Scott E. Youlten

The paper investigates how Lamin A/C influences chromatin structure during early mammalian lineage segregation, showing its role in maintaining trophectoderm identity.

This paper introduces GSPA, a method to map gene space at single-cell resolution, enabling gene characterization and analysis of gene expression patterns across biological tasks.

The paper investigates the developmental fate of zebrafish embryos lacking the reprogramming factors Nanog, Pou5f3, and Sox19b, finding that cells can acquire novel cell states or primordial germ cell-like states.

AAnet identifies archetypal cell states in single-cell data to reveal tumor heterogeneity and spatial organization.

scMMGAN integrates multi-omic data to reveal spatial patterns in triple negative breast cancer, showing improved alignment and novel gene associations.

The paper introduces spARC, a method to recover spatial signaling networks in gliomas, revealing an Osteopontin-CD44 interaction enriched in grade IV astrocytomas.

The paper identifies genes involved in human bone disease by analyzing transcriptomic changes during zebrafish scale regeneration.

The paper maps the osteocyte transcriptome in mice, identifies 1239 genes, and links them to skeletal disease susceptibility in humans.

The paper identifies 14 genes involved in osteoarthritis using mutant mice and validates their role through functional studies and genome editing.

A rare SMAD9 mutation is linked to high bone mass, suggesting the BMP pathway as a potential osteoanabolic target.

This paper identifies 518 genetic loci associated with bone mineral density and fracture risk, validates causal genes in mice, and provides insights for osteoporosis drug development.