Single-cell technologies uncover intra-tumor heterogeneity in childhood cancers.

Lo, Yu-Chen; Liu, Yuxuan; Kammersgaard, Marte; Koladiya, Abhishek; Keyes, Timothy J; Davis, Kara L

Lo, Yu-Chen; Liu, Yuxuan; Kammersgaard, Marte; Koladiya, Abhishek; Keyes, Timothy J; Davis, Kara L.

Afiliación

Lo YC; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Liu Y; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Kammersgaard M; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Koladiya A; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Keyes TJ; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Davis KL; Medical Scientist Training Program, Stanford University School of Medicine, Stanford, CA, USA.

Semin Immunopathol ; 45(1): 61-69, 2023 01.

Article en En | MEDLINE | ID: mdl-36625902

Asunto(s)

Neoplasias; Niño; Humanos; Neoplasias/etiología; Neoplasias/terapia; Oncología Médica/métodos; Proteómica

Palabras clave

Cancer resistance; Childhood cancer; Machine learning; Mass cytometry; Pediatrics; Single-cell technology

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Tipo de estudio: Etiology_studies / Guideline Límite: Child / Humans Idioma: En Revista: Semin Immunopathol Asunto de la revista: ALERGIA E IMUNOLOGIA / PATOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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