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Related Concept Videos

Applications of Stress01:04

Applications of Stress

Consider a structure made of a boom and a rod designed to support a load. These two components are connected by a pin and stabilized by brackets and pins. The boom and the rod are detached from their supports to assess the different stresses imposed on this structure, and a free-body diagram is drawn. Then, all the forces applied, including the load acting on the structure, are identified. The reaction forces exerted on both the boom and the rod are computed using the equilibrium equations.
The...

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Updated: May 14, 2026

Temporal Quantification of MAPK Induced Expression in Single Yeast Cells
07:59

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Published on: October 4, 2013

Mosaic: Single-Cell Atlas of Stress.

Edward Siler Monk1,2, Bianca Shieu1, Dhruvita Kumbhani1

  • 1School of Nursing, The University of Texas at San Antonio, San Antonio, TX 78229, USA.

Cells
|May 13, 2026
PubMed
Summary

Chronic stress significantly impacts health, leading to disorders. Advanced single-cell RNA sequencing reveals cellular details of stress responses, offering potential for new therapies.

Keywords:
acute/chronic stressbiomarkerscellular heterogeneitydementiadepressionhypothalamus–pituitary–adrenal axisomicssingle-cell analysistranscriptomic landscape

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Area of Science:

  • Neuroscience
  • Immunology
  • Endocrinology
  • Genomics

Background:

  • Stress is a pervasive health issue linked to chronic disorders.
  • The body's stress response, while adaptive, causes detrimental health effects when persistent.
  • Single-cell technologies are advancing our understanding of stress mechanisms.

Purpose of the Study:

  • To review recent studies on stress mechanisms using advanced technologies.
  • To classify stressors and analyze their impact across various biological systems.
  • To identify potential biomarkers and therapeutic targets for stress-related disorders.

Main Methods:

  • Comprehensive literature review of 80 studies.
  • Analysis of research utilizing single-cell RNA sequencing (scRNA-seq).
  • Bioinformatic analysis to identify cellular heterogeneity and gene expression patterns.

Main Results:

  • Stressors were categorized into acute/chronic physical, physiological, and psychological types.
  • scRNA-seq revealed transcriptomic landscapes and cellular heterogeneity in response to stress across multiple organ systems (nervous, endocrine, immune).
  • Bioinformatics identified stress-specific cell subtypes, cell-cell interactions, and enriched pathways, suggesting potential biomarkers.

Conclusions:

  • Single-cell analysis provides a detailed view of cellular responses to stress.
  • Findings highlight the potential for developing biomarkers and targeted therapies for stress syndromes.
  • Future multi-omics studies are recommended for a comprehensive understanding of stress disorders.