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Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

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Advances in high-throughput drug screening based on pharmacotranscriptomics.

Liansheng Qiao¹, Xiaoqian Huo², Wenting Huang³

¹Key Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.

Journal of Advanced Research

|September 13, 2025

Summary

This summary is machine-generated.

Pharmacotranscriptomics-based drug screening (PTDS) advances drug discovery by analyzing gene expression changes. Combining PTDS with artificial intelligence revolutionizes high-throughput screening and drug development, especially for complex medicines like TCM.

Keywords:

Drug screening High-throughput screening Pathway-based drug screening Pharmacotranscriptomics Traditional Chinese medicine

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Area of Science:

Pharmacogenomics and Computational Biology
Drug Discovery and Development
Systems Biology

Background:

Drug screening is central to novel drug discovery, evolving into pharmacotranscriptomics-based drug screening (PTDS).
PTDS differs from traditional methods by analyzing large-scale gene expression changes.
This field faces challenges in high-throughput profiling and computational analysis of complex data.

Purpose of the Study:

To review the evolution and advancements in PTDS, focusing on profiling and AI-driven data mining.
To compare PTDS with traditional screening paradigms and identify its applications.
To provide insights into the technological development and implementation of PTDS.

Main Methods:

Systematic review of PTDS technologies, including microarray, targeted transcriptomics, and RNA-seq.
Analysis of AI-driven data mining methods: ranking, unsupervised, and supervised learning algorithms.
Exploration of PTDS applications in pathway-based screening, drug combination design, and traditional Chinese medicine (TCM) analysis.

Main Results:

PTDS enables large-scale detection of drug-induced gene expression changes and analysis of efficacy.
AI integration enhances PTDS for analyzing gene sets, pathways, and complex diseases.
PTDS is suitable for complex drug efficacy assessment, particularly for TCM.

Conclusions:

PTDS represents a significant advancement in high-throughput drug screening.
The integration of PTDS with AI promises to transform drug discovery and development.
PTDS offers novel perspectives for technological evolution and effective implementation in the pharmaceutical industry.