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The impact of methodology on the reproducibility and rigor of DNA methylation data.
Boison, Detlev; Masino, Susan A; Lubin, Farah D; Guo, Kai; Lusardi, Theresa; Sanchez, Richard; Ruskin, David N; Ohm, Joyce; Geiger, Jonathan D; Hur, Junguk.
Afiliação
  • Boison D; Department of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, 08854, USA.
  • Masino SA; Department of Psychology and Neuroscience Program, Trinity College, Hartford, CT, 06106, USA.
  • Lubin FD; Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
  • Guo K; Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND, 58202, USA.
  • Lusardi T; Department of Neurology, University of Michigan, Ann Arbor, MI, 48109, USA.
  • Sanchez R; Knight Cancer Institute, Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, 97239, USA.
  • Ruskin DN; Dow Neurobiology Labs, Legacy Research Institute, Portland, OR, 97232, USA.
  • Ohm J; Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
  • Geiger JD; Division of Biological Sciences, Neurobiology Section, University of California San Diego, La Jolla, CA, 92093, USA.
  • Hur J; Department of Psychology and Neuroscience Program, Trinity College, Hartford, CT, 06106, USA.
Sci Rep ; 12(1): 380, 2022 01 10.
Article em En | MEDLINE | ID: mdl-35013473
ABSTRACT
Epigenetic modifications are crucial for normal development and implicated in disease pathogenesis. While epigenetics continues to be a burgeoning research area in neuroscience, unaddressed issues related to data reproducibility across laboratories remain. Separating meaningful experimental changes from background variability is a challenge in epigenomic studies. Here we show that seemingly minor experimental variations, even under normal baseline conditions, can have a significant impact on epigenome outcome measures and data interpretation. We examined genome-wide DNA methylation and gene expression profiles of hippocampal tissues from wild-type rats housed in three independent laboratories using nearly identical conditions. Reduced-representation bisulfite sequencing and RNA-seq respectively identified 3852 differentially methylated and 1075 differentially expressed genes between laboratories, even in the absence of experimental intervention. Difficult-to-match factors such as animal vendors and a subset of husbandry and tissue extraction procedures produced quantifiable variations between wild-type animals across the three laboratories. Our study demonstrates that seemingly minor experimental variations, even under normal baseline conditions, can have a significant impact on epigenome outcome measures and data interpretation. This is particularly meaningful for neurological studies in animal models, in which baseline parameters between experimental groups are difficult to control. To enhance scientific rigor, we conclude that strict adherence to protocols is necessary for the execution and interpretation of epigenetic studies and that protocol-sensitive epigenetic changes, amongst naive animals, may confound experimental results.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metilação de DNA / Epigênese Genética / Epigenômica / Epigenoma / Hipocampo Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metilação de DNA / Epigênese Genética / Epigenômica / Epigenoma / Hipocampo Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos