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Example uses of braincelldata.org: 1) label transfer your sc data to ours. Get cell type assignments and spatial positions. 2) Find genes or cell types enriched in a region. 3) Retrieve the minimal set of genes needed to define a cell type uniquely (ie for FISH).

Introducing Slide-tags: our new technology for truly single-cell, multi-modal spatial genomics! Had a blast working alongside Andy Russell, Naeem Nadaf, Evan Macosko, Fei Chen Lab, and the rest of our team on this project! biorxiv.org/content/10.110… 1/9

All single cell assays can now be spatial. Slide tags is simple, reliable single cell with hi-res spatial positioning.  A truly outstanding scientific team: Fei Chen Lab, @andyrusss, Jackson Weir, Naeem Nadaf. biorxiv.org/content/10.110…

Single-cell or spatial? Our new technology - Slide-tags - allows both in the same experiment, enabling true single-cell multi-modal spatial genomics ➡️ doi.org/10.1101/2023.0…

Delighted to announce our work developing an approach to understand the function of human microglial states. Martine Therrien and I will guide you through our work, a collaboration with Saša Jereb from Evan Macosko and beth stevens ! nature.com/articles/s4159…

Slide-tags unifies the single cell + spatial genomics worlds. It solves three key problems with existing spatial methods: 1) Cell segmentation (the biggest problem) 2) robustness and scalability (well-powered case-control studies now possible) 3) Multiomics (ATAC, RNA, etc)

Findings "strongly imply that there is no specific link between maternal mental illness or maternal infection during pregnancy" & neurodevelopmental disabilities (including autism) in offspring cambridge.org/core/journals/… free

I am thrilled to announce that I will be joining the Department of Genetics at Trinity College Dublin (TCD Genetics & Microbiology) in summer 2024! My lab will build and apply new tools to understand the formation and function of microglia states in brain health and disease.

Hear us talk about Slide-tags!

How do genetic perturbations change cells? How are these effects shaped by cell type and dosage? How do we best extract insight from modern massive perturbation atlases? Im pleased to share a new preprint where we develop a suite of statistical approaches to these Qs (link below)

We developed an imaging-free spatial genomics technology where DNA barcodes diffuse to connect locally. Using UMAP, we reconstructed the physical locations of these barcodes, transforming spatial transcriptomics into purely molecular biology. biorxiv.org/content/10.110…