Beiträge mit #SpatialTranscriptomics

#SpatialTranscriptomics

Öffentliche Beiträge auf X, die #SpatialTranscriptomics verwenden.

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  1. Hao Yin✓@HaoYin20
    DeepSpaceDB >2k #SpatialTranscriptomics Visium samples 👉Interactive, downloadable data analysis QC➡️ manual/LLM image annotation➡️ in-sample or cross-sample spot clustering BASS BayesSpace➡️ Spatially variable genes singleCellHaystack SPARK-X binSpect➡️ Cell type deconvolution RCTD SPOTlight 👉Cross-sample/Cross-study comparison 👉Analyze your own data 👉Database-wide gene/pathway inquiry @alexisvdb #NucAcidRes 2026
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  2. Hao Yin✓@HaoYin20
    Systematic comparisons among 4 subcellular-resolution #SpatialTranscriptomics methods Stereo-seq v1.3 Visium HD FFPE CosMx 6k Xenium 5k Human Tumors Ground truth CODEX, +scRNAseq Gene detection sensitivity (CosMx performance...🙁) (Spatial) false positives Transcript-protein correlation Cell segmentation Cell type annotation & spatial alignment to CODEX Spatial clustering Spatial pathway enrichment @NatureComms 2025
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    23314413.7K
  3. Jennifer Young@nano_jenn
    Excited to share our lab's new preprint led by Ting @huanting_ong introducing paired-surface spatial mechanomics! We link nanoindentation stiffness maps with #SpatialTranscriptomics to connect local tissue mechanics with molecular state. 🔗 🧵1/7
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    6241036.6K
  4. Hao Yin✓@HaoYin20
    #SpatialTranscriptomics #ThoracicAorticDisease Human aorta is a mm-thick layered organ (50~60 circumferential Elastic-contractile units in adult) Its lumen & adventitia sides receive different chemical/mechanical inputs Any phenotypic/signaling gradients of #SmoothMuscleCells across the aortic medial depth?😆👇 Here is a very cool & informative study from one of my most favorite scientists, Dr. Hiromi Yanagisawa @HYanagisawaLab 👏 Micro-biopsies RNAseq from 4 distinct layers in human aortic media 5 #BicuspidAorticValue + 4 Sporadic Extracellular Matrix signaling (FN1/VCAN/MGP/POSTN) enriched in innermost layer (Beautiful POSTN IHC😍) TGFβ BAV > Sporadic Inflamm Sporadic > BAV Mechanosensing in innermost layer Sporadic > BAV🥸 #AortaEd #JVSVS 2026 @JVascSurg
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    011331.8K
  5. Hao Yin✓@HaoYin20
    Want to visualize & create a website for your omics data (+CITEseq scATACseq #SpatialTranscriptomics)? Try ShinyCell2!😆 Compatible with data formats Seurat Signac ArchR Scanpy (other formats converted by sceasy) (also imaging-based ST data?😁) vs cellxgene WebAtlas Vitessce @OwenRackham @imouyang bioRxiv 2024
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    211683.8K
  6. Hao Yin✓@HaoYin20
    #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
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    1321297.6K
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