Selection and Validation of Reference Genes for Gene Expression Studies in an Equine Adipose-Derived Mesenchymal Stem Cell Differentiation Model by Proteome Analysis and Reverse-Transcriptase Quantitative Real-Time PCR.
Angela L RiverollSabrina Skyba-LewinK Devon LynnGlady's MubyeyiAhmad Abd-El-AzizFrederick S B KibengeMolly J T KibengeAlejandro M CohenBlanca Esparza-GonsalezLaurie Anne McDuffeeWilliam J MontelparePublished in: Genes (2023)
Adipose-derived stem cells (ADSCs) are used in tissue regeneration therapies. The objective of this study is to identify stable reference genes (RGs) for use in gene expression studies in a characterized equine adipose-derived mesenchymal stem cell (EADMSC) differentiation model. ADSCs were differentiated into adipocytes (ADs) or osteoblasts (OBs), and the proteomes from these cells were analyzed by liquid chromatography tandem mass spectrometry. Proteins that were stably expressed in all three cells types were identified, and the mRNA expression stabilities for their corresponding genes were validated by RT-qPCR. PPP6R1 , CCDC97 , and then either ACTB or EPHA2 demonstrated the most stable mRNA levels. Normalizing target gene C q data with at least three of these RGs simultaneously, as per MIQE guidelines ( PPP6R1 and CCDC97 with either ACTB or EPHA2 ), resulted in congruent conclusions. FABP5 expression was increased in ADs (5.99 and 8.00 fold, p = 0.00002 and p = 0.0003) and in OBs (5.18 and 5.91 fold, p = 0.0011 and p = 0.0023) relative to ADSCs. RUNX2 expression was slightly higher in ADs relative to ADSCs (1.97 and 2.65 fold, p = 0.04 and p = 0.01), but not in OBs (0.9 and 1.03 fold, p = 0.58 and p = 0.91).
Keyphrases
- gene expression
- liquid chromatography tandem mass spectrometry
- genome wide
- induced apoptosis
- mesenchymal stem cells
- poor prognosis
- genome wide identification
- dna methylation
- binding protein
- cell cycle arrest
- real time pcr
- bone marrow
- stem cells
- simultaneous determination
- adipose tissue
- transcription factor
- high resolution
- ms ms
- genome wide analysis
- pi k akt
- type diabetes
- umbilical cord
- data analysis