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Optimization of a Method for the Simultaneous Extraction of Polar and Non-Polar Oxylipin Metabolites, DNA, RNA, Small RNA, and Protein from a Single Small Tissue Sample.
Hasegawa, Yu; Otoki, Yurika; McClorry, Shannon; Coates, Laurynne C; Lombardi, Rachel L; Taha, Ameer Y; Slupsky, Carolyn M.
Afiliação
  • Hasegawa Y; Department of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
  • Otoki Y; Department of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
  • McClorry S; Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi 980-8572, Japan.
  • Coates LC; Department of Nutrition, University of California-Davis, Davis, CA 95616, USA.
  • Lombardi RL; Department of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
  • Taha AY; Department of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
  • Slupsky CM; Department of Food Science and Technology, University of California-Davis, Davis, CA 95616, USA.
Methods Protoc ; 3(3)2020 Aug 26.
Article em En | MEDLINE | ID: mdl-32859006
A more comprehensive picture of tissue biology can be obtained through the application and integration of multiple omic technologies. However, the common challenge in working with a precious sample is having a sample too small to separately extract analytes of interest for each experiment. Considering the high heterogeneity that can be present in a single tissue sample, extracting all biomolecules from a single and undivided tissue is preferable because it allows direct comparison of results. Here, we combined a modified Folch extraction method with DNA, RNA, small RNA, and protein extraction using two commercial kits, which allowed us to extract polar metabolites and non-polar oxylipin metabolites, DNA, RNA, small RNA, and protein simultaneously from a small tissue sample. The method was validated in terms of quantity and quality of analytes for downstream analyses.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article