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Luigi Scietti

@luigiscietti.bsky.social
62 followers 93 following 11 posts

Scientist interested in #proteinexpression, #biochemistry, #biophysics and #structuralbiology (X-ray crystallography and #cryoEM) coordinator of the biochemistry and structural biology unit at the European Institute of Oncology (IEO)

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Reposted by Luigi Scietti
Structura Biotechnology @structurabio.bsky.social · 17/08/2026
🚀 Preprint alert: cFAR and Relative Signal: Diagnosing Preferred Orientation in Single-Particle #CryoEM Explore how cFAR, tFAR, and Relative Signal provide complementary diagnostics for preferred orientation, tested across 14 #EMPIAR datasets and compared with established metrics 👉 bit.ly/4wBY1Ev
cFAR and Relative Signal: Diagnosing Preferred Orientation in Single-Particle CryoEM
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Reposted by Luigi Scietti
Plaschka lab @plaschkalab.bsky.social · 18/06/2026
Now published! We investigated how polyadenylated RNAs are targeted for decay in the human nucleus. www.nature.com/articles/s41... (1/5)
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Dan Bose @danbose.bsky.social · 18/06/2026
Fun to see star grad student Owen Godwin present at today's single molecule SM@SH meeting!! Take homes: if you want to get nice streptavidin grids for enriching RNA on your grids, get your talc from Waitrose! @sheffielduni.bsky.social #cryoEM #eRNA
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Reposted by Luigi Scietti
cryoEM papers @cryoempapers.bsky.social · 17/06/2026
DMcloud: Macromolecular Structure Modeling Using Local Structure Fitting for Medium to Low Resolution cryo-EM maps www.biorxiv.org/content/10.64898/2026.06.12.731990v1 #cryoEM
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Reposted by Luigi Scietti
SBGrid Consortium @sbgrid.bsky.social · 17/04/2026
New Title Alert: MiCSPARC- is a CryoSPARC-based cryo-EM pipeline for microtubule image processing that combines automated filament tracing, particle picking, fast 3D refinement, protofilament-number assignment, alignment, register correction, & seam search. Learn more here: buff.ly/f1Jmkqe #SBGrid
buff.ly
GitHub - wieczoreklab/MiCSPARC: Microtubule Image Processing in CryoSPARC Pipeline
Microtubule Image Processing in CryoSPARC Pipeline - wieczoreklab/MiCSPARC
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Reposted by Luigi Scietti
Xiaojing Gao @synbiogaolab.bsky.social · 15/04/2026
We just updated our Germinal preprint for de novo antibody-like binder design! Featuring additional scFv designs, extensive experimental validation of epitope specificity and polyreactivity, and CryoEM structure courtesy of Jim Zhang and Bing Rao from Feng Liang's lab.
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Reposted by Luigi Scietti
Alisia Fadini @alisiafadini.bsky.social · 01/04/2026
ROCKET 🚀 inference-time optimization of AlphaFold to fit structural data is published! rdcu.be/fa9YH Since our preprint, we’ve pushed it to regimes where other methods break: low resolution, weak signal, real experimental edge cases. Here’s what we learned: 1/15
rdcu.be
AlphaFold as a prior: experimental structure determination conditioned on a pretrained neural network
Nature Methods - ROCKET improves experimental structure elucidation by integrating implicit structural knowledge from OpenFold, a trainable reimplementation of AlphaFold2, with X-ray...
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cryoEM papers @cryoempapers.bsky.social · 28/02/2026
Accurate Macromolecular Complex Modeling for Cryo-EM with CryoZeta pubmed.ncbi.nlm.nih.gov/41756897/ #cryoEM
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Reposted by Luigi Scietti
bioRxivpreprint @biorxivpreprint.bsky.social · 25/02/2026
A cryo-EM processing pipeline for microtubules using CryoSPARC www.biorxiv.org/content/10.64898/20…
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Reposted by Luigi Scietti
Julia Maristany @juliamaristany.bsky.social · 05/12/2025
Our latest work is out in @science.org !!!!!!! We look into #chromatin condensates at near atomistic resolution to decipher its phase behaviour and material properties 👩‍🔬🥼🧬
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Josh Hardy @joshuamhardy.bsky.social · 25/11/2025
I am pleased to announce the release of ProteinDJ v2! This is a major update that integrates BindCraft into the pipeline as an alternative to RFdiffusion for binder generation. You can try it out here: github.com/PapenfussLab/proteindj #ProteinDJ #BindCraft #ProteinDesign @wehi-research.bsky.social
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Communications Chemistry @commschem.nature.com · 31/10/2025
Just out: Multimodal deep learning integration of cryo-EM and AlphaFold3 for high-accuracy protein structure determination
bit.ly
Multimodal deep learning integration of cryo-EM and AlphaFold3 for high-accuracy protein structure determination
Communications Chemistry, Published online: 31 October 2025; doi:10.1038/s42004-025-01718-5Cryo-electron microscopy (cryo-EM) is a key technology for elucidating protein structures, yet automating high-accuracy structure building from cryo-EM maps remains challenging. Here, the authors present MICA, a deep learning approach integrating cryo-EM data with AlphaFold3 predictions, achieving superior accuracy and robustness, thus advancing automated protein structure determination.
