Erin Soon

Very excited to have our work out in @Nature today – a huge effort with @MikeAngeloLab @Inna_Averbukh @ShirleyGreenba1 @_hubmap 🤰🤰 Check it out here! nature.com/articles/s4158…

Excited to see this published! Check out Pixie, a pipeline for quantifying non-cellular features (as well as improving cell classifications) in multiplexed images. nature.com/articles/s4146…

The second annual Spatial Biology Workshop is just two weeks away! This free event will showcase the power of spatial techniques to answer biological questions. We'll be showcasing new methods for data generation and analysis, as well as the novel findings they enable (1/x)

A paper published in @Nature presents a reference cell map for the human maternal–fetal interface (where placenta and maternal cells coexist), which is part of the Human BioMolecular Atlas Program (HuBMAP) published across the Nature Portfolio journals. go.nature.com/3Dm0RUY

Nature research paper: A spatially resolved timeline of the human maternal–fetal interface go.nature.com/44O7TgO

Our new @_hubmap study examining how the maternal fetal interface is established in human pregnancy is out! Big effort led by @Inna_Averbukh, @ErinSoon_ , @ShirleyGreenba1. So proud of the beautiful study they completed! nature.com/articles/s4158…

Come check out #_hubmap’s new body of knowledge and discoveries in the newly released @Nature paper package – Da Vinci himself would give us a Mona Lisa smile for this renaissance of technology and imaging! nature.com/articles/s4155…

This week in Nature: Body image - HuBMAP initiative maps human organs at single-cell resolution Read the full issue: nature.com/nature/volumes…

Thrilled to share the preprint from my postdoc work in the @Bendall_Lab with @MikeAngeloLab and Thomas Montine at @StanfordMed looking at human microglia in situ in #aging and #Alzheimers disease by multiplexed proteomic imaging! shorturl.at/agCN0

We're excited to announce that the 2nd annual Spatial Biology Workshop will be taking place August 28th-30th at Stanford. The workshop will cover new techniques and tools for generating and analyzing spatial data, as well as new biology discovered using spatial methods.

Excited to share that our work on regional T cell clonal responses to immune checkpoint blockade is out now! Very grateful to @AndrewChowMDPhD, Matthew Hellmann, @Satpathology, and all other co-authors for this wonderful collaboration. Check it out here! authors.elsevier.com/c/1gqic_Ywcvmm…

Better late than never! Happy to share this work alongside my co-authors including @StevenTangPhD @grahamserwin out now @JBC. Initially, we were interested in studying the gp41 pocket of HIV-1, a highly conserved drug/vaccine target..🧵(1/5) doi.org/10.1016/j.jbc.…

Excited to share my preprint with @Bendall_Lab and @WJGreenleaf on novel human lymphoid progenitors! Turns out they had been misidentified as myeloid progenitors thus far. Check out how we revealed their true identity in the tweetorial below 🧵biorxiv.org/content/10.110…

Excited to share the latest preprint with @MikeAngeloLab! While imaging studies often focus on cell objects, images capture significant info outside of cells. Enter Pixie, a pipeline for the quantitative annotation of both pixel and cell level features🧵biorxiv.org/content/10.110…

Cell Patterns interviewed David and I for the "People of Data" article in their August issue! We talk about our journey as (data) scientists, how the HSS-LDA project started, and more. Check it out to learn a bit more about us beyond the research! cell.com/patterns/fullt…

Thrilled to share that our HSS-LDA manuscript is out in Cell Patterns! Supervised dimensionality reduction for exploration of single-cell data by Hybrid Subset Selection - Linear Discriminant Analysis (HSS-LDA) cell.com/patterns/fullt…

Our review on mass cytometry methods is out! Plenty of tips/tricks and insight into applying MC to your research. Check it out on early access at authors.elsevier.com/a/1ebUL3QxxSnI… and a BIG thank you to my co-first author @kimmey_sam with support from @Bendall_Lab!

Today I and @kausaliavbosse are thrilled to announce our @Bendall_Lab preprint profiling spatial proteomic imaging of single-cells and proteopathy in human neuropathology! #MIBI #NeuroTwitter #systemsbio biorxiv.org/content/10.110… (1/13)