Evaluation of reference genes for studies of gene expression in human adipose tissue.
Journal article, 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
Author
Britt Gabrielsson
University of Gothenburg
Louise Olofsson
University of Gothenburg
Anders Sjögren
University of Gothenburg
Chalmers, Mathematical Sciences, Mathematical Statistics
Margareta Jernås
University of Gothenburg
Anna Elander
University of Gothenburg
Malin Lönn
University of Gothenburg
Mats Rudemo
Chalmers, Mathematical Sciences, Mathematical Statistics
University of Gothenburg
Lena M S Carlsson
University of Gothenburg
Obesity Research
1071-7323 (ISSN) 1550-8528 (eISSN)
Vol. 13 4 649-52Subject Categories
Endocrinology and Diabetes
Physiology
Medical Genetics
PubMed
15897472