Grace X. Y. Zheng

The paper maps gene expression responses to loss of 1,947 disease-associated genes across the mouse brain using Perturb-seq, revealing cell-type-specific essentiality and transcriptional programs.

DINOcell predicts cellular responses to perturbations using self-distillation in single-cell transcriptomics, outperforming baselines for single and combination gene effects.

The paper uses scATAC-seq to analyze chromatin accessibility in immune cell development and tumor microenvironments, identifying regulatory elements and trajectories associated with cell differentiation and therapy response.

This paper develops a single-cell multi-omic framework to identify malignant regulatory signatures in mixed phenotype acute leukemia by analyzing transcriptomic and epigenetic data.

8-channel GemCode droplet barcoding captures ∼50% of loaded cells for 3′ mRNA counting, profiling 68k peripheral blood mononuclear cells and calling transplant chimerism from transcript variants.