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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Understanding development and stem cells using single cell-based analyses of gene expression.

Pavithra Kumar¹, Yuqi Tan¹, Patrick Cahan²

¹Department of Biomedical Engineering, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Development (Cambridge, England)

|January 5, 2017

Summary

This summary is machine-generated.

Single-cell RNA sequencing reveals molecular programs driving development. This technology enables comprehensive cataloging of cell types and developmental dynamics in mammals, advancing stem cell biology research.

Keywords:

Computational biology Gene regulatory networks Pseudotime RNA-Seq Single cell Stem cells

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Area of Science:

Developmental biology
Genomics
Stem cell biology

Background:

Genome-wide profiling advances are uncovering developmental molecular programs.
Single-cell profiling offers a quantitative approach to cataloging cell diversity and dynamics.

Purpose of the Study:

To review insights from single-cell RNA sequencing in mammalian development and stem cell biology.
To emphasize analytical approaches for single-cell gene expression studies.

Main Methods:

Review of single-cell RNA sequencing (scRNA-seq) applications.
Analysis of gene expression data from individual cells.

Main Results:

scRNA-seq provides key insights into mammalian developmental processes.
scRNA-seq enables detailed cataloging of cell types and their dynamics.
Specific analytical methods are crucial for single-cell data interpretation.

Conclusions:

Single-cell RNA sequencing is a powerful tool for understanding developmental and stem cell biology.
Advancements in scRNA-seq and associated analytical methods are transforming the field.