Michelle M. Chan

Mapping embryonic mouse lung development using enhanced spatial transcriptomics

This study uses spatial transcriptomics to map cell type organization during mouse lung development, identifying new mesenchymal clusters and dynamic changes in epithelial progenitors.

Galvanin (TMEM154) is an electric-field sensor for directed cell migration

A CRISPRi migration screen in neutrophil-like HL-60 cells identified Galvanin (TMEM154), a single-pass membrane protein whose negatively charged ectodomain electrophoreses anodally to steer cathodal electrotaxis.

Inferring Cell Differentiation Dynamics with Unobserved Progenitors

The paper introduces TROUPE, a framework to infer cell differentiation dynamics from lineage trees, allowing for unobserved progenitor types and providing better rate estimates than existing methods.

Inferring cell differentiation maps from lineage tracing data

The paper introduces Carta, an algorithm that infers cell differentiation maps from single-cell lineage tracing data, showing improved accuracy over existing methods in simulated and real data.

Startle: a star homoplasy approach for CRISPR-Cas9 lineage tracing

Startle is a method for inferring CRISPR-Cas9 lineage trees using a star homoplasy model, showing improved accuracy on simulated and real datasets.

Recording morphogen signals reveals origins of gastruloid symmetry breaking

The paper shows that Wnt signaling heterogeneity predicts cell position in gastruloids, revealing symmetry breaking through signaling and cell movement.

Inference of Single-Cell Phylogenies from Lineage Tracing Data

The paper introduces Cassiopeia, a method for inferring single-cell phylogenies from lineage tracing data, and benchmarks it against traditional methods using a large experimental dataset.

Molecular recording of mammalian embryogenesis

The paper develops a molecular recorder to track lineage and define a mouse cell fate map using scRNA-seq, revealing transcriptional convergence of endodermal cells and estimating progenitor cell numbers.