ERASE-Seq: Leveraging replicate measurements to enhance ultralow frequency variant detection in NGS data.

The accurate detection of ultralow allele frequency variants in DNA samples is of interest in both research and medical settings, particularly in liquid biopsies where cancer mutational status is monitored from circulating DNA. Next-generation sequencing (NGS) technologies employing molecular barcoding have shown promise but significant sensitivity and specificity improvements are still needed to detect mutations in a majority of patients before the metastatic stage. To address this we present analytical validation data for ERASE-Seq (Elimination of Recurrent Artifacts and Stochastic Errors), a method for accurate and sensitive detection of ultralow frequency DNA variants in NGS data. ERASE-Seq differs from previous methods by creating a robust statistical framework to utilize technical replicates in conjunction with background error modeling, providing a 10 to 100-fold reduction in false positive rates compared to published molecular barcoding methods. ERASE-Seq was tested using spiked human DNA mixtures with clinically realistic DNA input quantities to detect SNVs and indels between 0.05% and 1% allele frequency, the range commonly found in liquid biopsy samples. Variants were detected with greater than 90% sensitivity and a false positive rate below 0.1 calls per 10,000 possible variants. The approach represents a significant performance improvement compared to molecular barcoding methods and does not require changing molecular reagents.

Robust single-cell DNA methylome profiling with snmC-seq2.

Single-cell DNA methylome profiling has enabled the study of epigenomic heterogeneity in complex tissues and during cellular reprogramming. However, broader applications of the method have been impeded by the modest quality of sequencing libraries. Here we report snmC-seq2, which provides improved read mapping, reduced artifactual reads, enhanced throughput, as well as increased library complexity and coverage uniformity compared to snmC-seq. snmC-seq2 is an efficient strategy suited for large-scale single-cell epigenomic studies.

Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex.

The mammalian brain contains diverse neuronal types, yet we lack single-cell epigenomic assays that are able to identify and characterize them. DNA methylation is a stable epigenetic mark that distinguishes cell types and marks regulatory elements. We generated >6000 methylomes from single neuronal nuclei and used them to identify 16 mouse and 21 human neuronal subpopulations in the frontal cortex. CG and non-CG methylation exhibited cell type-specific distributions, and we identified regulatory elements with differential methylation across neuron types. Methylation signatures identified a layer 6 excitatory neuron subtype and a unique human parvalbumin-expressing inhibitory neuron subtype. We observed stronger cross-species conservation of regulatory elements in inhibitory neurons than in excitatory neurons. Single-nucleus methylomes expand the atlas of brain cell types and identify regulatory elements that drive conserved brain cell diversity.

Candidate genes required for embryonic development: a comparative analysis of distal mouse chromosome 14 and human chromosome 13q22.

Mice homozygous for the Ednrb(s-1Acrg) deletion arrest at embryonic day 8.5 from defects associated with mesoderm development. To determine the molecular basis of this phenotype, we initiated a positional cloning of the Acrg minimal region. This region was predicted to be gene-poor by several criteria. From comparative analysis with the syntenic human locus at 13q22 and gene prediction program analysis, we found a single cluster of four genes within the 1.4-to 2-Mb contig over the Acrg minimal region that is flanked by a gene desert. We also found 130 highly conserved nonexonic sequences that were distributed over the gene cluster and desert. The four genes encode the TBC (Tre-2, BUB2, CDC16) domain-containing protein KIAA0603, the ubiquitin carboxy-terminal hydrolase L3 (UCHL3), the F-box/PDZ/LIM domain protein LMO7,and a novel gene. On the basis of their expression profile during development, all four genes are candidates for the Ednrb(s-1Acrg) embryonic lethality. Because we determined that a mutant of Uchl3 was viable, three candidate genes remain within the region.