Principles of neuroanatomical architecture supporting brain–immune cell–cell interactions

2020 ◽  
Vol 11 (1) ◽  
pp. 5-15 ◽  
Author(s):  
Atsuyoshi Shimada
Keyword(s):  
Immune Cell ◽  
Cell Interactions ◽  
Cell Cell

scholarly journals Detection of Cell-Cell Interactions via Photocatalytic Cell Tagging

2021 ◽  
Author(s):  
Rob C. Oslund ◽  
Tamara Reyes-Robles ◽  
Cory H. White ◽  
Jake H. Tomlinson ◽  
Kelly A. Crotty ◽  
...  
Keyword(s):  
Mononuclear Cells ◽  
Immune Cell ◽  
Cell Interactions ◽  
Cell Junction ◽  
Cellular Interactions ◽  
Single Domain Antibody ◽  
Peripheral Blood Mononuclear ◽  
Immune Synapse ◽  
Spatio Temporal ◽  
Cell Cell

AbstractCell-cell interactions drive essential biological processes critical to cell and tissue development, function, pathology, and disease outcome. The growing appreciation of immune cell interactions within disease environments has led to significant efforts to develop protein- and cell-based therapeutic strategies. A better understanding of these cell-cell interactions will enable the development of effective immunotherapies. However, characterizing these complex cellular interactions at molecular resolution in their native biological contexts remains challenging. To address this, we introduce photocatalytic cell tagging (PhoTag), a modality agnostic platform for profiling cell-cell interactions. Using photoactivatable flavin-based cofactors, we generate phenoxy radical tags for targeted labeling at the cell surface. Through various targeting modalities (e.g. MHC-Multimer, antibody, single domain antibody (VHH)) we deliver a flavin photocatalyst for cell tagging within monoculture, co-culture, and peripheral blood mononuclear cells. PhoTag enables highly selective tagging of the immune synapse between an immune cell and an antigen-presenting cell through targeted labeling at the cell-cell junction. This allowed for the ability to profile gene expression-level differences between interacting and bystander cell populations. Given the modality agnostic and spatio-temporal nature of PhoTag, we envision its broad utilization to detect and profile intercellular interactions within an immune synapse and other confined cellular regions for any biological system.

scholarly journals Orchestrating Lymphocyte Polarity in Cognate Immune Cell–Cell Interactions

2016 ◽  
pp. 195-261 ◽  
Author(s):  
E. Bustos-Morán ◽  
N. Blas-Rus ◽  
N.B. Martín-Cófreces ◽  
F. Sánchez-Madrid
Keyword(s):  
Immune Cell ◽  
Cell Interactions ◽  
Cell Cell

scholarly journals Microfluidic system-based time-course tracking of physical proximity between cells and its effect on gene expression for elucidating live single cancer-immune cell interactions

2021 ◽  
Author(s):  
Bianca C.T Flores ◽  
Smriti Chawla ◽  
Ning Ma ◽  
Chad Sanada ◽  
Praveen Kumar Kujur ◽  
...  
Keyword(s):  
Gene Expression ◽  
Time Course ◽  
Immune Cell ◽  
Cell Communication ◽  
Time Lapse ◽  
Cell Types ◽  
Temporal Variations ◽  
Microfluidic System ◽  
Cell Interactions ◽  
Cell Cell

Cell-cell communication and physical interactions play a vital role in cancer initiation, homeostasis, progression, and immune response. Here, we report a system that combines live capture of different cell types, co-incubation, time-lapse imaging, and gene expression profiling of doublets using a microfluidic integrated fluidic circuit (IFC) that enables measurement of physical distances between cells and the associated transcriptional profiles due to cell-cell interactions. The temporal variations in natural killer (NK) - triple-negative breast cancer (TNBC) cell distances were tracked and compared with terminally profiled cellular transcriptomes. The results showed the time-bound activities of regulatory modules and alluded to the existence of transcriptional memory. Our experimental and bioinformatic approaches serve as a proof of concept for interrogating live cell interactions at doublet resolution, which can be applied across different cancers and cell types.

scholarly journals Counterfactual Hypothesis Testing of Tumor Microenvironment Scenarios Through Semantic Image Synthesis

2020 ◽  
Author(s):  
Daniel Li ◽  
Qiang Ma ◽  
Jennifer Chen ◽  
Andrew Liu ◽  
Justin Cheung ◽  
...  
Keyword(s):  
Spatial Organization ◽  
Immune Cell ◽  
Image Synthesis ◽  
Cell Interaction ◽  
Cell Interactions ◽  
Generative Adversarial Network ◽  
Imaging Technologies ◽  
Multiple Imaging ◽  
Cell Cell

