Integrative Biology最新文献

A critical phase of wound healing is the coordinated movement of keratinocytes. To this end, bioglasses show promise in speeding healing in hard tissues and skin wounds. Studies suggest that bioglass materials may promote wound healing by inducing positive cell responses in proliferation, growth factor production, expression of angiogenic factors, and migration. Precise details of how bioglass may stimulate migration are unclear, however, because the common assays for studying migration in wound healing focus on simplified outputs like rate of migration or total change in wound area. These outputs are limited in that they represent the average behavior of the collective, with no connection between the motion of the individual cells and the collective wound healing response. There is a need to apply more refined tools that identify how the motion of the individual cells changes in response to perturbations, such as by bioglass, and in turn affects motion of the cell collective. Here, we apply an integrative biology strategy that combines an in vitro wound healing assay using primary neonatal human keratinocytes with time lapse microscopy and quantitative image analysis. The resulting data set provides the cell velocity field, from which we define key metrics that describe cooperative migration phenotypes. Treatment with growth factors led to faster single-cell speeds compared to control, but the migration was not cooperative, with cells breaking away from their neighbors and migrating as individuals. Treatment with calcium or bioglass led to migration phenotypes that were highly collective, with greater coordination in space compared to control. We discuss the link between bioglass treatment and observed increases in free calcium ions that are hypothesized to promote these distinct coordinated behaviors in primary keratinocytes. These findings have been enabled by the unique descriptors developed through applying image analysis to interpret biological response in migration models. Insight Box/Paragraph Statement: Bioglasses are important materials for tissue engineering and have more recently shown promise in skin and wound healing by mechanisms tied to their unique ionic properties. The precise details, however, of how cell migration may be affected by bioglass are left unclear by traditional cell assay methods. The following describes the integration of migration assays of keratinocytes, cells critical for skin and wound healing, with the tools of time lapse microscopy and image analysis to generate a quantitative description of coordinated, tissue-like migration behavior, stimulated by bioglass, that would not have been accessible without the combination of these analytical tools.

Mechanical forces are of major importance in regulating vascular homeostasis by influencing endothelial cell behavior and functions. Adherens junctions are critical sites for mechanotransduction in endothelial cells. β-catenin, a component of adherens junctions and the canonical Wnt signaling pathway, plays a role in mechanoactivation. Evidence suggests that β-catenin is involved in flow sensing and responds to tensional forces, impacting junction dynamics. The mechanoregulation of β-catenin signaling is context-dependent, influenced by the type and duration of mechanical loads. In endothelial cells, β-catenin's nuclear translocation and signaling are influenced by shear stress and strain, affecting endothelial permeability. The study investigates how shear stress, strain, and surface topography impact adherens junction dynamics, regulate β-catenin localization, and influence endothelial barrier properties. Insight box Mechanical loads are potent regulators of endothelial functions through not completely elucidated mechanisms. Surface topography, wall shear stress and cyclic wall deformation contribute overlapping mechanical stimuli to which endothelial monolayer respond to adapt and maintain barrier functions. The use of custom developed flow chamber and bioreactor allows quantifying the response of mature human endothelial to well-defined wall shear stress and gradients of strain. Here, the mechanoregulation of β-catenin by substrate topography, wall shear stress, and cyclic stretch is analyzed and linked to the monolayer control of endothelial permeability.

