Inflammation and Starvation Affect Housekeeping Gene Stability in Adipose Mesenchymal Stromal Cells.
Enrico RagniSimona PiccoloMichela TaianaCaterina VisconteGiulio GriecoLaura de GirolamoPublished in: Current issues in molecular biology (2024)
Due to the scientific success of in vitro and in vivo model studies, the interest in using mesenchymal stromal cells (MSCs) for the treatment of orthopaedic conditions is growing. In the context of osteoarthritis (OA), MSCs, and, in particular, those derived from adipose tissues (ASCs), have found broader access to clinical use as active components of minimally manipulated orthobiologics, as well as clinically expanded cell preparations, or to collect their released factors (secretome) for cell-free approaches. In this regard, while both inflammatory priming and starvation are common strategies used to empower cell potency or collect the secretome, respectively, little is known about the possible influence of these approaches on the stability of housekeeping genes (HKGs) for molecular studies able to fingerprint cell phenotype or potency. In this report, the reliability of five commonly used HKGs ( ACTB , B2M , GAPDH , HPRT1 and RPLP0 ) was tested in ASCs cultured under standard protocol after inflammatory priming or starvation. Gene expression data were computed with four different applets able to rank genes depending on their stability in either single or combined conditions. The obtained final ranking suggests that for each treatment, a specific HKG is needed, and that starvation is the condition with the stronger effect on HKGs' stability and, therefore, reliability. The normalization effect of proper HKGs' use was then validated on three genes involved in OA and whose product is released by ASCs. Overall, data presented herein confirm that the choice of the best HKG has to be carefully considered and that each specific condition has to be tested to identify the most reliable candidate.
Keyphrases
- gene expression
- single cell
- oxidative stress
- cell free
- cell therapy
- genome wide
- adipose tissue
- mesenchymal stem cells
- bone marrow
- insulin resistance
- knee osteoarthritis
- stem cells
- electronic health record
- genome wide identification
- machine learning
- transcription factor
- metabolic syndrome
- data analysis
- umbilical cord
- copy number
- genome wide analysis
- circulating tumor
- quality control