Dan Avi Landau

Ordered lineage recording in lung cancer xenografts shows pre-transplant glycolytic and lineage-heritable expression states predict metastatic colonization, while ENO1 alone predicts onward spread.

This paper introduces D&D-seq, a single-cell method to map DNA:Protein interactions with high specificity and resolution, and applies it to study TF binding in human cells.

This study identifies cGAS-STING pathway activation as a key mechanism of inflammation in VEXAS, showing that UBA1 mutations disrupt ERAD and mitochondrial homeostasis, leading to STING-driven inflammation.

The paper develops scG2P to jointly capture DNA mutations and mRNA transcripts in single cells, revealing clonal architectures and phenotypes in aged esophageal tissue.

This study shows that the developmental stage of hematopoietic stem cells influences leukemic transformation, lineage hierarchy, and therapy response in pediatric leukemia.

The paper uses single-cell DNA sequencing to analyze somatic mosaicism in postmortem lung and colon tissues, revealing mutation heterogeneity, chromosomal abnormalities, and cellular ancestry.

This paper develops SMART-PTA for single-cell whole-genome and transcriptome sequencing, revealing clonal evolution in aged human esophageal tissue over 70 years.

This paper introduces ppmSeq, a sequencing technology that improves accuracy and efficiency in detecting SNVs by sequencing both DNA strands, showing superior performance in clinical applications like ctDNA detection.

The paper uses single-cell sequencing to uncover hidden genetic diversity in pediatric ALL that is not detected by bulk sequencing, identifying treatment-resistant clones and their associated mutations.

This paper introduces MRD-EDGE, a machine learning platform for ultrasensitive ctDNA detection in plasma WGS, showing improved sensitivity and broader applicability for MRD monitoring.

This study uses single-cell multi-omics to map genotype-to-phenotype relationships in VEXAS syndrome, identifying PERK pathway activation as a therapeutic target.

CRISPRmap enables multi-omic optical pooled screens to map gene function in cells and tissue without sequencing, identifying pathogenic mutations and analyzing spatial phenotypes.

The paper characterizes age-related and inter-individual variation in circulating hematopoietic stem cells and establishes a normal reference to identify hematological disorders.

This study applies low-cost whole genome sequencing to detect circulating tumor DNA at high sensitivity in plasma samples, achieving error rates as low as 10^-7 and enabling cancer monitoring without matched tumor sequencing.

This paper introduces SPOTS, a method for integrating spatial transcriptome and proteome data, and shows it reveals biological processes in spleen and breast cancer samples.

This paper introduces NTT-seq, a method to measure multiple chromatin features at single-cell resolution, and demonstrates its application in immune cells.

The paper identifies epigenetically bistable regions in neuronal genes that influence neuronal eligibility for coding ensembles in the hippocampus, showing their role in spatial memory and excitability.

EpiMethylTag combines ATAC-seq or ChIP-seq with bisulfite conversion to simultaneously assess chromatin accessibility/TF binding and DNA methylation.