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slide seqv2  (Spatial Transcriptomics Inc)

 
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    Spatial Transcriptomics Inc slide seqv2
    Slide Seqv2, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/slide+seq+spatial+transcriptomics+experiment/seq+slide/pm33288904-34-8-18
    Average 86 stars, based on 1 article reviews
    slide seqv2 - by Bioz Stars, 2026-09
    86/100 stars

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    Related Articles

    Spatial Transcriptomics:

    Article Title: Mechanobiological Specialization of Choroid Plexus Macrophages Defined by Titin Expression
    Article Snippet: .. Spatial transcriptomics using slide-seq on ChP from 4 donors with AD, with integration of our snRNA-seq data via GIMVI , revealed extensive local vascular-immune and epithelial–immune interaction within the ChP folds and demonstrated that TTN + macrophages occupy distinct microenvironments enriched for endothelial and immune interfaces ( ). ..

    Article Title: SPOmiAlign: A modality-agnostic framework for robust and scalable spatial multimodal alignment via feature matching
    Article Snippet: .. The Slide-seq dataset, a high-throughput sequencing-based spatial transcriptomics technology with near-cellular resolution comprising 101 adult mouse brain coronal sections that span the entire anteroposterior axis, was obtained from an online resource at https://docs.braincelldata.org/downloads/index.html/Slide-seq_Data . .. The MERFISH dataset, a high-throughput imaging-based spatial transcriptomics technology with single-cell resolution consisting of 25 adult mouse brain sagittal sections, was obtained from the Allen Brain Cell Atlas at https://alleninstitute.github.io/abc_atlas_access/descriptions/Zhuang-ABCA-3.html .

    Article Title: Hidden network preserved in Slide-tags data allows reference-free spatial reconstruction.
    Article Snippet: .. Hidden network preserved in Slide-tags data allows reference-free spatial reconstruction Simon K. Dahlberg , David Fernández Bonet , Lovisa Franzén , Patrik L. Ståhl & Ian T. Hoffecker Spatial transcriptomics technologies aim to spatially map gene expression in tissues and typically use oligonucleotide array surfaces that have undergone spatial indexing. ..

    Article Title: Gut microbiota-derived metabolites in keloid and hypertrophic scarring
    Article Snippet: .. Spatial transcriptomics platforms, such as Slide-seq2 and spatial host–microbe sequencing (SHM-seq), enable in situ mapping of gene expression, microbial localization, and immune interactions at near-cellular resolution. ..

    other:

    Article Title: Metabolic zonation and characterization of tissue slices with spatial transcriptomics
    Article Snippet: To run Harreman effectively and scale it to data sizes characteristic of state-of-the-art spatial transcriptomics technologies such as Slide-seq [ ], we made it PyTorch-friendly, which led us to the subsequent optimization of the Hotspot algorithm using the same infrastructure.

    Article Title: A temporal and spatial atlas of adaptive immune responses in the lymph node following viral infection.
    Article Snippet: Slide-Seq Spatial Transcriptomics Library Preparation and Sequencing.

    Sequencing:

    Article Title: SPOmiAlign: A modality-agnostic framework for robust and scalable spatial multimodal alignment via feature matching
    Article Snippet: .. The Slide-seq dataset, a high-throughput sequencing-based spatial transcriptomics technology with near-cellular resolution comprising 101 adult mouse brain coronal sections that span the entire anteroposterior axis, was obtained from an online resource at https://docs.braincelldata.org/downloads/index.html/Slide-seq_Data . .. The MERFISH dataset, a high-throughput imaging-based spatial transcriptomics technology with single-cell resolution consisting of 25 adult mouse brain sagittal sections, was obtained from the Allen Brain Cell Atlas at https://alleninstitute.github.io/abc_atlas_access/descriptions/Zhuang-ABCA-3.html .

    Article Title: Gut microbiota-derived metabolites in keloid and hypertrophic scarring
    Article Snippet: .. Spatial transcriptomics platforms, such as Slide-seq2 and spatial host–microbe sequencing (SHM-seq), enable in situ mapping of gene expression, microbial localization, and immune interactions at near-cellular resolution. ..

    Gene Expression:

    Article Title: Hidden network preserved in Slide-tags data allows reference-free spatial reconstruction.
    Article Snippet: .. Hidden network preserved in Slide-tags data allows reference-free spatial reconstruction Simon K. Dahlberg , David Fernández Bonet , Lovisa Franzén , Patrik L. Ståhl & Ian T. Hoffecker Spatial transcriptomics technologies aim to spatially map gene expression in tissues and typically use oligonucleotide array surfaces that have undergone spatial indexing. ..

    Article Title: Gut microbiota-derived metabolites in keloid and hypertrophic scarring
    Article Snippet: .. Spatial transcriptomics platforms, such as Slide-seq2 and spatial host–microbe sequencing (SHM-seq), enable in situ mapping of gene expression, microbial localization, and immune interactions at near-cellular resolution. ..

    Article Title: Understanding and Advancing Wound Healing in the Era of Multi-Omic Technology.
    Article Snippet: .. Spatial transcriptomics platforms such as 10× Visium, Slide-seq, and Multiplexed error-robust fluorescence in situ hybridization (MERFISH) preserve tissue architecture while capturing spatially resolved gene expression profiles, enabling the identification of spatial gradients in inflammatory signaling, revascularization, and epidermal regeneration [66,67]. ..

    In Situ:

    Article Title: Gut microbiota-derived metabolites in keloid and hypertrophic scarring
    Article Snippet: .. Spatial transcriptomics platforms, such as Slide-seq2 and spatial host–microbe sequencing (SHM-seq), enable in situ mapping of gene expression, microbial localization, and immune interactions at near-cellular resolution. ..

    Fluorescence:

    Article Title: Understanding and Advancing Wound Healing in the Era of Multi-Omic Technology.
    Article Snippet: .. Spatial transcriptomics platforms such as 10× Visium, Slide-seq, and Multiplexed error-robust fluorescence in situ hybridization (MERFISH) preserve tissue architecture while capturing spatially resolved gene expression profiles, enabling the identification of spatial gradients in inflammatory signaling, revascularization, and epidermal regeneration [66,67]. ..

    In Situ Hybridization:

    Article Title: Understanding and Advancing Wound Healing in the Era of Multi-Omic Technology.
    Article Snippet: .. Spatial transcriptomics platforms such as 10× Visium, Slide-seq, and Multiplexed error-robust fluorescence in situ hybridization (MERFISH) preserve tissue architecture while capturing spatially resolved gene expression profiles, enabling the identification of spatial gradients in inflammatory signaling, revascularization, and epidermal regeneration [66,67]. ..



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    TaKaRa slide seq spatial transcriptomics experiment
    AIR-SPACE enables the mapping of adaptive immune receptor (AIR) clonotypes and <t>transcriptomics</t> in situ. ( A ) Schematic of the experimental design and methodology, including the generation of long-read (LR) and short-read (SR). ( B ) Spatial mapping of cell types across the LN sections at different time points postinfection. (Scale bar, 500 μm.) ( C ) Spatial mapping of AIR clonotypes across the LN sections, with immunoglobulin (IG) clones shown in blue and T cell receptor (TCR) clones shown in red; outlined with germinal center (GC) regions in LNs from D10PI to D21PI. ( D ) Multiplexed RNA FISH staining for T cell marker Trbc2 (green), B cell marker Ms4a1 (red), and DAPI (blue) across all samples on sister sections. (Scale bar 500 μm.)
    Slide Seq Spatial Transcriptomics Experiment, supplied by TaKaRa, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    slide seq spatial transcriptomics experiment - by Bioz Stars, 2026-09
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    seeker spatial transcriptomics kit  (TaKaRa)
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    AIR-SPACE enables the mapping of adaptive immune receptor (AIR) clonotypes and <t>transcriptomics</t> in situ. ( A ) Schematic of the experimental design and methodology, including the generation of long-read (LR) and short-read (SR). ( B ) Spatial mapping of cell types across the LN sections at different time points postinfection. (Scale bar, 500 μm.) ( C ) Spatial mapping of AIR clonotypes across the LN sections, with immunoglobulin (IG) clones shown in blue and T cell receptor (TCR) clones shown in red; outlined with germinal center (GC) regions in LNs from D10PI to D21PI. ( D ) Multiplexed RNA FISH staining for T cell marker Trbc2 (green), B cell marker Ms4a1 (red), and DAPI (blue) across all samples on sister sections. (Scale bar 500 μm.)
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    Image Search Results


    AIR-SPACE enables the mapping of adaptive immune receptor (AIR) clonotypes and transcriptomics in situ. ( A ) Schematic of the experimental design and methodology, including the generation of long-read (LR) and short-read (SR). ( B ) Spatial mapping of cell types across the LN sections at different time points postinfection. (Scale bar, 500 μm.) ( C ) Spatial mapping of AIR clonotypes across the LN sections, with immunoglobulin (IG) clones shown in blue and T cell receptor (TCR) clones shown in red; outlined with germinal center (GC) regions in LNs from D10PI to D21PI. ( D ) Multiplexed RNA FISH staining for T cell marker Trbc2 (green), B cell marker Ms4a1 (red), and DAPI (blue) across all samples on sister sections. (Scale bar 500 μm.)

    Journal: Proceedings of the National Academy of Sciences of the United States of America

    Article Title: A temporal and spatial atlas of adaptive immune responses in the lymph node following viral infection

    doi: 10.1073/pnas.2504742123

    Figure Lengend Snippet: AIR-SPACE enables the mapping of adaptive immune receptor (AIR) clonotypes and transcriptomics in situ. ( A ) Schematic of the experimental design and methodology, including the generation of long-read (LR) and short-read (SR). ( B ) Spatial mapping of cell types across the LN sections at different time points postinfection. (Scale bar, 500 μm.) ( C ) Spatial mapping of AIR clonotypes across the LN sections, with immunoglobulin (IG) clones shown in blue and T cell receptor (TCR) clones shown in red; outlined with germinal center (GC) regions in LNs from D10PI to D21PI. ( D ) Multiplexed RNA FISH staining for T cell marker Trbc2 (green), B cell marker Ms4a1 (red), and DAPI (blue) across all samples on sister sections. (Scale bar 500 μm.)

    Article Snippet: Slide-seq spatial transcriptomics experiment was performed using the Curio Seeker Kit (Curio Bioscience) according to manufacturer instructions.

    Techniques: In Situ, Clone Assay, Staining, Marker