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Updated: Jun 16, 2026

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
Published on: March 3, 2015
Using a Quantitative High-Throughput Screening Platform to Identify Molecular Targets and Compounds as Repurposing
Molly L Churchill1, Sarah J Holdsworth-Carson1,2, Karla J Cowley3
1Gynaecology Research Centre, Department of Obstetrics and Gynaecology, University of Melbourne and The Royal Women's Hospital, Parkville, VIC 3052, Australia.
Abstract:
Endometriosis, defined as the growth of hormonally responsive endometrial-like tissue outside of the uterine cavity, is an estrogen-dependent, chronic, pro-inflammatory disease that affects up to 11.4% of women of reproductive age and gender-diverse people with a uterus. At present, there is no long-term cure, and the identification of new therapies that provide a high level of efficacy and favourable long-term safety profiles with rapid clinical access are a priority. In this study, quantitative high-throughput compound screens of 3517 clinically approved compounds were performed on patient-derived immortalized human endometrial stromal cell lines. Following assay optimization and compound criteria selection, a high-throughput screening protocol was developed to enable the identification of compounds that interfered with estrogen-stimulated cell growth. From these screens, 23 novel compounds were identified, in addition to their molecular targets and in silico cell-signalling pathways, which included the neuroactive ligand-receptor interaction pathway, metabolic pathways, and cancer-associated pathways. This study demonstrates for the first time the feasibility of performing large compound screens for the identification of new translatable therapeutics and the improved characterization of endometriosis molecular pathophysiology. Further investigation of the molecular targets identified herein will help uncover new mechanisms involved in the establishment, symptomology, and progression of endometriosis.
Insights
Researchers screened 3,517 compounds to find new endometriosis treatments. They identified 23 novel compounds targeting estrogen-driven cell growth, offering hope for better therapies for this chronic condition.
Area of Science:
- Reproductive biology
- Pharmacology
- Genitourinary medicine
Background:
- Endometriosis is an estrogen-dependent, chronic, pro-inflammatory disease affecting up to 11.4% of women of reproductive age and gender-diverse people with a uterus.
- Current treatments lack long-term cures, necessitating the urgent discovery of novel, safe, and effective therapies.
- Identifying new therapeutic targets is crucial for improving patient outcomes and understanding disease progression.
Purpose of the Study:
- To conduct high-throughput screening of clinically approved compounds to identify novel therapeutics for endometriosis.
- To investigate molecular targets and signaling pathways involved in endometriosis pathophysiology.
- To establish the feasibility of large-scale compound screening for endometriosis drug discovery.
Main Methods:
- Quantitative high-throughput compound screening of 3,517 clinically approved drugs.
- Utilized patient-derived immortalized human endometrial stromal cell lines.
- Developed and optimized a screening protocol to identify compounds inhibiting estrogen-stimulated cell growth.
Main Results:
- Identified 23 novel compounds that interfere with estrogen-stimulated endometrial cell growth.
- Characterized molecular targets and in silico cell-signaling pathways, including neuroactive ligand-receptor interactions, metabolic pathways, and cancer-associated pathways.
- Demonstrated the feasibility of large-scale compound screening for endometriosis therapeutics.
Conclusions:
- This study successfully identified novel compounds with therapeutic potential for endometriosis.
- The findings highlight the utility of high-throughput screening in drug discovery for complex diseases.
- Further research into identified molecular targets will elucidate endometriosis mechanisms and inform future treatment strategies.
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