ScDPN for High-throughput Single-cell CNV Detection to Uncover Clonal Evolution During HCC Recurrence.

ABSTRACT: Single-cell genomics provides substantial resources for dissecting cellular heterogeneity and cancer evolution. Unfortunately, classical DNA amplification-based methods have low throughput and introduce coverage bias during sample preamplification. We developed a single-cell DNA library preparation method without preamplification in nanolitre scale (scDPN) to address these issues. The method achieved a throughput of up to 1800 cells per run for copy number variation (CNV) detection. Also, our approach demonstrated a lower level of amplification bias and noise than the multiple displacement amplification (MDA) method and showed high sensitivity and accuracy for cell line and tumor tissue evaluation. We used this approach to profile the tumor clones in paired primary and relapsed tumor sampl

SUBMITTER: Wu L 

PROVIDER: S-EPMC8864190 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature