scholarly journals Distance-dependent adhesion of vascular cells on biofunctionalized nanostructures

2017 ◽  
Vol 3 (2) ◽  
pp. 683-686
Author(s):  
Sarah Biela ◽  
Britta Striegl ◽  
Kerstin Frey ◽  
Joachim P. Spatz ◽  
Ralf Kemkemer
Keyword(s):  
Extracellular Matrix ◽  
Vascular Tissue ◽  
Cell Types ◽  
Cell Interaction ◽  
Vascular Cells ◽  
Cellular Functions ◽  
Ligand Interaction ◽  
Nanostructured Surfaces ◽  
Peptide Motifs ◽  
Cell Cell

AbstractCell-cell and cell-extracellular matrix (ECM) adhesion regulates fundamental cellular functions and is crucial for cell-material contact. Adhesion is influenced by many factors like affinity and specificity of the receptor-ligand interaction or overall ligand concentration and density. To investigate molecular details of cell-ECM and cadherins (cell-cell) interaction in vascular cells functional nanostructured surfaces were used Ligand-functionalized gold nanoparticles (AuNPs) with 6-8 nm diameter, are precisely immobilized on a surface and separated by non-adhesive regions so that individual integrins or cadherins can specifically interact with the ligands on the AuNPs. Using 40 nm and 90 nm distances between the AuNPs and functionalized either with peptide motifs of the extracellular matrix (RGD or REDV) or vascular endothelial-cadherins (VEC), the influence of distance and ligand specificity on spreading and adhesion of endothelial cells (ECs) and smooth muscle cells (SMCs) was investigated. We demonstrate that RGD-dependent adhesion of vascular cells is similar to other cell types and that the distance dependence for integrin binding to ECM-peptides is also valid for the REDV motif. VEC-ligands decrease adhesion significantly on the tested ligand distances. These results may be helpful for future improvements in vascular tissue engineering and for development of implant surfaces.

scholarly journals Syntenin: PDZ Protein Regulating Signaling Pathways and Cellular Functions

2019 ◽  
Vol 20 (17) ◽  
pp. 4171 ◽  
Author(s):  
Tadayuki Shimada ◽  
Shin Yasuda ◽  
Hiroko Sugiura ◽  
Kanato Yamagata
Keyword(s):  
Cell Types ◽  
Pdz Domains ◽  
Cellular Functions ◽  
Peptide Motifs ◽  
Neuronal Synapses ◽  
Zonula Occludens ◽  
Exosome Biogenesis ◽  
Discs Large ◽  
Pdz Protein ◽  
Zonula Occludens 1

Syntenin is an adaptor-like molecule that has two adjacent tandem postsynaptic density protein 95/Discs large protein/Zonula occludens 1 (PDZ) domains. The PDZ domains of syntenin recognize multiple peptide motifs with low to moderate affinity. Many reports have indicated interactions between syntenin and a plethora of proteins. Through interactions with various proteins, syntenin regulates the architecture of the cell membrane. As a result, increases in syntenin levels induce the metastasis of tumor cells, protrusion along the neurite in neuronal cells, and exosome biogenesis in various cell types. Here, we review the updated data that support various roles for syntenin in the regulation of neuronal synapses, tumor cell invasion, and exosome control.

scholarly journals OOCHIP: Compartmentalized Microfluidic Perfusion System with Porous Barriers for Enhanced Cell–Cell Crosstalk in Organ-on-a-Chip

Micromachines ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 565
Author(s):  
Qasem Ramadan ◽  
Sajay Bhuvanendran Nair Gourikutty ◽  
Qingxin Zhang
Keyword(s):  
Drug Efficacy ◽  
Human Adipose Tissue ◽  
Cell Types ◽  
Cell Interaction ◽  
The Body ◽  
Close Proximity ◽  
Porous Barriers ◽  
Cell Cell

