Hi Eman,
Ideally, you should test a panel of candidate genes yourself and validate their stability across samples. There several straightforward excel applets to help with this: GeNorm, NormFinder and BestKeeper for example. Often, a combination of 2-3 genes gives the best estimate rather than using a single gene.
Take for example the study of Xiao et al.: Article Identification of reference genes in blood before and after ...
That said, you might find a study that sampled a population like your own. By serum I assume you mean excluding the leukocyte population? This could be quite heterogeneous depending on the abundance of vesicles but you might find suitable genes all the same. Probably miRNAs would be more suitable than long RNAs. There are examples of such genes in the literature, but ideally you'd like the authors' to have validated the stability of their gene(s).
Hi Eman
I hope this paper is useful
BW
Evaluation of candidate reference genes for RT-qPCR studies in three metabolism related tissues of mice after caloric restriction
Article Evaluation of candidate reference genes for RT-qPCR studies ...
- agreed
- It is context dependent so the most sensible advice would be to screen a panel of housekeeping genes including
- Gapdh
- b actin
- b tubulin
- b2 microglobulin
- Badges
- Science method