Luca Giorgetti lab @FMI
@lucagiorgetti.bsky.social
860 followers 210 following 55 posts
We study transcriptional regulation and chromosome folding using an interdisciplinary approach combining wet- and dry-lab methods. https://giorgettilab.org @fmiscience.bsky.social
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lucagiorgetti.bsky.social
Become our colleague at @fmiscience.bsky.social! The FMI is a very special place to start your lab: a vibrant international institute with world-class research groups and facilities, core funding, fantastic trainees, great colleagues😅, and a collegial culture. Get in touch if you're interested!
fmiscience.bsky.social
🚨 We're hiring, please share! The FMI seeks a tenure-track Group Leader (Assistant Prof) in Structural Biology 🔬
Innovative scientists in genome regulation, RNA metabolism, or protein homeostasis—especially using cutting-edge approaches—apply now at www.fmi.ch/education-ca...
Reposted by Luca Giorgetti lab @FMI
fmattiroli.bsky.social
Join us at the Hubrecht Institute in Utrecht to start your research group! Fantastic scientific environment, strong support, and nice colleagues :) Apply and please share broadly in your network.
hubrechtinstitute.bsky.social
Ready to establish your own research group at the Hubrecht Institute for Molecular and Developmental Biology? We’re seeking a tenure-track group leader to develop an innovative research line within our vibrant scientific community. Learn more & apply! https://f.mtr.cool/jncxfqkuds
Reposted by Luca Giorgetti lab @FMI
fmattiroli.bsky.social
The latest work from ours and @vram142.bsky.social lab is out! True teamwork to visualize nascent chromatin with strand resolution, using a fully reconstituted system. Very proud of superstar-PhD student Bruna, and @palindromephd.bsky.social. Learning so much from Vijay’s amazing technologies! RT
lucagiorgetti.bsky.social
Unfortunately we don't have any data or models to answer your question. If nuclear shape changes affect levels of cofactors that determine extrusion rates (NIPBL,PDS5A/B) this could in principle affect extrusion velocity, but I can't personally point you to any data that support this scenario
lucagiorgetti.bsky.social
The 'encounter radius' is an arbitrary physical range, which we vary systematically - and show that its particular choice doesn't affect any of the conclusions.
lucagiorgetti.bsky.social
As you will see in the manuscript, the only condition for two loci to be 'caught' in an extrusion-driven encounter is that cohesin starts extruding approx. midway between their genomic positions (plus of course that their genomic distance is not much larger than cohesin's processivity)
lucagiorgetti.bsky.social
Thanks for the kind words Anders - indeed this is a very much overlooked issue that also affects interpretation of DNA FISH data. Even small amounts of error make determination of 'interactions' unreliable, as your lab also pointed out earlier e.g. in www.sciencedirect.com/science/arti...
lucagiorgetti.bsky.social
We do not impose any specific range, but rather compute (or measure) any events where the two loci spend time within an arbitrary encounter range (R_e in the manuscript), either mediated by random fluctuations or by loop extrusion...
lucagiorgetti.bsky.social
18/ At large genomic distance, long encounters (=the important ones) are only due to loop extrusion; but at short genomic distance they can also be due to random collisions. This is why enhancers are no sensitive to loss of extrusion when they are close, but sensitive when they are far!
lucagiorgetti.bsky.social
17/ ... and nicely predicts @elphegenoralab.bsky.social @karissalhansen.bsky.social's data at the Car2 locus www.biorxiv.org/content/10.1..., using changes in cohesin occupancy and extrusion velocity measured with @gfudenberg.bsky.social in www.biorxiv.org/content/10.1...:
lucagiorgetti.bsky.social
16/ Finally, this simple model also predicts and explains why, at least within simple genomic locations devoid of further confounding effects, depletion of cohesin or its loading and elongation factor NIPBL affects enhancer function at large, but nor short genomic distance...
lucagiorgetti.bsky.social
15/ This happens because by selecting longer and longer encounters, one selects more and more loop-extrusion-driven events, the probability of which is exponential as a function of genomic distance!
lucagiorgetti.bsky.social
14/ This simple model also predicts that transcription levels should decrease exponentially as a function of genomic distance between an enhancer and promoter, exactly as we verified using data from our previous work!
lucagiorgetti.bsky.social
13/ Strikingly, this simple hypothesis predicts that: 1) average transcription levels should increase nonlinearly as a function of enhancer-promoter contact probabilities, as we and others previously observed: www.nature.com/articles/s41... and also work from e.g. Boettiger, de Laat, Wysocka labs
lucagiorgetti.bsky.social
12/...so the probability that such events result in transcription should thus increase when increasing the time that an enhancer and promoter spend in physical proximity. We thus asked: What if only encounters whose duration exceeds an arbitrary cutoff time are productive for transcription?
lucagiorgetti.bsky.social
11/ But why do we care about these longer-lived encounters? Because -although we don’t know exactly what happens there molecularly- it is likely that regulatory processes at an enhancer-promoter interface take some time to occur, and require multiple proteins to be present at the same time…
lucagiorgetti.bsky.social
10/ …and managed to film cells in 3D every 2s with an error in the xy plan of only ~30nm, many times better than our previous measurements! With this in hand, @nessim and @mattia were able to clearly distinguish the appearance of long-lived encounters exclusively in the presence of cohesin!
lucagiorgetti.bsky.social
9/To achieve the spatial and temporal resolutions needed to distinguish between extrusion-driven encounters and random collisions, we introduced a number of improvements in our oblique-illumination microscope setup including efficient sCMOS cameras, optimized laser lines and dichroic / filter sets…
lucagiorgetti.bsky.social
8/We then asked if we could detect extrusion-driven encounters in living cells. We resorted to a cell line previously established in the lab by @piamach.bsky.social, allowing to measure the distance between two operator arrays separated by 150kb in cells mESC where RAD21 can be inducibly degraded.
lucagiorgetti.bsky.social
7/ NB: these loop extrusion-driven, long-lived encounters are longer than random collisions (up to tens of seconds vs. few seconds at most) but are much shorter than CTCF-anchored loops (10-30 sec).
lucagiorgetti.bsky.social
6/ We showed that these encounters only arise when cohesin loads approximately midway between two loci, extrudes them into the encounter radius, and pushes them out after some time.
lucagiorgetti.bsky.social
5/Mattia also discovered that loop extrusion creates a new class of encounters which are extremely rare, but last substantially longer than random polymer collisions. The duration of such encounters depends explicitly on the velocity of extrusion, and it thus a signature of active extrusion!