Florine Roussange, Jacqueline Gide, Johana Tournois, Michel Cailleret, Anne Boland, Christophe Battail, Jean-François Deleuze, Hélène Polvèche, Didier Auboeuf, Knut Brockmann, Edor Kabashi, Anca Marian, Lina El Kassar, Sophie Blondel, François Salachas, Gaëlle Bruneteau, Marc Peschanski, Cécile Martinat, Sandrine Baghdoyan
{"title":"Integrative analysis of drug-gene signatures in human pluripotent stem cells reveals prazosin as a novel SQSTM1 regulator for ALS therapeutics.","authors":"Florine Roussange, Jacqueline Gide, Johana Tournois, Michel Cailleret, Anne Boland, Christophe Battail, Jean-François Deleuze, Hélène Polvèche, Didier Auboeuf, Knut Brockmann, Edor Kabashi, Anca Marian, Lina El Kassar, Sophie Blondel, François Salachas, Gaëlle Bruneteau, Marc Peschanski, Cécile Martinat, Sandrine Baghdoyan","doi":"10.1016/j.stemcr.2026.102977","DOIUrl":null,"url":null,"abstract":"<p><p>The classical paradigm of drug screening often faces significant limitations due to the challenges associated with identifying molecular or cellular read-outs that are relevant to specific genetic diseases. To remedy this, an alternative approach of reverse phenotypic mapping was tested: Compounds were evaluated for their effects on gene expression and alternative splicing in a healthy cell model, and the resulting data were matched to molecular signatures of diseases. A subset of 50 drugs was tested on mesenchymal stem cells derived from a human pluripotent stem cell line. Over half of the compounds altered gene expression, many affecting pathways linked to monogenic diseases. One hit, increased SQSTM1 expression induced by prazosin, was further validated in FTD/ALS type 3 models caused by SQSTM1 haploinsufficiency, including patient-derived fibroblasts, SQSTM1-depleted hiPSC-derived motor neurons, and a zebrafish model. Extending this paradigm could involve testing diverse cell types and larger drug libraries.</p>","PeriodicalId":21885,"journal":{"name":"Stem Cell Reports","volume":" ","pages":"102977"},"PeriodicalIF":5.6000,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13385447/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stem Cell Reports","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.stemcr.2026.102977","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CELL & TISSUE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
The classical paradigm of drug screening often faces significant limitations due to the challenges associated with identifying molecular or cellular read-outs that are relevant to specific genetic diseases. To remedy this, an alternative approach of reverse phenotypic mapping was tested: Compounds were evaluated for their effects on gene expression and alternative splicing in a healthy cell model, and the resulting data were matched to molecular signatures of diseases. A subset of 50 drugs was tested on mesenchymal stem cells derived from a human pluripotent stem cell line. Over half of the compounds altered gene expression, many affecting pathways linked to monogenic diseases. One hit, increased SQSTM1 expression induced by prazosin, was further validated in FTD/ALS type 3 models caused by SQSTM1 haploinsufficiency, including patient-derived fibroblasts, SQSTM1-depleted hiPSC-derived motor neurons, and a zebrafish model. Extending this paradigm could involve testing diverse cell types and larger drug libraries.
期刊介绍:
Stem Cell Reports publishes high-quality, peer-reviewed research presenting conceptual or practical advances across the breadth of stem cell research and its applications to medicine. Our particular focus on shorter, single-point articles, timely publication, strong editorial decision-making and scientific input by leaders in the field and a "scoop protection" mechanism are reasons to submit your best papers.