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Cell Specific Gene Expression

Cell Specific Gene Expression

Cell Specific Gene Expression

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...

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Updated: Apr 1, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Defining cell types and states with single-cell genomics.

Cole Trapnell¹

¹Department of Genome Sciences, University of Washington, Seattle, Washington 98105, USA.

Genome Research

|October 3, 2015

Summary

Single-cell genomics and proteomics revolutionize cellular measurement, enabling discovery of new cell types and developmental pathways. This technology offers high-resolution insights into cell state transitions and plasticity.

Area of Science:

Cell Biology
Genomics
Proteomics

Background:

Traditional bulk cell measurements obscure individual cell states and developmental processes.
Understanding cellular plasticity and transitions between states has been a long-standing challenge.

Purpose of the Study:

To introduce the revolutionary potential of single-cell measurement technologies.
To highlight the ability to monitor global gene regulation in thousands of individual cells.
To explore the application of these technologies in discovering new cell types and tracing developmental origins.

Main Methods:

Single-cell genomics
Single-cell proteomics
High-resolution cellular measurement

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Last Updated: Apr 1, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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Published on: January 10, 2019

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

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Main Results:

Enables precise characterization of individual cell states.
Provides a high-resolution view of transitions between cellular states.
Facilitates the discovery of novel cell types and their developmental trajectories.

Conclusions:

Single-cell technologies overcome limitations of bulk measurements, offering unprecedented insights into cellular dynamics.
These technologies illuminate the molecular mechanisms underlying cellular plasticity, akin to navigating a developmental landscape.
While promising, single-cell genomics requires further experimental and computational advancements to reach its full potential.