Ziyu Lu

This study constructs a pan-cancer single-cell multi-omic atlas to uncover gene regulatory principles in cancer cell states and environmental features across diverse cancer types.

The paper uses TrackerSci to analyze newborn cell dynamics across 21 mouse tissues at different ages, showing how aging affects cell renewal and composition.

This study uses single-cell and spatial profiling to show that inflammatory signals from macrophages and fibroblasts drive CD8 T cell exhaustion and resistance to immune checkpoint blockade in prostate cancer.

This study constructs a single-cell chromatin accessibility atlas across mouse tissues to reveal age-related cellular and epigenomic changes, showing widespread population shifts and sex-dependent dynamics.

EnrichSci enables targeted profiling of specific cell types in complex tissues, revealing aging-associated molecular dynamics and post-transcriptional regulation.

The paper introduces PerturbFate, a single-cell CRISPR screening platform, and finds convergent cell state dynamics across diverse genetic perturbations in melanoma cells.

PanSci, a single-cell transcriptome atlas of over 20 million cells throughout the mouse lifespan, unveils the temporal architecture of aging-associated cellular population dynamics, organ-specific immune cell shifts, and the lymphocytes role in organismal aging.

This study shows JC polyomavirus uses epigenetic mimicry to alter nuclear architecture, enabling viral replication and persistence.

The paper develops a high-throughput single-cell genomics approach to study age-related and Alzheimer's disease-associated cell population dynamics and molecular signatures in human and mouse brains.

This paper introduces TrackerSci, a technique to profile progenitor cells in mouse and human brains, revealing cell-type-specific dynamics and aging-related changes.

The paper introduces StrainTrack, a method to track bacterial strains in metagenomes and identifies shared strains between twins.