OBJECTIVE: We describe the methodology used to analyze multiple transcripts using microarray techniques in simultaneous biopsies of muscle, adipose tissue and lymphocytes obtained from the same individual as part of the standard protocol of the Genetics of Metabolic Diseases in Mexico: GEMM Family Study. METHODS: We recruited 4 healthy male subjects with BM1 20-41, who signed an informed consent letter. Subjects participated in a clinical examination that included anthropometric and body composition measurements, muscle biopsies (vastus lateralis) subcutaneous fat biopsies anda blood draw. All samples provided sufficient amplified RNA for microarray analysis. Total RNA was extracted from the biopsy samples and amplified for analysis. RESULTS: Of the 48,687 transcript targets queried, 39.4% were detectable in a least one of the studied tissues. Leptin was not detectable in lymphocytes, weakly expressed in muscle, but overexpressed and highly correlated with BMI in subcutaneous fat. Another example was GLUT4, which was detectable only in muscle and not correlated with BMI. Expression level concordance was 0.7 (p< 0.001) for the three tissues studied. CONCLUSIONS: We demonstrated the feasibility of carrying out simultaneous analysis of gene expression in multiple tissues, concordance of genetic expression in different tissues, and obtained confidence that this method corroborates the expected biological relationships among LEPand GLUT4. TheGEMM study will provide a broad and valuable overview on metabolic diseases, including obesity and type 2 diabetes.
OBJECTIVE: We describe the methodology used to analyze multiple transcripts using microarray techniques in simultaneous biopsies of muscle, adipose tissue and lymphocytes obtained from the same individual as part of the standard protocol of the Genetics of Metabolic Diseases in Mexico: GEMM Family Study. METHODS: We recruited 4 healthy male subjects with BM1 20-41, who signed an informed consent letter. Subjects participated in a clinical examination that included anthropometric and body composition measurements, muscle biopsies (vastus lateralis) subcutaneous fat biopsies anda blood draw. All samples provided sufficient amplified RNA for microarray analysis. Total RNA was extracted from the biopsy samples and amplified for analysis. RESULTS: Of the 48,687 transcript targets queried, 39.4% were detectable in a least one of the studied tissues. Leptin was not detectable in lymphocytes, weakly expressed in muscle, but overexpressed and highly correlated with BMI in subcutaneous fat. Another example was GLUT4, which was detectable only in muscle and not correlated with BMI. Expression level concordance was 0.7 (p< 0.001) for the three tissues studied. CONCLUSIONS: We demonstrated the feasibility of carrying out simultaneous analysis of gene expression in multiple tissues, concordance of genetic expression in different tissues, and obtained confidence that this method corroborates the expected biological relationships among LEPand GLUT4. TheGEMM study will provide a broad and valuable overview on metabolic diseases, including obesity and type 2 diabetes.
Authors: Raúl A Bastarrachea; Esther C Gallegos-Cabriales; Edna J Nava-González; Karin Haack; V Saroja Voruganti; Jac Charlesworth; Hugo A Laviada-Molina; Rosa A Veloz-Garza; Velia Margarita Cardenas-Villarreal; Salvador B Valdovinos-Chavez; Patricia Gomez-Aguilar; Guillermo Meléndez; Juan Carlos López-Alvarenga; Harald H H Göring; Shelley A Cole; John Blangero; Anthony G Comuzzie; Jack W Kent Journal: Adv Nutr Date: 2012-07-01 Impact factor: 8.701
Authors: Raul A Bastarrachea; Hugo A Laviada-Molina; Edna J Nava-Gonzalez; Irene Leal-Berumen; Claudia Escudero-Lourdes; Fabiola Escalante-Araiza; Vanessa-Giselle Peschard; Rosa A Veloz-Garza; Karin Haack; Angélica Martínez-Hernández; Francisco M Barajas-Olmos; Fernanda Molina-Segui; Fatima A Buenfil-Rello; Lucia Gonzalez-Ramirez; Reinhard Janssen-Aguilar; Ricardo Lopez-Muñoz; Fernanda Perez-Cetina; Janeth F Gaytan-Saucedo; Zoila Vaquera; Judith Cornejo-Barrera; Juan Carlos Castillo-Pineda; Areli Murillo-Ramirez; Sara P Diaz-Tena; Benigno Figueroa-Nuñez; Laura González-López; Rocío A Salinas-Osornio; Melesio E Valencia-Rendón; José Ángeles-Chimal; Jesús Santa-Olalla Tapia; José M Remes-Troche; Salvador B Valdovinos-Chavez; Eira E Huerta-Avila; Xianlin Han; Lorena Orozco; Ernesto Rodriguez-Ayala; Susan Weintraub; Esther C Gallegos-Cabrales; Shelley A Cole; Jack W Kent Journal: Genes (Basel) Date: 2018-11-02 Impact factor: 4.096