Andrew C. Lu

Engineered caspases directly rewire mutant Ras to cell death

This paper engineers caspases to selectively kill cells with mutant Ras by reconstituting active complexes upon detection, showing potent in vitro efficacy against cancer lines.

De novo design of phosphotyrosine peptide binders

This paper introduces RFD2-MI, a deep learning framework for designing phosphotyrosine peptide binders, showing high specificity and affinity for phosphorylated targets.

Engineered protein circuits for cancer therapy

This paper engineers protease-based protein circuits that selectively kill RAS-mutant cancer cells and suppress tumors, showing resistance reduction and cytotoxicity independent of oncogene addiction.

Stoichiometric expression of messenger polycistrons by eukaryotic ribosomes (SEMPER) for compact, ratio-tunable multi-gene expression from single mRNAs

The paper introduces SEMPER, a method for expressing multiple proteins from single mRNAs at tunable ratios, demonstrating its use in cell lines and acoustic reporter genes.

memento: Generalized differential expression analysis of single-cell RNA-seq with method of moments estimation and efficient resampling

The paper introduces memento, a method for differential expression analysis of scRNA-seq data, and shows it identifies significant differences in mean, variability, and gene correlation across experimental conditions.

Multi-context genetic modeling of transcriptional regulation resolves novel disease loci

The paper introduces CONTENT, a method for multi-context genetic modeling of transcriptional regulation, which improves power and discovers more gene-phenotype associations in TWAS.

Synthetic mammalian signaling circuits for robust cell population control

This paper designs a synthetic mammalian circuit using auxin for population control, showing it limits growth more robustly than non-paradoxical designs.

Mapping gene regulatory networks of primary CD4+ T cells using single-cell genomics and genome engineering

The paper uses CRISPR perturbations and single-cell transcriptomics to identify gene regulators and interactions in CD4+ T cells, revealing 134 regulators and 194 regulator pairs.