Adriaan Verhage

@KamounLab Nematode RXLR effector 🤩🪱💮

Oomycetes are not nematodes 😱

Hier even #boerderijvlogje als reactie op het krantenartikel van @ministerLVVN en een vooruitblik op de brief van as vrijdag. 2 Jaar gespendeerd, eigen tijd, boeren op 1 lijn en klinkend plan. Met gewenste doelen en realiseren opgaven.. Plan kan na vrijdag waarschijnlijk 🚮🤬

What tech advances are you excited about and what change do you think they might bring about? @CropNetwork @ncipmc @Seb_EvdA @camplantsci

During a trip to Iowa last month I sat down with Ed from the "I see dead plants" for a podcast. We mostly discuss work in the lab on 3D printing, AI, and phenotyping plant-nematode interactions. A short, and links to the full podcast, below.

Happy Friday! Imagine developing a new organ at the bidding of a parasite! 🎧 Listen now: Spotify: [open.spotify.com/episode/6JmRHL…] Apple Podcasts: [podcasts.apple.com/us/podcast/s5-…] YouTube: [@CropProtectionNetwork" target="_blank" rel="nofollow noopener">youtube.com/@CropProtectio…] #Nematology #PlantPathology #MachineLearning #ArtificialIntelligence #AgTech #3DPrinting #PlantScience #Agriculture #AgPodcast @CropNetwork @ncipmc @Seb_EvdA @camplantsci

🪱🔬💻🎙️ New Podcast Episode! What happens when cutting-edge technology meets one of agriculture's most important microscopic pests? In this episode, we explore how researchers are using machine learning, artificial intelligence, advanced imaging, and even 3D printingto revolutionize the way we study plant-parasitic nematodes. From collecting better data to creating new tools for research, these technologies are helping scientists uncover insights that were once impossible to see. Join us as we discuss the future of nematology and how innovation is transforming our understanding of these hidden threats beneath our feet. 🎧 Listen now: Spotify: [open.spotify.com/episode/6JmRHL…] Apple Podcasts: [podcasts.apple.com/us/podcast/s5-…] YouTube: [@CropProtectionNetwork" target="_blank" rel="nofollow noopener">youtube.com/@CropProtectio…] #Nematology #PlantPathology #MachineLearning #ArtificialIntelligence #AgTech #3DPrinting #PlantScience #Agriculture #AgPodcast @CropNetwork @ncipmc @Seb_EvdA @camplantsci

Zo met je eens @Luuk_DC Het is een schande dat Infrastructuur en Waterstaat wordt afgepoeierd met een fooi, terwijl er tot 2040 80 miljard te weinig op de begroting van dat ministerie staat om alles wat moet gebeuren uit te voeren. Tijdens een debat brak ik daar de staf over👇🏼

For everybody who attends ESN in Egmond aan Zee; shirts are available as of today!

Get ready for the ESN2026 Gala Dinner!

My home country Scotland 🏴󠁧󠁢󠁳󠁣󠁴󠁿 NO cervical cancer cases detected in vaccinated women following HPV immunisation! None! Zero! What a stunning achievement ! The HPV vaccine ie a modern medical miracle!

After years of debate, Europe is finally close to approving New Genomic Techniques (NGTs). A vote in the European Parliament is now just weeks away. Yet the biggest threat to their adoption may no longer be an outright ban, but a growing web of bureaucracy. As policymakers enter the final vote, they must ensure that Europe does not approve these technologies on paper while regulating them out of existence in practice. Europe is facing an increasingly difficult agricultural challenge: producing enough food while reducing environmental pressures, adapting to climate change, and strengthening the resilience of its food system in a world that becomes more hostile by the day. Innovations like NGTs are a critical part of the solution. In February 2024, together with scientists across Europe, we urged MEPs to vote yes to supporting NGTs. Now we need your help to finish the job. Act now: act.weplanet.org/p/eu-support-a…

Hier het hele verhaal voor de politici en journalisten Natuurkwaliteit Waddenzee (bewust) negatief gemaakt door o.a. de waddenacademie 👇👇

In this research led by our colleagues in Croatia, we describe the complex centromere organization in root-knot nematode chromosomes and the difference between polyploid and diploid species. Paper published in Genome Biology: doi.org/10.1186/s13059…

Check out our latest work! AlphaFold 3 revealed a transient immune receptor complex that eluded biochemical studies for almost a decade🤯 We describe a conserved structural logic underlying sensor–helper communication in an NLR immune receptor network 🧵👇 biorxiv.org/content/10.648…

Wat heeft de leveringszekerheid van energie in Nederland te maken met het tv-programma 'Help, mijn man is klusser!'. Alles. Zie mijn bijdrage vanmiddag in de Tweede Kamer...

