@HMSgenetics professor studying RNA dynamics across the cell, including transcription, mRNA processing, and mitochondrial gene expression. @Stanford physics PhD
I'm thrilled to see the cover of @NatureSMB this month! My sibling Leidy Churchman made this special painting to illustrate our latest work on the packaging of mitochondrial DNA. Both works are nicely described in the "Musings on art and science" editorial
https://t.co/qovSVFRxyq
We’re bringing new capabilities to GPT-Rosalind, a model series purpose-built for life sciences research at enterprise scale.
It brings GPT-5.5’s agentic coding and tool use together with stronger intelligence for drug discovery, analysis, design, and experimental workflows.
https://t.co/SrAJ3Mt7ka
Characterizing AI-designed proteins requires quantitative biochemistry at massive scale. Enter Amplicon/Protein Bead Display (APB-Display), a fully in vitro platform that quantifies Kd's for >100,000 variants in <3 days (preprint link below!) @Stanford_ChEMH@czbiohub (1/n)
11/ Together, our results suggest that SRSF1 coordinates splicing, transcription, and 3′-end processing to shape mRNA isoform identity.
Thanks to @anafiszbein and team for their help!
Read the preprint here: https://t.co/C3PREXF36Q
1/ Preprint alert 🚨🚨🚨 How do cells decide where an mRNA should end?
And how is that decision coordinated with splicing and transcription while the RNA is still being made?
Here's what first author @HopeMerens found 👇
10/ These effects also appear relevant beyond cell lines.
In breast cancer tumors, lower SRSF1 levels are associated with more distal alternative last exon usage, consistent with what we observe after SRSF1 depletion.
Today we report single-cell APEX-seq (scAPEX-seq) — a new method for unbiased mapping of *subcellular* transcriptomes at single-cell resolution. This approach reveals cell states that are not detectable by standard scRNA-seq, and enabled us to identify regulators of CAR T function that improve solid tumor killing.
https://t.co/iAJUj6jBQ4