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#cryoem — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #cryoem, aggregated by home.social.

  1. Fisk University student Cariuna Ellison's highlight features an eLife publication from Jochen Zimmer's group at University of Virginia School of Medicine that describes the use of Cryo-EM to reveal how CvHAS utilizes a two-step mechanism to navigate the balance between substrate specificity and degeneracy.

    Read more here: medium.com/sbgrid-community-ne

    #SBGrid #CryoEM #Binding

  2. Fisk University student Cariuna Ellison's highlight features an eLife publication from Jochen Zimmer's group at University of Virginia School of Medicine that describes the use of Cryo-EM to reveal how CvHAS utilizes a two-step mechanism to navigate the balance between substrate specificity and degeneracy.

    Read more here: medium.com/sbgrid-community-ne

    #SBGrid #CryoEM #Binding

  3. Fisk University student Cariuna Ellison's highlight features an eLife publication from Jochen Zimmer's group at University of Virginia School of Medicine that describes the use of Cryo-EM to reveal how CvHAS utilizes a two-step mechanism to navigate the balance between substrate specificity and degeneracy.

    Read more here: medium.com/sbgrid-community-ne

    #SBGrid #CryoEM #Binding

  4. There’s a motor on this thing’s tail. 🦠⚙️
    Scientists studied it for 50 years. Last month? They finally figured out how it spins.
    The bacterial flagellar motor. 45 nanometers wide. 30 proteins, self-assembled. Runs on protons, not batteries. Reverses direction instantly.
    After 50 years of work, one researcher said: "My lifelong pursuit is now realized."
    Nature’s nano-engineering. Absolute perfection.

    #BacterialMotor #MolecularBiology #CryoEM #NatureEngineering #ScienceBreakthrough #FlagellarMotor

  5. There’s a motor on this thing’s tail. 🦠⚙️
    Scientists studied it for 50 years. Last month? They finally figured out how it spins.
    The bacterial flagellar motor. 45 nanometers wide. 30 proteins, self-assembled. Runs on protons, not batteries. Reverses direction instantly.
    After 50 years of work, one researcher said: "My lifelong pursuit is now realized."
    Nature’s nano-engineering. Absolute perfection.

    #BacterialMotor #MolecularBiology #CryoEM #NatureEngineering #ScienceBreakthrough #FlagellarMotor

  6. There’s a motor on this thing’s tail. 🦠⚙️
    Scientists studied it for 50 years. Last month? They finally figured out how it spins.
    The bacterial flagellar motor. 45 nanometers wide. 30 proteins, self-assembled. Runs on protons, not batteries. Reverses direction instantly.
    After 50 years of work, one researcher said: "My lifelong pursuit is now realized."
    Nature’s nano-engineering. Absolute perfection.

    #BacterialMotor #MolecularBiology #CryoEM #NatureEngineering #ScienceBreakthrough #FlagellarMotor

  7. There’s a motor on this thing’s tail. 🦠⚙️
    Scientists studied it for 50 years. Last month? They finally figured out how it spins.
    The bacterial flagellar motor. 45 nanometers wide. 30 proteins, self-assembled. Runs on protons, not batteries. Reverses direction instantly.
    After 50 years of work, one researcher said: "My lifelong pursuit is now realized."
    Nature’s nano-engineering. Absolute perfection.

    #BacterialMotor #MolecularBiology #CryoEM #NatureEngineering #ScienceBreakthrough #FlagellarMotor

  8. There’s a motor on this thing’s tail. 🦠⚙️
    Scientists studied it for 50 years. Last month? They finally figured out how it spins.
    The bacterial flagellar motor. 45 nanometers wide. 30 proteins, self-assembled. Runs on protons, not batteries. Reverses direction instantly.
    After 50 years of work, one researcher said: "My lifelong pursuit is now realized."
    Nature’s nano-engineering. Absolute perfection.

    #BacterialMotor #MolecularBiology #CryoEM #NatureEngineering #ScienceBreakthrough #FlagellarMotor

  9. The last couple of weeks, I was busy preparing for the #CCPEM Spring Symposium and then attending it and presenting at it. So I am only finding time now to share a new preprint that went online earlier this month: doi.org/10.64898/2026.04.02.71

    It is about the regulation of CsoSCA, the carbonic anhydrase (CA) found in alpha-carboxysomes. Through a combination of stopped-flow #kinetics, #bioinformatics and #cryoEM, we showed that this enzyme is sensitive to redox conditions. This likely keeps it inactive in the reducing cytosol, where CA activity would short-circuit the CO2 concentration mechanism by turning cytosolic bicarbonate into CO2, which can diffuse through membranes. This redox sensitivity also activates CsoSCA inside mature carboxysomes, because their interior becomes oxidizing as their shell excludes cytosolic reductants.
    Overall, CsoSCA's redox sensitivity conditions its activation to its correct encapsulation in carboxysomes.

    Turns out visualizing a regulatory disulfide by #cryoEM is difficult! In this case, the strongest evidence for it comes from activity measurements and site-directed mutagenesis. But the structures revealed a conformational equilibrium that we would not have suspected, had we not attempted to solve structures of the enzyme in the active and inactive conditions.

    This was excellent team work with first author Nikole and all others, with a real cross-talk between the biochemistry and structures!

  10. Modifying the bacterial strain led to cleaner bacterial expression of a synthetic BRIL antibody that facilitates protein structure determination via both crystallography and cryo-EM #CryoEM #XRayCrystallography #BRIL doi.org/10.1107/S2053230X26001

  11. P2X receptors are ATP-gated #IonChannels that are targets for treating #ChronicPain & #cough. The #cryoEM structure of the human #P2X3 receptor in complex with the negative allosteric modulator sivopixant reveals how it stabilizes inhibitory conformations of P2X3 @PLOSBiology plos.io/4vMWCvy

  12. The human G6P transporter (G6PT) translocates G6P into the #ER. This study solves hi-res #cryoEM structures of #G6PT in both outward-open & dimeric states, providing insights into the mechanistic basis for G6P substrate recognition & transport cycle @PLOSBiology plos.io/4m15UQ5

  13. He also hinted at a new class of synthetic antibiotics that is in current development at Roche. Hopefully there are many more new antibiotics in the future. (7/7)

    #Antibiotics #DrugDiscovery #DrugDevelopment #ChemBio #Chemistry #cryoEM #AMR #Resistance #Bacteria #SAR #Synthesis #Zosurabalpin

  14. Here is a strong candidate for the coolest-looking #cryoEM structure of 2026! 🤩

    Structural basis of supercoiling-induced CRISPR–Cas9 off-target activity

    doi.org/10.1038/s41586-026-102

    #StructuralBiology

  15. How are the receptors in the synapse organized?

    Diego Ortiz-López from the Hermann Schindelin group discussed his research at #Biochemistry2026. He talked about the organization of receptors in the inhibitory postsynapse by organization of gephyrin oligomers.

    biorxiv.org/content/10.1101/20
    #Biochemistry #cryoEM #Structure #Synapse #Chemistry #ChemBio
    CC: @gdch, @GDCh_BioChem

  16. Installation of tRNA modifications is key to protein synthesis.

    In her presentation at #Biochemistry2026, Carine Tisné presented her group's in depth work on structural and functional studies to understand the underlying processes on the example of m1A.

    pubs.acs.org/doi/10.1021/acs.a
    #Biochemistry #RNA #tRNA #Modification #ProteinSynthesis #Chemistry #ChemBio #cryoEM #Crystallography
    CC: @gdch

  17. Managed to meet the March deadline of the #CAHRA2025 #CompHet #CryoEM challenge and submit something!

    I only had time to do a very quick pass, but am very much looking forward to some feedback because it is an interesting dataset with several challenging aspects.

  18. CryoSift is a platform-independent convolutional neural network tool for assessing the quality of 2D averages to enable the automatic selection of suitable particles for high-resolution reconstructions #Automation #DataProcessing #CryoEM doi.org/10.1107/S2053230X25008

  19. New server, new #introduction

    Hi, I'm Dave. I'm a Research #Scientist at a Research Institute in #London, #UK

    I'm a #StructuralBiologist by training. I help run a group that studies #Kinase #signalling in human #health and #disease.

    In my spare time I swear a lot, play #bass and walk #dogs.

    I do #Crystallography #CryoEM #Biophysics #DrugDesign and #Glycobiology. #Science #Research

  20. My first impression is that the heterogeneity isn't going to be the biggest challenge. I'm already pulling my hair over symmetry and anisotropy problems. 🙃

    #CAHRA2025 #CompHet #CryoEM

  21. Pretty excited about this "2025 Community-Wide Assessment of Cryo-EM Heterogeneous Reconstruction Algorithms" #CAHRA2025
    heterogeneity.notion.site/chal

    I started looking at the compositional heterogeneity challenge (#CompHet), some very weird things in there. Curious to figure out what this is. Can't wait to get maps good enough for identification with ModelAngelo.

    Are you also doing it @waldo ? 😀

    #CryoEM

  22. 💪 Could one molecular “typo” break the balance between strength and flexibility in our muscles?

    🔗 Dynamical features of smooth muscle actin pathological mutants: The arginine-257(258)-Cysteine cases. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.02

    📚 CSBJ: csbj.org/

    #ComputationalBiology #MolecularDynamics #ProteinScience #Actin #RareDiseases #PrecisionMedicine #Biophysics #CryoEM #Bioinformatics #DrugDiscovery #VisceralMyopathy #AorticAneurysm

  23. The SAMPREP workshop at the 2023 ACA Annual Meeting in Baltimore was designed to address the need to consoiidate cross-disciplinary best practices for sample preparation into a single forum @Penn #SamplePreparation #StructuralBiology #CryoEM doi.org/10.1107/S2053230X25007

  24. 🤖 What happens when we train AI to see through the noise of cryo-EM imaging?

    🔗 A labeled dataset for AI-based cryo-EM map enhancement. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.06

    📚 CSBJ: csbj.org/

    #AI #CryoEM #StructuralBiology #DeepLearning #OpenScience #ProteinStructures #MolecularBiology #Macromolecules #BigData

  25. 🌀 Could a protein that twists into filaments reveal how cells keep themselves in balance?

    🔗 Cryo-EM structure of AAA + ATPase thorase reveals novel helical filament formation. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.05

    📚 CSBJ: csbj.org/

    #StructuralBiology #CryoEM #Thorase #MolecularBiology #mTORC1 #ProteinStructure #Biophysics #AAAplusATPase #SynapticPlasticity #Mitochondria

  26. 🌀 Could a protein that twists into filaments reveal how cells keep themselves in balance?

    🔗 Cryo-EM structure of AAA + ATPase thorase reveals novel helical filament formation. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.05

    📚 CSBJ: csbj.org/

    #StructuralBiology #CryoEM #Thorase #MolecularBiology #mTORC1 #ProteinStructure #Biophysics #AAAplusATPase #SynapticPlasticity #Mitochondria

  27. 🌀 Could a protein that twists into filaments reveal how cells keep themselves in balance?

    🔗 Cryo-EM structure of AAA + ATPase thorase reveals novel helical filament formation. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.05

    📚 CSBJ: csbj.org/

    #StructuralBiology #CryoEM #Thorase #MolecularBiology #mTORC1 #ProteinStructure #Biophysics #AAAplusATPase #SynapticPlasticity #Mitochondria

  28. Structure of an archaeal ribosome reveals a
    divergent active site and hibernation factor | Nature Micro

    rdcu.be/ewZ3S

    "Ribosomes translate mRNA into protein. Despite divergence in ribosome structure over the course of evolution, the catalytic site, known as the peptidyl transferase centre (PTC) is thought to be nearly universally conserved. Here we identify clades of archaea that have highly divergent ribosomal RNA sequences in the PTC."

    #archea #structuralbiology #ribosome #cryoEM

  29. A precursor procapsid is initially formed during #bacteriophage assembly, but how? The #cryoEM structure of the scaffolding protein complex & portal within #phage P22 procapsid reveals how this complex orchestrates the initiation of procapsid assembly @PLOSBiology plos.io/44B71iE

  30. @posertinlab I have used #CryoSPARC's tree view since forever because it's a lot easier to understand the relationships between jobs. Even when it was slow on large projects, I put up with it because this view is so helpful. Back when I learned single-particle #cryoEM, with #RELION, I used to draw the job graph by hand as I set up new jobs, so I could remain oriented within large projects.

    The performance of the tree view in CryoSPARC 4.6 is really excellent, it's a big improvement in usability compared to previous versions.
    Now the only thing that could make the tree view better is an export function as I described here: discuss.cryosparc.com/t/job-gr

  31. Reading supplementary information of papers sometimes gives nice surprises: I just noticed that two of my EMDB entries were used to train #BlushRegularization in #RELION 😮

    So I could not resist the curiosity to check the list of EMDB entries used to train #ModelAngelo, but this one has none of my entries.

    #CryoEM

  32. Since last month, the #wwPDB @PDBeurope considers preprints as publications that trigger release of the corresponding #PDB entries. This is great! It was always frustrating to see new preprints and have to wait for months until being able to look at maps and atomic models.
    wwpdb.org/news/news?year=2024#

    #StructuralBiology #CryoEM #crystallography #NMR

  33. I just tried the #Phenix integration in #ChimeraX, and it's so convenient!
    Setup video + demo of the interactive use of phenix.douse here: youtube.com/watch?v=DlVgrQTZ5t
    It's really a great time to do atomic model building in #cryoEM maps! All the tools are getting really excellent.

  34. Turns out the postsynaptic densities (PSD) that we use in electron microscopy to identify synapses aren’t made of large protein aggregates but rather of specialised cellular organelles:

    “we combined mouse genetics and cryo-electron tomography to determine the 3D molecular architecture of fresh isolated and anatomically intact synapses in the adult forebrain. The native glutamatergic synapse did not consistently show a high density of proteins at the postsynaptic membrane thought to be characteristic of the PSD. Instead, a ‘synaptoplasm’ consisting of cytoskeletal elements, macromolecular complexes and membrane-bound organelles extended throughout the pre- and post-synaptic compartments.”

    Excellent work by Julia Peukes et al. 2024 elifesciences.org/reviewed-pre

    #neuroscience #synapses #CryoEM #CryoCLEM

  35. Elizabeth Villa's lab delivers big time again with in-cell cryo-electron tomography of the nuclear pore complex:

    "The molecular architecture of the nuclear basket" by Singh et al. 2024.
    cell.com/cell/fulltext/S0092-8

    #CellBiology #CryoEM #ProteinStructure #StructuralBiology

  36. The septal #peptidoglycan hydrolysis machinery is crucial for #CellDivision in #bacteria. This study uses #cryoEM & functional analysis of E. coli FtsEX to characterize the molecular basis of FtsEX regulation of peptidoglycan hydrolysis #PLOSBiology plos.io/3Vndl8E

  37. In this work we use #crystallography and #cryoem to study egg zona pellucida (#ZP) glycoprotein #ZP2, in both its intact (pre-fertilization) and cleaved (post-fertilization) state.

    We also describe the first structure of a heteromeric vertebrate egg coat filament.

  38. Interesting preprint on using a #machinelearning frame interpolation technique originally developed for videos on biomedical image stacks (for spatial interpolation): They claim broad applicability for #MRI, #lightsheet microscopy, #histology and #cryoEM image stacks.

    Generative interpolation and restoration of images using deep learning for improved 3D tissue mapping
    Joshi et al., preprint at biorxiv 2024
    biorxiv.org/content/10.1101/20

    #genai #imaging

  39. Interesting preprint on using a #machinelearning frame interpolation technique originally developed for videos on biomedical image stacks (for spatial interpolation): They claim broad applicability for #MRI, #lightsheet microscopy, #histology and #cryoEM image stacks.

    Generative interpolation and restoration of images using deep learning for improved 3D tissue mapping
    Joshi et al., preprint at biorxiv 2024
    biorxiv.org/content/10.1101/20

    #genai #imaging

  40. Interesting preprint on using a #machinelearning frame interpolation technique originally developed for videos on biomedical image stacks (for spatial interpolation): They claim broad applicability for #MRI, #lightsheet microscopy, #histology and #cryoEM image stacks.

    Generative interpolation and restoration of images using deep learning for improved 3D tissue mapping
    Joshi et al., preprint at biorxiv 2024
    biorxiv.org/content/10.1101/20

    #genai #imaging