Happy to share our collaborative effort showing a temporal decoupling between morphogenesis and transcription during gastruloids self-organization
biorxiv.org/content/10.1101/…
Thanks @LecuitLab@PrakashLab@briscoejames Frank J, Ed M and Aleks W for spoiling us all with an incredible richness of discussions and ideas at the meeting.
Was also quite special that three of us @NCBS_Bangalore colleagues were there together!
Impossible to synthesize what happened for the 1st Solvay conf on biology🤩. We followed the long term vision of its founder. We had a huge fun meeting/discussing such a central problem in biology. We will now work hard on proceedings. A huge thanks to all amazing participants 🙏🏼
We made it: the first paper from the Pasteur lab! Many thanks to a wonderful team for their trust and for accompanying me on this new adventure! You guys rock!
rdcu.be/dBjsO
Gastruloids develop in an artificial context where boundaries are created through spontaneous self-organization. No selection pressure has acted on the system to operate at such high levels of precision. These properties could thus be fundamental features of multicellularity.
Our results reveal developmental precision, reproducibility, and size-scaling for a mammalian system that, unlike, e.g., a fly embryo, is not constrained by fixed boundary conditions (i.e., an eggshell).
We demonstrate an intrinsic reproducibility of the self-organizing anteroposterior body axis in gastruloids, both for growth dynamics and gene expression patterns. The system exerts tight control over expression levels and positions pattern boundaries with single-cell precision.
📢New preprint!
Developmental systems have a remarkable ability to self-organize spatial patterns of different cell types.
How can we quantify the information content & robustness of these self-organized patterns across biological systems?
👉arxiv.org/abs/2312.05895
We are very excited to present a major breakthrough achievement – the de novo design of synthetic enhancers for selected tissues in fruit fly embryos in vivo using deep- and transfer learning, @deAlmeida_BPet al published today in @Naturenature.com/articles/s41586-0…. Thread 👇(1/N)
How well can #GPT4 provide scientific feedback on research papers? We study this Q in our new work arxiv.org/abs/2310.01783
We created a pipeline using GPT4 to read 1000s papers (from #Nature, #ICLR, etc.) and generate feedback (eg suggestions for improvement). Then we compare with human expert reviews.
👍 Most authors found GPT4 generated feedback helpful*
👍 >50% of points raised by GPT4 also raised by >=1 human reviewer.
👍 Overlap between GPT4 and human feedback similar to overlap between 2 human reviewers.
👎 GPT4 can struggle with in-depth critique of study methods; sometimes more generic.
Takeaway: high-quality human feedback still necessary; #LLM could help authors improve early drafts before official peer review**.
Work of a great team led by @liang_weixin@Zhang_Yu_hui@CaoHancheng 👏
*Our survey was opt-in and could have selection bias.
**Reviewers should still engage w/ papers independently w/o relying on LLM.
What we talk about when we talk about climate change. A short(ish) thread.
1. What is presented as climate action is actually action intended to legitimise liberalism in the face of a catastrophe for which liberalism has no answers. Here's how it's done 1/10
The minimum energetic cost associated with intracellular information transfer is far larger than that necessary for the decision-making constraint on the physical conditions under which living systems operate
Letter: go.aps.org/3YwTbc7
Viewpoint: go.aps.org/3OobNXi
PAPER! Come learn how we used synthetic circuits to investigate how specificity is achieved in gene networks, and how to apply these insights to engineer gene circuits with stable, evolutionarily-robust functions. Reported today in @CellCellPress!! 1/n
authors.elsevier.com/sd/arti…
And we are carrying on the detective story in @LabMoris now! 🔎 In fact, we are hiring a postdoc to carry this project forward, so please apply if you ❤️ PGCs and want to play with glds🍤 - or spread the word RT! 🙌 (6/6) jobs.ac.uk/job/DBM422/postdo…
This is why I wrote this article. We need to decide why/which/how/where for data archiving. Otherwise there's a danger of pointless bureaucracy rdcu.be/c6ZWh
Data should be accessible, but the bureaucracy imposed by data sharing is stultifying. Is there a way to allow a "data dump" that becomes organized into a bureaucratic form *upon first request*? Seems like that would be more efficient, given that most data is never reused.
if you are an independent postdoc interested in Dev. Biol, Evo, Gene regul, Chrom structure and you like to join a new lab @CirbCdf in Paris working on long-range gene regulation in ESC-derived pseudo-embryos, please contact Denis.Duboule@College-de-france.fr 🙏RT