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Updated: May 9, 2026

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
Published on: January 10, 2019
Lineages, cell types and functional states: a genomic view.
Renato Ostuni1, Gioacchino Natoli
1Department of Experimental Oncology, European Institute of Oncology (IEO), Via Adamello 16, 20139 Milan, Italy.
Current Opinion in Cell Biology
|August 3, 2013
Summary
Cellular differentiation involves transcription factors (TFs) and environmental cues. A new model explains how TFs establish shared regulatory landscapes then refine them for specific cell types.
Area of Science:
- Molecular Biology
- Developmental Biology
- Genomics
Background:
- Cellular differentiation is a complex process guided by transcription factors (TFs) and micro-environmental signals.
- These factors orchestrate gene expression by regulating cis-regulatory elements, leading to distinct cell functions.
- Environmental changes can further modify these states, creating transient or persistent cellular phenotypes.
Purpose of the Study:
- To propose a mechanistic model for terminal differentiation based on genomic and functional data.
- To elucidate the roles of cell-autonomous and micro-environment regulated TFs in specifying cell transcriptional programs.
- To explain how regulatory landscapes evolve during differentiation.
Main Methods:
- Rationalization of existing genomic and functional data.
- Development of a mechanistic model for transcriptional regulation during differentiation.
- Analysis of TF interplay and cis-regulatory element dynamics.
Main Results:
- Terminal differentiation involves establishing a broad regulatory landscape shared across a lineage.
- This is followed by selective activation of specific regulatory elements for unique cell types.
- The model highlights the complex, multi-variant interplay between different types of TFs.
Conclusions:
- Differentiation proceeds through a two-stage regulatory landscape establishment.
- TF collaboration and environmental interactions are crucial for cell-type specificity.
- The proposed model provides a framework for understanding differentiation dynamics.
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