Dmitrii V. Kriukov

The paper estimates human lifespan limits by modeling the impact of somatic mutations, finding they reduce lifespan from 430 to 169 years but cannot fully explain mortality.

This study compares 3D genome changes in aging and neurodegenerative mouse models using Hi-C, finding shared early features and distinct later changes linked to DNA damage.

ComputAgeBench benchmarks epigenetic aging clocks by comparing 13 models on 66 harmonized blood DNA methylation datasets to evaluate their ability to distinguish healthy individuals from those with aging-accelerating conditions.

The paper analyzes how epistemic uncertainty affects the reliability of aging clocks in predicting rejuvenation effects during cellular reprogramming.

This paper identifies issues in lifespan studies due to lack of standardization and proposes solutions for improving data consistency and comparability.

The paper analyzes neuronal population data to show that rotational dynamics are equivalent to travelling waves, introducing a measure to quantify rotation strength.

This study identifies a transcriptomic signature of reprogramming in mouse and human cells that reverses age-related gene expression changes and reveals mechanisms of rejuvenation independent of pluripotency gain.

This paper develops deep-learning methods to enhance Hi-C data resolution using genome sequence information and provides open-source code.