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Current Pharmacology Reports

, Volume 3, Issue 2, pp 68–76 | Cite as

Single-Cell Transcriptome Analysis of Neural Stem Cells

  • Ying Li
  • Jeremy Anderson
  • Kelvin Y. Kwan
  • Li CaiEmail author
Bioinformatics and Stem Cell (R Hart, Section Editor)
Part of the following topical collections:
  1. Topical Collection on Bioinformatics and Stem Cell

Abstract

Neural stem cells (NSCs) in the adult central nervous system play essential roles in both normal homeostasis and repair of damaged tissue after injury. The study of adult NSCs is hampered by the heterogeneous NSC population. In this review, we describe recent progresses in using single-cell RNA-sequencing (scRNA-seq) technique for the investigation of NSCs. The first part of this review focuses on the scRNA-seq techniques and bioinformatic analysis. The second part emphasizes the applications of scRNA-seq analysis in NSC research. Finally, we discuss the challenges and future directions of scRNA-seq technique for both basic research and regenerative medicine.

Keywords

Neural stem cells Single-cell sequencing Transcriptome Bioinformatics Homeostasis Injury and diseases 

Notes

Acknowledgments

The work was supported in part by grants from the New Jersey Commission on Spinal Cord Research and Busch Biomedical Research.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that there is no conflict of interest.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Ying Li
    • 1
  • Jeremy Anderson
    • 1
  • Kelvin Y. Kwan
    • 2
  • Li Cai
    • 1
    Email author
  1. 1.Department of Biomedical EngineeringRutgers UniversityPiscatawayUSA
  2. 2.Department of Cell Biology & Neuroscience, Keck Center for Collaborative Research and Stem Cell Research CenterRutgers UniversityPiscatawayUSA

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