Single-cell and #SpatialTranscriptomics of primary testicular #DLBCL reveal an exhausted CD8⁺ T cell–dominated microenvironment & spatial immune architecture, with E2F & CREB inhibition suppressing #lymphoma proliferation & #tumor growth. @ZJUISM_China Read: doi.org/10.1016/j.gend…

Preserve spatial context in your RNA-seq data. 🧬 CD Genomics' 10x Visium services map whole transcriptomes onto intact FFPE & fresh frozen tissues. Turnkey bioinformatics included. Explore the workflow: cd-genomics.com/10x-spatial-tr… #SpatialTranscriptomicsH

Prostate Cancer Cell Atlas Reveals Shortcomings of Current Diagnostics A cellular atlas of #prostatecancer has identified early molecular changes that are invisible to current pathology-based diagnostics @GarvanInstitute #pathology #spatialtranscriptomics hubs.li/Q048t8550

Spatial Atlas Reveals Multicellular Networks Underpinning Healthy Human Skin Comprehensive spatial atlas of human #skin identifies multicellular neighborhoods that coordinate immune & structural functions @MountSinaiNYC #multiomics #spatialtranscriptomics hubs.li/Q0487vsR0

#SingleCell #SpatialTranscriptomics #Alzheimers #AD

Prof. Mark Fiers (VIB / KU Leuven) will share insights on: “Spatial transcriptomics and the neuroinflammatory inflection point in Alzheimer’s disease” 📅 June 29–30, 2026 📍 Milan 🔗 stocgeneralmeeting.com #STOC #SpatialTranscriptomics #Neuroscience #AlzheimersResearch #Omics2zd

As #spatialtranscriptomics moves toward cell-level and multi-modal atlases, understanding algorithmic limits becomes increasingly important. Our evaluation framework supports transparent benchmarking and future method development. github.com/canzarlab/spat…

New preprint! We introduce an explanatory benchmark that asks when and why — not just which — spatial domain detection methods succeed or fail. #spatialtranscriptomics Preprint: biorxiv.org/content/10.648… Fantastic work by Alice Descoeudres, Tomislav Prusina, and all co-authors!

Envision the future of #SpatialTranscriptomics and #DigitalPathology tools in a new article spotlighting IICD Core Member @mssanjavickovic and her lab > bit.ly/40o5jOA #CancerResearch #BiomedicalEngineering #Multiomics #ColorectalCancer

SpatioTemporal Omics eneRgIES STORIES: learning Waddington differentiation potential (FGW loss) from #SpatialTranscriptomics (across time points) using Optimal Transport Tunable weights of spatial information Compute both pseudotime & velocity equivalents In Python Scverse vs PRESCIENT, based on Wasserstein distance Laura Cantini lab @naturemethods 2025 nature.com/articles/s4159…

#SpatialTranscriptomics Optimizing Xenium @10xGenomics In Situ data utility by quality assessment & best-practice analysis workflows If you are a Xenium user, this is a must-read🔥 👉Segmentation: Cellpose + Baysor (Segmentation-free alternative: SSAM, Points2Regions) 👉Preprocessing: Library size normalization, log-transformation, scaling, k-nearest neighbors graph (all PCs + 16 neighbors), Louvain clustering 👉Spatially variable feature selection: Squidpy Moran's I, Seurat Moran's I, Sinfonia, SomDE, Giotto, Hotspot 👉Imputation: SpaGE, Seurat, Tangram, SpaOTsc 👉Spatial domain identification: binning-based strategy, Bansky, SPACEL Performance vs CosMX, Molecular cartography, MERFISH, MERSCOPE, high-sensitivity ISS @naturemethods 2025 nature.com/articles/s4159…