BACKGROUND: Gene expression studies conducted in post-mortem human brain samples have the potential to identify relevant genes implicated in psychiatric disorders. Although reverse transcription quantitative real-time PCR (RT-qPCR) has emerged as the method of choice for specific gene expression studies, it requires the use of stable reference genes, and it is necessary to control for pre- and post-mortem factors to obtain reliable data. OBJECTIVE: The aim of this study was to identify suitable reference genes and specimen characteristics that can be taken into account when comparing mRNA expression data between post-mortem brain specimens from psychiatric patients and controls. METHOD: We used a selection of suitably matched occipital cortex specimens from subjects in each of the following groups: schizophrenia (N = 15), bipolar disorder (N = 13), major depressive disorder (N = 15), and control (N = 15). Quantitative and qualitative RNA analyses were performed prior to RT-qPCR and gene expression stability was evaluated with geNorm and NormFinder. RESULTS: We identified GAPDH, RPS17, RPL30, RPLP0, and TFRC as potential reference genes from a sample plate containing 32 candidates commonly used as reference genes. Further analyses of these 5 genes highlighted that 1) they are suitable reference genes for RT-qPCR studies in these post-mortem brain samples from psychiatric patients, and 2) the RNA quality index is highly correlated with gene expression values (r = -0.681, p < 0.0001). CONCLUSIONS: In addition to controlling for pre- and post-mortem factors and selecting stable reference genes for normalization, sample sets should be matched with regard to RNA quality.
BACKGROUND: Gene expression studies conducted in post-mortem human brain samples have the potential to identify relevant genes implicated in psychiatric disorders. Although reverse transcription quantitative real-time PCR (RT-qPCR) has emerged as the method of choice for specific gene expression studies, it requires the use of stable reference genes, and it is necessary to control for pre- and post-mortem factors to obtain reliable data. OBJECTIVE: The aim of this study was to identify suitable reference genes and specimen characteristics that can be taken into account when comparing mRNA expression data between post-mortem brain specimens from psychiatricpatients and controls. METHOD: We used a selection of suitably matched occipital cortex specimens from subjects in each of the following groups: schizophrenia (N = 15), bipolar disorder (N = 13), major depressive disorder (N = 15), and control (N = 15). Quantitative and qualitative RNA analyses were performed prior to RT-qPCR and gene expression stability was evaluated with geNorm and NormFinder. RESULTS: We identified GAPDH, RPS17, RPL30, RPLP0, and TFRC as potential reference genes from a sample plate containing 32 candidates commonly used as reference genes. Further analyses of these 5 genes highlighted that 1) they are suitable reference genes for RT-qPCR studies in these post-mortem brain samples from psychiatricpatients, and 2) the RNA quality index is highly correlated with gene expression values (r = -0.681, p < 0.0001). CONCLUSIONS: In addition to controlling for pre- and post-mortem factors and selecting stable reference genes for normalization, sample sets should be matched with regard to RNA quality.
Authors: Douglas G Walker; Alexis M Whetzel; Geidy Serrano; Lucia I Sue; Lih-Fen Lue; Thomas G Beach Journal: Cell Tissue Bank Date: 2016-04-16 Impact factor: 1.522
Authors: Peter M Thompson; Dianne A Cruz; Elizabeth A Fucich; Dianna Y Olukotun; Masami Takahashi; Makoto Itakura Journal: Mol Neuropsychiatry Date: 2015-12-01
Authors: João Paulo Lopes Born; Heloisa de Carvalho Matos; Mykaella Andrade de Araujo; Olagide Wagner Castro; Marcelo Duzzioni; José Eduardo Peixoto-Santos; João Pereira Leite; Norberto Garcia-Cairasco; Maria Luisa Paçó-Larson; Daniel Leite Góes Gitaí Journal: PLoS One Date: 2017-08-04 Impact factor: 3.240
Authors: Yong-Jie Zhang; Karen Jansen-West; Ya-Fei Xu; Tania F Gendron; Kevin F Bieniek; Wen-Lang Lin; Hiroki Sasaguri; Thomas Caulfield; Jaime Hubbard; Lillian Daughrity; Jeannie Chew; Veronique V Belzil; Mercedes Prudencio; Jeannette N Stankowski; Monica Castanedes-Casey; Ena Whitelaw; Peter E A Ash; Michael DeTure; Rosa Rademakers; Kevin B Boylan; Dennis W Dickson; Leonard Petrucelli Journal: Acta Neuropathol Date: 2014-08-31 Impact factor: 17.088
Authors: Hye Jeong Kim; Jong In Na; Byung Woo Min; Joo Young Na; Kyung Hwa Lee; Jae Hyuk Lee; Young Jik Lee; Hyung Seok Kim; Jong Tae Park Journal: Korean J Pathol Date: 2014-06-26