4.6 Article

Evaluating a Set of Reference Genes for Expression Normalization in Multiple Tissues and Skeletal Muscle at Different Development Stages in Pigs Using Quantitative Real-Time Polymerase Chain Reaction

Journal

DNA AND CELL BIOLOGY
Volume 31, Issue 1, Pages 106-113

Publisher

MARY ANN LIEBERT INC
DOI: 10.1089/dna.2011.1249

Keywords

-

Funding

  1. National Key Scientific Program [2009CB011600]
  2. National Natural Science Foundation of China [30830080]
  3. National Key Project [2008ZX08009-001]
  4. Science and Technology Innovation Team, Institute of Animal Science, Chinese Academy of Agricultural Science [ywf-td-1]

Ask authors/readers for more resources

Gene expression analysis requires the use of reference genes consistently expressed under various conditions. In many cases, however, the commonly used reference genes are not uniformly expressed independently of tissues or environmental conditions. To provide a set of reliable reference genes in pigs, we used quantitative polymerase chain reaction to examine expression of six common reference genes (GAPDH, ACTB, H3F3A, HPRT1, RPL32, and RPS18) in adult tissues and prenatal skeletal muscles at 33, 65, and 90 days postcopulation from Tongcheng (obese-type) and Landrace (lean-type) pigs. The expression stability of these reference genes was evaluated by NormFinder, BestKeeper, and geNorm methods. Our data suggest that the reference genes were expressed variably in different tissues, developmental stages and breeds. RPS18, PRL32, and H3F3A could be used as internal controls to normalize gene expression in pig tissues and developmental skeletal muscle. The combination of internal control genes was necessary for accurate expression normalization. During skeletal muscle development, H3F3A and RPS18 would be the most appropriate combination to normalize gene expression in Tongcheng pigs, whereas the combination of PRL32 and RPS18 would be more suitable in Landrace pigs. In different tissues, the expression of PRL32 and RPS18 was the most consistent, and the combination of three genes (RPL32, RPS18, and H3F3A) is the most suitable for accurate normalization.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available