Dominic Grün

The paper shows Her6, a Notch-independent factor, shifts Notch signaling from lateral inhibition to lateral induction, aiding neural stem cell maintenance in zebrafish.

BARe-seq measures transcriptional burst parameters in Drosophila cells using allele-resolved bulk sequencing, revealing distinct kinetic properties of promoters and enhancers.

The paper integrates multiple datasets to create a comprehensive human liver cell atlas, identifying new cell types and associations with demographic factors.

This study creates a single-cell atlas of the immunobiliary niche in cholangitis, revealing interactions between type 2 conventional dendritic cells and γδT cells that drive fibrosis.

NiCo identifies extrinsic drivers of cell state modulation by analyzing niche covariation in spatial transcriptomics data.

This study uses single-cell RNA-sequencing and spatial transcriptomics to analyze the spatio-temporal dynamics of the fibrotic niche in cardiac repair after ventricular injury in adult mice, identifying key cell interactions and regulatory mechanisms.

NetID identifies lineage-specific gene regulatory networks from scRNA-seq data by improving GRN inference through metacell-based analysis and avoids spurious correlations.

This study compares stretch-activated channel activity in bone marrow-derived and cardiac tissue-resident macrophages, finding that Piezo1 activity is absent in the latter.

The paper develops VarID2 to quantify biological noise in single-cell RNA-seq data, revealing noise dynamics in hematopoietic stem cells during differentiation and ageing.

This study shows that DOT1L activity regulates AP lineage progression in the developing mouse neocortex by controlling metabolic programs and gene expression.

The paper uses single-cell RNA sequencing to study hippocampal development in DOT1L-mutant mice, identifying distinct neural stem cell populations and their developmental trajectories, revealing DOT1L's role in cell state preservation and hippocampal maturation.

The paper investigates the spatiotemporal sequence of mesoderm and endoderm lineage segregation during mouse gastrulation using genetic fate labeling, imaging, and scRNA-seq.

This study benchmarks 13 scRNA-seq protocols to evaluate their effectiveness in characterizing cell types and states for cell atlas projects.

This paper constructs a human liver cell atlas using single-cell RNA-sequencing to identify new cell subtypes and progenitors, and applies it to study liver disease and engraftment.

This study uses single-cell RNA-sequencing to uncover the developmental trajectory of γδ T cells, identifying c-MAF as a key regulator of IL-17-producing γδ T cell differentiation.

This study identifies Tdrd6a as a regulator of Buc protein aggregation, which is essential for forming subcellular compartments that drive germ cell specification in zebrafish.

This study identifies chromatin-state signatures linked to β-cell dysfunction and diabetes by combining epigenome mapping with single-cell transcriptomics in mice and humans.

FateID quantifies cell fate bias in multipotent progenitors using single-cell RNA-seq data, revealing a common progenitor population for B cells and plasmacytoid dendritic cells.