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MSC.sensor: Capturing cancer cell interactions with stroma for functional profiling.
Huang, Yun; Drakul, Aneta; Sidhu, Jasmeet; Rauwolf, Kerstin K; Kim, James; Bornhauser, Beat; Bourquin, Jean-Pierre.
Afiliación
  • Huang Y; Division of Oncology and Children's Research Centre, University Children's Hospital Zurich, Zurich, Switzerland; Moores Cancer Center, University of California, San Diego, La Jolla, CA, United States. Electronic address: YUH086@health.ucsd.edu.
  • Drakul A; Division of Oncology and Children's Research Centre, University Children's Hospital Zurich, Zurich, Switzerland.
  • Sidhu J; Tata Translational Cancer Research Centre, Tata Medical Center, Kolkata, India.
  • Rauwolf KK; Division of Oncology and Children's Research Centre, University Children's Hospital Zurich, Zurich, Switzerland.
  • Kim J; Division of Oncology and Children's Research Centre, University Children's Hospital Zurich, Zurich, Switzerland.
  • Bornhauser B; Division of Oncology and Children's Research Centre, University Children's Hospital Zurich, Zurich, Switzerland.
  • Bourquin JP; Division of Oncology and Children's Research Centre, University Children's Hospital Zurich, Zurich, Switzerland. Electronic address: Jean-Pierre.Bourquin@kispi.uzh.ch.
SLAS Discov ; 2023 Aug 11.
Article en En | MEDLINE | ID: mdl-37573011
Mesenchymal stromal cells (MSCs) contribute to the microenvironment regulating normal and malignant hematopoiesis, and thus may support subpopulations of cancer cells to escape therapeutic pressure. Here, we engineered bone marrow MSCs to express a synthetic CD19-sensor receptor to detect and display interacting primary CD19+ leukemia cells in coculture. This implementation provides a versatile platform facilitating ex vivo drug response profiling of primary CD19+ leukemia cells in coculture with high-sensitivity and scalability.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: SLAS Discov Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: SLAS Discov Año: 2023 Tipo del documento: Article