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Identifying suitable reference genes for developing and injured mouse CNS tissues.

Dongchao Xu1, Ajuan Liu1, Xuan Wang1

  • 1Institute of Life Sciences, Key Laboratory of Organ Development and Regeneration of Zhejiang Province, College of Life and Environment Sciences, Hangzhou Normal University, Zhejiang, 311121, China.

Developmental Neurobiology
|November 15, 2017
PubMed
Summary
This summary is machine-generated.

Accurate gene expression quantification in the central nervous system (CNS) requires stable reference genes. This study identified GUS and YWHAZ as the most reliable pair for normalizing gene expression data in developing mouse CNS tissues.

Keywords:
CNSdevelopmentinjuryreference genesstability

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Area of Science:

  • Neuroscience
  • Molecular Biology
  • Genetics

Background:

  • Accurate gene expression quantification is vital for understanding tissue development and diseases.
  • Quantitative real-time PCR (qPCR) is a widely used method for gene expression analysis.
  • Selecting appropriate reference genes is critical for accurate normalization in gene expression studies, especially in the central nervous system (CNS).

Purpose of the Study:

  • To determine the expression profiles of 12 candidate housekeeping genes in the developing mouse brain and spinal cord.
  • To identify the most stable reference genes for accurate gene expression normalization in CNS developmental studies.

Main Methods:

  • Expression profiles of 12 candidate housekeeping genes were analyzed in developing mouse brain and spinal cord.
  • Gene expression stability was evaluated using three software tools: BestKeeper, geNorm, and NormFinder.
  • Candidate genes included ACTB, CYC1, HMBS, GAPDH, HPRT1, RPL13A, YWHAZ, PPIA, RPLP0, TFRC, GUS, and 18S rRNA.

Main Results:

  • Significant fluctuations in expression levels were observed for most candidate genes throughout CNS development.
  • GUS was identified as the most stable single reference gene.
  • The combination of GUS and YWHAZ was found to be the most stable reference gene pair.
  • HPRT1 and GAPDH exhibited the highest variability and were deemed inappropriate for use as reference genes.

Conclusions:

  • GUS and YWHAZ are recommended as the optimal reference gene pair for normalizing gene expression data in studies of CNS development.
  • The findings highlight the importance of validating reference gene stability for accurate gene expression analysis in the CNS.