Junyue Cao

This study shows that old white adipose tissue can rejuvenate in young hosts through thermogenic remodeling and pathway activation, reversing biological age markers.

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 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.

This study uses single-nucleus genomics and spatial transcriptomics to show that caloric restriction modulates aging-related changes in mouse brains, reducing inflammation and stress pathways while restoring circadian and cognitive genes.

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.

IRISeq, an optics-free spatial transcriptomics method, uncovers aging-related changes in spatial gene expression and focal cell interactions in brain aging.

12.4 million single-nucleus transcriptomes from 83 staged mouse embryos (E8 to P0) yield 190 cell types, a zygote-to-pup cell-type tree, and rapid postnatal transcriptional shifts.

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.

PerturbSci-Kinetics enables analysis of transcriptome kinetics through single-cell RNA profiling of CRISPR screens, revealing key regulators in miRNA and mitochondrial RNA processing.

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 uses single-cell RNA sequencing to systematically phenotype mouse genetic models, identifying molecular and cellular changes across multiple mutants and wildtypes.

The paper uses lineage tracing and single-cell profiling to distinguish heritable from non-heritable gene expression variation and develops a method to link chromatin accessibility with lineage history.

This paper reconstructs cellular trajectories of mammalian embryogenesis using scRNA-seq data and identifies key transcription factors at branch points.

The paper introduces sci-fate, a method to profile both newly synthesized and total transcriptomes in single cells, and applies it to study cortisol response dynamics in over 6,000 cells.

This paper introduces sci-RNA-seq, a combinatorial indexing method for single-cell RNA sequencing, and applies it to profile 42,035 C. elegans cells, identifying 27 cell types and their specific genes.