Simultaneous Extraction of RNA and Metabolites from Single Kidney Tissue Specimens for Combined Transcriptomic and

Patrick Leuthold1, Matthias Schwab1,2,3, Ute Hofmann1

  • 1Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology , Stuttgart , Germany and University of Tübingen, Tübingen, Germany.

Insights

This study presents a rapid protocol for simultaneous transcriptomics and metabolomics analysis from a single tissue sample. This method enhances efficiency and reproducibility for disease research using limited biopsy material.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Genomics

Background:

  • Tissue analysis is crucial for understanding disease pathophysiology.
  • Heterogeneity in tissue samples, especially tumors, can complicate analysis and interpretation.
  • Limited biopsy material necessitates efficient extraction methods for multiple analyses.

Purpose of the Study:

  • To develop a fast and simple protocol for combined transcriptomics and metabolomics analysis from a single tissue sample.
  • To enable economic use of limited biopsy material by minimizing variations.
  • To validate the protocol's feasibility for investigating drug-induced alterations.

Main Methods:

  • Developed a protocol for simultaneous RNA and metabolite extraction from tissue homogenates.
  • Analyzed metabolites using LC-QTOF-MS after HILIC and RPLC separation.
  • Applied the protocol to kidney tissue from metformin-treated mice.

Main Results:

  • Achieved high reproducibility (CV ≤ 20%) for over 80% of detected metabolic features despite ion suppression.
  • Demonstrated strong correlation (rₚ ≥ 0.75) between fold changes from the new protocol and an established metabolomics protocol.
  • Successfully applied the combined analysis to investigate metformin-induced alterations in mouse kidney tissue.

Conclusions:

  • The developed protocol offers a fast, simple, and reproducible method for combined transcriptomics and metabolomics.
  • This approach maximizes the utility of limited tissue samples, reducing variability.
  • The protocol is feasible for investigating molecular alterations in response to treatments or disease states.

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