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A novel integrated extraction protocol for multi-omic studies in heavily degraded samples.
Boggi, Byron; Sharpen, Jack D A; Taylor, George; Drosou, Konstantina.
Affiliation
  • Boggi B; Faculty of Biology, Medicine and Health, Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, M13 9PL, UK.
  • Sharpen JDA; Faculty of Biology, Medicine and Health, Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, M13 9PL, UK.
  • Taylor G; Faculty of Biology, Medicine and Health, Research and Innovation, University of Manchester, Manchester, M13 9PG, UK.
  • Drosou K; Faculty of Biology, Medicine and Health, Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, M13 9PL, UK. konstantina.drosou@manchester.ac.uk.
Sci Rep ; 14(1): 17477, 2024 07 30.
Article in En | MEDLINE | ID: mdl-39080329
ABSTRACT
The combination of multi-omic techniques, such as genomics, transcriptomics, proteomics, metabolomics and epigenomics, has revolutionised studies in medical research. These techniques are employed to support biomarker discovery, better understand molecular pathways and identify novel drug targets. Despite concerted efforts in integrating omic datasets, there is an absence of protocols that integrate all four biomolecules in a single extraction process. Here, we demonstrate for the first time a minimally destructive integrated protocol for the simultaneous extraction of artificially degraded DNA, proteins, lipids and metabolites from pig brain samples. We used an MTBE-based approach to separate lipids and metabolites, followed by subsequent isolation of DNA and proteins. We have validated this protocol against standalone extraction protocols and show comparable or higher yields of all four biomolecules. This integrated protocol is key to facilitating the preservation of irreplaceable samples while promoting downstream analyses and successful data integration by removing bias from univariate dataset noise and varied distribution characteristics.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multiomics Limits: Animals Language: En Journal: Sci Rep Year: 2024 Document type: Article Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multiomics Limits: Animals Language: En Journal: Sci Rep Year: 2024 Document type: Article Country of publication: Reino Unido