Improved in vitro models of human organs for predicting drug efficacy, interactions, and disease modelling are crucially needed to minimize the use of animal models, which inevitably display significant differences from the human disease state and metabolism. Inside the body, cells are organized either in direct contact or in close proximity to other cell types in a tightly controlled architecture that regulates tissue function. To emulate this cellular interface in vitro, an advanced cell culture system is required. In this paper, we describe a set of compartmentalized silicon-based microfluidic chips that enable co-culturing several types of cells in close proximity with enhanced cell–cell interaction. In vivo-like fluid flow into and/or from each compartment, as well as between adjacent compartments, is maintained by micro-engineered porous barriers. This porous structure provides a tool for mimicking the paracrine exchange between cells in the human body. As a demonstrating example, the microfluidic system was tested by culturing human adipose tissue that is infiltrated with immune cells to study the role if the interplay between the two cells in the context of type 2 diabetes. However, the system provides a platform technology for mimicking the structure and function of single- and multi-organ models, which could significantly narrow the gap between in vivo and in vitro conditions.

Cell Interaction by Multiplet sequencing (CIM-seq) v2

2021 ◽  
Author(s):  
Nathanael Andrews ◽  
Jason T. Serviss ◽  
Natalie Geyer (Karolinska Institute Stockholm) ◽  
Agneta B. Andersson ◽  
Ewa Dzwonkowska ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cell Types ◽  
Cell Interaction ◽  
Cell Interactions ◽  
Cell Type ◽  
Single Cell Sequencing ◽  
High Throughput Method ◽  
Dissociated Cells ◽  
Specific Tissue ◽  
Cell Cell

Single cell sequencing methods facilitate the study of tissues at high resolution, revealing rare cell types with varying transcriptomes or genomes, but so far have been lacking the capacity to investigate cell-cell interactions. Here, we introduce CIM-seq, an unsupervised and high-throughput method to analyze direct physical cell-cell interactions between every cell type in a given tissue. CIM-seq is based on RNA sequencing of incompletely dissociated cells, followed by computational deconvolution of these into their constituent cell types using machine learning. CIM-seq is broadly applicable to studies that aim to simultaneously investigate the constituent cell types and the global interaction profile in a specific tissue.

scholarly journals A Novel 3D Scaffold for Cell Growth to Asses Electroporation Efficacy

Cells ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1470 ◽  
Author(s):  
Dettin ◽  
Sieni ◽  
Zamuner ◽  
Marino ◽  
Sgarbossa ◽  
...  
Keyword(s):  
Extracellular Matrix ◽  
Cell Cultures ◽  
Three Dimensional ◽  
Cell Interaction ◽  
Growth Patterns ◽  
3D Scaffold ◽  
Electric Pulses ◽  
Breast Carcinoma Cell Lines ◽  
Cell Cell

Tumor electroporation (EP) refers to the permeabilization of the cell membrane by means of short electric pulses thus allowing the potentiation of chemotherapeutic drugs. Standard plate adhesion 2D cell cultures can simulate the in vivo environment only partially due to lack of cell–cell interaction and extracellular matrix (ECM). In this study, we assessed a novel 3D scaffold for cell cultures based on hyaluronic acid and ionic-complementary self-assembling peptides (SAPs), by studying the growth patterns of two different breast carcinoma cell lines (HCC1569 and MDA-MB231). This 3D scaffold modulates cell shape and induces extracellular matrix deposit around cells. In the MDA-MB 231 cell line, it allows three-dimensional growth of structures known as spheroids, while in HCC1569 it achieves a cell organization similar to that observed in vivo. Interestingly, we were able to visualize the electroporation effect on the cells seeded in the new scaffold by means of standard propidium iodide assay and fluorescence microscopy. Thanks to the presence of cell–cell and cell–ECM interactions, the new 3D scaffold may represent a more reliable support for EP studies than 2D cancer cell cultures and may be used to test new EP-delivered drugs and novel EP protocols.

scholarly journals Architecture and modular assembly of Sulfolobus S-layers revealed by electron cryo-tomography

2019 ◽  
Author(s):  
Lavinia Gambelli ◽  
Benjamin Meyer ◽  
Mathew McLaren ◽  
Kelly Sanders ◽  
Tessa E.F. Quax ◽  
...  
Keyword(s):  
Cell Shape ◽  
Mechanical Stability ◽  
Three Dimensional ◽  
Surface Protein ◽  
Cell Interaction ◽  
Surface Adhesion ◽  
Cellular Functions ◽  
Central Importance ◽  
Modular Assembly ◽  
Cell Cell

AbstractSurface protein layers (S-layers) often form the only structural component of the archaeal cell wall and are therefore important for cell survival. S-layers have a plethora of cellular functions including maintenance of cell shape, osmotic and mechanical stability, the formation of a semi-permeable protective barrier around the cell, cell-cell interaction, as well as surface adhesion. Despite the central importance of the S-layer for archaeal life, their three-dimensional architecture is still poorly understood. Here we present the first detailed 3D electron cryo-microscopy maps of archaeal S-layers from three different Sulfolobus strains. We were able to pinpoint the positions and determine the structure of the two subunits SlaA and SlaB. We also present a model describing the assembly of the mature S-layer.

Cell Interaction by Multiplet sequencing (CIM-seq) v1

2020 ◽  
Author(s):  
Nathanael Andrews ◽  
Jason T. Serviss ◽  
Natalie Geyer (Karolinska Institute Stockholm) ◽  
Agneta B. Andersson ◽  
Ewa Dzwonkowska ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cell Types ◽  
Cell Interaction ◽  
Cell Interactions ◽  
Cell Type ◽  
Single Cell Sequencing ◽  
High Throughput Method ◽  
Dissociated Cells ◽  
Specific Tissue ◽  
Cell Cell

Single cell sequencing methods facilitate the study of tissues at high resolution, revealing rare cell types with varying transcriptomes or genomes, but so far have been lacking the capacity to investigate cell-cell interactions. Here, we introduce CIM-seq, an unsupervised and high-throughput method to analyze direct physical cell-cell interactions between every cell type in a given tissue. CIM-seq is based on RNA sequencing of incompletely dissociated cells, followed by computational deconvolution of these into their constituent cell types using machine learning. CIM-seq is broadly applicable to studies that aim to simultaneously investigate the constituent cell types and the global interaction profile in a specific tissue.

scholarly journals Nano- and microstructured materials for in vitro studies of the physiology of vascular cells

2016 ◽  
Vol 7 ◽  
pp. 1620-1641 ◽  
Author(s):  
Alexandra M Greiner ◽  
Adria Sales ◽  
Hao Chen ◽  
Sarah A Biela ◽  
Dieter Kaufmann ◽  
...  
Keyword(s):  
Cell Biology ◽  
Materials Science ◽  
Cell Interaction ◽  
Culture Conditions ◽  
Vascular Cells ◽  
Vascular Cell ◽  
Nanostructured Surfaces ◽  
Cell Responses

The extracellular environment of vascular cells in vivo is complex in its chemical composition, physical properties, and architecture. Consequently, it has been a great challenge to study vascular cell responses in vitro, either to understand their interaction with their native environment or to investigate their interaction with artificial structures such as implant surfaces. New procedures and techniques from materials science to fabricate bio-scaffolds and surfaces have enabled novel studies of vascular cell responses under well-defined, controllable culture conditions. These advancements are paving the way for a deeper understanding of vascular cell biology and materials–cell interaction. Here, we review previous work focusing on the interaction of vascular smooth muscle cells (SMCs) and endothelial cells (ECs) with materials having micro- and nanostructured surfaces. We summarize fabrication techniques for surface topographies, materials, geometries, biochemical functionalization, and mechanical properties of such materials. Furthermore, various studies on vascular cell behavior and their biological responses to micro- and nanostructured surfaces are reviewed. Emphasis is given to studies of cell morphology and motility, cell proliferation, the cytoskeleton and cell-matrix adhesions, and signal transduction pathways of vascular cells. We finalize with a short outlook on potential interesting future studies.

scholarly journals Uncovering hypergraphs of cell-cell interaction from single cell RNA-sequencing data

2019 ◽  
Author(s):  
Koki Tsuyuzaki ◽  
Manabu Ishii ◽  
Itoshi Nikaido
Keyword(s):  
Single Cell ◽  
Rna Sequencing ◽  
Cell Types ◽  
Cell Interaction ◽  
Receptor Expression ◽  
Sequencing Data ◽  
Sequencing Technologies ◽  
Single Cell Rna Sequencing ◽  
Ligand Expression ◽  
Cell Cell

