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Related Experiment Video

Updated: Feb 3, 2026

Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications

Isolation of Adipose Tissue Nuclei for Single-Cell Genomic Applications

Published on: June 12, 2020

From single cells to tissue self-organization.

Aline Xavier da Silveira Dos Santos¹, Prisca Liberali^1,2

¹Friedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland.

The FEBS Journal

|November 4, 2018

Summary

This summary is machine-generated.

Cellular self-organization and variability drive tissue development and homeostasis. Understanding these processes requires single-cell resolution to decode emergent multicellular dynamics across scales.

Keywords:

cell-to-cell variability crossing-scales technologies development emergent properties multicellularity organoids pattern formation regeneration self-organization symmetry-breaking

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Area of Science:

Developmental Biology
Systems Biology
Cellular Dynamics

Background:

Multicellular organisms rely on self-organization for development and tissue remodeling.
Cellular self-organization involves interpreting complex local environments through intrinsic and extrinsic cues.
Cell-to-cell variability, or noise, is crucial for population performance and tissue adaptability.

Purpose of the Study:

To review the fundamental roles of self-organization and cell-to-cell variability in multicellularity.
To highlight the necessity of single-cell resolution for understanding these phenomena.
To analyze how single cells generate emergent multicellular dynamics across spatial, temporal, and functional scales.

Main Methods:

Literature review of self-organization and cell-to-cell variability in biological systems.
Analysis of molecular mechanisms for cellular environmental sensing and response.
Exploration of how single-cell behaviors scale to emergent tissue-level dynamics.

Main Results:

Self-organization enables cells to form higher-order structures and patterns.
Cell-to-cell variability enhances population performance and tissue homeostasis.
Single-cell resolution is essential for decoding the complex interplay of cues driving multicellular dynamics.

Conclusions:

Self-organization and cell-to-cell variability are fundamental to multicellular life.
Understanding emergent tissue-level phenomena requires a focus on individual cell behavior and interactions.
Future research should leverage single-cell technologies to further elucidate these processes.