Scientist - Biophysicist

Princeton, NJ & Paris, FR
Joined August 2013
Thomas Gregor retweeted
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 🙏🏼
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Thomas Gregor retweeted
Sunny day over wonderful Paris from a terrasse at College de France @cdf1530😎Kick-off meeting 🚀of the @ERC_Research synergy #DynaTrans program with the Gregor @gregorscience @institutpasteur and #Tkacik labs @ISTAustria #gastruloids #chromatin #models #bursts on the menu🤘
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Thomas Gregor retweeted
Please RT 🙏. And join us, will be fun! Paris rocks🤘@cdf1530 @EPFL @the_Node @The3DGenome @3D_Genome @sfbd_biodev
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📢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
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Thomas Gregor retweeted
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 @Nature nature.com/articles/s41586-0…. Thread 👇(1/N)
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Thomas Gregor retweeted
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Thomas Gregor retweeted
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.
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Thomas Gregor retweeted
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
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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
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Thomas Gregor retweeted
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…
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Thomas Gregor retweeted
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…
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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.
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Thomas Gregor retweeted
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 [email protected] 🙏RT
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In which the relationship between #genes, #cells and #embryos is discussed with a focus on what the activities of cells tell us about how we are built and what we are shorturl.at/brxAI @BasicBooks #NotInTheGenes #InNumbersWeTrust #CellRUs
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A mind-blowing paper has come out today in @Nature In 2016, JC Venter Institute scientists trimmed a bacterial genome to its barest minimum required for life to synthesize what they called a "minimal genome" (science.org/doi/10.1126/scie…). Today, a group of scientists from Indiana University reports how that minimal genome evolved over 2000 generations in comparison to the non-minimal genome. The authors found that even when you reduce a bacterial genome to its absolute minimum where every nucleotide matters, the genome undergoes mutational events generation after generation as much as the non-minimal genome. One simply cannot stop the evolution. Just over 300 days of evolution (equivalent to 40,000 years in humans) the minimal cell has gained everything it lacked in fitness on day one in comparison to the non-minimal cell. When comparing the evolved traits between the minimal and non-minimal cells, the scientists found something striking. The evolutionary process increased the cell size of non-minimal cells but not that of the minimal cell. But that is not the striking part. The scientists were able to identify the key mutation that resulted in cell size evolution. And it turned out that the mutation that helped the non-minimal cells to grow bigger is the same that helped the minimal cells to stay smaller. Growing bigger had a survival advantage for non-minimal cells and not growing bigger had a survival advantage for minimal cells. So, the mutation had a context-dependent effect. This just demonstrates that the evolutionary effects on traits have no absolute direction. All that matter is what is beneficial for the organism's survival. The conclusion of the paper is metaphorically a quote from the Jurassic Park movie: “Listen, if there’s one thing the history of evolution has taught us is that life will not be contained. Life breaks free. It expands to new territories, and it crashes through barriers painfully, maybe even dangerously, but . . . life finds a way". (scienmag.com/artificial-cell…) nature.com/articles/s41586-0…
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Thomas Gregor retweeted
🔬🧬 Excited to share our latest study science.org/doi/10.1126/scie… @ScienceMagazine developing ChromExM which uses expansion microscopy to visualize the chromatin, transcription, RNA POL II and pioneer factor Nanog during genome activation.
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#Science #Biologie "Les temps du développement embryonnaire / The Times of Embryonic Development" 🖥️ Les vidéos du colloque organisé par le Pr Denis @Duboule, titulaire de la chaire Évolution du développement et des génomes, sont disponibles. 👉 college-de-france.fr/fr/agen…
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Thomas Gregor retweeted
We see early signs of a Gravitational Wave background in our combined dataset with @EPTAGW. These results corroborate with those from @NANOGrav and PPTA @CSIRO_ATNF @ARC_OzGRav Read along in this thread to know this discovery was made and it's consequences!
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Thomas Gregor retweeted
June 20th in Paris: 'The Times of Embryonic Development’ A symposium at Collège de France @cdf1530. Open, no registration, super speakers 👇🏼@PourquieO @DesplanLab @briscoejames @EbisuyaMiki @VanderhaeghenP2 @maitrejl @Anissakempf @gregorscience @the_Node @LecuitLab
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