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 …
Graph neural network approaches for single-cell data: a recent overview
Graph neural networks (GNNs) are reshaping our understanding of biomedicine and
diseases by revealing the deep connections among genes and cells. As both algorithmic …
diseases by revealing the deep connections among genes and cells. As both algorithmic …
Microglia-astrocyte crosstalk in the amyloid plaque niche of an Alzheimer's disease mouse model, as revealed by spatial transcriptomics
A Mallach, M Zielonka, V van Lieshout, Y An, JH Khoo… - Cell Reports, 2024 - cell.com
The amyloid plaque niche is a pivotal hallmark of Alzheimer's disease (AD). Here, we
employ two high-resolution spatial transcriptomics (ST) platforms, CosMx and Spatial …
employ two high-resolution spatial transcriptomics (ST) platforms, CosMx and Spatial …
Identification of ligand and receptor interactions in CKD and MASH through the integration of single cell and spatial transcriptomics
Background Chronic Kidney Disease (CKD) and Metabolic dysfunction-associated
steatohepatitis (MASH) are metabolic fibroinflammatory diseases. Combining single-cell …
steatohepatitis (MASH) are metabolic fibroinflammatory diseases. Combining single-cell …
All the single cells: single-cell transcriptomics/epigenomics experimental design and analysis considerations for glial biologists
KE Prater, KZ Lin - arXiv preprint arXiv:2408.06521, 2024 - arxiv.org
Single-cell transcriptomics, epigenomics, and other'omics applied at single-cell resolution
can significantly advance hypotheses and understanding of glial biology. Omics …
can significantly advance hypotheses and understanding of glial biology. Omics …