A 40-year-old patent has finally been brought to life. That's the Y-zipper. A 3D-printed three-sided fastener that transitions any object from flexible to rigid and back again. The robotics application is the one that caught my attention. A quadruped robot that adjusts its leg stiffness depending on terrain, switching between rigid and flexible in real time without additional motors or complex mechanical systems. But this goes way beyond robotics. A wrist cast that loosens during the day and stiffens at night. A tent that pops into shape in 90 seconds instead of six minutes. The idea sat in a patent filing for four decades. It took 3D printing to finally make it real. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com

Paco Sabio, técnico especialista de Natural Green, nos presenta Tirian RZ, el portainjerto de tomate con resistencia a rugoso 🔗 youtube.com/shorts/OOHASGc… 🌱 Con cerca de 1,5 millones de injertos realizados, destaca su facilidad de manejo y la ausencia de problemas en el proceso

🐠 Everything we know about biology has been built on an incomplete picture. DNA tells us what a cell might do. Proteins tell us what it’s actually doing. Pumpkinseed announced their $20M Series A today (led by Future Ventures and NfX) to build the platform that reads proteins directly—for the first time. Proteomics has always faced a fundamental constraint: you can only measure what you already know to look for. The current workhorse, mass spectrometry, requires matching protein fragments against reference databases. If a protein isn't in the database, or doesn't ionize reliably, it's invisible. Other approaches rely on fluorescent labels or antibody-based affinity methods, which introduce their own biases and blind spots. The result is a field that has spent decades generating an increasingly detailed map of a small, well-lit corner of the proteome, while biology’s most important data layer remains hidden. This isn't a sensitivity problem. It's a category problem. Existing tools were never designed to read proteins directly de novo. They were designed to find what researchers already suspected was there. Pumpkinseed is built to find everything else. And proteomics is harder than most people outside the field appreciate. When we account for post-translational modifications, non-canonical amino acids, and glycan decorations, there are roughly a thousand distinct chemical monomers in the proteomic alphabet, compared to the four bases of DNA. deSIPHR (de novo Sequencing and Identification of Proteins with High-throughput Raman spectroscopy) is Pumpkinseed's proprietary nanophotonic chip platform, fabricated with semiconducting manufacturing. With over 100 million sensors per square centimeter, it reads proteins, known or unknown, letter by letter — amino acid by amino acid — without a reference catalog of proteins, and at high-throughput. The result is direct, high-resolution proteomic data, including post-translational modifications, non-canonical amino acids, and single-cell detail, that mass spectrometry-based approaches cannot match. What is Raman spectroscopy? Rather than tagging or fragmenting proteins, Raman spectroscopy reads the molecular vibrations of individual molecules. Each amino acid vibrates at a characteristic frequency, producing a unique physical signature that deSIPHR detects directly. This is physics reading biology in the most literal sense. With conventional Raman spectroscopy, only about one in ten million photons interacts with a molecule usefully, far too weak for single-molecule work. Pumpkinseed's answer is a silicon photonic chip patterned with a billion sensors per wafer. Those sensors concentrate light into volumes smaller than a single protein, amplifying Raman scattering efficiency by over 10 million-fold. And their future ventures? “The longer-term ambition is the virtual cell, a computational model that simulates not just how proteins fold but how they interact, respond to drugs, and behave under perturbation inside a living system. AlphaFold demonstrated what structural AI can do once a sequence is known. The gap that cannot be closed is determining the sequence itself from biological samples, particularly for proteins carrying modifications absent from existing databases. Pumpkinseed is designed to supply that input layer. "If the Human Genome Project was the data infrastructure that enabled genomic medicine, we believe the high-resolution proteomic dataset Pumpkinseed is building could be the analogous foundation for AI-driven biological discovery," co-founder Dr. Jen Dionne says. "In our vision, the molecular signatures driving disease, aging, and ecosystem health become fully legible. Medicine shifts from reactive to proactive. Optimal healthspan moves from aspiration to achievable reality." —synbiobeta.com/read/pumpkinse… • The biology mining company: Pumpkinseed.Bio • Today’s News: pumpkinseed.bio/news/pumpkinse…