph nodes, migrate to tissues, and engage in host-protective activities. All of these processes involve motility and cellular interactions—events that were hidden from view until recently. Introduced to immunology by three papers in this journal in 2002, in vivo live-cell imaging studies are revealing the behavior of cells mediating adaptive and innate immunity in diverse tissue environments, providing quantitative measurement of cellular motility, interactions, and response dynamics. Here, we review themes emerging from such studies and speculate on the future of immunoimaging.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 27-27
Author(s):  
Rong Lu ◽  
Agnieszka Czechowicz ◽  
Jun Seita ◽  
Irving L. Weissman

Abstract Abstract 27 Hematopoietic stem cells (HSCs) sustain the blood and immune systems through a complex differentiation process. This process involves several steps of lineage commitment and forms a paradigm for understanding cellular development, differentiation, and malignancy. While this step-wise differentiation has been extensively studied at the population level, little is known about the lineage commitment of individual HSC clones. The importance of understanding HSC differentiation at the clonal level has been raised by several recent studies suggesting that individual HSCs differentially contribute to various blood cell types and that the aggregate HSC differentiation at the population level is an amalgamation of the diverse lineage commitments of individual HSC clones. The distinct differentiation of individual HSCs may also be accentuated by their regulatory microenvironments, HSC niche. HSC niche may not affect all HSCs in an organism equally, and may instead act directly on resident HSC clones through direct contact or by tuning local cytokine concentrations. Knowledge of HSC clonal level lineage commitment will reveal new insights into HSC regulatory mechanisms and will improve our understanding of aging, immune deficiency, and many hematopoietic disorders involving an unbalanced hematopoietic system. Here, we provide a comprehensive map of in vivo HSC clonal development in mice. The clonal map was derived from the simultaneous tracking of hundreds of individual mouse HSCs in vivo using genetic barcodes. These unique barcodes were delivered into HSCs using a lentiviral vector to obtain a one-to-one mapping between barcodes and HSCs. Barcoded HSCs were then transplanted into recipient mice using standard procedures. Genetic barcodes from donor derived HSCs and their progenies were examined twenty-two weeks after transplantation using high-throughput sequencing. We found that the dominant differentiation of HSC clones is always present in pre-conditioned mice. In these recipients, a small fraction of engrafted HSCs become dominantly abundant at the intermediate progenitor stages, but not at the HSC stage. Thus, clonal dominance is a characteristic of HSC differentiation but not of HSC self-renewal. Additionally, the dominant differentiation of HSC clones exhibits distinct expansion patterns through various stages of hematopoiesis. We provide evidence that observed HSC lineage bias arises from dominant differentiation at distinct lineage commitment steps. In particular, myeloid bias arises from dominant differentiation at the first lineage commitment step from HSC to MPP, whereas lymphoid bias arises from dominant differentiation at the last lineage commitment step from CLP to B cells. We also show that dominant differentiation and lineage bias are interrelated and together delineate discrete HSC lineage commitment pathways. These pathways describe how individual HSC clones produce differential blood quantities and cell types. Multiple clonal differentiation pathways can coexist simultaneously in a single organism, and mutually compensate to sustain overall blood production. Thus, the distinct HSC differentiation characteristics uncovered by clonal analysis are not evident at the population level. We have also identified the lineage commitment profiles of HSC clones belonging to each pathway. These profiles elucidate the cellular proliferation and development of HSCs at the clonal level and demonstrate that distinct modes of HSC regulation exist in vivo. In summary, our in vivo clonal mapping reveals discrete clonal level HSC lineage commitment pathways. We have identified the cellular origins of clonal dominance and lineage bias, which may be the key hematopoietic stages where blood production and balance can be manipulated. These discoveries based on clonal level analysis are unexpected and unobtainable from conventional studies at the population level. Together, they open new avenues of research for studying hematopoiesis. Disclosures: No relevant conflicts of interest to declare.


2021 ◽  
Vol 30 (03) ◽  
pp. 211-221
Author(s):  
Marie-Therese Haider ◽  
Jennifer Zarrer ◽  
Daniel J. Smit ◽  
Eric Hesse ◽  
Hanna Taipaleenmäki

AbstractBone is the most common site of breast cancer recurrence. Despite the increasing knowledge about the metastatic process and treatment advances, the disease still remains incurable once the cancer cells actively proliferate in bone. Complex interactions between cancer cells and cells of the bone microenvironment (BME) regulate the initiation and progression of metastatic tumor growth in bone. In particular, breast cancer cells shift the otherwise tightly balanced bone remodeling towards increased bone resorption by osteoclasts. Cellular interactions in the metastatic BME are to a large extent regulated by secreted molecules. These include various cytokines as well as microRNAs (miRNAs), small non-coding RNAs that post transcriptionally regulate protein abundance in several cell types. Through this mechanism, miRNAs modulate physiological and pathological processes including bone remodeling, tumorigenesis and metastasis. Consequently, miRNAs have been identified as important regulators of cellular communication in the metastatic BME. Disruption of the crosstalk between cancer cells and the BME has emerged as a promising therapeutic target to prevent the establishment and progression of breast cancer bone metastasis. In this context, miRNA mimics or antagonists present innovative therapeutic approaches of high potential for interfering with pathological bone – cancer cell interactions. This review will discuss the role of miRNAs in the tumor-BME crosstalk in vivo and will emphasize how this could be targeted by miRNAs to improve therapeutic outcome for patients with breast cancer bone metastases.


