Simona Chera & Cell Fate Lab

@cheralab.bsky.social

We are using hiPSC-derived organoids, targeted cell ablation, genetic cell tracing, gene expression tuning and multiomics to study regulators of cell specification decisions and cell plasticity. 📍 UiB Norway 👩🏻‍🎓 UniGe Switzerland https://chera.w.uib.no/

We're very excited to announce the official launch of the Journal of Regeneration. Together with the amazing team from @pensoft.net and my two co-EICs Loriano Ballarin and Buki Rinkevich, it is such a pleasure to share this new platform for bringing together the regeneration biology community.

Journal of Regeneration

 Journal of Regeneration is an international peer-reviewed, Open Access journal aiming to provide a platform for the dissemination of research results on regeneration and tissue repair across phy...

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Still two weeks left to apply for the special "From Postdoc to PI" symposium at the Heidelberg meeting in September! If you're a postdoc and are in the job market, take this opportunity to tell everyone who you are 🐟🧪 There will be a prize an all!

MadScientist@mads100tist.bsky.social · 3mo ago

Deadline extended for the 1st German Fish Meeting to mid-June (woooo) www.germanfishmeeting.org/from-postoc-... and the deadline for the special "Postdoc to PI" session to mid-July (double wooo). There will be a Prize for the best Postdoc to PI talk and for talks and posters throughout the meeting 🧪

Yes, Swiss scientist Fritz Zwicky coined the term “dark matter” which is impressive, but he also coined the term “spherical bastard” to describe people who are bastards no matter which way you look at them, and I think that should be celebrated more.

Data is not transparent! And that's why looking without bias is hard to do. We asked undergrads what correlation they expected between wealth & happiness, before showing them a fictitious dataset. Faced with an identical graph, those expecting a positive correlation were much more likely to see one!

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New Perspective form Rory Maizels & me: "Gene regulatory networks: from correlative models to causal explanations" Gene regulatory networks are supposed to give us mechanistic explanations of development, so why are we drowning in 'hairballs' of statistical correlations? rdcu.be/e7zx7

Gene regulatory networks: from correlative models to causal explanations

Nature Reviews Genetics - In this Perspective, Maizels and Briscoe discuss the limitations of current models of gene regulatory networks and outline solutions to harness data abundance without...

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