Tom S. Weber

This study uses genetic barcoding to analyze clonal composition in solid and liquid biopsies of breast cancer models, revealing differences in clonal diversity and DNA shedding patterns.

The paper identifies clonal fate modules in human HSPCs using machine learning, revealing molecular predictors of lineage commitment and improving dendritic cell purity for immunotherapy.

The paper compares functional properties of fetal and adult hematopoietic stem/progenitor cells through transplantation, revealing differences in lineage bias and clonal multi-lineage differentiation.

The paper introduces DivisionCounter, a method to count large cell divisions in vivo, showing leukemia tumor division rates are independent of microenvironment and CAR-T treatment.

This study uses cellular barcoding and agent-based modeling to reveal clonal fate patterns in hematopoiesis, showing that stem and progenitor cells are often less multipotent than previously thought.

This study evaluates sample multiplexing reagents and protocols for scRNA-Seq, finding that workflow improvements and reagent choice impact data quality and cost-effectiveness.

The paper develops LoxCode barcoding to trace clonal fate of epiblast cells in vivo, finding lineage biases and tissue-specific contributions across fetal development.

The paper benchmarks scRNA-seq analysis methods using synthetic datasets generated from mixed cancer cell lines, identifying methods that perform well across tasks like normalization, clustering, and integration.