2006 ◽  
Vol 73 (3) ◽  
pp. 699-705 ◽  
Author(s):  
Eric A. Nauman ◽  
C. Mark Ott ◽  
Ed Sander ◽  
Don L. Tucker ◽  
Duane Pierson ◽  
...  

ABSTRACT The response of microbes to changes in the mechanical force of fluid shear has important implications for pathogens, which experience wide fluctuations in fluid shear in vivo during infection. However, the majority of studies have not cultured microbes under physiological fluid shear conditions within a range commonly encountered by microbes during host-pathogen interactions. Here we describe a convenient batch culture biosystem in which (i) the levels of fluid shear force can be varied within physiologically relevant ranges and quantified via mathematical models and (ii) large numbers of cells can be planktonically grown and harvested to examine the effect of fluid shear levels on microbial genomic and phenotypic responses. A quantitative model based on numerical simulations and in situ imaging analysis was developed to calculate the fluid shear imparted by spherical beads of different sizes on bacterial cell cultures grown in a rotating wall vessel (RWV) bioreactor. To demonstrate the application of this model, we subjected cultures of the bacterial pathogen Salmonella enterica serovar Typhimurium to three physiologically-relevant fluid shear ranges during growth in the RVW and demonstrated a progressive relationship between the applied fluid shear and the bacterial genetic and phenotypic responses. By applying this model to different cell types, including other bacterial pathogens, entire classes of genes and proteins involved in cellular interactions may be discovered that have not previously been identified during growth under conventional culture conditions, leading to new targets for vaccine and therapeutic development.


2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Dwaipayan Mukherjee ◽  
Steven G. Royce ◽  
Srijata Sarkar ◽  
Andrew Thorley ◽  
Stephan Schwander ◽  
...  

Engineered nanoparticles (NPs) have been widely demonstrated to induce toxic effects to various cell types.In vitrocell exposure systems have high potential for reliable, high throughput screening of nanoparticle toxicity, allowing focusing on particular pathways while excluding unwanted effects due to other cells or tissue dosimetry. The work presented here involves a detailed biologically based computational model of cellular interactions with NPs; it utilizes measurements performed in human cell culture systemsin vitro, to develop a mechanistic mathematical model that can support analysis and prediction ofin vivoeffects of NPs. The model considers basic cellular mechanisms including proliferation, apoptosis, and production of cytokines in response to NPs. This new model is implemented for macrophages and parameterized usingin vitromeasurements of changes in cellular viability and mRNA levels of cytokines: TNF, IL-1b, IL-6, IL-8, and IL-10. The model includesin vitrocellular dosimetry due to nanoparticle transport and transformation. Furthermore, the model developed here optimizes the essential cellular parameters based onin vitromeasurements, and provides a “stepping stone” for the development of more advancedin vivomodels that will incorporate additional cellular and NP interactions.


2008 ◽  
Vol 14 (2) ◽  
pp. 117-125 ◽  
Author(s):  
Troy A. Baudino ◽  
Alex McFadden ◽  
Charity Fix ◽  
Joshua Hastings ◽  
Robert Price ◽  
...  

Patterning of cells is critical to the formation and function of the normal organ, and it appears to be dependent upon internal and external signals. Additionally, the formation of most tissues requires the interaction of several cell types. Indeed, both extracellular matrix (ECM) components and cellular components are necessary for three-dimensional (3-D) tissue formationin vitro. Using 3-D cultures we demonstrate that ECM arranged in an aligned fashion is necessary for the rod-shaped phenotype of the myocyte, and once this pattern is established, the myocytes were responsible for the alignment of any subsequent cell layers. This is analogous to thein vivopattern that is observed, where there appears to be minimal ECM signaling, rather formation of multicellular patterns is dependent upon cell–cell interactions. Our 3-D culture of myocytes and fibroblasts is significant in that it modelsin vivoorganization of cardiac tissue and can be used to investigate interactions between fibroblasts and myocytes. Furthermore, we used rotational cultures to examine cellular interactions. Using these systems, we demonstrate that specific connexins and cadherins are critical for cell–cell interactions. The data presented here document the feasibility of using these systems to investigate cellular interactions during normal growth and injury.


2003 ◽  
Vol 5 (1) ◽  
pp. 47-58 ◽  
Author(s):  
L. A. Bach ◽  
D. J. T. Sumpter ◽  
J. Alsner ◽  
V. Loeschcke

Evolutionary game models of cellular interactions have shown that heterogeneity in the cellular genotypic composition is maintained through evolution to stable coexistence of growth-promoting and non-promoting cell types. We generalise these mean-field models and relax the assumption of perfect mixing of cells by instead implementing an individual-based model that includes the stochastic and spatial effects likely to occur in tumours. The scope for coexistence of genotypic strategies changed with the inclusion of explicit space and stochasticity. The spatial models show some interesting deviations from their mean-field counterparts, for example the possibility of altruistic (paracrine) cell strategies to thrive. Such effects can however, be highly sensitive to model implementation and the more realistic models with semi-synchronous and stochastic updating do not show evolution of altruism. We do find some important and consistent differences between the spatial and mean-field models, in particular that the parameter regime for coexistence of growth-promoting and nonpromoting cell types is narrowed. For certain parameters in the model a selective collapse of a generic growth promoter occurs, hence the evolutionary dynamics mimics observablein vivotumour phenomena such as (therapy induced) relapse behaviour. Our modelling approach differs from many of those previously applied in understanding growth of cancerous tumours in that it attempts to account for natural selection at a cellular level. This study thus points a new direction towards more plausible spatial tumour modelling and the understanding of cancerous growth.


2021 ◽  
Author(s):  
Leigh Ann Kotze ◽  
Caroline G.G. Beltran ◽  
Dirk Lang ◽  
Andre G Loxton ◽  
Susan Cooper ◽  
...  

Tuberculous granulomas that develop in response to Mycobacterium tuberculosis (M.tb) infection are highly dynamic entities shaped by the host immune response and disease kinetics. Within this microenvironment, immune cell recruitment, polarization and activation is driven not only by co-existing cell types and multi-cellular interactions, but also by M.tb-mediated changes involving metabolic heterogeneity, epigenetic reprogramming and rewiring of the transcriptional landscape of host cells. There is an increased appreciation of the in vivo complexity, versatility and heterogeneity of the cellular compartment that constitutes the tuberculosis (TB) granuloma, and the difficulty in translating findings from animal models to human disease. Here we describe a novel biomimetic in vitro 3-dimentional (3D) human lung granuloma model, resembling early innate and adaptive stages of the TB granuloma spectrum, and present results of histological architecture, host transcriptional characterization, mycobacteriological features, cytokine profiles and spatial distribution of key immune cells. A range of manipulations of immune cell populations in these granulomas will allow the study of host/pathogen pathways involved in the outcome of infection, as well as pharmacological interventions.


2020 ◽  
Vol 22 (2) ◽  
pp. 211-216
Author(s):  
A. V. Moskalev ◽  
B. Y. Gumilevskiy ◽  
A. V. Apchel ◽  
V. N. Cygan

The basic physiological functions of stem cells are given: the ability to reproduce and generate offspring, which are manifested at the level of the population, and not of a single cell. The manifestation of these functions depends on the quantitative and qualitative composition of the microenvironment. Stem cells consist of two fundamentally different types: pluripotent, which exist only in vitro (in vitro) and tissue, existing in the postpartum body (in vivo). Stem cells can be replaced without limitation in vitro and lead to the appearance of a wide range of cell types. Tissue stem cells under normal conditions do not generate cells characteristic of other types of tissue. Stem cells include cells capable of expressing the gene products characteristic of them. However, there is no universal marker to differentiate stem cells from non-stem cells. A key marker of pluripotency is the transcription factor - a pituitary-specific transcription factor is positive. A component that can be found in almost all types of stem cells is the telomerase complex. Another stem cell marker is called CD34 glycoprotein. The functional activity of stem cells is associated with a molecular marker referred to as leucine-rich repeat containing G-protein bound to receptor 5. However, other types of cells do not express this marker. The physiological capabilities of stem cells depend both on the cells themselves and on their environment. The most reliable way to identify stem cells is to determine their phenotype in vivo. This suggests that stem cells do not carry a universal molecular marker. Most likely, they have significant differences from transplanted cells, and these differences cannot always be detected in individual cells, but only at the population level.


2018 ◽  
Author(s):  
Farzaneh Najafi ◽  
Gamaleldin F Elsayed ◽  
Robin Cao ◽  
Eftychios Pnevmatikakis ◽  
Peter E. Latham ◽  
...  

SummaryInhibitory neurons, which play a critical role in decision-making models, are often simplified as a single pool of non-selective neurons lacking connection specificity. This assumption is supported by observations in primary visual cortex: inhibitory neurons are broadly tuned in vivo, and show non-specific connectivity in slice. Selectivity of excitatory and inhibitory neurons within decision circuits, and hence the validity of decision-making models, is unknown. We simultaneously measured excitatory and inhibitory neurons in posterior parietal cortex of mice judging multisensory stimuli. Surprisingly, excitatory and inhibitory neurons were equally selective for the animal’s choice, both at the single cell and population level. Further, both cell types exhibited similar changes in selectivity and temporal dynamics during learning, paralleling behavioral improvements. These observations, combined with modeling, argue against circuit architectures assuming non-selective inhibitory neurons. Instead, they argue for selective subnetworks of inhibitory and excitatory neurons that are shaped by experience to support expert decision-making.


Sign in / Sign up

Export Citation Format

Share Document