AbstractComplex biological systems can be described as a multitude of cell-cell interactions (CCIs). Recent single-cell RNA-sequencing technologies have enabled the detection of CCIs and related ligand-receptor (L-R) gene expression simultaneously. However, previous data analysis methods have focused on only one-to-one CCIs between two cell types. To also detect many-to-many CCIs, we proposescTensor, a novel method for extracting representative triadic relationships (hypergraphs), which include (i) ligand-expression, (ii) receptor-expression, and (iii) L-R pairs. When applied to simulated and empirical datasets,scTensorwas able to detect some hypergraphs including paracrine/autocrine CCI patterns, which cannot be detected by previous methods.

scholarly journals LR Hunting: A Random Forest Based Cell–Cell Interaction Discovery Method for Single-Cell Gene Expression Data

2021 ◽  
Vol 12 ◽  
Author(s):  
Min Lu ◽  
Yifan Sha ◽  
Tiago C. Silva ◽  
Antonio Colaprico ◽  
Xiaodian Sun ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Communication ◽  
Cell Types ◽  
Cell Interaction ◽  
Data Imputation ◽  
Novel Approach ◽  
Cell Gene Expression ◽  
Minimal Depth ◽  
Discovery Method ◽  
Cell Cell

Cell–cell interactions (CCIs) and cell–cell communication (CCC) are critical for maintaining complex biological systems. The availability of single-cell RNA sequencing (scRNA-seq) data opens new avenues for deciphering CCIs and CCCs through identifying ligand-receptor (LR) gene interactions between cells. However, most methods were developed to examine the LR interactions of individual pairs of genes. Here, we propose a novel approach named LR hunting which first uses random forests (RFs)-based data imputation technique to link the data between different cell types. To guarantee the robustness of the data imputation procedure, we repeat the computation procedures multiple times to generate aggregated imputed minimal depth index (IMDI). Next, we identify significant LR interactions among all combinations of LR pairs simultaneously using unsupervised RFs. We demonstrated LR hunting can recover biological meaningful CCIs using a mouse cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) dataset and a triple-negative breast cancer scRNA-seq dataset.

scholarly journals A strategy for tissue self-organization that is robust to cellular heterogeneity and plasticity

2015 ◽  
Vol 112 (7) ◽  
pp. 2287-2292 ◽  
Author(s):  
Alec E. Cerchiari ◽  
James C. Garbe ◽  
Noel Y. Jee ◽  
Michael E. Todhunter ◽  
Kyle E. Broaders ◽  
...  
Keyword(s):  
Mammary Gland ◽  
Cell Types ◽  
Cell Interaction ◽  
Cellular Heterogeneity ◽  
Self Organization ◽  
Cell Contact ◽  
Cell Type ◽  
Interfacial Energies ◽  
Cell Cell

Developing tissues contain motile populations of cells that can self-organize into spatially ordered tissues based on differences in their interfacial surface energies. However, it is unclear how self-organization by this mechanism remains robust when interfacial energies become heterogeneous in either time or space. The ducts and acini of the human mammary gland are prototypical heterogeneous and dynamic tissues comprising two concentrically arranged cell types. To investigate the consequences of cellular heterogeneity and plasticity on cell positioning in the mammary gland, we reconstituted its self-organization from aggregates of primary cells in vitro. We find that self-organization is dominated by the interfacial energy of the tissue–ECM boundary, rather than by differential homo- and heterotypic energies of cell–cell interaction. Surprisingly, interactions with the tissue–ECM boundary are binary, in that only one cell type interacts appreciably with the boundary. Using mathematical modeling and cell-type-specific knockdown of key regulators of cell–cell cohesion, we show that this strategy of self-organization is robust to severe perturbations affecting cell–cell contact formation. We also find that this mechanism of self-organization is conserved in the human prostate. Therefore, a binary interfacial interaction with the tissue boundary provides a flexible and generalizable strategy for forming and maintaining the structure of two-component tissues that exhibit abundant heterogeneity and plasticity. Our model also predicts that mutations affecting binary cell–ECM interactions are catastrophic and could contribute to loss of tissue architecture in diseases such as breast cancer.

Sign in / Sign up

Export Citation Format

Share Document