Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Overview of Cell Signaling01:23

Overview of Cell Signaling

23.6K
Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
23.6K
Cell-surface Signaling01:21

Cell-surface Signaling

53.7K
Hormones—or any molecule that binds to a receptor, known as a ligand—that are lipid-insoluble (water-soluble) are not able to diffuse across the cell membrane. In order to be able to affect a cell without entering it, these hormones bind to receptors on the cell membrane. When a first messenger, a hormone, binds to a receptor, a signal cascade is set off, causing second messengers, proteins inside the cell, to become activated, resulting in downstream effects.
53.7K
Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

7.5K
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...
7.5K
Cell Signaling Feedback Loops01:07

Cell Signaling Feedback Loops

7.2K
Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
7.2K
What is Cell Signaling?02:03

What is Cell Signaling?

129.1K
Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate to respond to the environment.
129.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Imaging mass cytometry reveals functional and immunological changes during type 1 diabetes progression in human pancreata.

Nature metabolism·2026
Same author

Spatially-resolved single-cell imaging of melanoma brain metastases identifies localized immune patterns predictive of immune checkpoint blockade response.

Neuro-oncology·2026
Same author

Elemental Barcoding Beyond Optics: Metal-Isotopic Suspension Array for Emerging High-Throughput Diagnostics.

Accounts of chemical research·2026
Same author

Molecular and Immune Landscape of Recurrent and/or Distant Metastatic Squamous Cell Carcinoma of the Head and Neck: An EORTC/IMMUCAN Project.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Genomic and Immune Landscape of Recurrent and/or Metastatic Squamous Cell Carcinoma of the Head and Neck Progressing on Anti-PD-1 Treatment.

Cancer immunology research·2026
Same author

Compressed sensing expands the multiplexity of imaging mass cytometry.

Nature communications·2025

Related Experiment Video

Updated: Dec 27, 2025

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

7.0K

Profiling Cell Signaling Networks at Single-cell Resolution.

Xiao-Kang Lun1, Bernd Bodenmiller2

  • 1Institute of Molecular Life Sciences, University of Zürich, 8057 Zürich, Switzerland; Molecular Life Sciences PhD Program, Life Science Zürich Graduate School, ETH Zürich and University of Zürich, 8057 Zürich, Switzerland.

Molecular & Cellular Proteomics : MCP
|March 6, 2020
PubMed
Summary
This summary is machine-generated.

Single-cell signaling network profiling reveals cellular heterogeneity crucial for biological processes and disease. This review categorizes methods and computational tools for analyzing this critical cellular variation.

Keywords:
Signaling circuitsassay developmentpathway analysisphosphoproteomesingle-cell analysissystems biology

More Related Videos

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.5K
A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments
12:21

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

Published on: August 6, 2013

10.9K

Related Experiment Videos

Last Updated: Dec 27, 2025

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

7.0K
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.5K
A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments
12:21

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

Published on: August 6, 2013

10.9K

Area of Science:

  • Cellular biology
  • Systems biology
  • Biotechnology

Background:

  • Cellular signaling networks integrate internal and external cues to regulate cell function.
  • Dysregulation of these networks contributes to disease pathogenesis.
  • Cellular responses exhibit heterogeneity due to genetic and non-genetic variations, impacting processes like cell differentiation and drug resistance.

Purpose of the Study:

  • To review and categorize existing single-cell signaling network profiling technologies.
  • To discuss the advantages and limitations of various methodologies.
  • To highlight computational tools and potential challenges in single-cell signaling network analysis.

Main Methods:

  • Categorization of single-cell signaling network profiling approaches based on methodology and coverage.
  • Review of multiplexed single-cell measurement technologies.
  • Discussion of computational tools for network characterization.

Main Results:

  • Established single-cell signaling network profiling approaches are classified by their technical attributes.
  • The review details the strengths and weaknesses of different measurement technologies.
  • Available computational resources and analytical considerations are presented.

Conclusions:

  • Single-cell analysis is essential for understanding signaling network heterogeneity.
  • Technological advancements enable the evaluation of cellular variation.
  • Standardized approaches and computational tools are needed for robust single-cell signaling network characterization.