Tatsuma Shoji

This study predicts biological age and clinical biomarkers from cheek mucosa DNA methylation data, showing high accuracy for age and multiple biomarkers compared to blood-derived data.

The paper develops a pseudo-longitudinal framework to estimate a buccal PACE-like aging-rate score from cross-sectional DNA methylation data, showing moderate reproducibility but limited correlation with blood-derived DunedinPACE.

This paper calibrates epigenetic age between EPICv2 and MSA arrays using linear regression models to reduce cross-platform differences in six epigenetic clocks.

This paper introduces temporal entropy as a measure of dynamic instability to improve psychiatric classification across cohorts using blood transcriptomic data, finding that excluding individuals with unstable transcriptomic dynamics enhances classification performance.

The paper introduces q-mer analysis to capture alignment information in RNA-Seq data, showing it can distinguish case samples from controls better than count-based methods.

The paper uses ribosome profiling in Streptococcus pneumoniae to show that NPET structure is required for species-specific ribosome stalling during translation.