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Author Spotlight: Advancing Biomedical Research Through Single Cell Analysis
Published on: December 22, 2023
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One-pot method for preparing DNA, RNA, and protein for multiomics analysis
Stephanie Biedka1, Duah Alkam2, Charity L Washam2
1Impact Proteomics, LLC., Pittsburgh, PA, 15206, USA.
Communications Biology
|March 15, 2024
Summary
This study introduces a novel, streamlined method for multiomics analysis, enabling simultaneous preparation of DNA, RNA, and proteins from a single sample. This approach reduces bias and cost in comparative genomics, transcriptomics, and proteomics research.
Area of Science:
- Biochemistry
- Molecular Biology
- Genomics
Background:
- Traditional multiomics studies require separate, labor-intensive, and costly sample preparation methods for DNA, RNA, and proteins.
- Existing methods are prone to sampling bias, limiting comprehensive molecular profiling.
- There is a need for an integrated workflow to analyze multiple molecular layers from a single biological sample.
Purpose of the Study:
- To develop and validate a novel method for simultaneous preparation of high-quality DNA, RNA, and protein/peptides from a single sample.
- To enable comparative analysis of genomes, transcriptomes, and proteomes.
- To demonstrate the utility of this integrated multiomics workflow in cancer cell line and tissue analysis.
Main Methods:
- A reversible protein tagging scheme to link proteins to a bead-based matrix.
- Nucleic acid precipitation and selective solubilization techniques.
- Integrated workflow for simultaneous DNA, RNA, and protein/peptide isolation.
Main Results:
- Successful preparation of sequencing-ready DNA and RNA, and either intact proteins or mass-spectrometry-ready peptides.
- Demonstrated utility in comparing genomes, transcriptomes, and proteomes of triple-negative breast cancer cell lines.
- Identification of distinct RNA-associated protein and protein-only pathways differentiating cell lines.
- Successful application of the workflow to mouse tissue samples (brain, liver, lung).
Conclusions:
- The developed method offers a streamlined, cost-effective, and less biased approach for multiomics studies.
- This integrated workflow facilitates a more comprehensive understanding of molecular mechanisms in complex biological systems.
- The method is applicable to both cell line and tissue-based multiomics investigations.