Breast cancer, more prevalent in women, often arises due to abnormalities in the MRN-checkpoint sensor genes (MRN-CSG), responsible for DNA damage detection and repair. Abnormality in this complex is due to the suppression of various effectors such as siRNAs, miRNAs, and transcriptional factors responsible for breast tumor progression. This study analyzed breast tumor samples (n = 60) and identified four common miRNAs (miR-1-3p, miR-210-3p, miR-16-5p, miR-34a-5p) out of 12, exploring their interactions with MRN-CSG. The 3D structures of these miRNA-MRN-CSG complexes displayed strong thermodynamic stability. Screening 7711 natural compounds resulted in two natural compounds (F0870-0001 and F0922-0471) with the lowest ligand binding energies (ΔG = -8.4 to-11.6 kcal/mol), targeting two common miRNAs. Docking results showed that one natural compound (PubChem id-5 281 614) bound to all MRN-CSG components (ΔG = -6.2 to -7.3 kcal/mol), while F6782-0723 bound only to RAD50 and NBN. These compounds exhibited minimal dissociation constants (Kd and Ki) and thermodynamically stable minimum free energy (MMGBSA) values. Molecular dynamics simulations indicated highly stable natural compound-MRN-CSG complexes, with consistent RMSD, RMSF, and strong residual correlation. These top-selected compounds displayed robust intermolecular H-bonding, low carcinogenicity, low toxicity, and drug-like properties. Consequently, these compounds hold promise for regulating miRNA and MRN-CSG DNA repair mechanisms in breast cancer therapy. Insight Box: This study investigated breast tumor samples (n = 60) and identified four miRNAs (miR-1-3p, miR-210-3p, miR-16-5p, miR-34a-5p) that interact with MRN-checkpoint sensor genes (MRN-CSG), crucial for DNA damage repair. Screening 7711 natural compounds highlighted two compounds (F0870-0001 and F0922-0471) with the lowest binding energies (ΔG = -8.4 to -11.6 kcal/mol), targeting two common miRNAs (miR-1-3p and miR-34a-5p). Another natural compound (PubChem id-5 281 614, ΔG = -6.2 to -7.3 kcal/mol) bound all MRN-CSG components, while F6782-0723 targeted RAD50 and NBN. These compounds showed strong binding stability, favorable MMGBSA values, and minimal dissociation constants. Molecular dynamics simulations confirmed the stability and drug-like properties of these compounds, indicating their potential in breast cancer therapy by modulating miRNA and MRN-CSG DNA repair mechanisms.

Cosmic radiation, composed of high charge and energy (HZE) particles, causes cellular DNA damage that can result in cell death or mutation that can evolve into cancer. In this work, a cell death model is applied to several cell lines exposed to HZE ions spanning a broad range of linear energy transfer (LET) values. We hypothesize that chromatin movement leads to the clustering of multiple double strand breaks (DSB) within one radiation-induced foci (RIF). The survival probability of a cell population is determined by averaging the survival probabilities of individual cells, which is function of the number of pairwise DSB interactions within RIF. The simulation code RITCARD was used to compute DSB. Two clustering approaches were applied to determine the number of RIF per cell. RITCARD outputs were combined with experimental data from four normal human cell lines to derive the model parameters and expand its predictions in response to ions with LET ranging from ~0.2 keV/μm to ~3000 keV/μm. Spherical and ellipsoidal nuclear shapes and two ion beam orientations were modeled to assess the impact of geometrical properties on cell death. The calculated average number of RIF per cell reproduces the saturation trend for high doses and high-LET values that is usually experimentally observed. The cell survival model generates the recognizable bell shape of LET dependence for the relative biological effectiveness (RBE). At low LET, smaller nuclei have lower survival due to increased DNA density and DSB clustering. At high LET, nuclei with a smaller irradiation area-either because of a smaller size or a change in beam orientation-have a higher survival rate due to a change in the distribution of DSB/RIF per cell. If confirmed experimentally, the geometric characteristics of cells would become a significant factor in predicting radiation-induced biological effects. Insight Box: High-charge and energy (HZE) ions are characterized by dense linear energy transfer (LET) that induce unique spatial distributions of DNA damage in cell nuclei that result in a greater biological effect than sparsely ionizing radiation like X-rays. HZE ions are a prominent component of galactic cosmic ray exposure during human spaceflight and specific ions are being used for radiotherapy. Here, we model DNA damage clustering at sub-micrometer scale to predict cell survival. The model is in good agreement with experimental data for a broad range of LET. Notably, the model indicates that nuclear geometry and ion beam orientation affect DNA damage clustering, which reveals their possible role in mediating cell radiosensitivity.

