Max Land

The paper introduces mtDIVE, a random mtDNA mutagenesis platform, to study genotype-phenotype associations in metabolic contexts and lineages, revealing lineage-specific effects and mutation-specific impacts.

This study identifies an IL-1β/IL-6 signaling circuit in the tumor microenvironment that drives prostate cancer progression from pre-invasive to invasive stages.

This paper develops a method to engineer specific mtDNA deletions in human cells using end-joining machinery and targeted endonucleases, revealing a 75% heteroplasmy threshold for mitochondrial dysfunction.

The paper creates a single-cell RNA sequencing atlas of gene expression during mouse cranial neural tube closure, identifying spatially regulated genes and SHH-regulated programs in different brain regions.

This paper introduces Spectra, an algorithm that identifies and refines gene programs from single-cell data, outperforming existing methods in tumor immune contexts by improving interpretability and capturing cell-state changes.

This paper introduces PASTE, a method for aligning and integrating spatial transcriptomics data across tissue slices by combining transcriptional and spatial information, showing improved accuracy over methods using only one type of information.

STARCH infers copy number aberrations from spatial transcriptomics data by leveraging spatial proximity, outperforming non-spatial methods.