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What is JoVE Visualize?

  1. Home
  2. Research Domains
  • Biological Sciences
  • Biochemistry And Cell Biology
  • Signal Transduction
  • Signal transduction

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    Signal transduction is the process by which cells sense and respond to external signals through a series of molecular steps within the cell. This field is essential for understanding how biological systems regulate functions, adapt to their environment, and maintain homeostasis. As a core area within biochemistry and cell biology, signal transduction research explores pathway examples, mechanisms, and physiological impacts. JoVE Visualize enhances this understanding by pairing PubMed articles with detailed JoVE experiment videos, offering researchers and students a richer insight into the techniques and discoveries shaping the field.

    Key Methods & Emerging Trends

    Established Methods in Signal Transduction Research

    Core approaches in signal transduction studies include biochemical assays to track protein phosphorylation, Western blotting to analyze signal molecules, and imaging techniques like fluorescence microscopy to observe intracellular signaling events. Researchers often use reporter gene assays and co-immunoprecipitation to dissect interactions within signal transduction pathways. These methods provide foundational insights into signal transduction steps, mechanisms, and variations across different cell types and conditions.

    Innovative Approaches and Emerging Technologies

    Emerging methods in signal transduction research focus on high-throughput and single-cell analyses such as mass cytometry and advanced live-cell imaging, enhancing resolution of dynamic signaling processes. Recent developments also leverage optogenetics and CRISPR-based tools to precisely manipulate signaling components in real time. These technologies enable deeper exploration of signal transduction physiology, expanding on classic signal transduction pathway examples and offering fresh perspectives on types of signal transduction rarely captured by traditional techniques.

    Recently Published Articles

    |April 14, 2026

    Protein kinase C theta: evolution, regulation, and function

    Stefanie J Hodapp, Gerard Manning, Alexandra C Newton

    |April 14, 2026

    An Uncertainty-Aware Temporal Transformer for Probabilistic Interval Modeling in Wind Power Forecasting

    Shengshun Sun, Meitong Chen, Mafangzhou Mo, Xu Yan, Ziyu Xiong, Yang Hu, Yan Zhan

    |April 14, 2026

    CEA-DETR: A Multi-Scale Feature Fusion-Based Method for Wind Turbine Blade Surface Defect Detection

    Xudong Luo, Ruimin Wang, Jianhui Zhang, Junjie Zeng, Xiaohang Cai

    |April 14, 2026

    GA-SMOTE-RF Enhanced Kalman Filter with Adaptive Noise Reduction

    Yiming Wang, Hui Zou, Yuzhou Liu, Tianchang Qiao, Xinyuan Xu, Yihang Li, Changxun He, Shunv Zhou, Hanjie Wang, Qingqing Geng, Qiqi Song

    |April 14, 2026

    DFA-YOLO: Deformable Spatial Attention and Hierarchical Fusion for Robust Object Detection in Adverse Weather

    Lu Xie, Liwen Cheng

    |April 14, 2026

    Joint Optimization of Time Slot and Power Allocation in Underwater Acoustic Communication Networks

    Xuan Geng, Yongkang Hu

    |April 13, 2026

    WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series

    Arash Hajisafi, Maria Despoina Siampou, Bita Azarijoo, Zhen Xiong, Cyrus Shahabi

    |April 13, 2026

    MB-STFormer: A Multi-Band Spectral-Temporal Transformer with Efficient Attention for Enhanced EEG-Based Fatigue Detection

    Ke Liu, Lilong Sun, Wenlong Wang, Zhenghui Gu, Zhuliang Yu, Wei Wu

    Pageof 3,498