Evaluation of reference genes for studies of gene expression in human adipose tissue.
Artikel i vetenskaplig tidskrift, 2005
OBJECTIVE: The aim of this study was to evaluate reference genes for expression studies of human adipose tissue. RESEARCH METHODS AND PROCEDURES: Using 52 human adipose tissue expression profiles (HU95), 10 putative reference genes with the lowest variation in expression levels were selected for further studies. Expression stability of these 10 novel and 5 previously established reference genes was evaluated by real-time reverse transcriptase-polymerase chain reaction analysis. For this purpose, 44 adipose tissue biopsies from 27 subjects were chosen to include a wide range of parameters such as sex, age, BMI, depot origin, biopsy procedure, and effects of nutrition. RESULTS: LRP10 was identified as the gene with the least variation in expression levels. The frequently used reference genes RPLP0, 18S rRNA, PPIA, ACTB, and GAPD were ranked as 4, 6, 7, 8, and 10, respectively. DISCUSSION: Our results suggest that LRP10 is a better choice as reference for expression studies of human adipose tissue compared with the most frequently used reference genes.
genetics
Male
Adipose Tissue
Aging
methods
Membrane Transport Proteins
Humans
Adult
Receptors
LDL
Body Mass Index
Reverse Transcriptase Polymerase Chain Reaction
genetics
Female
Gene Expression
LDL-Receptor Related Proteins
Sex Characteristics
Middle Aged
metabolism
Gene Expression Profiling
Oligonucleotide Array Sequence Analysis
Biopsy
Författare
Britt Gabrielsson
Göteborgs universitet
Louise Olofsson
Göteborgs universitet
Anders Sjögren
Göteborgs universitet
Chalmers, Matematiska vetenskaper, Matematisk statistik
Margareta Jernås
Göteborgs universitet
Anna Elander
Göteborgs universitet
Malin Lönn
Göteborgs universitet
Mats Rudemo
Chalmers, Matematiska vetenskaper, Matematisk statistik
Göteborgs universitet
Lena M S Carlsson
Göteborgs universitet
Obesity Research
1071-7323 (ISSN) 1550-8528 (eISSN)
Vol. 13 4 649-52Ämneskategorier
Endokrinologi och diabetes
Fysiologi
Medicinsk genetik
PubMed
15897472