Our work on studying chromatin context-dependent regulation of prime editing is officially out on @Cell.
cell.com/cell/fulltext/…

Our latest, by the brilliant Xiaoyi Li, out in Cell, leverages a new method for mapping genomic locations of reporters to discover massive chromatin effects on prime editing (PE). We then use 'epigenetic conditioning' to enhance PE. Paper: tinyurl.com/5n8d9mh2

Excited to share we've recently closed our $5.3m pre-seed led by Yaron Samid 🇮🇱🇺🇸🎗️ at TechAviv 🇮🇱 🦄

See great write-up by Gil Press in Forbes first comment.

Couldn't be prouder of my co-founders Olivier, Jonny, Cliff, and Allon, and the entire team at Somite Therapeutics.

Yesterday I had the pleasure of sitting down with Stephen Quake, Amy Herr, Marion Pepper, and Jay Shendure for a special panel celebrating the launch of the Seattle Hub for Synthetic Biology. The passion, optimism, and commitment to open science was shared by the entire panel.…

This is pretty striking. Take one single cell experiment, split it into random 'batches', correct the batches, and look at change in nearest neighbor cell rank. Big changes (not good)!

🧵One year, three researchers, millions of cells: how a small team created the largest mouse-embryo atlas so far. Read about postdoc Chengxiang Qiu Chengxiang Qiu and research scientist Beth Martin Beth Martin 🌹 from Jay Shendure Jay Shendure's lab here
nature.com/articles/d4158…

What if 1 million scRNA-seq libraries can be prepared within $1k? Here we go 👉 21 million cells from 623 mouse tissues, spanning 5 life stages & 3 genotypes, all in a SINGLE study by ONE remarkable student Zehao Zehao Zhang from our lab Rockefeller University! shorturl.at/epsz7

The Sandbergs do it again! The synthetic thermostable RNase inhibitor is a fantastic compound and after stringent QC we moved all our scRNAseq/ multiome pipeline to use this component
Rickard Sandberg Björn Reinius
biorxiv.org/content/10.110…

Our paper on lineage motifs is now online at Developmental Cell 😀 We hope that this approach will be widely useful for anyone interested in analyzing tree-type datasets!

Our latest out today in nature. We profiled 12 million single cells from mouse embryos spanning gastrulation to birth, defined cell type tree from zygote to birth, and unexpectedly found crazy fast changes within first hour of extrauterine life. OA PDF: rdcu.be/dyDAg

We (with wei yang and Jay Shendure) are thrilled to announce our new paper on the 'human RA-gastruloid' model, showcasing morphologies and transcriptomes akin to E9.5 (mouse) or CS10-11 embryos (biorxiv.org/content/10.110…). (1/n)