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Reposted by Luigi Scietti
Structura Biotechnology @structurabio.bsky.social · 20/10/2025
🚀 Introducing fully automated data processing for repeat-target #cryoEM. Using new tools in #CryoSPARC, it is now possible to obtain resolutions & map quality equal to or better than manual processing, with zero user intervention. Preprint: www.biorxiv.org/content/10.1...
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Reposted by Luigi Scietti
paulschanda.bsky.social @paulschanda.bsky.social · 18/10/2025
📢 New preprint: Experiment-guided AlphaFold3 resolves accurate protein ensembles. doi.org/10.1101/2025... AlphaFold3 is incredible, but has crucial limitations: it typically collapses to a single conformation, ignoring the inherent dynamics of proteins. And it can be wrong. Here's a solution. 🧵👇
Structures from AlphaFold3 - while often impressively good - tend to fail representing the dynamic ensembles accurately. And often parts of the structure are not correct.
Adding experimental data, directly in AlphaFold's diffusion step, provides physically realistic protein ensembles. This image shows two cases where AlphaFold3-only structures were largely improved by guiding with experimental data.
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Reposted by Luigi Scietti
The Rosalind Franklin Institute @rosfrankinst.bsky.social · 18/08/2025
Exciting work from the Franklin, @ox.ac.uk, and @diamondlightsource.bsky.social has led to a new method for imaging small proteins (<50 kDa) using cryoEM. By using bifunctional, bispecific nanobody scaffolds, the team have successfully solved the smallest protein structure to date (14 kDa).
Quote from Dr. Mingda Ye, University of Oxford, highlighting the collaborative breakthrough in cryo-EM imaging of small proteins: “This idea was initiated when solving sub-50kDa protein structures by cryo-EM was almost impossible. To break this barrier, many world-class scientists in different fields have combined forces and it is a great honour to work with them to bring this game-changing tool into reality!” The background diagram outlines the scientific workflow used in the study.
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Reposted by Luigi Scietti
Manchester Cell Matrix Centre @mcrcellmatrix.bsky.social · 15/08/2025
Amazing new paper from Clair Baldock's lab resolves the collagen VI microfibril structure by cryo-EM to reveal a cysteine-rich coiled-coil crucial for heterotrimerization & microfibril assembly. The structure also reveals a hotspot of collagen VI muscular dystrophy mutations that disrupt assembly.
rdcu.be
Collagen VI microfibril structure reveals mechanism for molecular assembly and clustering of inherited pathogenic mutations
Nature Communications - Collagen VI microfibril cryo-EM structure resolves a cysteine-rich coiled-coil important for heterotrimerization and microfibril assembly, reveals a hotspot of collagen VI...
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Martin Pacesa @martinpacesa.bsky.social · 30/06/2025
We have written up a tutorial on how to run BindCraft, how to prepare your input PDB, how to select hotspots, and various other tips and tricks to get the most out of binder design! github.com/martinpacesa...
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Yehlin Cho @yehlincho.bsky.social · 03/06/2025
🚀 Excited to release BoltzDesign1! ✨ Now with LogMD-based trajectory visualization. 🔗 Demo: rcsb.ai/ff9c2b1ee8 Feedback & collabs welcome! 🙌 🔗: GitHub: github.com/yehlincho/Bo... 🔗: Colab: colab.research.google.com/github/yehli... @sokrypton.org @martinpacesa.bsky.social
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Jean-Paul Armache @valendraica.bsky.social · 30/05/2025
New collaborative paper between JPArmache and Bowman (@bowmanlab-jhu.bsky.social) labs show how the yeast CHD1 chromatin remodeler depends on activator elements to distort nucleosomal DNA. This explains how the NegC inhibitor blocks activity. www.nature.com/articles/s41...
nature.com
A competitive regulatory mechanism of the Chd1 remodeler is integral to distorting nucleosomal DNA - Nature Structural & Molecular Biology
Nodelman, Folkwein et al. define a regulatory region in Chd1 containing adjacent inhibitor and activator elements that compete for binding to the remodeler ATPase. The competition between these elemen...
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Kevin Drew @ksdrew.bsky.social · 30/05/2025
Very excited that our work describing hu.MAP3.0 is published in @molsystbiol.org. Here we use machine learning to integrate >25k mass spectrometry experiments to place ~70% of human proteins into 15k protein complexes. www.embopress.org/doi/full/10....
embopress.org
hu.MAP3.0: atlas of human protein complexes by integration of >25,000 proteomic experiments | Molecular Systems Biology
imageimagehu.MAP3.0 integrates mass spectrometry experiments to identify human protein complexes. Using this resource, this study characterizes covariation of complexes, identifies mutually exclusive ...
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Luigi Scietti @luigiscietti.bsky.social · 28/05/2025
Amazing #cryoEM structures and incredible community here at @cniostopcancer.bsky.social for the “machines acting on DNA and RNA” congress!
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Luigi Scietti @luigiscietti.bsky.social · 22/04/2025
Super happy to share the final shape of our work describing the molecular #structure and #enzymatic mechanism of human #collagen #galactosyltransferase #GLT25D1 published in @natcomms.nature.com. Want to know how collagen become sweet? read the 🧵 below!
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Kat Toropova @kattoropova.bsky.social · 18/03/2025
We are thrilled to announce the 2025 EMBO practical course in cryo-em image processing, Birkbeck College, London, 9-16 Sept 2025. More info & apply: meetings.embo.org/event/25-cry... Organisers Giulia Zanetti & Helen Saibil. Beautiful image from co-organizer @carolynmoores1.bsky.social lab.
meetings.embo.org
Image processing for cryo-electron microscopy
Cryo electron microscopy (cryo EM) is a major structural biology method for studying macromolecular complexes and cellular structures in their native states. Stable high resolution cryo microscopes, …
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Reposted by Luigi Scietti
Alexis Verger 🧬🧫🧪 @alexis-verger.cpesr.fr · 04/03/2025
This is a masterpiece ! #cryoEM Structures of H2A.Z-associated human chromatin remodelers SRCAP and TIP60 reveal divergent mechanisms of chromatin engagement www.biorxiv.org/content/10.1...
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NanoImaging Services @nanoimaging.bsky.social · 04/03/2025
Did you make our cryo-EM webinar last week? Dive into pre-processing, how to interpret 2D classes, 3D reconstructions from the initial map to final structure with CSO Giovanna Scapin. Catch it here: youtu.be/2dBnPVkaoFs Sign up for Overcoming Limitations, on 3/25: nimgs.zoom.us/webinar/regi...
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Lorna Malone @drlornamalone.bsky.social · 18/02/2025
📢 Registration is now open for 'Wellcome-MRC Cryo-EM in Structural Biology 2025'! 📅 Join us online March 3-7 at @diamondlightsource.bsky.social @universityofleeds.bsky.social for lectures & demos in #CryoEM & #CryoET: sample prep, SPA, model building & more!🧬 🔗 www.diamond.ac.uk/Instruments/...
diamond.ac.uk
Wellcome-MRC Cryogenic Electron Microscopy in Structural Biology 2025 - - Diamond Light Source
eBIC (Diamond light source) has partnered with the Astbury Biostructure Lab (University of Leeds), the Scottish Centre for Macromolecular Imaging (University of Glasgow), Midlands Regional Cryo-EM Fac...
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Reposted by Luigi Scietti
Bird account @dialecticbio.bsky.social · 03/03/2024
Been thinking about creating a collection of good protein structure figures, as inspiration for my own work. #1 www.nature.com/articles/s41...
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Reposted by Luigi Scietti
Greg Chojnowski @gchojnowski.bsky.social · 06/02/2025
I’m happy to share gapTrick, an AlphaFold2-based tool for characterising protein-protein complexes www.biorxiv.org/content/10.1...
biorxiv.org
gapTrick - Structural characterisation of protein-protein interactions using AlphaFold with multimeric templates
The structural characterisation of protein-protein interactions is a key step in understanding the functions of living cells. Models of protein complexes provide important insights into interaction me...
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Reposted by Luigi Scietti
Carlos Moreno-Yruela @carlosmyruela.bsky.social · 04/02/2025
#SIRT7 is a histone deacetylase with highly specific activity on #chromatin substrates. We just published mechanism-based #cryoEM structures of #SIRT7 on nucleosomes to understand its activity 👇 www.nature.com/articles/s41... (1/8) #ChemBio #ChemSky
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Luigi Scietti @luigiscietti.bsky.social · 29/01/2025
Cool event, great people! Thanks for putting us together @fornerislab.bsky.social and @thermofishersci.bsky.social!
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Jan Huertas @janhuemar.bsky.social · 22/01/2025
Exciting new preprint alert! 🚨 The Collepardo lab, teaming up with Huabin Zhou and the Rosen lab we took a deep, high-resolution look into chromatin condensates! [1/6] #Chromatin #MD @rcollepardo.bsky.social @juliamaristany.bsky.social www.biorxiv.org/content/10.1...
biorxiv.org
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Luigi Scietti @luigiscietti.bsky.social · 14/01/2025
Truly honoured to be the first user of such an amazing platform! For sure a reference point for all the Italian community. Exciting time ahead! ❄️🚀
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Reposted by Luigi Scietti
Nogales Lab @nogaleslab.bsky.social · 08/01/2025
Work led by graduate student @trinitycookis.bsky.social and coauthors Alexandria Lydecker, @paulsauer.bsky.social, and @kasinath-lab.bsky.social is out today where we looked at the inhibition of PRC2 by histone PTMs associated with regions of active transcription. www.nature.com/articles/s41...
nature.com
Structural basis for the inhibition of PRC2 by active transcription histone posttranslational modifications - Nature Structural & Molecular Biology
Structures reveal that histone H3K36me3 and H3K4me3 modifications reduce Polycomb repressive complex 2 (PRC2) function through the inhibition of histone tail engagement and antagonistic binding to the...
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Ben Engel @cellarchlab.com · 06/01/2025
Towards community-driven visual proteomics! Excited to finally share this large-scale curated & annotated dataset of 1829 high-quality #cryoET tomograms of the little green alga that just keeps giving— Chlamydomonas! 🧪🧶🧬🌾🌊🌍 Preprint📜: www.biorxiv.org/content/10.1... A short thread🧵👇
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Philippe Van der Stappen @phaips.vd.st · 29/12/2024
More than 1'800 tomograms available for the community. Towards visual proteomics using our favorite organism Chlamy! Check out the preprint: www.biorxiv.org/content/10.1... Find it on EMPIAR (11830) and fully annotated on the CZI data portal: cryoetdataportal.czscience.com #TeamTomo
biorxiv.org
Towards community-driven visual proteomics with large-scale cryo-electron tomography of Chlamydomonas reinhardtii
In situ cryo-electron tomography (cryo-ET) has emerged as the method of choice to investigate structures of biomolecules in their native context. However, challenges remain in the efficient production...
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Structural Biology Communications @actacrystf.iucr.org · 17/12/2024
Safer, nonradioactive staining alternatives for electron microscopy are introduced, simplifying sample preparation, reducing costs and making structural biology more accessible to researchers globally #NegativeStaining #ElectronMicroscopy doi.org/10.1107/S205...
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Structura Biotechnology @structurabio.bsky.social · 13/12/2024
1/ A new series of #CryoSPARC tutorial videos from this year’s S2C2 #cryoEM image processing workshop are now online! These videos will be interesting to all users and especially those newer to #cryoEM. www.youtube.com/playlist?lis...
youtube.com
2024 S2C2 Single-Particle Cryo-EM Image Processing Workshop - YouTube
This playlist contains six recordings covering single particle cryo-EM data processing in CryoSPARC from the 2024 Single-Particle Cryo-EM Image Processing Wo...
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Lucas Farnung @lucas.farnunglab.com · 12/12/2024
Ever wondered how transcription choreographs histone modifications? Our work reveals the basis of co-transcriptional H3K36me3 by SETD2. We visualize how a histone writer coordinates with the transcription machinery! This is the magnus opus of @jonmarkert.bsky.social! tinyurl.com/setd2
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