Peter W. Laird

The paper introduces scDEEP-mC, a single-cell DNA methylation profiling method, and shows it can identify cell types, X-inactivation states, and replication dynamics with high coverage.

This paper develops an amplification-free method to quantify DNA methylation at the BCAT1 promoter with high sensitivity and specificity, enabling improved early detection of methylated cancer DNA biomarkers.

This paper introduces Active-Seq, a method to profile hypomethylated regions by enriching non-modified CpG sites, showing its effectiveness in various DNA sources.

The paper shows that DNA methylation loss in late-replicating domains is driven by cell division and replication, and introduces a model to estimate replicative history.

This paper develops a high-throughput DNA methylation array and atlas for mice, revealing tissue-specific methylation patterns and their associations with aging, differentiation, and disease.

The paper identifies an epigenetic shift from G-CIMP-high to G-CIMP-low in gliomas during recurrence, associated with genomic instability and stem cell-like features, and proposes biomarkers for predicting recurrence.

This study characterizes genomic, transcriptomic, and epigenomic artifacts in FFPE tissues and provides best practices to mitigate their impact on molecular analysis.