OUTLOOK: Making order from disorder in the nucleolus
By Susan J. Baserga
➡️ https://genesdev.cshlp.org/content/40/5-6/285.full

Also read:
➡️ https://genesdev.cshlp.org/content/40/5-6/351.full

@susanbaserga.bsky.social
#ribonucleoproteins #biocondensates #Cajalbodies #proteininteractions

⏪ G&D RECAP ⏪

🗓️ October 2025
RESEARCH COMMUNICATION: Structural basis of nucleosome recognition by the conserved Dsup & HMGN nucleosome-binding motif
By Alegrio-Louro et al. and Andres Leschziner
➡️ https://genesdev.cshlp.org/content/39/19-20/1155.full

#proteininteractions #proteinstructure #cryoEM

High-Resolution Mapping of Dynamic Molecular Conversations: NMR Insights into Protein–Drug and Protein–Metabolite Interactions - Call For Papers | Health and Metabolism Dear Colleagues, The journal Health and Metabolism (HM) will soon launch a topic issue titled “ High-Resolution Mapping of Dynamic Molecular Conversations: NMR Insights into Protein–Drug and Protein–M...

📢 CFP | Health and Metabolism
High-Resolution Mapping of Dynamic Molecular Conversations: NMR insights into protein–drug & protein–metabolite interactions
🔗 www.sciltp.com/journals/hm/...

#NMR #ProteinInteractions #CFP

Predicting ncRNA-Protein Interactions with a Graph Attention Model Exploiting Personalized Subgraphs.
Khoushehgir, Fatemeh et al.
Paper
Details
#ncRNA #ProteinInteractions #GraphAttention

Protein-Protein Interactions in Papillary and Nonpapillary Urothelial Carcinoma Architectures: Comparative Study Background: Bladder cancer is a disease with complex perturbations in gene networks and heterogeneous in terms of histology, mutations, and prognosis. Advances in high-throughput sequencing technologies, genome-wide association studies, and bioinformatics methods have revealed greater insights into the pathogenesis of complex diseases. Network biology-based approaches have been used to demonstrate the complex physical or functional interactions between molecules which can lead to potential drug targets. Objective: There is a need to better understand gene networks and protein-protein interactions (PPI) specific to urothelial carcinoma. Methods: We performed a multi-sample PPI study comparing two urothelial carcinoma architectures: papillary and non-papillary. We used a novel PPI analysis tool, Proteinarium to identify clusters of patients with shared PPI networks in each architecture. The feature of this tool is to analyze the PPI networks of patients and visualize them in clusters based on their network similarities from any genomic data including Next Generation Sequencing (NGS). Results: We observed distinct networks for the papillary and non-papillary groups. Proteins unique to the papillary urothelial carcinoma detected in two separate datasets included UBA52, RPS27A, UBR4, CUL1, UBE2K, and CDC5L. Proteins found in the non-papillary urothelial carcinoma specific PPI network were GNB1, UBC, RHOA, FPR2, GNGT1, PIK3CA, PIK3CG, HSP90AA1, SLC11A1, CCT7, ARHGEF1, PAK1, PAK2, PSMA7, and TRIO. Conclusions: We identified distinct PPI networks specific to papillary and non-papillary urothelial carcinomas presenting unique molecular entities. Clinical Trial: N/A

Protein-Protein Interactions in Papillary and Nonpapillary Urothelial Carcinoma Architectures: Comparative Study #BladderCancer #UrothelialCarcinoma #ProteinInteractions #CancerResearch #Bioinformatics

Measuring Endogenous Protein Interactions in Live Cells PPIs offer a system-level understanding of cell behavior

New in Biocompare: Marie Schwinn, Ph.D. explores how live-cell assays reveal protein–protein interactions (PPIs) in their native environment — key to understanding disease biology & developing new therapies.

Read: https://tinyurl.com/BiocomparePPIarticle

#ProteinInteractions #LifeSciences

VelB IDD encourages specific pairing of velvet proteins, crucial for fungal growth. #FungiDevelopment #ProteinInteractions
www.life-science-alliance.org/content/9/2/...

Let’s make your science more FAIR - Findable, Accessible, Interoperable, and Reusable.
#Biocuration #FromBenchToDatabase #FAIRdata #ProteinInteractions #EMBL-EBI #IntAct-EBI #OpenScience #UniProt #DataMatters

Weak SLP-76-PLC-γ1 interaction in the LAT-nucleated multi-protein complex fine-tunes TCR signal strength to optimize T cell responsiveness
Awasthi, P., Balagopalan, L. et al.
Paper
Details
#TCellSignaling #ImmuneResponse #ProteinInteractions

Speciation and structural transformation of a VV–malate complex in the absence and in the presence of a protein
by Eugenio Garribba, Annette Rompel, Antonello Merlino et al.

