← BioTransfer GEO Dataset Finder
GEO series

Multi-omics analysis reveals Jianpi formula-derived bioactive peptide-YG-22 potentially inhibited colorectal cancer via regulating epigenetic reprogram and signal pathway regulation [RNA-Seq]

GSE289008 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/03/26 Platform GPL24676
Summary
Colorectal cancer (CRC) is a prevalent malignancy worldwide, often treated with chemotherapy despite its limitations, including adverse effects and resistance. Chemotherapy combined with the traditional Chinese medicine (TCM) Jianpi formula has been demonstrated to improve efficacy. In this study, we aim to screen bioactive peptides derived from the blood of CRC patients through peptidomics and explore the molecular mechanisms of the candidate peptides in HCT116 cells using multi-omics analysis. Differential peptides were identified in plasma samples from patients treated with chemotherapy alone and those receiving the combined therapy. Among these, YG-22 exhibited the strongest cytotoxic effect on HCT116 cells, reducing viability in a dose- and time-dependent manner. Transcriptome analysis highlighted the modulation of key pathways involved in lysosome-mediated degradation and apoptosis, while metabolomic profiling indicated disruptions in tumor-supportive metabolic pathways. Additionally, chromatin accessibility and histone modifications suggested epigenetic reprogramming induced by YG-22. These findings demonstrate that combining chemotherapy with TCM enriches the molecular landscape and generates bioactive peptides with strong antitumor activity. Furthermore, this study also lays the foundation for further development of peptide-based therapies and highlights the value of combining traditional and modern therapeutic strategies for CRC management.
Published in
Multi-omics analysis reveals Jianpi formula-derived bioactive peptide-YG-22 potentially inhibited colorectal cancer via regulating epigenetic reprogram and signal pathway regulation
Wang J, Zhu L, Li Y et al. · Frontiers in genetics 2025 · PMID 40110036 · doi:10.3389/fgene.2025.1560172
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE289008_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1220603 and SRA study SRP562189. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.