Single cell transcriptional profiling of > 80,000 cells revealed disease-linked gene expression changes that occur in different brain cell types.
Mapped the transcriptional landscape of mouse bone marrow microenvironment both at homeostasis and under conditions of stress-induced haematopoiesis revealing previously unappreciated levels of cellular heterogeneity and considerable transcriptional remodelling under stress conditions
Used spatial RNA sequencing to define transcriptomic changes in different regions of the spinal cord of a mouse ALS model and a postmortem human ALS spinal cord. Identified disease-associated pathways and established the key steps in motor neuron degeneration observed in ALS.
Single-Cell Transcriptomics Uncovers Glial Progenitor Diversity and Cell Fate Determinants during Development and Gliomagenesis
Single cell transcriptional profiling uncovered distinct intermediate glial progenitors in the neonatal mouse brain and identified their malignant counterparts in mouse and human gliomas.
Characterize the CD4+ T cell compartment in the human fetal intestine and found evidence for the generation of memory-like CD4+ T cells in the human fetal intestine that is consistent with exposure to foreign antigens.
Using single cell and bulk RNA sequencing, charted the evolutionary architecture of the innate immune response and found that genes that diverge rapidly between species show higher levels of cell-to-cell expression variability than genes that diverge more slowly.
Spatially Resolved Transcriptomics Enables Dissection of Genetic Heterogeneity in Stage III Cutaneous Malignant Melanoma
Spatial Gene Expression assay was used to better understand melanoma lymph node metastases which revealed a complex transcriptional landscape in a localized context; may help in better understanding the multiple components of melanoma tumor progression and therapy outcome
Performed single-cell transcriptional profiling combined with T cell receptor sequencing in 27K T cells and characterized populations with unique combinations of clonotypes.
Profiled gene expression in an unbiased manner using Spatial Transcriptomics technology in prostate cancer tissue. Extracted distinct expression profiles for various tissue components, including immune infiltrates and tumor
Studied the transcriptomes of 3,663 CA1 neurons, revealing 10 major GABAergic groups that divided into 49 fine-scale clusters. All previously known and several novel cell classes were identified.
Analyzed patterns of RNA expression in mouse brain and human breast cancer enabling a new way of analyzing all gene expression while preserving tissue morphology with implications in diagnostics, research and novel target identification
*Pre-prints are available at BioRxiv.