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Related Concept Videos

Signal Transduction: Overview01:26

Signal Transduction: Overview

11.1K
Cells respond to many types of information, often through receptor proteins positioned on the membrane. They respond to chemical signals, such as hormones, neurotransmitters, and other signaling molecules, initiating a series of molecular reactions to produce an appropriate response. This is called signal transduction. Cells also coordinate different responses elicited by the same signaling molecule via mediators, allowing molecular cross-talk.
Typically, signal transduction involves three...
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Amplifying Signals via Enzymatic Cascade01:22

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When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze...
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Intracellular Signaling Cascades01:24

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Once a ligand binds to a receptor, the signal is transmitted through the membrane and into the cytoplasm. The continuation of a signal in this manner is called signal transduction. Signal transduction only occurs with cell-surface receptors, which cannot interact with most components of the cell, such as DNA. Only internal receptors can interact directly with DNA in the nucleus to initiate protein synthesis. When a ligand binds to its receptor, conformational changes occur that affect the...
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Amplifying Signals via Second Messengers01:15

Amplifying Signals via Second Messengers

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Many receptor binding ligands are hydrophilic; they do not cross the cell membrane but bind to cell-surface receptors. Thus, their message must be relayed by second messengers present in the cell cytoplasm. There are several second messenger pathways, each with its own way of relaying information. For example, the G protein-coupled receptors can activate both phosphoinositol and cyclic AMP (cAMP) second messenger pathways. The phosphoinositol pathway is active when the receptor induces...
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Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

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The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
Graded and Abrupt Responses
Some signaling systems generate...
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Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

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Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
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Related Experiment Video

Updated: Jan 4, 2026

Author Spotlight: Manipulating Signaling in Zebrafish Embryos to Decode Cell Fate Decisions
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Setting the standards for signal transduction research.

Julio Saez-Rodriguez1, Leonidas G Alexopoulos, Gustavo Stolovitzky

  • 1European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK.

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|February 18, 2011
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Summary

High-throughput technology and computational analysis advance signaling network research. Standardization is crucial for handling complex, diverse data in systems biology and mathematical modeling.

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Area of Science:

  • Biochemistry
  • Systems Biology
  • Bioinformatics

Background:

  • High-throughput technologies and computational methods offer new ways to study complex signaling networks.
  • The increasing volume and diversity of biological data necessitate streamlined data handling processes.

Purpose of the Study:

  • To provide an overview of current technologies for signal transduction research.
  • To highlight the challenges posed by data heterogeneity in systems-level analysis.
  • To emphasize the importance of standardization for data integration and mathematical modeling.

Main Methods:

  • Review of current high-throughput technologies for studying signal transduction.
  • Discussion of computational methods for systematic data analysis.
  • Analysis of data standardization needs and challenges.

Main Results:

  • Advances in technology and computation provide powerful tools for understanding signaling networks.
  • Data heterogeneity presents significant challenges for data handling and integration.
  • Standardization through markup languages and data annotation is essential for systems-level analysis.

Conclusions:

  • Efficient data standardization is critical for advancing systems-level analysis of signaling processes.
  • The signaling community's adoption of emerging standardization efforts will determine future progress.
  • Addressing data heterogeneity is key to fully leveraging new technologies in signal transduction research.