1/ Excited to share our new study with @Brumbaugh_JB, now out in @NatureBiotech! P-bodies selectively sequester RNAs encoding cell fate regulators, often from the preceding developmental stage. Releasing these RNAs can drive changes in cell identity. 🧵 https://t.co/D7fnkJgNQ6

Big news: The Vicković Lab’s (@NYGCtech) study on colon aging has been accepted by @NatureBiotech! The team built a detailed atlas of aging colon tissue, using spatial transcriptomics + a new tool (cSplotch) to profile ~1,500 samples & 400k nuclei. Link: https://t.co/MjiQGVdUrY

Unraveling the genetic landscape of susceptibility to multiple primary cancers @PoojaMiddha21 @GeneticsSociety @HGGAdvances #ASHG25

Decoding tumor heterogeneity: A spatially informed pan-cancer analysis of the tumor microenvironment https://t.co/WdCPOYADEF @CellRepMed @KU_Leuven 🇳🇱

Super excited re: first Shendure/Baker Lab collaboration & preprint on a multiplex sequencing-based strategy for screening de novo proteome editors in mammalian cells. Kudos to brilliant Chase Suiter & @Green_Ahn @UWproteindesign on the work! Preprint: https://t.co/7gh8ZtcKUO

Big, beautiful trees!! SMART-PTA for whole-genome+transcriptome on thousand of single cells from the normal human esophagus 🤯 Massively scaling up the power of scWGS to build deep phylogenies and chart somatic evolution from birth throughout life. https://t.co/pciw5yME0x

What if we could analyze single-cell data from hundreds of samples without first clustering cells into predefined types?@naturemethods @UCBerkeley @Columbia "Deep generative modeling of sample-level heterogeneity in single-cell genomics" • Researchers developed MrVI

🚨New paper alert!🚨 Cells integrate signals into decision-making. But how do levels of signaling influence cell-fate transitions? Is more always better? Or is there an “optimal” level for cell-fate programming? If we could tune signaling, could optimize production of neurons?

Just out in the Journal of Clinical Oncology! @JCO_ASCO A paradigm changing paper on MGUS and Smoldering Myeloma @FrancescoMaura4 And it’s Open Access!! https://t.co/XgIW0EyrC9 KEY FINDINGS: 1) We identify for the first time myeloma defining genomic events to differentiate

1/ 🧵Happy to share our preprint from @WJGreenleaf’s Lab: beCasKAS, our method to directly detect #CRISPR base editor off-targets in primary cells. We additionally show how non-coding edits can be triaged for epigenetic dysregulation using deep learning. https://t.co/i7eHqKXrje

Just out in the New England Journal of Medicine! Our comprehensive Review on MGUS: Monoclonal Gammopathy of Undetermined Significance @NEJM https://t.co/vu9REOKBPS 5% of people over age 50 have MGUS. Every physician needs to know and understand MGUS. Lots of Tables and

Our RAEFISH spatial transcriptomics technology is now published in Cell @CellCellPress! RAEFISH enables sequencing-free whole genome spatial transcriptomics at single molecule resolution. This work represents the first time that transcripts from more than 23,000 genes were

Excited to share that my PhD thesis work is out in @ScienceMagazine today. We demonstrate robust rearrangement of the human genome using bridge recombinases, performing programmable insertions, excisions, and inversions at megabase-scale.

#CELLFIE for CAR T screening, out in @Nature today—a new mRNA-based platform for screening primary cells. CAR + gRNA library are delivered by lentivirus, CRISPR modifiers as electroporated mRNA. That’s more flexible and effective than existing T cell screening methods. (1/7)

Vintage radio dials from the 1930s

Inheritable 'memory' genes drive #cancer drug tolerance, but their discovery in clinical samples is a major challenge. Our new theory, moving away from Luria-Delbruck, detects them from a *single* scRNA-seq dataset! With #ArchishmanRaju led by @suvranil_1

A 37-year-old woman presented with a 4-day history of pain, swelling, and bruising on the upper portion of her left knee after using a massage gun. She reported no other bruising or bleeding apart from chronic menorrhagia. Closer examination of the patient’s legs showed

3/ This was my first stab at clinical writing, and I enjoyed pushing myself to work through all of the logic behind our clinical decision-making. Most importantly, identifying and treating this patient's underlying disease process very quickly and effectively cured her symptoms!

2/ Thank you to Dr. Ron Berna and Dr. Emily Hejazi (Derm), Dr. Steven Pugliese (PCC), and my mentor Dr. Mia Djulbegovic (H/O) for your collaboration in managing and writing-up this complicated case. Thank you also to Dr. Aileen Ren and @CukerMd for your perspective and support!

1/ Really neat case I helped with on my inpatient hematology rotation at @PennMedicine! Won't say too much to avoid spoilers, but definitely a head scratcher. Thank you to everybody who helped care for her and also Dr. Caren Solomon and @NEJM for a constructive revision process!