Danielle Ashley Dionne

This study uses single-cell transcriptomics to show that heterochronic parabiosis alters aging signatures in multiple brain cell types, with endothelial cells showing significant transcriptional changes.

This study uses single-cell RNA-sequencing to analyze fetal bone marrow development and identifies disruptions in hematopoiesis in Down syndrome.

The paper identifies obesity-related TREM2high macrophages in diabetic mouse and human kidney through single-cell transcriptomics and cross-species comparison.

This study constructs a single-cell and spatial atlas of the choroid plexus in developing and adult mice, revealing cell types, regional gene expression, and cell-cell interactions.

The paper uses Perturb-seq to assess the phenotypic impact of somatic variants in cancer, revealing a continuum of gain-of-function KRAS variants.

This study uses single-nucleus and spatial transcriptomics to analyze pancreatic cancer before and after neoadjuvant treatment, revealing changes in cell states and immune infiltration that may inform therapy.

The paper examines ACE2 expression in kidney cells in relation to RAAS blockers and age/sex, finding age-related differences and associations with drug use.

The paper develops a toolbox for scRNA-Seq and snRNA-Seq of fresh and frozen human tumors, testing it across eight tumor types and optimizing protocols for different tissue characteristics.

The paper uses single-cell RNA-Seq to assess kidney organoid reproducibility across iPSC lines and shows transplantation reduces off-target cells.

This study uses single-cell transcriptomics to analyze aged mouse brains, identifying cell-type-specific aging signatures and highlighting molecular processes like ribosomal biogenesis.

The paper profiles the enteric nervous system of human and mouse colon at single-cell resolution, revealing diverse neuron subsets and shared transcriptional programs between species.

The paper introduces a method to multiplex single-nucleus RNA-seq using barcoded antibodies, reducing costs and enabling large-scale studies.

The paper uses single-cell transcriptomics to map hematopoiesis in human fetal liver, identifying cell differentiation trajectories and shifts in hematopoietic composition during development.

The paper was withdrawn due to the inclusion of confidential information about a third party.