Scott X. Atwood

Robust identification of cell-cell communication heterogeneity in single cells

This paper introduces scRICH, a framework for analyzing cell-cell communication in single-cell and spatial transcriptomics data, showing its ability to capture communication heterogeneity and link it to cell fate decisions.

Enhanced Differentiation Potential of Pigmented Human Epidermal Equivalents

The paper develops a pigmented human epidermal equivalent model and shows it has enhanced differentiation potential compared to conventional models.

ESPRESSO: Spatiotemporal omics based on organelle phenotyping

ESPRESSO provides high-dimensional spatiotemporal phenotyping of organelles using fluorescent labeling and advanced microscopy, enabling analysis of cell states, stress response, and immune cell polarization.

Statistically principled feature selection for single cell transcriptomics

The paper introduces a statistically principled feature selection method for scRNA-seq that improves accuracy in identifying rare cell types compared to existing tools.

Leveraging gene correlations in single cell transcriptomic data

The paper introduces BigSur, a method for identifying gene-gene correlations in scRNA-seq data without normalization, showing it captures significant correlation structures and aligns with known biological processes.

Single-cell and spatial transcriptomics of vulvar lichen sclerosus reveal multicompartmental alterations in gene expression and signaling cross-talk

This study uses single-cell and spatial transcriptomics to analyze vulvar lichen sclerosus, identifying molecular changes and signaling pathways involved in the disease.

Distinct mechanisms for sebaceous gland self-renewal and regeneration provide durability in response to injury

This study identifies distinct mechanisms for sebaceous gland self-renewal and regeneration, showing that injury triggers replacement by hair follicle-derived stem cells and FGFR-dependent regeneration.

Single cell transcriptomics of human skin equivalent organoids

This study uses single-cell RNA sequencing to compare human skin equivalent organoids with in vivo epidermis, identifying both similarities and unique features in their cellular states and differentiation trajectories.

Screening cell-cell communication in spatial transcriptomics via collective optimal transport

This paper introduces COMMOT, a method for inferring cell-cell communication in spatial transcriptomics, and demonstrates its effectiveness across multiple datasets and technologies.

Single cell transcriptomics of human epidermis reveals basal stem cell transition states

The paper uses single-cell RNA sequencing to identify spatially distinct basal stem cell populations in human epidermis and shows their role in maintaining epidermal homeostasis through signaling and differentiation.

MTSS1/Src family kinase Dysregulation Underlies Multiple Inherited Ataxias

This study identifies MTSS1/Src family kinase dysregulation as a common mechanism in multiple inherited ataxias and shows SFK inhibitors can delay disease progression in mouse models.