Nature Communications · 2020 · 33 citations · 66 references
MedicineGeneticsOncologyCancer GeneticsMolecular OncologyTumor ProgressionCancer GenomicsCancer ProgressionMolecular Tumor ProfilingNext-generation Sequencing In OncologySingle-cell GenomicsSingle-cell Variant AnalysisBrca1 DeficiencyCancer Driver Gene IdentificationCancer Metastasis MechanismsIntratumor Genetic HeterogeneityIntratumor HeterogeneitySingle Nucleotide Variant AnalysisSingle-cell Cancer GenomicsSingle-nucleotide Variants
Single-cell whole-exome sequencing (scWES) is a powerful approach for deciphering intratumor heterogeneity and identifying cancer drivers. So far, however, simultaneous analysis of single nucleotide variants (SNVs) and copy number variations (CNVs) of a single cell has been challenging. By analyzing SNVs and CNVs simultaneously in bulk and single cells of premalignant tissues and tumors from mouse and human BRCA1-associated breast cancers, we discover an evolution process through which the tumors initiate from cells with SNVs affecting driver genes in the premalignant stage and malignantly progress later via CNVs acquired in chromosome regions with cancer driver genes. These events occur randomly and hit many putative cancer drivers besides p53 to generate unique genetic and pathological features for each tumor. Upon this, we finally identify a tumor metastasis suppressor Plekha5, whose deficiency promotes cancer metastasis to the liver and/or lung.
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The Sequence Alignment/Map format and SAMtools
Heng Li, Alec Wysoker, Tim Fennell et al. · Bioinformatics · 2009 · 67.5K citations · Full text
Fast and accurate short read alignment with Burrows–Wheeler transform
Heng Li, Richard Durbin · Bioinformatics · 2009 · 62.8K citations · Full text