What question did this study set out to answer?

To investigate the co-occurrence of somatic mutations within individual multiple myeloma cells using single-cell DNA sequencing.

December 8, 2025BloodOpen Access

Single-cell DNA sequencing uncovers synergistic co-mutations in multiple myeloma

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Single-cell DNA sequencing uncovers somatic mutations in multiple myeloma, suggesting genomic factors may influence treatment resistance.

To investigate the co-occurrence of somatic mutations within individual multiple myeloma cells using single-cell DNA sequencing.
Collected bone marrow aspirates from 46 patients with multiple myeloma (newly diagnosed and relapsed).
Enriched CD138⁺ plasma cells through magnetic-activated cell sorting for detailed analysis.
Utilized single-cell DNA sequencing to profile genomic and proteomic characteristics.
Conducted variant allele frequency comparisons between tumor and reference cells.
Identified multiple somatic mutations, including common alterations in TP53.
Revealed co-occurring mutations that suggest treatment-driven selection pressures in tumor cells.
Documented divergent mutations in subclonal populations, indicating complex evolutionary dynamics.

Lyubchenko et al. (2025) studied this question.

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December 8, 2025BloodOpen Access

View Full Paper

Ask AI

Bookmark

Authors

Single-cell DNA sequencing uncovers somatic mutations in multiple myeloma, suggesting genomic factors may influence treatment resistance.

To investigate the co-occurrence of somatic mutations within individual multiple myeloma cells using single-cell DNA sequencing.
Collected bone marrow aspirates from 46 patients with multiple myeloma (newly diagnosed and relapsed).
Enriched CD138⁺ plasma cells through magnetic-activated cell sorting for detailed analysis.
Utilized single-cell DNA sequencing to profile genomic and proteomic characteristics.
Conducted variant allele frequency comparisons between tumor and reference cells.
Identified multiple somatic mutations, including common alterations in TP53.
Revealed co-occurring mutations that suggest treatment-driven selection pressures in tumor cells.
Documented divergent mutations in subclonal populations, indicating complex evolutionary dynamics.

Lyubchenko et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark