Recent developments in application of single-cell RNA sequencing in the tumour immune microenvironment and cancer therapy
The advent of single-cell RNA sequencing (scRNA-seq) has provided insight into the tumour
immune microenvironment (TIME). This review focuses on the application of scRNA-seq in …
immune microenvironment (TIME). This review focuses on the application of scRNA-seq in …
The diversification of methods for studying cell–cell interactions and communication
No cell lives in a vacuum, and the molecular interactions between cells define most
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …
Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
Z Liu, D Sun, C Wang - Genome Biology, 2022 - Springer
Background Cell-cell interactions are important for information exchange between different
cells, which are the fundamental basis of many biological processes. Recent advances in …
cells, which are the fundamental basis of many biological processes. Recent advances in …
Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies
Carcinomas are complex ecosystems composed of cancer, stromal and immune cells.
Communication between these cells and their microenvironments induces cancer …
Communication between these cells and their microenvironments induces cancer …
A review of single-cell RNA-Seq annotation, integration, and cell–cell communication
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating
cellular biology at an unprecedented resolution, enabling the characterization of cellular …
cellular biology at an unprecedented resolution, enabling the characterization of cellular …
Biochemical analysis based on optical detection integrated microfluidic chip
YJ Wei, YN Zhao, X Zhang, X Wei, ML Chen… - TrAC Trends in …, 2023 - Elsevier
Nowadays, biochemical analysis such as cell analysis, disease diagnosis and treatment,
environmental monitoring and food safety are gaining increasing attention. Optically …
environmental monitoring and food safety are gaining increasing attention. Optically …
Identifying potential ligand–receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication …
Cell–cell communication is essential to many key biological processes. Intercellular
communication is generally mediated by ligand–receptor interactions (LRIs). Thus, building …
communication is generally mediated by ligand–receptor interactions (LRIs). Thus, building …
Mapping and validation of scRNA-seq-derived cell-cell communication networks in the tumor microenvironment
K Bridges, K Miller-Jensen - Frontiers in immunology, 2022 - frontiersin.org
Recent advances in single-cell technologies, particularly single-cell RNA-sequencing
(scRNA-seq), have permitted high throughput transcriptional profiling of a wide variety of …
(scRNA-seq), have permitted high throughput transcriptional profiling of a wide variety of …
Emergence of division of labor in tissues through cell interactions and spatial cues
Most cell types in multicellular organisms can perform multiple functions. However, not all
functions can be optimally performed simultaneously by the same cells. Functions …
functions can be optimally performed simultaneously by the same cells. Functions …
A systematic evaluation of the computational tools for ligand-receptor-based cell–cell interaction inference
Cell–cell interactions (CCIs) are essential for multicellular organisms to coordinate
biological processes and functions. One classical type of CCI interaction is between …
biological processes and functions. One classical type of CCI interaction is between …