Associate Professor, Section for Medical Biotechnology, Technical University of Denmark. Studies ubiquitin signalling in inflammation, metabolism, and disease.

Copenhagen, Denmark
More evidence that LUBAC has functions beyond immune signalling. Our recent study shows that LUBAC and OTULIN regulate metabolic signalling: specifically they govern AMPK signalling to control metabolic adaption, autophagy, and cell death during energetic stress. This suggests that the metabolic symptoms observed in patients with LUBAC deficiency and ORAS, including glycogen storage disease, lipodystrophy, and liver disease, may be caused directly my metabolic dysregulation rather than being secondary to the systemic inflammation. nature.com/articles/s41418-0…
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Rune Busk Damgaard retweeted
This paper is honestly just a litany of complaints, assembled by committee. There are a lot of serious people working on progress studies and how to encourage risk taking in science, from @mattsclancy to @salonium to @RuxandraTeslo The reality is that like most postdocs, I was given a large degree of leeway to craft my own project. My PI sugar daddy funded it all. Now that I have my own lab, I've got another 7 years of runway to work on literally anything I want. With a team of scientists under my supervision. All in all, that's 10-15 years to make a mark and do something worthy of the opportunity I've been given. If I don't succeed, well, skill issue. To me, the most inspiring stories of risk taking in science are stories like Brian Kobilka and Shinya Yamanaka. Kobilka gave up HHMI funding to work on crystallizing GPCRs, ran out of money twice, even offered to cut his own salary. Everyone told him it couldn't be done, pharma had poured billions into the effort and failed. His first generation of postdocs working on the project also failed. But then the next group succeeded. For Shinya, the seminal iPSC paper is a two author paper. There's no collaboration, zero interdisciplinary team, and they were by no means a well resourced lab compared to the other mES powerhouses at the time. The honest reality is that the extreme career pressures of the academic track drive postdocs in particular to be risk averse. Every MIT/Harvard postdoc is asking themselves: what's the surest route to a CNS publication so that I can get that dream job? If you take on a risky project, a bold hypothesis, you're well aware that you're betting your career on that paradigm shifting hypothesis being right. And so the careerist postdocs flock to labs that are willing to spend a $x00k on a scRNA-seq atlas, knowing that going hypothesis free is the surest route to publication. It's a shame because the postdoc corps is the lifeblood of scientific research, the age at which young scientists are at the height of their creativity, skill, and determination. If there's one thing to fix, it is this. As academics, we can do better than to coddle young scientists (ECRs I guess we're called), to lament the unsurmountable obstacles we face, the systemic pressures, the crappy administration, alas! It is not so. We must demand better from ourselves. Such that we are worthy of the public funding that supports us.
🔥Does academia stifle creativity? This new perspective argues that academia is currently structured to select against creativity, intellectual risk-taking and bold ideas. Young scientists – who may be best positioned for new ideas – are particularly incentivized to play it safe.
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What do we make of the statement that 1260 ‘genetic variants’ account for between 4.8%-9.3% of our personality? nature.com/articles/s41586-0…. If you believe, as most media has, that our personality is genetically determined, you are gullible.Short 🧵
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This is total bullshit hype. I'm going to write up a more detailed piece on what this actually is vs. what it's being portrayed to be. But briefly ... 1/
It’s been a week since we revealed AIDO Cell. Here’s some of the coverage that encapsulates the overall mission and reception (🧵):
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I'm looking for a talented, motivated, and ambitious candidate for an open postdoc position in my group at @DTUtweet in the greater CPH area. This call has an emphasis on ML applied within chem/phys and proven skills are desirable. Please share and RT. efzu.fa.em2.oraclecloud.com/…
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Rune Busk Damgaard retweeted
brother you made Facebook one time and have been desperately trying and failing for 22 years to make something as successful again
Mark Zuckerberg says Apple's lack of innovation since the iPhone will lead to its decline "They haven't really invented anything great in a while. Steve Jobs invented the iPhone, and now they're kind of sitting on it 20 years later" "Year over year, I'm not even sure they're selling more iPhones at this point. Part of it is that each generation doesn't actually get that much better, so people are taking longer to upgrade" "They built stuff like AirPods, which are cool, but they've thoroughly hamstrung the ability for anyone else to build something that can connect to the iPhone" "I'm pretty optimistic that because they've been so off their game in terms of not really releasing many innovative things... eventually they'll get beat by someone"
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This is a wild overstatement of what was actually achieved. But “AI successfully remixed a small number of mostly already-observed, largely synonymous mutations and in a few rare cases managed to make it nonlethal” doesn’t sell hype as well
JUST IN: Scientists warn of “urgent” biosecurity concerns after AI successfully designs 16 new viruses capable of replicating inside cells.
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Kind of ironic how one of the main impacts of AI on higher Ed is to force assessment to move towards in person exams, pen and pencil written answers in booklets, device free settings. In other words we are rediscovering the past due to technological advancements.
