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February 8, 2026Scientific Data2 citationsOpen Access

Multidimensional transcriptome dataset for systematic evaluation of Jakyakgamcho-tang-induced cell signatures

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SBSu-Jin BaekHLHaeseung LeeHYHeerim Yeo

Key Points

  • To systematically evaluate the effects of Jakyakgamcho-tang preparation on gene expression.
  • Created 513 transcriptome profiles using RNA-seq data with three concentrations and three replicates.
  • Targeted C2C12, HepG2, and PC12 cell lines for analysis.
  • Considered variables including PR to GR ratios, solvent type, and extraction methods.
  • Demonstrated variation in gene expression driven by the different Jakyakgamcho-tang preparation factors.
  • Provided a multidimensional dataset structure enabling in-depth analysis.
  • Facilitated access to raw and preprocessed data for future research.

Abstract

Jakyakgamcho-tang (JGT), the simplest form of herbal medicine, comprises Paeoniae Radix (PR) and Glycyrrhizae Radix et Rhizoma (GR). It has been used to treat muscle-related diseases and inflammation. However, its pharmacological effects may vary with the proportions of ingredients and preparatory factors such as the extraction method. Nevertheless, gene expression datasets systematically reflecting these variables are lacking. A total of 513 transcriptome profiles were created with three concentrations and three replicates of RNA-seq data. This dataset structure will enable multidimensional analysis of the effects of various JGT preparation factors on gene expression; these factors include the PR to GR proportional ratio (2:1, 1:1, and 1:2), solvent (water or 70% ethanol), and extraction method (combined or individual extraction method). The HepG2, C2C12, and PC12 cell lines were targeted. All raw and preprocessed data are available through GEO. Standardized metadata and ingredient data are also provided. This dataset provides a foundation for exploring traditional herbal formulations effects on cellular transcriptomic responses and can facilitate the scientific optimization of herbal medicines.

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Cite This Study

Baek et al. (2026) studied this question.

synapsesocial.com/papers/6987eb5df6bacdd2fe8fc996https://doi.org/10.1038/s41597-026-06759-6
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