Oxygen levels vary in the environment. Oxygen availability has a major effect on almost all organisms, and oxygen is far more than a substrate for energy production. However, less is known about related biological processes under hypoxic conditions and about the adaptations to changing oxygen concentrations. The yeast Saccharomyces cerevisiae can adapt its metabolism for growth under different oxygen concentrations and can grow even under anaerobic conditions. Therefore, we developed a microfluidic device that can generate serial, accurately controlled oxygen concentrations for single-cell studies of multiple yeast strains. This device can construct a broad range of oxygen concentrations, [O2] through on-chip gas-mixing channels from two gases fed to the inlets. Gas diffusion through thin polydimethylsiloxane (PDMS) can lead to the equilibration of [O2] in the medium in the cell culture layer under gas cover regions within 2 min. Here, we established six different and stable [O2] varying between ~0.1 and 20.9% in the corresponding layers of the device designed for multiple parallel single-cell culture of four different yeast strains. Using this device, the dynamic responses of different yeast transcription factors and metabolism-related proteins were studied when the [O2] decreased from 20.9% to serial hypoxic concentrations. We showed that different hypoxic conditions induced varying degrees of transcription factor responses and changes in respiratory metabolism levels. This device can also be used in studies of the aging and physiology of yeast under different oxygen conditions and can provide new insights into the relationship between oxygen and organisms. Integration, innovation and insight: Most living cells are sensitive to the oxygen concentration because they depend on oxygen for survival and proper cellular functions. Here, a composite microfluidic device was designed for yeast single-cell studies at a series of accurately controlled oxygen concentrations. Using this device, we studied the dynamic responses of various transcription factors and proteins to changes in the oxygen concentration. This study is the first to examine protein dynamics and temporal behaviors under different hypoxic conditions at the single yeast cell level, which may provide insights into the processes involved in yeast and even mammalian cells. This device also provides a base model that can be extended to oxygen-related biology and can acquire more information about the complex networks of organisms.

Efflux transporters are a fundamental component of both prokaryotic and eukaryotic cells, play a crucial role in maintaining cellular homeostasis, and represent a key bridge between single cell and population levels. From a biomedical perspective, they play a crucial role in drug resistance (and especially multi-drug resistance, MDR) in a range of systems spanning bacteria and human cancer cells. Typically, multiple efflux transporters are present in these cells, and the efflux transporters transport a range of substrates (with partially overlapping substrates between transporters). Furthermore, in the context of drug resistance, the levels of transporters may be elevated either due to extra or intracellular factors (feedforward regulation) or due to the drug itself (feedback regulation). As a consequence, there is a real need for a transparent systems-level understanding of the collective functioning of a set of transporters and their response to one or more drugs. We develop a systems framework for this purpose and examine the functioning of sets of transporters, their interplay with one or more drugs and their regulation (both feedforward and feedback). Using computational and analytical work, we obtain transparent insights into the systems level functioning of a set of transporters arising from the interplay between the multiplicity of drugs and transporters, different drug-transporter interaction parameters, sequestration and feedback and feedforward regulation. These insights transparently arising from the most basic consideration of a multiplicity of transporters have broad relevance in natural biology, biomedical engineering and synthetic biology. Insight, Innovation, Integration: Innovation: creating a structured systems framework for evaluating the impact of multiple transporters on drug efflux and drug resistance. Systematic analysis allows us to evaluate the effect of multiple transporters on one/more drugs, and dissect associated resistance mechanisms. Integration allows for elucidation of key cause-and-effect relationships and a transparent systems-level understanding of the collective functioning of transporters and their impact on resistance, revealing the interplay of key underlying factors. Systems-level insights include the essentially different behaviour of transporters as part of a group; unintuitive effects of influx; effects of elevated transporter-levels by feedforward and drug-induced mechanisms. Relevance: a systems understanding of efflux, their role in MDR, providing a framework/platform for use in designing treatment, and in synthetic biology design.

