Related Experiment Video
Updated: Jan 31, 2026

05:47
Phosphoproteomic Strategy for Profiling Osmotic Stress Signaling in Arabidopsis
Published on: June 25, 2020
5.7K
Protein Phase Separation as a Stress Survival Strategy
Titus M Franzmann1, Simon Alberti1
1Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany.
Cold Spring Harbor Perspectives in Biology
|January 9, 2019
Summary
Cells adapt to stress by forming protein condensates via phase separation. Prion-like domains act as sensors, regulating translation factors to promote survival in harsh conditions.
Area of Science:
- Cell biology
- Biochemistry
- Molecular biology
Background:
- Cells must adapt to environmental stress by altering physiology and metabolism.
- This adaptation involves down-regulating general gene expression and up-regulating protective factors like molecular chaperones.
Purpose of the Study:
- To investigate the role of phase separation in cellular stress adaptation.
- To explore how prion-like domains influence protein solubility and condensate formation under stress.
Main Methods:
- Review of recent findings on cellular stress response mechanisms.
- Analysis of the impact of physical-chemical parameters (temperature, pH) on protein solubility.
- Examination of the function of intrinsically disordered prion-like domains.
Main Results:
- Stress-induced changes in physical-chemical parameters alter the solubility of translation factors.
- These changes trigger phase separation, forming condensates that regulate translation factor activity.
- Prion-like domains function as environmentally regulated sensors modulating protein solubility and phase behavior.
Conclusions:
- Protein phase separation is a conserved mechanism cells use to adapt to stress.
- Condensate formation regulates cellular responses, enhancing fitness and survival.
- Prion-like domains are key regulators in stress-adaptive phase separation.
Related Concept Videos
Responses to Heat and Cold Stress
14.8K
Every organism has an optimum temperature range within which healthy growth and physiological functioning can occur. At the ends of this range, there will be a minimum and maximum temperature that interrupt biological processes.
14.8K
Phase Diagrams
50.1K
A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
50.1K
Survival Curves
710
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
710
Survival Tree
423
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
423
Introduction To Survival Analysis
783
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
783
Comparing the Survival Analysis of Two or More Groups
595
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
595

