Lars Velten

This study uses Perturb-seq to identify gene regulatory programs in HSPCs that link genetic regulators to cell biological processes and stem cell phenotypes.

This study links multiscale biological interactions to clinical outcomes in AML by analyzing single-cell data and developing an analytical framework.

This paper introduces PerturbSpace, a method combining CRISPR perturbations with spatially hashed single-cell multiomics to study gene function in tissue architecture.

The paper develops sc-lentiMPRA to analyze enhancer activity and specificity in single cells during differentiation, finding motif affinity influences TF response patterns.

This study uses biophysical models to show that transcription factors can act as activators, repressors, or both, with their effects influenced by binding affinity and regulatory context.

The paper introduces iDIA, a method that enhances sensitivity for quantifying regulatory proteins in single cells, revealing lineage priming and cell-cycle coordination in hematopoietic stem and progenitor cells.

This paper introduces EPI-clone, a method using DNA methylation to trace clonal lineages in hematopoiesis without genetic engineering, showing clonal complexity declines with age in mice and expands in humans.

The paper identifies design principles of cell-state specific enhancers by analyzing synthetic DNA sequences in hematopoietic differentiation.

CCLONE identifies cancer cells in scRNA-seq data by jointly analyzing SNVs and cell populations, showing its effectiveness in leukemia and lung cancer datasets.

scTAM-seq provides high-confidence single-cell DNA methylation analysis with high throughput, resolving B-cell differentiation dynamics and integrating with protein and mutation data.

A mouse embryo multiome atlas (E7.5 to E8.75) and an unsupervised transcription factor binding predictor; a Brachyury knockout supports its network predictions in neuromesodermal progenitors.

The paper identifies and profiles leukemic and pre-leukemic stem cells using single-cell transcriptomics combined with lineage tracing via somatic variants.

This study identifies a homeo-immunoglobulin code that specifies single-cell specific connections between motoneurons and target muscles through combinatorial immunoglobulin domain proteins.

This study identifies declining IGF1 production in the bone marrow microenvironment as a driver of hematopoietic stem cell aging starting in middle age in mice.

The paper integrates single-cell and spatial transcriptomics to reveal the molecular, cellular, and spatial organization of bone marrow niches.