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Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations
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Single‑cell multi‑omics advances in lymphoma research (Review)
Chanjuan Jin1, Di Zhou2, Jun Li2
1Department of Hematology and Oncology, China‑Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Oncology Reports
|August 24, 2023
Summary
Single-cell multi-omics reveals lymphoma heterogeneity and evolution, offering precise tumor profiling for individualized treatment strategies. This approach enhances understanding of disease progression and aids in discovering novel therapeutic targets.
Area of Science:
- Oncology
- Genetics
- Immunology
Background:
- Lymphoma evolution is complex, driven by genetic mutations and chromosomal translocations, leading to tumor heterogeneity.
- Bulk cell analysis limits understanding of intricate lymphoma progression and individual tumor characteristics.
Conclusions:
- Single-cell multi-omics significantly enhances the understanding of lymphoma origin and evolution.
- This approach facilitates the identification of novel lymphoma biomarkers and personalized treatment strategies.
- Future prospects include targeting immunological checkpoints and molecular mechanisms for efficient therapies.
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