Recent findings in cancer research have pointed towards the bidirectional interaction between circadian and hypoxia pathways. However, little is known about their crosstalk mechanism. In this work, we aimed to investigate this crosstalk at a network level utilizing the omics information of gallbladder cancer. Differential gene expression and pathway enrichment analysis were used for selecting the crucial genes from both the pathways, followed by the construction of a logical crosstalk model using GINsim. Functional circuit identification and node perturbations were then performed. Significant node combinations were used to investigate the temporal behavior of the network through MaBoSS. Lastly, the model was validated using published in vitro experimentations. Four new positive circuits and a new axis viz. BMAL1/ HIF1αβ/ NANOG, responsible for stemness were identified. Through triple node perturbations viz.a. BMAL:CLOCK (KO or E1) + P53 (E1) + HIF1α (KO); b. P53 (E1) + HIF1α (KO) + MYC (E1); and c. HIF1α (KO) + MYC (E1) + EGFR (KO), the model was able to inhibit cancer growth and maintain a homeostatic condition. This work provides an architecture for drug simulation analysis to entrainment circadian rhythm and in vitro experiments for chronotherapy-related studies. Insight Box. Circadian rhythm and hypoxia are the key dysregulated processes which fuels-up the cancer growth. In the present work we have developed a gallbladder cancer (GBC) specific Boolean model, utilizing the RNASeq data from GBC dataset and tissue specific interactions. This work adequately models the bidirectional nature of interactions previously illustrated in experimental papers showing the effect of hypoxia on dysregulation of circadian rhythm and the influence of this disruption on progression towards metastasis. Through the dynamical study of the model and its response to different perturbations, we report novel triple node combinations that can be targeted to efficiently reduce GBC growth. This network can be used as a generalized framework to investigate different crosstalk pathways linked with cancer progression.

Diabetes is a rising global metabolic disorder and leads to long-term consequences. As a multifactorial disease, the gene-associated mechanisms are important to know. This study applied a bioinformatics approach to explore the molecular underpinning of type 2 diabetes mellitus through differential gene expression analysis. We used microarray datasets GSE16415 and GSE29226 to identify differentially expressed genes between type 2 diabetes and normal samples using R software. Following that, using the STRING database, the protein-protein interaction network was constructed and further analyzed by Cytoscape software. The EnrichR database was used for Gene Ontology and pathway enrichment analysis to explore key pathways and functional annotations of hub genes. We also used miRTarBase and TargetScan databases to predict miRNAs targeting hub genes. We identified 21 hub genes in type 2 diabetes, some showing more significant changes in the PPI network. Our results revealed that GLUL, SLC32A1, PC, MAPK10, MAPT, and POSTN genes are more important in the PPI network and can be experimentally investigated as therapeutic targets. Hsa-miR-492 and hsa-miR-16-5p are suggested for diagnosis and prognosis by targeting GLUL, SLC32A1, PC, MAPK10, and MAPT genes involved in the insulin signaling pathway. Insight: Type 2 diabetes, as a rising global and multifactorial disorder, is important to know the gene-associated mechanisms. In an integrative bioinformatics analysis, we integrated different finding datasets to put together and find valuable diagnostic and prognostic hub genes and miRNAs. In contrast, genes, RNAs, and enzymes interact systematically in pathways. Using multiple databases and software, we identified differential expression between hub genes of diabetes and normal samples. We explored different protein-protein interaction networks, gene ontology, key pathway analysis, and predicted miRNAs that target hub genes. This study reported 21 significant hub genes and some miRNAs in the insulin signaling pathway for innovative and potential diagnostic and therapeutic purposes.

Collective dynamics of cells in confined geometry regulate several biological processes including cell migration, proliferation, differentiation, and communication. In this work, combining simulation with experimental data, we studied the oscillatory motion of epithelial sheets in smaller areas of confinement, and we linked the monolayer maturation induced-jamming with the wave formation. We showed that epithelial cell populations with delayed jamming properties use the additional time available from this delay to coordinate their movement, generating wave motion in larger areas of confinement compared to control populations. Furthermore, the effects of combining geometric confinement with contact guiding micro-gratings on this wave formation were investigated. We demonstrated that collective migratory oscillations under large geometrical confinement depend on the jamming state of the cell monolayers. The early dynamical state of the experimental results obtained was simulated by self-propelled Voronoi computations, comparing cells with solid-like and fluid-like behavior. Together our model describes the wave formation under confinement and the nodal oscillatory dynamics of the early dynamic stage of the system. Insight Box: Collective behavior of cells in confined spaces impacts biological processes. Through experimental data combined with simulations, the oscillatory motion of epithelial sheets in small areas of confinement was described. A correlation between the level of cell jamming and the formation of waves was detected. Cell populations with delayed jamming presented wave motion in larger confinement areas. The effects of combining geometric confinement with substrate micro-gratings demonstrated that the collective migratory oscillations in large confinement areas rely on the jamming state of cells. The early dynamical state was simulated using self-propelled Voronoi computations that help to understand wave formation under confinement and the nodal oscillatory dynamics of early-stage systems.