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DRMref: comprehensive reference map of drug resistance mechanisms in human cancer.
Liu, Xiaona; Yi, Jiahao; Li, Tina; Wen, Jianguo; Huang, Kexin; Liu, Jiajia; Wang, Grant; Kim, Pora; Song, Qianqian; Zhou, Xiaobo.
Afiliação
  • Liu X; Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Yi J; Bioinformatics and Biomedical Big Data Mining Laboratory, Department of Medical Informatics, School of Big Health, Guizhou Medical University, Guiyang 550025, China.
  • Li T; Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Wen J; Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Huang K; West China Biomedical Big Data Centre, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
  • Liu J; Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Wang G; Department of Bioengineering, Rice University, Houston, TX 77005, USA.
  • Kim P; Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Song Q; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
  • Zhou X; Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Nucleic Acids Res ; 52(D1): D1253-D1264, 2024 Jan 05.
Article em En | MEDLINE | ID: mdl-37986230
ABSTRACT
Drug resistance poses a significant challenge in cancer treatment. Despite the initial effectiveness of therapies such as chemotherapy, targeted therapy and immunotherapy, many patients eventually develop resistance. To gain deep insights into the underlying mechanisms, single-cell profiling has been performed to interrogate drug resistance at cell level. Herein, we have built the DRMref database (https//ccsm.uth.edu/DRMref/) to provide comprehensive characterization of drug resistance using single-cell data from drug treatment settings. The current version of DRMref includes 42 single-cell datasets from 30 studies, covering 382 samples, 13 major cancer types, 26 cancer subtypes, 35 treatment regimens and 42 drugs. All datasets in DRMref are browsable and searchable, with detailed annotations provided. Meanwhile, DRMref includes analyses of cellular composition, intratumoral heterogeneity, epithelial-mesenchymal transition, cell-cell interaction and differentially expressed genes in resistant cells. Notably, DRMref investigates the drug resistance mechanisms (e.g. Aberration of Drug's Therapeutic Target, Drug Inactivation by Structure Modification, etc.) in resistant cells. Additional enrichment analysis of hallmark/KEGG (Kyoto Encyclopedia of Genes and Genomes)/GO (Gene Ontology) pathways, as well as the identification of microRNA, motif and transcription factors involved in resistant cells, is provided in DRMref for user's exploration. Overall, DRMref serves as a unique single-cell-based resource for studying drug resistancedrug combination therapy and discovering novel drug targets.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resistência a Medicamentos / Bases de Dados Factuais / MicroRNAs / Neoplasias Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resistência a Medicamentos / Bases de Dados Factuais / MicroRNAs / Neoplasias Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos
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