Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Overview of Cell-Matrix Interactions01:24

Overview of Cell-Matrix Interactions

8.9K
The extracellular matrix or ECM holds cells together to form a tissue and allows the cells within the tissue to communicate. ECM comprises proteins such as fibronectin, collagen, laminin, etc. The most abundant protein in this space is collagen. Collagen fibers are interwoven with carbohydrate-containing protein molecules called proteoglycans. ECM allows cell migration and provides a structural scaffold at cell adhesion that anchors the cell when the extracellular matrix proteins interact with...
8.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Influence of food groups on plasma total homocysteine for specific MTHFR C677T genotypes in Chinese population.

Molecular nutrition & food research·2016
Same author

NIR Light Propulsive Janus-like Nanohybrids for Enhanced Photothermal Tumor Therapy.

Small (Weinheim an der Bergstrasse, Germany)·2016
Same author

Smart Hydrogels with Inhomogeneous Structures Assembled Using Nanoclay-Cross-Linked Hydrogel Subunits as Building Blocks.

ACS applied materials & interfaces·2016
Same author

Synergy between von Hippel-Lindau and P53 contributes to chemosensitivity of clear cell renal cell carcinoma.

Molecular medicine reports·2016
Same author

Aerobic Degradation of Sulfadiazine by Arthrobacter spp.: Kinetics, Pathways, and Genomic Characterization.

Environmental science & technology·2016
Same author

Downregulation of ClC-3 in dorsal root ganglia neurons contributes to mechanical hypersensitivity following peripheral nerve injury.

Neuropharmacology·2016
Same journal

AdaWGAN: Data Augmentation for Few-Shot HD-sEMG Gesture Recognition Using Single-Trial Data.

IEEE journal of biomedical and health informatics·2026
Same journal

NeuroBooster: a domain-informed self-supervised learning paradigm tailored for brain MRI analysis.

IEEE journal of biomedical and health informatics·2026
Same journal

Graph Convolutional Neural Network based Depression Detection using Brain Functional Connectivity Measures.

IEEE journal of biomedical and health informatics·2026
Same journal

Improving Multi-Sensor Non-Invasive Glucose Detection through AI: A Domain Generalization Approach.

IEEE journal of biomedical and health informatics·2026
Same journal

Unmixing the Neck: Accurate Jugular Venous Pulse Detection From Wearable PPG.

IEEE journal of biomedical and health informatics·2026
Same journal

AD-DAE: Alzheimer's Disease Progression Modeling with Unpaired Longitudinal MRI using Diffusion Auto-Encoders.

IEEE journal of biomedical and health informatics·2026
查看所有相关文章

相关实验视频

Updated: Jan 18, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

664

GCNLA:从空间转录学推断细胞与细胞的相互作用,使用长期短期记忆和图形卷积网络.

Chao Yang, Xiuhao Fu, Zhenjie Luo

    IEEE journal of biomedical and health informatics
    |May 22, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了GCNLA,一种新的图形卷积网络和长期短期记忆注意模块,用于绘制细胞-细胞通信的地图. GCNLA准确地推断相互作用和重建网络,改进空间转录学分析.

    更多相关视频

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    1.2K
    Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
    08:58

    Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing

    Published on: August 1, 2025

    2.8K

    相关实验视频

    Last Updated: Jan 18, 2026

    Mining Spatial Transcriptomics Datasets using DeepSpaceDB
    10:16

    Mining Spatial Transcriptomics Datasets using DeepSpaceDB

    Published on: September 5, 2025

    664
    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    1.2K
    Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
    08:58

    Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing

    Published on: August 1, 2025

    2.8K

    科学领域:

    • 基因组学就是基因组学.
    • 计算生物学 计算生物学
    • 生物信息学是一种生物信息学.

    背景情况:

    • 细胞与细胞之间的沟通对于生理恒温和复杂的生物过程至关重要.
    • 目前用于识别细胞与细胞相互作用的现有方法仅依靠邻近细胞的基因表达和空间数据而受到限制.
    • 空间转录学为研究各种生物组织提供了先进的工具.

    研究的目的:

    • 开发一种新的网络架构,GCNLA (图形卷积网络和长期短期记忆注意模块),用于增强细胞与细胞相互作用推断.
    • 为了捕捉空间结构和远处细胞之间的相互作用,克服当前方法的局限性.
    • 重建完整的细胞-细胞相互作用网络,并使下游分析,如细胞聚类.

    主要方法:

    • 拟议的GCNLA架构集成图形卷积,长短期记忆和注意力模块与剩余连接.
    • 利用内产品解码与共弦相似性来推断细胞与细胞的相互作用.
    • 将GCNLA应用于seqFISH和MERFISH数据集进行验证.

    主要成果:

    • GCNLA有效地学习空间细胞结构,并捕获远端细胞之间的相互作用信息.
    • 注意模块增强了细胞相互作用特征的提取.
    • 实验结果表明,与现有方法相比,GCNLA的强度和噪声免疫性优越.
    • GCNLA成功地重建了完整的细胞相互作用网络.

    结论:

    • GCNLA提供了一种强大而有效的方法,可以从空间转录组学数据中推断细胞与细胞之间的相互作用.
    • 该模型能够捕捉远程交互和重建网络的能力在该领域取得了进展.
    • 从GCNLA学到的特征有助于下游分析,包括空间细胞聚类和解决细胞异质性.