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One-pot method for preparing DNA, RNA, and protein for multiomics analysis.
Biedka, Stephanie; Alkam, Duah; Washam, Charity L; Yablonska, Svitlana; Storey, Aaron; Byrum, Stephanie D; Minden, Jonathan S.
Afiliación
  • Biedka S; Impact Proteomics, LLC., Pittsburgh, PA, 15206, USA.
  • Alkam D; Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
  • Washam CL; Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
  • Yablonska S; Impact Proteomics, LLC., Pittsburgh, PA, 15206, USA.
  • Storey A; Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
  • Byrum SD; Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
  • Minden JS; Arkansas Children's Research Institute, Little Rock, AR, 72202, USA.
Commun Biol ; 7(1): 324, 2024 Mar 14.
Article en En | MEDLINE | ID: mdl-38485785
ABSTRACT
Typical multiomics studies employ separate methods for DNA, RNA, and protein sample preparation, which is labor intensive, costly, and prone to sampling bias. We describe a method for preparing high-quality, sequencing-ready DNA and RNA, and either intact proteins or mass-spectrometry-ready peptides for whole proteome analysis from a single sample. This method utilizes a reversible protein tagging scheme to covalently link all proteins in a lysate to a bead-based matrix and nucleic acid precipitation and selective solubilization to yield separate pools of protein and nucleic acids. We demonstrate the utility of this method to compare the genomes, transcriptomes, and proteomes of four triple-negative breast cancer cell lines with different degrees of malignancy. These data show the involvement of both RNA and associated proteins, and protein-only dependent pathways that distinguish these cell lines. We also demonstrate the utility of this multiomics workflow for tissue analysis using mouse brain, liver, and lung tissue.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN / Multiómica Límite: Animals Idioma: En Revista: Commun Biol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN / Multiómica Límite: Animals Idioma: En Revista: Commun Biol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido