Posty z #spatialTranscriptomics

#spatialTranscriptomics

Publiczne posty w X, które używają #spatialTranscriptomics.

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  1. Hao Yin✓@HaoYin20
    Comparative analysis of commercial Imaging-based #SpatialTranscriptomics methods Xenium CosMx 1k MERSCOPE Tissue Microarray 17 tumors + 16 normal tissues Transcript count Corr. with reference bulk TCGA GTEx RNAseq or scRNAseq Segmentation (Precision Recall F1 score) Accuracy: Elongated < Sparse < Dense cells Cell type annotation 2024 CosMx @brukerspatial protocol (vs 2023)▶️ 10-fold ⬆️sensitivity!😮 MERSOPE sensitive to RNA quality @GoodsBrittany @NatureComms 2025
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  2. Hao Yin✓@HaoYin20
    Systematic comparison of 11 sequencing-based #SpatialTranscriptomics methods A must-read for spatial omics researchers🤠 Visium DynaSpatial HDST BMKMANU S1000 Slide-seq V2 Curio Seeker Slide-tag Stereo-seq PIXEL-seq Salus DBiT-seq Guess which behaves best for🧠microvasculature?😁 A standard benchmarking pipeline ▶️Molecule-capture efficiency (per unit area) ▶️Molecule lateral diffusion ▶️Clustering/Cell annotation (Seurat still outperforms or PRECAST😯) ▶️Marker gene detection ▶️Cell-to-cell communication (no consistent results found) 💰Fig 4f Affordability Xiaodong Liu & Luyi Tian labs @naturemethods 2024 @ethanxdliu @Luyi_T + cadasSTre, a website for raw/processed data #OpenScience
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  3. Hao Yin✓@HaoYin20
    #CellCharter A powerful single-cell #SpatialTranscriptomics analysis framework Graph-based #DeepLearning Spatial cluster: Cell type Different expression Neighborhood enrichment AND Shape!!!👹 - curl/elongation/linearity/purity #VariationalAutoEncoder for dimension reduction, batch correction & multi-technical platform (CosMx/MERFISH/#ImagingMassSpectrometry)/Multiomic integration Spatially-resolved #LungCancer Hypoxia & Tumore-associated neutrophil signatures->Prognostic values for NSCLC Computationally efficiency->Scalability @MarcoVarrone @loganawalsh @CirielloLab @NatureGenet 2024
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  4. Hao Yin✓@HaoYin20
    De-spot Projecting sc-/sn-RNAseq (paired/unpaired) to #SpatialTranscriptomics Visium ST Stereo-seq MERFISH-> Spatial Multi-modality Data Sharpen the spatial cell-type boundaries Improve detection of low-proportion cell-type spatial domains Jian Liu lab @CellRepMethods 2024
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  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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  6. Hao Yin✓@HaoYin20
    C-SIDE Cell type-specific inference of differential expression in #SpatialTranscriptomics 👉Work for both Sequencing- & Imaging-based ST 👉Need single-cell reference for cell typing 👉Histological features as covariates 👉Pixel-based, Segmentation-free differentially expression analysis "12.6% double cell type pixels out of 3,790 total pixels" in a MERFISH brain🤓 @rafalab @insitubiology @naturemethods 2022
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  7. Dr. Jean Fan@JEFworks
    I am updating my lecture slides on #spatialtranscriptomics to use author names + remove journal names to de-emphasize brands and re-emphasize people per #HHMI recs. In the process, I realized ALL the seminal techdev work has been led by co-first authors contributing equally 🧵1/3
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  8. 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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