AIMC Topic: Cell Communication
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Regulated Behavior in Living Cells with Highly Aligned Configurations on Nanowrinkled Graphene Oxide Substrates: Deep Learning Based on Interplay of Cellular Contact Guidance.
ACS nano
Dec 15, 2023
Micro-/nanotopographical cues have emerged as a practical and promising strategy for controlling cell fate and reprogramming, which play a key role as biophysical regulators in diverse cellular processes and behaviors. Extracellular biophysical facto...
Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images.
Nature communications
Dec 11, 2023
Recent advancements in tissue imaging techniques have facilitated the visualization and identification of various cell types within physiological and pathological contexts. Despite the emergence of cell-cell interaction studies, there is a lack of me...
Intravital microscopy visualizes innate immune crosstalk and function in tissue microenvironment.
European journal of immunology
Oct 19, 2023
Significant advances have been made in the field of intravital microscopy (IVM) on myeloid cells due to the growing number of validated fluorescent probes and reporter mice. IVM provides a visualization platform to directly observe cell behavior and ...
Brain-inspired neural circuit evolution for spiking neural networks.
Proceedings of the National Academy of Sciences of the United States of America
Sep 20, 2023
In biological neural systems, different neurons are capable of self-organizing to form different neural circuits for achieving a variety of cognitive functions. However, the current design paradigm of spiking neural networks is based on structures de...
Cell recognition based on atomic force microscopy and modified residual neural network.
Journal of structural biology
Jul 13, 2023
Cell recognition methods are in high demand in cell biology and medicine, and the method based on atomic force microscopy (AFM) shows a great value in application. The difference in mechanical properties or morphology of cells has been frequently use...
Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data.
Computers in biology and medicine
Jun 12, 2023
BACKGROUND: Cell-cell communication in a tumor microenvironment is vital to tumorigenesis, tumor progression and therapy. Intercellular communication inference helps understand molecular mechanisms of tumor growth, progression and metastasis.
scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs.
Cell systems
Feb 13, 2023
We present scTenifoldXct, a semi-supervised computational tool for detecting ligand-receptor (LR)-mediated cell-cell interactions and mapping cellular communication graphs. Our method is based on manifold alignment, using LR pairs as inter-data corre...
Droplets in underlying chemical communication recreate cell interaction behaviors.
Nature communications
Jun 1, 2022
The sensory-motor interaction is a hallmark of living systems. However, developing inanimate systems with "recognize and attack" abilities remains challenging. On the other hand, controlling the inter-droplet dynamics on surfaces is key in microengin...
Rapid video-based deep learning of cognate versus non-cognate T cell-dendritic cell interactions.
Scientific reports
Jan 11, 2022
Identification of cognate interactions between antigen-specific T cells and dendritic cells (DCs) is essential to understanding immunity and tolerance, and for developing therapies for cancer and autoimmune diseases. Conventional techniques for selec...
Manipulation of Multiple Cell-Cell Interactions by Tunable DNA Scaffold Networks.
Angewandte Chemie (International ed. in English)
Dec 23, 2021
Manipulation of cell-cell interactions via cell surface engineering has potential biomedical applications in tissue engineering and cell therapy. However, manipulation of the comprehensive and multiple intercellular interactions remains a challenge a...
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