Genomics technologist, Psychiatrist, Associate Professor, Massachusetts General Hospital @broadinstitute. Founder, Curio Bioscience

Joined May 2012
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Evan Macosko retweeted
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/10.1101/…
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Evan Macosko retweeted
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)
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Hear us talk about Slide-tags!
Slide-tags: Combining single-nucleus genomics with spatial measurements 🧬🔬 Hear from @AndyRusss, @jacksonweir4, Naeem Nadaf, and @insitubiology as they describe the development and application of this impressive technology youtu.be/4TJkLI4LINU
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This is such fascinating work. LAMP5+ cells are truly intriguing, for more than one reason!
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Evan Macosko retweeted
I am thrilled to announce that I will be joining the Department of Genetics at Trinity College Dublin (@tcdgenmicro) 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.
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A huge congratulations to Jonah Langlieb, Nina Sachdev, @Naeemnadaff, @KarolBalderrama, Mukund Raj, and Chuck Vanderburg. And grateful for the continued collaboration with @insitubiology We hope (and expect!) our atlas helps accelerate many areas of neuroscience research.
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We now know the locations of cell types in a full mammalian brain. Our work reveals the brainstem’s absolutely stunning cellular complexity. How and why does it arise? Visit braincelldata.org to plot genes, localize types, and get markers. nature.com/articles/s41586-0…
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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)
A new method called Slide-tags lets scientists capture both genetic and location information of individual cells using standard single-cell workflows in the lab. The technology builds upon Slide-seq, both developed by the labs of @insitubiology & @macosko. broad.io/slide-tags
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Replying to @GioeleLaManno
Congrats Gioele! Very well deserved. So excited by what your lab is doing.
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The sharing of data is the only way we will make collective progress on hard problems like AD. Our entire dataset and analysis are available at braincelldata.org Vahid Gazestani’s integration of 27 datasets can be easily imported to answer your own scientific questions.
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Utilizing rare human brain biopsies we address: 1) Which cell types likely make amyloid? 2) How do microglia respond to amyloid and how does this compare to states in mouse models? 3) What neuronal states precede cell death in AD? Paper out today! cell.com/cell/fulltext/S0092…
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Congrats @tkam80, Vahid Gazestani and dear collaborators Ville Leinonen and @LabMalm. Amazingly, Vahid integrated our data with most postmortem datasets: braincelldata.org/resource We hope his work provides a common language for discussing cell types and states in human cortex.
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How does brain tissue change when amyloid first appears in the brain? In rare surgical biopsies, we find a hyperactive neuronal state preceding loss, and evidence of oligodendrocytes, as well as neurons, producing amyloid. biorxiv.org/content/10.1101/…
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Evan Macosko retweeted
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/10.1101/2023.04.01.5…
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Introducing Slide-tags: our new technology for truly single-cell, multi-modal spatial genomics! Had a blast working alongside @AndyRusss, @Naeemnadaff, @macosko, @insitubiology, and the rest of our team on this project! biorxiv.org/content/10.1101/… 1/9
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