Erik van Nimwegen
@erikvannimwegen.bsky.social
1.7K followers 250 following 310 posts
Gene regulatory networks and genome evolution. How do single cells make up their minds? @[email protected] @NimwegenLab on twitter. Sorry X.
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Reposted by Erik van Nimwegen
davidbrueckner.bsky.social
Come join us in Basel! @biozentrum.unibas.ch is an amazing place to start your group.
biozentrum.unibas.ch
Assistant/Associate Professor in Structural Biology, Biophysics or Biological Imaging

www.biozentrum.unibas.ch/open-positio...

#biozentrum #University #Basel #Professor #Structural #Biology #Biophysics #Biological #Imaging
erikvannimwegen.bsky.social
Please let us know what you think. And much agreed on Bach and Vermeer (maybe I should give Proust another try).
erikvannimwegen.bsky.social
Are you excited to pursue your own research interests and contribute to our group’s experimental research in the quantitative biology of microbes? We have an opening for a potentially permanent position as research associate.
Please repost and notify potential candidates!
biozentrum.unibas.ch
Research Associate (100%)
Starting from 1 November 2025 or as per agreement

Group @erikvannimwegen.bsky.social

@biozentrum.unibas.ch
@unibas.ch

www.biozentrum.unibas.ch/open-positio...

#job #research #biology #microbiology #science #basel #recruiting #career
erikvannimwegen.bsky.social
and includes accurate error-bars on all estimates.

We believe RealTrace can dramatically enhance the power of time-lapse microscopy data by allowing identification and quantification of far more subtle features in the dynamics than is possible with simple data smoothing approaches. n/n
erikvannimwegen.bsky.social
Surprisingly, protein production rates adapt to their new steady-states far more quickly and with only a minimal transient.

RealTrace can be applied to essentially any time-lapse fluorescence microscopy data and gives accurate estimates of instantaneous growth and volumic GFP production rates, 10/n
erikvannimwegen.bsky.social
Finally, upon a sudden `downshift' in nutrients, we see very reproducible time-dependent responses across single cells. All cells go almost into growth arrest, then overshoot in growth rate, only to relax to a final growth rate over a time scale of 3 cell cycles. 9/n
erikvannimwegen.bsky.social
minimum early in the cell cycle and a maximum late in the cell cycle. In contrast, protein production rates show more complex patterns that vary across conditions and across promoters, even across constitutive promoters!
As far as we are aware, no current models can explain these patterns. 8/n
erikvannimwegen.bsky.social
time, and in slower growth conditions, both the amplitude and duration of these fluctuations increases.

Second, both growth rate and volumic protein production vary systematically across the cell cycle. Interestingly, the variation in growth rate is the same in all conditions, with a 7/n
erikvannimwegen.bsky.social
We use data from E. coli cells carrying fluorescent reporters of constitutive and ribosomal genes, growing in a microfluidic device in different conditions, to highlight the kind of subtle patterns RealTrace can uncover.
First, instantaneous growth rates vary substantially across cells and 6/n
erikvannimwegen.bsky.social
RealTrace is very generally applicable, which we demonstrate by applications to data from E. coli cells, mouse embryonic stem cell nuclei (data from the lab of @davidsuter.bsky.social), and entire C. elegans larvae (data from the lab of @betowbin.bsky.social). 5/n
erikvannimwegen.bsky.social
are correlated on short time scales, all measurement errors are independent. We implemented this idea into a rigorous Bayesian procedure that uses maximum entropy process priors and recursively approximates the non-linear dynamics over short time intervals. 4/n
erikvannimwegen.bsky.social
We can't fit the data to particular curves because we typically don't know what form the dynamics will take, and local smoothing systematically distorts the true dynamics by replacing it with a time average.

RealTrace solves this challenge using only one assumption: while biological changes 3/n
erikvannimwegen.bsky.social
Tracking the behavior of single cells using fluorescence time-lapse microscopy is becoming increasingly popular but there is a fundamental challenge in analyzing such data: as biological changes are small on short time scales, much of the true dynamics is hidden under measurement noise. 2/n
Reposted by Erik van Nimwegen
davidbrueckner.bsky.social
We're looking for highly motivated candidates for PhD positions in the physics of living systems.

Our group uses theoretical physics to understand how cells collectively self-organize.

If you're interested, get in touch & check out the Biozentrum PhD Fellowship program, deadline October 12th!
biozentrum.unibas.ch
Apply now for the prestigious and independent #BiozentrumPhDFellowships. Great science. Unique rotation-based selection of research group and other incentives. The summer call is open until October 12, 2025. bit.ly/4caiqqX @biozentrum.unibas.ch @unibas.ch #fellowship #PhD#Switzerland
Biozentrum PhD Fellowships
Share your passion for life sciences. If you are talented and highly motivated, want to broaden your horizons and are interested in a wide range of research topics, apply for one of the sought after B...
bit.ly
Reposted by Erik van Nimwegen
biozentrum.unibas.ch
Join us for an exciting #BiozentrumDiscovery lecture!

Prof. Tami Lieberman from @mit.edu will speak about the dynamic selective landscape of human microbiomes. Her lab studies microbial evolution in real time, with a focus on mutations occurring within individual human microbiomes.
erikvannimwegen.bsky.social
Anybody taking bets on how obvious the cherry-picking/p-hacking is going to turn out to be to obtain this supposed association?
I'm personally going with: mind-blowingly glaringly obvious. Like 'My mouth is wide open but I still cannot breathe at the stupidity of it' obvious. But hey, who knows?!
Reposted by Erik van Nimwegen
mihaelazavolan.bsky.social
Hey there, #mRNAtranslation buffs! Our latest multi-faceted dataset from liver cancer cell lines is out in #ScientificData: RNA-seq, ribosome run-off/ribo-seq, polysome-seq, pSILAC. rdcu.be/eC86H. Great team effort spearheaded by Asier Gonzalez Sevine and Niels Schlusser. Happy data crunching!
Multi-omic assessment of mRNA translation dynamics in liver cancer cell lines
Scientific Data - Multi-omic assessment of mRNA translation dynamics in liver cancer cell lines
rdcu.be
erikvannimwegen.bsky.social
Are you saying that is bad? I already KNOW I'm interested in your lab.. I just used the LLM to help me express it.
erikvannimwegen.bsky.social
I agree many of the unprocessed foods were poorly presented. But I think one can’t conclude from that that it must taste bland. I remember after first coming to the US having birthday pie. Extravagantly colorful and shiny. But it tasted much more bland than the pies I got in Europe.
erikvannimwegen.bsky.social
I feel the thread is vastly exaggerating how much better the processed food looks. In some cases, just based on looks, I would prefer the unprocessed one.
Maybe this study is evidence of imprinting of US citizens on what ‘tasty’ food is supposed to look like.