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- Multicellular organisms are composed of diverse cell types that must coordinate their behaviors through communication. Cell–cell communication (CCC) is essential for growth, development, differentiation, tissue and organ formation, maintenance, and physiological regulation.
www.nature.com/articles/s41392-024-01888-z - People also ask
Comparative analysis of cell–cell communication at single-cell ...
May 11, 2023 · We use multiple published atlas-scale datasets, genetic perturbation screens and direct experimental validation to show that Scriabin accurately recovers expected cell–cell communication...
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Metrics - Comparative analysis of cell–cell communication at single-cell ...
Extended Data Fig. 7 scRN…
Extended Data Fig. 7 scRNA-seq Dataset of SARS-CoV-2 Infected HBECs - …
Extended Data Fig. 10 Robu…
Extended Data Fig. 10 Robustness Analysis of Scriabin's Binning Workflow - …
Extended Data Fig. 6 Co-ex…
Extended Data Fig. 6 Co-expressed Interaction Programs in Intestinal …
Extended Data Fig. 8 Param…
Extended Data Fig. 8 Parameter Tuning for Ligand Activity Ranking and Interaction …
Extended Data Fig. 9 Highl…
Extended Data Fig. 9 Highly Perturbed Samples Require a Higher Degree of …
Extended Data Fig. 2 Comp…
Extended Data Fig. 2 Comparison of Scriabin to Agglomerative CCC Analysis …
Extended Data Fig. 4 Analys…
Extended Data Fig. 4 Analysis of CCC Between Cd40lg Transfected NK Cells …
Inference and analysis of cell-cell communication using CellChat
Feb 17, 2021 · Understanding global communications among cells requires accurate representation of cell-cell signaling links and effective systems-level analyses of those links. …
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CellChat for systematic analysis of cell–cell communication from …
Sep 16, 2024 · CellChat is a software package for systematic inference, quantitative analysis and intuitive visualization of cell–cell communication in an easily interpretable way from single-cell...
Inference and analysis of cell-cell communication using CellChat
Feb 17, 2021 · We construct a database of interactions among ligands, receptors and their cofactors that accurately represent known heteromeric molecular complexes. We then develop …
CellChat for systematic analysis of cell-cell communication
CellChat quantifies the signaling communication probability between two cell groups using a simplified mass-action-based model, which incorporates the core interaction between ligands …
CellChat for systematic analysis of cell-cell communication
Nov 5, 2023 · Here we provide a step-by-step protocol for using CellChat v2 that can be used for both scRNA-seq and spatially resolved transcriptomic data, including inference and analysis of …
Comparative analysis of cell-cell communication at single-cell ...
We use multiple published atlas-scale datasets, genetic perturbation screens and direct experimental validation to show that Scriabin accurately recovers expected cell-cell …
Cell-cell communication analysis for single-cell RNA sequencing …
Aug 1, 2022 · With ligand-receptor interaction databases and single-cell RNA sequencing (scRNA-seq) databases, we can detect intercellular signaling and reconstruct the cell–cell …
Comparison of methods and resources for cell-cell …
Multiple methods to infer cell-cell communication (CCC) from single cell data are currently available. Here, the authors systematically compare 16 CCC inference resources and 7 methods, and develop the LIANA framework as an interface …
The landscape of cell-cell communication through single-cell ...
With the emergence of single-cell transcriptomics, we are now able to examine the genetic profiles of individual cells at unprecedented scale and depth. The availability of such data …
CellCommuNet: an atlas of cell–cell communication networks …
CellCommuNet provides information on the strength of communication between cells and related signalling pathways and facilitates the exploration of differences in cell−cell communication …
Cell–cell communication: new insights and clinical implications
Aug 7, 2024 · Cell–cell communication (CCC) is essential for growth, development, differentiation, tissue and organ formation, maintenance, and physiological regulation. Cells communicate …
Methods to study cell-cell communication from single-cell …
Aug 29, 2023 · Current methods, instead, measure cell-cell communication as an inferred analysis. It is performed downstream from single-cell sequencing and spatial data, and uses …
Inference and analysis of cell-cell communication using CellChat
Jul 22, 2020 · Based on mass action models, we then developed CellChat, a tool that is able to quantitively infer and analyze intercellular communication networks from single-cell RNA …
scConnect: a method for exploratory analysis of cell–cell …
May 11, 2021 · We propose a method to predict the putative ligand–receptor interactions between cell types from single-cell RNA-sequencing data. This is achieved by inferring and …
The landscape of cell–cell communication through single-cell ...
Jun 1, 2021 · We review current methodologies that use non-spatial single-cell and spatial data. We propose several ways to advance current cell-cell communication inference. Cell–cell …
(PDF) CellChat for systematic analysis of cell-cell communication …
Nov 5, 2023 · Here we provide a step-by-step protocol for using CellChat v2 that can be used for both scRNA-seq and spatially resolved transcriptomic data, including inference and analysis of …
Deciphering cell–cell interactions and communication from gene ...
Nov 9, 2020 · Cell–cell interactions orchestrate organismal development, homeostasis and single-cell functions. When cells do not properly interact or improperly decode molecular messages, …
Single-cell and spatial transcriptomic profiling revealed niche ...
Jan 8, 2025 · Cell communication analysis. CellChat (version 2.1.0) 85 package was used to analyze the cellular communications. All cell groups and normalized gene expression data …
ICELLNET v2: a versatile method for cell-cell communication …
Mar 4, 2024 · Among them, ICELLNET is one of the few approaches to consider the multiple subunits of ligands and receptors complexes to infer and quantify cell communication. In here, …
Integration of unpaired single cell omics data by deep transfer …
4 days ago · Author summary Single-cell omics technologies have significantly advanced our ability to study biological systems at an unprecedented resolution and scale. However, …
CellMsg: graph convolutional networks for ligand-receptor …
Nov 22, 2024 · The role of cell-cell communications (CCCs) is increasingly recognized as being important to differentiation, invasion, metastasis, and drug resistance in tumoral tissues. ...
The endonuclease activity of MCPIP1 controls the neoplastic ...
5 days ago · The RNase activity of MCPIP1 is essential for regulating cellular homeostasis, proliferation, and tumorigenesis. Our study elucidates the effects of downregulation of MCPIP1 …
Comparative analysis of cell–cell communication at single-cell ...
We use multiple published atlas-scale datasets, genetic perturbation screens and direct experimental validation to show that Scriabin accurately recovers expected cell–cell …
Single-cell profiling transcriptomic reveals cellular ... - Nature
3 days ago · The cell-cell communication was analyzed using CellChat package. The biological function of cell subpopulations was analyzed using gene set variation analysis. The expression …
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