AbstractRecent multiplexed protein imaging technologies make it possible to characterize cells, their spatial organization, and interactions within microenvironments at unprecedented resolution. Although observational data can reveal spatial associations, it does not allow users to infer biologically causative relationships and interactions between cells. To address this challenge, we develop a generative model that allows users to test hypotheses about the effect of cell-cell interactions on protein expression through in silico perturbation. Our Cell-Cell Interaction GAN (CCIGAN) model employs a generative adversarial network (GAN) architecture to generate biologically realistic multiplexed cell images from semantic cell segmentations. Our approach is unique in considering all imaging channels simultaneously, and we show that it successfully captures known tumor-immune cell interactions missed by other state-of-the-art GAN models, and yields biological insights without requiring in vivo manipulation. CCIGAN accepts data from multiple imaging technologies and can infer interactions from single images in any health or disease context.

scholarly journals Investigating immune and non-immune cell interactions in head and neck tumors by single-cell RNA sequencing

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Cornelius H. L. Kürten ◽  
Aditi Kulkarni ◽  
Anthony R. Cillo ◽  
Patricia M. Santos ◽  
Anna K. Roble ◽  
...  
Keyword(s):  
Head And Neck ◽  
Single Cell ◽  
Rna Sequencing ◽  
Immune Cell ◽  
Cell Communication ◽  
Cell Interactions ◽  
Cell Populations ◽  
Hpv Status ◽  
Single Cell Rna Sequencing ◽  
Cell Cell

AbstractHead and neck squamous cell carcinoma (HNSCC) is characterized by complex relations between stromal, epithelial, and immune cells within the tumor microenvironment (TME). To enable the development of more efficacious therapies, we aim to study the heterogeneity, signatures of unique cell populations, and cell-cell interactions of non-immune and immune cell populations in 6 human papillomavirus (HPV)+ and 12 HPV– HNSCC patient tumor and matched peripheral blood specimens using single-cell RNA sequencing. Using this dataset of 134,606 cells, we show cell type-specific signatures associated with inflammation and HPV status, describe the negative prognostic value of fibroblasts with elastic differentiation specifically in the HPV+ TME, predict therapeutically targetable checkpoint receptor-ligand interactions, and show that tumor-associated macrophages are dominant contributors of PD-L1 and other immune checkpoint ligands in the TME. We present a comprehensive single-cell view of cell-intrinsic mechanisms and cell-cell communication shaping the HNSCC microenvironment.

scholarly journals Transfer of extracellular vesicles during immune cell-cell interactions

2012 ◽  
Vol 251 (1) ◽  
pp. 125-142 ◽  
Author(s):  
Cristina Gutiérrez-Vázquez ◽  
Carolina Villarroya-Beltri ◽  
María Mittelbrunn ◽  
Francisco Sánchez-Madrid
Keyword(s):  
Extracellular Vesicles ◽  
Immune Cell ◽  
Cell Interactions ◽  
Cell Cell

scholarly journals Microfluidic System-based Time-course Tracking of Physical Proximity Between Cells and Its Effect on Gene Expression for Elucidating Live Single Cancer-immune Cell Interactions

2021 ◽  
Author(s):  
Bianca Flores ◽  
Smriti Chawla ◽  
Ning Ma ◽  
Chad Sanada ◽  
Praveen Kujur ◽  
...  
Keyword(s):  
Gene Expression ◽  
Time Course ◽  
Immune Cell ◽  
Cell Communication ◽  
Time Lapse ◽  
Cell Types ◽  
Temporal Variations ◽  
Microfluidic System ◽  
Cell Interactions ◽  
Cell Cell

Abstract Cell-cell communication and physical interactions play a vital role in cancer initiation, homeostasis, progression, and immune response. Here, we report a system that combines live capture of different cell types, co-incubation, time-lapse imaging, and gene expression profiling of doublets using a microfluidic integrated fluidic circuit (IFC) that enables measurement of physical distances between cells and the associated transcriptional profiles due to cell-cell interactions. The temporal variations in natural killer (NK) - triple-negative breast cancer (TNBC) cell distances were tracked and compared with terminally profiled cellular transcriptomes. The results showed the time-bound activities of regulatory modules and alluded to the existence of transcriptional memory. Our experimental and bioinformatic approaches serve as a proof of concept for interrogating live cell interactions at doublet resolution, which can be applied across different cancers and cell types.

Cell-cell interactions in diabetic neuropathy

2007 ◽  
Vol 2 (S 1) ◽  
Author(s):  
I Lukic ◽  
S Stoyanov ◽  
A Erhardt ◽  
P Nawroth ◽  
A Bierhaus
Keyword(s):  
Diabetic Neuropathy ◽  
Cell Interactions ◽  
Cell Cell
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