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I am begging everyone to stop outsourcing your brain to robots. Life is worth living only because we feel and control every part of it. Please don't give away your agency.
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We mustn't let AI erode our humanity. We should not trade connection for efficiency, conversation for content, or family life for optimization.
cool use case of chatgpt work i heard last night: connect your family calendars and explain your kids' interests. every morning for the drive to school, have it make a podcast that talks about one kid's soccer game that afternoon, one kid's upcoming birthday, some news, etc.
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Ein paar Punkte zu Ceuta. Ceuta ist nicht Europa 🇪🇺. Ceuta ist eine Enklave Spaniens 🇪🇸 in Nordafrika im histor. Marokko, ein Überbleibsel der spanischen Kolonialherrschaft. Der Zeitpunkt ist relevant. Spaniens Premier Pedro Sanchez besuchte vor einigen Tagen nach vier Jahren erstmals wieder Algerien 🇩🇿, Marokkos Rivalen in der Region, was dem marokkanischen König 🇲🇦 nicht gefällt. Spanien hat aktuell extrem schlechte Beziehungen zu 🇮🇱 und den USA 🇺🇸. Zwei der engsten politischen Partner des marokkanischen Königs. Dass Israel und die USA ein Interesse an Problemen für Spanien haben, liegt auf der Hand. Die Emotion der Menschen in Ceuta ist echt. Selbst wenn einige geschickt worden wären, versuchen Tausende ihr Glück. Die Jugend sieht in Marokko kaum Zukunft und will um jeden Preis weg. Rechte labern von „Invasion“. Wer in Ceuta einreist - selbst legal - ist offiziell noch nicht in die EU eingereist. Ceuta gehört nicht zum Schengen-Raum und um von dort aufs spanische Festland zu gelangen, braucht man Visum oder positiven Asylprozess. Spanien und Marokko verkündeten bereits, alle Personen zurückzuführen. Das Geschehen hat somit keine konkreten Folgen. Außer dass weltweit gegen Sanchez, Spanien, Migranten und Muslime gehetzt wird. Man kann sich also selbst zusammenreimen, wessen Interessen aktuell bedient werden.
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Better ties with industry during PhD training are a great idea. Four years is not for many fields. A PhD is a research degree. You need to bring a real research project from conception to completion and that often takes more than. Four years.
NSF announced a $47 million investment to expand industry R&D opportunities for Ph.D.s in #STEM. The pilot initiative, led by @teamuidp, in partnership with universities & industry, will support four-year Ph.D. programs with real-world research placements. brnw.ch/21x4woE
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So many to chose from, but here are some of the most legendary USA comebacks after Belgium wiped the floor with the USMNT: 1) "But do you have aircraft carriers?" :
So Belgium beat the US at a kids game. Do you have one of these? Of course you don’t .
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FWIW the term “virtual cell” is neither high-level nor a concept. It’s marketing rubbish that is being used to hype vaporware in lieu of meaningful language that relates to solid science.
With all due respect, I'd like to offer a few points of clarification. First, I have no issue with "shortcut models." In fact, many of my own papers use relatively simple models to solve important real-world problems. If a simpler model ultimately proves capable of capturing complex cellular biology and helping cure disease, I'd be delighted. Science should reward what works, not what is most sophisticated. Second, terms like virtual cells, foundation models, and world models are high-level concepts that describe a class of models rather than a specific algorithm. Similar terminology has emerged naturally in computer vision and NLP as the field evolved. I think it's reasonable to adopt analogous concepts in biology as we explore whether they can unlock similar advances. Whether these ideas ultimately live up to their promise is, of course, an empirical question. Rigorous validation will decide. This is exactly what my original post is about. Healthy skepticism is essential, but so is giving ambitious new directions the opportunity to prove (or disprove) themselves. I don't think we should dismiss a promising research direction simply because the terminology sounds aspirational 🙏🙏
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🚨New preprint!🚨 Lack of specific affinity reagents hinders studies of signalling mechanisms. We show that sdAbs provide a robust scaffold for making linkage-specific ubiquitin binders, exemplified by 2A6, a versatile reagent for M1-linked ubiquitin. biorxiv.org/content/10.64898…
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Listen up. Naomi nails it.
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I’m trying to track down a recent paper I saw discussed here. It reported a substantial fraction of cell type markers (something like ~40–50%) failed to reproducibly distinguish the same cell types across biological replicates. Does anyone know the paper or have the link?
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De er den første årgang, som gennem hele gymnasietiden har haft ubesværet adgang til kunstig intelligens. Gennem anonyme interviews med 25 gymnasielærere giver @berlingske i dag et foruroligende billede af studenternes evne til at læse, skrive og forstå. berlingske.dk/business/det-e…
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I wanted to like QED's new 1% preprint ranking. But the more I looked at the data, the more uncomfortable it made me. Here is my full peer review: open.substack.com/pub/blekhm…
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