Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approach

Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approach

Summary: Existing medical treatments for endometriosis-related pain are often ineffective, underscoring the need for new therapeutic strategies. In this study, we applied a computational drug repurposing pipeline to stratified and unstratified disease signatures based on endometrial gene expression...

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Bibliographic Details
Main Authors: Tomiko T. Oskotsky, Arohee Bhoja, Daniel Bunis, Brian L. Le, Alice S. Tang, Idit Kosti, Christine Li, Sahar Houshdaran, Sushmita Sen, Júlia Vallvé-Juanico, Wanxin Wang, Erin Arthurs, Arpita Govil, Lauren Mahoney, Lindsey Lang, Brice Gaudilliere, David K. Stevenson, Juan C. Irwin, Linda C. Giudice, Stacy L. McAllister, Marina Sirota
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:iScience
Subjects:
Drugs
Transcriptomics
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224006096

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http://www.sciencedirect.com/science/article/pii/S2589004224006096

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