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Updated: Aug 15, 2025

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Is it the time to integrate novel sequencing technologies into clinical practice?
Jennifer VanOudenhove1, Stephanie Halene, Lourdes Mendez
1Section of Hematology, Department of Internal Medicine, Yale Cancer Center and Smilow Cancer Hospital, Yale University School of Medicine, New Haven, Connecticut, USA.
Next-generation sequencing (NGS) is revolutionizing clinical practice by enhancing mutation detection and cellular resolution. These advanced techniques improve diagnostics, treatment monitoring, and the study of clonal hematopoiesis.
Area of Science:
- Genomics
- Molecular Biology
- Clinical Diagnostics
Background:
- Next-generation sequencing (NGS) technologies are rapidly advancing, focusing on improved mutation capture, read accuracy, and cellular resolution.
- Integration of short and long read DNA sequencing with multiomic approaches offers deeper biological insights into diseases.
Approach:
- Utilizing single-cell (sc)DNA-seq and integrated scDNA-seq with immunophenotyping to analyze disease composition at a granular level.
- Employing advanced sequencing to identify rare cell populations for sensitive residual disease monitoring and precise clone characterization.
Key Points:
- scDNA-seq provides detailed information on clonal hierarchy, co-mutation status, zygosity, and genotype-phenotype correlations.
- Techniques enable the distinction of malignant from pre/nonmalignant clones and enhance sensitivity in minimal residual disease monitoring.
- Decreasing costs and increasing genetic insights are making high-throughput NGS a clinical reality.
Conclusions:
- Novel NGS techniques are poised to revolutionize clinical practice by improving diagnostics and treatment response monitoring.
- These technologies will advance the study of premalignant conditions like clonal hematopoiesis.
- The integration of advanced sequencing methods promises more precise disease characterization and patient management.
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