🔗 doi.org/10.1039/D5QI...
#Vanadium #BioinorganicChemistry #ProteinInteractions #MetalloDrugs #StructuralChemistry

Alphafold 3 guided insights into the Importin b / Importin 7 heterodimer interaction and its binding to Histone H1
Dickmanns, A., Dybkov, O. et al.
Paper
Details
#Alphafold3 #ProteinInteractions #HistoneBiology

Gastroenterology and Hepatology from Bed to Bench (GHFBB) from a bibliometric perspective (2011-2021) - PubMed Gastroenterology and Hepatology from Bed to Bench (GHFBB) from a bibliometric perspective (2011-2021)

A decade of #GHFBB: 666 papers, h-index 30, 5,000+ #citations. Hot topics: #GICancer, #Celiac, #ProteinInteractions. #Iran leads, 41 countries contribute. #Gastroenterology #Hepatology #Scientometric #Bibliometric #ResearchImpact pubmed.ncbi.nlm.nih.gov/36311957/

GNNMutation: a heterogeneous graph-based framework for cancer detection - BMC Bioinformatics Background When genes are translated into proteins, mutations in the gene sequence can lead to changes in protein structure and function as well as in the interactions between proteins. These changes…

GNNMutation: a heterogeneous graph-based framework for cancer detection. #GraphNeuronalNetworks #GeneticMutations #ProteinInteractions #CancerPrediction #WES # Bioinformatics #BMCbioinformatics
bmcbioinformatics.biomedcentral.com/articles/10....

🧩New in Bioinformatics Advances, from Miotto et al.:  "Zepyros-ISC: a webserver to evaluate the shape complementarity of protein-protein interfaces"  Find it here: https://doi.org/10.1093/bioadv/vbaf051 #ProteinInteractions #StructuralBioinformatics

Our reseach combines #biochemistry, biophysics, and cell biology to unravel #ProteinInteractions and self-assembly and how #chaperones influence aggregation, #PhaseSeparation and #proteostasis. The image depicts S100B, a chaperone acting on #Tau and #AmyloidBeta, and one of our favorite models 🧪

Predictomes, a classifier-curated database of AlphaFold-modeled protein-protein interactions Schmid and Walter train a classifier that discerns functionally relevant structure predictions in proteome-wide protein-protein interaction (PPI) screens using AlphaFold-Multimer, and they use this co...

Nice resource! #AlphaFold #PPI #ProteinInteractions

Predictomes, a classifier-curated database of AlphaFold-modeled protein-protein interactions: Molecular Cell www.cell.com/molecular-ce...

#research #structuralproteomics #proteininteractions

DSSBU: A novel mass spectrometry-cleavable analogue of the BS3 cross-linker (Hubálek) - Journal of Proteomics: doi.org/10.1016/j.jp...

@iocbprague.bsky.social #UCTPrague #CzechAcademyofSciences

Fluorescence lifetime imaging microscopy - Nature Reviews Methods Primers Fluorescence lifetime imaging microscopy can offer insights into biological processes such as metabolic imaging, protein–protein interactions and live-cell intracellular dynamics. In this Primer, Torr...

📜 Fluorescence lifetime imaging microscopy

🧑‍🔬 Belen Torrado, Bruno Pannunzio, Leonel Malacrida, @digmanlab.bsky.social

📔 Nature Reviews Methods Primers

🔗 www.nature.com/articles/s43...

#️⃣ #Microscopy #FluorescenceMicroscopy #FLIM #LifetimeImaging #CellBiology #ProteinInteractions

Unlocking protein–protein interactions in plants: a comprehensive review of established and emerging techniques A review classifying the available methods to study protein–protein interactions based on the nature of the samples and the information-depth they deliver.

📜 Unlocking protein–protein interactions in plants: a comprehensive review of established and emerging techniques

🧑‍🔬 Alvaro Furones Cuadrado, Daniël Van Damme

📔 @jxbotany.bsky.social

🔗 academic.oup.com/jxb/advance-...

#️⃣ #PlantScience #ProteinInteractions #PlantProteins #PlantProteomics

Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution

📜 Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer

🧑‍🔬 Ah-Ram Kim, Norbert Perrimon, et al.

📔 @biorxivpreprint.bsky.social

🔗 www.biorxiv.org/content/10.1...

#️⃣ #AlphaFold #Proteomics #ProteinInteractions

Europe PMC Europe PMC is an archive of life sciences journal literature.

IntAct release 221 #FeaturedDataset: Woodsmith et al, Nature Methods, 2017 . Deep-mutagenesis + interaction profiling. Over 10,000 #mutations and their effects on #proteininteractions within the BBsome in @intact_project:

ebi.ac.uk/intact/search/… europepmc.org/abstract/MED/2…

Europe PMC Europe PMC is an archive of life sciences journal literature.

IntAct release 221 #FeaturedDataset: Woodsmith et al, Nature Methods, 2017 . Deep-mutagenesis + interaction profiling. Over 10,000 #mutations and their effects on #proteininteractions within the BBsome in @intact_project:

ebi.ac.uk/intact/search/… europepmc.org/abstract/MED/2…

If you are at #eccb18 and interested in effect of #mutations on #proteinInteractions and how we handle this data visit Anjali at poster #P_El022 tonight from 6.30 pm.

Not at ECCB but need more information? Contact us onand read:

biorxiv.org/content/early/… ebi.ac.uk/support/index.…

If you are at #eccb18 and interested in effect of #mutations on #proteinInteractions and how we handle this data visit Anjali at poster #P_El022 tonight from 6.30 pm.

Not at ECCB but need more information? Contact us onand read:

biorxiv.org/content/early/… ebi.ac.uk/support/index.…