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Single-cell profiling in multiple myeloma: insights, problems, and promises.
Samur, Mehmet Kemal; Szalat, Raphael; Munshi, Nikhil C.
Afiliación
  • Samur MK; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA.
  • Szalat R; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
  • Munshi NC; Department of Hematology and Medical Oncology, Boston University Medical Center, Boston, MA.
Blood ; 142(4): 313-324, 2023 07 27.
Article en En | MEDLINE | ID: mdl-37196627
ABSTRACT
In a short time, single-cell platforms have become the norm in many fields of research, including multiple myeloma (MM). In fact, the large amount of cellular heterogeneity in MM makes single-cell platforms particularly attractive because bulk assessments can miss valuable information about cellular subpopulations and cell-to-cell interactions. The decreasing cost and increasing accessibility of single-cell platform, combined with breakthroughs in obtaining multiomics data for the same cell and innovative computational programs for analyzing data, have allowed single-cell studies to make important insights into MM pathogenesis; yet, there is still much to be done. In this review, we will first focus on the types of single-cell profiling and the considerations for designing a single-cell profiling experiment. Then, we will discuss what have learned from single-cell profiling about myeloma clonal evolution, transcriptional reprogramming, and drug resistance, and about the MM microenvironment during precursor and advanced disease.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Mieloma Múltiple Límite: Humans Idioma: En Revista: Blood Año: 2023 Tipo del documento: Article País de afiliación: Marruecos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Mieloma Múltiple Límite: Humans Idioma: En Revista: Blood Año: 2023 Tipo del documento: Article País de afiliación: Marruecos