Asst. Professor in @compbiopitt. Our lab is interested in cell fate decisions in embryos, noisy signaling and optogenetics.
Joined September 2021
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We’re very excited to share the first preprint from my lab along with @h4rrymcnamara, @BillZJia, @AdamEzraCohen, and Alex Schier. We describe a set of methods for exerting spatial control over Nodal signaling in zebrafish development.
biorxiv.org/content/10.1101/…
Very excited to be a small part of this awesome paper! Congrats @jishnu1729 and @poholeklab!
Excited to present SpaceTravLR, a new framework to uncover functional spatial microniches across contexts. We learn how individual & combinatorial genetic changes rewire regulation & cell-intrinsic + cell-extrinsic signaling across space in tissues. biorxiv.org/content/10.1101/… (1/2)
Nathan Lord retweeted
Our paper is now out in final form at Nature Genetics! For those who missed the preprint, we used large-scale Perturb-seq targeting transcription factors to push primary fibroblasts into diverse transcriptional states, including those observed in cell atlas studies.
We're very excited to have the final version of our paper up in @Dev_journal. We describe a new system for spatial control of Nodal signaling in live embryos. Thanks to Development for a helpful and constructive review process!
Please reach out if you'd like to try our tools!
Optogenetic control of Nodal signaling patterns
Read this Techniques & Resources Article by Harold McNamara, Alex schier, Adam Cohen, Nathan Lord and colleagues:
journals.biologists.com/dev/…
🎥Direct visualization of photopatterning of live zebrafish embryos
Also: check out the awesome accompanying paper from @GetYourChorion that uses our tools to pick apart how Nodal signaling dynamics inform morphogenesis!
journals.biologists.com/dev/…
Nathan Lord retweeted
I wrote a 'Behind the Paper' blog post for @the_Node narrating the origin story of our recent @NatureCellBio paper on recording signals during gastruloid symmetry breaking. have a read if you're curious!
thenode.biologists.com/behin…
Nathan Lord retweeted
Read below for the latest from Emily Ho in my lab on in vivo receptor tyrosine kinase biosensors. This has been a *dream* project, seeing endogenous RTK activity in live embryos for the first time. Surprise: they don't always match those of downstream signaling pathways!
Have you ever wanted to *see* receptor activity in embryos? If so, our new preprint is for you! In it, we showcase a new live-cell biosensor for visualizing receptor tyrosine kinase activity in living embryos – pYtags!
biorxiv.org/content/10.1101/…
Nathan Lord retweeted
My team at Deepmind (protein design) is hiring an experimentalist with enzyme expertise. Please RT and/or apply! I'm happy to answer any questions as well. boards.greenhouse.io/deepmin…
Get in on the ground floor! Working with @h4rrymcnamara was a highlight of my scientific career. He is brilliant, creative, and a joy to work with. His lab is going to do awesome things. Definitely seek him out if you're looking to get into developmental biology for PhD/postdoc.
a personal update: in January, I'm moving to Yale to join @MCDB_Yale and to open my lab in the @WuTsaiYale Institute!
We will investigate multicellular self-organization using synbio tools to read and write developmental signals in stem cell models.
syndevbio.org/
Nathan Lord retweeted
Our paper “Dynamics of morphogen source formation in a growing tissue”
with first authors R. Ho and K. Kishi is published in @PLOSCompBiol 🎉
We show that the floor plate of the vertebrate neural tube forms in two phases: rapid specification followed by growth.
🧵1/7
Nathan Lord retweeted
What if you could find out the history of signaling activity in each cell with a single round of imaging? Wouldn't that be incredible? Well, we thought so too. And that's what we set out to achieve with INSCRIBE in our new preprint. Let’s dive in! 🚀🔬
biorxiv.org/content/10.1101/…
Nathan Lord retweeted
Working on this paper with @h4rrymcnamara was just an absolute pleasure, one of the highlights of PI life so far.
Even better: he'll be starting his own laboratory in just a few months at Yale - so stay tuned for more exciting work from the McNamara group!
Our study decoding gastruloid symmetry breaking is now live @NatureCellBio!
rdcu.be/dVMLG
Thank you to the NCB edititorial team and to our reviewers for a constructive review process which helped improve our study. A thread on updates (1/n):
Nathan Lord retweeted
Check out our latest preprint on FGF/ERK signaling in 2D gastruloids:
biorxiv.org/content/10.1101/…
Nathan Lord retweeted
Thank you @BWFUND for supporting our work decoding stem cell self-organization! Thrilled to join this community of investigators at the interface of the biological and physical sciences. This award will provide a huge lift to my next phase (more news on that soon! 😺)
Announcing the 2024 Career Award at the Scientific Interface recipients buff.ly/3zyLYjp #bwfcasi
Nathan Lord retweeted
So excited to announce our new method for multiplexed RNA imaging in bacterial cells: bacterial-MERFISH! A huge congratulations to the team of @AriSarfatis, Yuanyou Wang, and Nana Twumasi-Ankrah! Check out the following thread or our bioRxiv (biorxiv.org/content/10.1101/…) 1/12
Nathan Lord retweeted
Our latest: a new optogenetic system for precise spatiotemporal control of gene expression
We use it to dissect the dynamics of Shh gradient formation & patterning
A thread 🧵
biorxiv.org/content/10.1101/…
Nathan Lord retweeted
It's new-preprint-from-the-lab day! (In my opinion the most fun + authentic day to celebrate a new publication.) Check it out:
"Large-scale control over collective cell migration using light-controlled epidermal growth factor receptors"
biorxiv.org/content/10.1101/…
Nathan Lord retweeted
Join us for the 2024 Optogenetics Technologies conference in Boston! Outstanding lineup including: @AdamEzraCohen, @KhammashLab, @MoeglichLab @toettch @ProfJohnARogers @DunlopLab @coledeforest , Haifeng Ye + many more.
🗓️Sept. 10-12
Abstracts due 6/7!
aiche.org/sbe/conferences/op…
Nathan Lord retweeted
1/ Our work on unified principles for Topographic Deep Artificial Neural Networks is finally out in Neuron! 7 years in the making. tinyurl.com/2dtkh9fc
