Temporal expression changes during differentiation of neural stem cells derived from mouse embryonic stem cell

Joon Ik Ahn, Ki Hwan Lee, Dong Mi Shin, Jae Won Shim, Chang Mee Kim, Hyun Kim, Sang Hun Lee, Yong Sung Lee

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


Temporal analysis in gene expression during differentiation of neural stem cells (NSCs) was performed by using in-house microarrays composed of 10,368 genes. The changes in mRNA level were measured during differentiation day 1, 2, 3, 6,12, and 15. Out of 10,368 genes analyzed, 259 genes were up-regulated or down-regulated by 2-fold or more at least at one time-point during differentiation, and were classified into six clusters based on their expression patterns by K-means clustering. Clusters characterized by gradual increase have large numbers of genes involved in transport and cell adhesion; those which showed gradual decrease have much of genes in nucleic acid metabolism, cell cycle, transcription factor, and RNA processing. In situ hybridization (ISH) validated microarray data and it also showed that Fox M1, cyclin D2, and CDK4 were highly expressed in CNS germinal zones and ectonucleotide pyrophosphatase/phosphodiesterase 2 (Enpp2) was highly expressed in choroid plexus where stem/progenitor cells are possibly located. Together, this clustering analysis of expression patterns of functionally classified genes may give insight into understanding of CNS development and mechanisms of NSCs proliferation and differentiation.

Original languageEnglish
Pages (from-to)563-578
Number of pages16
JournalJournal of cellular biochemistry
Issue number3
Publication statusPublished - 2004


  • Choroid plexus
  • Germinal zone
  • In situ hybridization
  • Microarray
  • Proliferation

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Cell Biology


Dive into the research topics of 'Temporal expression changes during differentiation of neural stem cells derived from mouse embryonic stem cell'. Together they form a unique fingerprint.

Cite this