{"title":"New glioblastoma therapeutic targets","authors":"Jorge Ferreira","doi":"10.1038/s41684-025-01596-3","DOIUrl":null,"url":null,"abstract":"<p>Glioblastoma (GBM) is an aggressive brain tumor marked by cellular heterogeneity, complicating treatment strategies. A study in <i>Communications Biology</i> employs single-nucleus RNA sequencing (snRNA-Seq) and spatial transcriptomics to profile the tumor microenvironment (TME) in the GL261-GSC syngeneic mouse model of GBM—a model that allows the study of the immune system and has been previously used to study multiple therapeutic targets. The study shows the analyses of 14 in vivo tumor samples and 5 cultured GBM cell samples, mapping cellular states across disease stages. The use of snRNA-Seq preserves sensitive cell populations, offering a more accurate representation of the TME than conventional scRNA-Seq. The study also compares snRNA-Seq with two single-cell RNA sequencing methods to assess technical biases. Treatments included temozolomide, the current standard of care, and the experimental peptide Tat-Cx43<sub>266–283</sub>, which showed significant anti-tumor effects. The findings highlight potential therapeutic targets and reveal molecular similarities between the GL261-GSC GBM model and TME<sup>Med</sup> GBM, the most common human GBM subtype, validating its translational relevance.</p><p><b>Original reference:</b> García-Vicente, L. et al. <i>Commun. Biol</i>. <b>8</b>, 671 (2025)</p>","PeriodicalId":17936,"journal":{"name":"Lab Animal","volume":"19 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lab Animal","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1038/s41684-025-01596-3","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Glioblastoma (GBM) is an aggressive brain tumor marked by cellular heterogeneity, complicating treatment strategies. A study in Communications Biology employs single-nucleus RNA sequencing (snRNA-Seq) and spatial transcriptomics to profile the tumor microenvironment (TME) in the GL261-GSC syngeneic mouse model of GBM—a model that allows the study of the immune system and has been previously used to study multiple therapeutic targets. The study shows the analyses of 14 in vivo tumor samples and 5 cultured GBM cell samples, mapping cellular states across disease stages. The use of snRNA-Seq preserves sensitive cell populations, offering a more accurate representation of the TME than conventional scRNA-Seq. The study also compares snRNA-Seq with two single-cell RNA sequencing methods to assess technical biases. Treatments included temozolomide, the current standard of care, and the experimental peptide Tat-Cx43266–283, which showed significant anti-tumor effects. The findings highlight potential therapeutic targets and reveal molecular similarities between the GL261-GSC GBM model and TMEMed GBM, the most common human GBM subtype, validating its translational relevance.
Original reference: García-Vicente, L. et al. Commun. Biol. 8, 671 (2025)
期刊介绍:
LabAnimal is a Nature Research journal dedicated to in vivo science and technology that improves our basic understanding and use of model organisms of human health and disease. In addition to basic research, methods and technologies, LabAnimal also covers important news, business and regulatory matters that impact the development and application of model organisms for preclinical research.
LabAnimal's focus is on innovative in vivo methods, research and technology covering a wide range of model organisms. Our broad scope ensures that the work we publish reaches the widest possible audience. LabAnimal provides a rigorous and fair peer review of manuscripts, high standards for copyediting and production, and efficient publication.