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10x Visium HD Spatial Transcriptome

Product Overview

10x Visium HD Spatial Gene Expression Technology represents the cutting edge of high-resolution spatial transcriptomics. It delivers whole-transcriptome data at single-cell resolution, leveraging a novel slide design and a workflow supported by Visium CytAssist to generate high-quality data from human or mouse tissue samples. Since its launch, Visium HD has demonstrated powerful discovery capabilities. The platform is now compatible with both formalin-fixed paraffin-embedded (FFPE) and fresh frozen (FF) samples, enabling flexible sample selection tailored to research needs and empowering researchers to gain in-depth insights into the complexity and functionality of biological samples.

Advantages

yesMulti-platform Spatial Omics Solutions
yes70+ Tumor Tissue Dissociation Expertise
yesFaster, Cost-saving & Stringently Controlled Library Prep & Sequencing
yesMulti-omics Integrated Analysis Solutions

Product Parameters

Indicator Parameter
Sample Types Fresh frozen/FFPE
Sample Format FFPE blocks/slices
OCT blocks
Species Types Human/Mouse
Resolution 2 μm
Detection Area 6.5 mm × 6.5 mm
Sequencing Platform NovaSeq X Plus PE150
Sequencing Data Volume FFPE: 100 Gb
FF: 210 Gb
TAT (with/without BI) 55–65 WD/35–45 WD

Sample Requirements

Sample Type Sample Volume per Sample Storage Conditions Transport Conditions
FFPE Block 1 block Sealed, stored at 4°C Transport with ice pack
FFPE Section Quality control sample: Paraffin roll with total thickness ≥50 μm (100 μm for puncture samples)

Formal sample: 2–4 adjacent sections, section thickness 4–6 μm
Quality control sample: Sealed dry in 1.5 mL EP tube, stored at 4°C

Formal sample: Newly cut sections mounted on manufacturer-recommended adhesive slides (see sample requirements for specific model); sealed dry, stored at 4°C for ≤30 days (interval between sectioning and library construction)
OCT Embedded Block Sample thickness >1 mm, area <6.5 × 6.5 mm Stored in -80°C freezer; mark the cutting surface on the embedding box Transport with dry ice

Workflow

workflow

Analysis Contents

Analysis Type Analysis Content
Standard Analysis 1. Sequencing data statistics and quality control
2. Data quantification
3. Spot filtering
4. Spot subpopulation analysis
5. Cluster highly expressed gene analysis
6. Functional enrichment analysis of cluster highly expressed genes
Advanced Analysis 1. Copy number variation analysis
2. Proportion prediction and analysis of malignant vs. normal cells
3. Spatial cell-cell interaction analysis
4. Spatial cell type deconvolution analysis
5. Spatial cell optimized communication analysis
6. Spatial clonal evolution analysis
7. Spatial pseudotime trajectory analysis
8. Gene set scoring and comparison analysis
UMAP plot after clustering
UMAP Plot After Clustering
Expression heatmap of differential genes in spot subsets
Expression Heatmap of Differential Genes in Spot Subsets
Spatial distribution map of clusters
Spatial Distribution Map of Clusters
Valid spots identification plot
Valid Spots Identification Plot

Application Scenarios

yesOncology: Tumor microenvironment, heterogeneity, progression, morphology & tertiary lymphoid structures
yesImmunology: Immune cell infiltration, gene expression signatures & dissemination
yesDevelopmental Biology: Spatial gene expression in human development & morphology-related gene identification
yesNeuroscience: Brain cell layer mapping & expression profiling of normal/pathological regions
yesPathology: Gene-expression enhanced morphological conclusions & pathological accuracy verification

FAQ

Q: What are the advantages of spatial transcriptome applications?

A: Spatial transcriptome sequencing can simultaneously capture gene expression information and spatial distribution data in tissues. It enables the acquisition of transcriptome data from cells at different positions within a single intact tissue section. With broad application prospects in biomedical research, disease mechanism studies, and drug development, spatial transcriptomics helps to deeply understand cellular functions and interactions.

Q: What are the sample quality inspection requirements?

A: To ensure sample quality and reduce experimental risks, we will cut 10–20 tissue sections (10 μm thick) for total RNA extraction and quality testing. It is recommended to proceed with subsequent experiments only for embedded tissue samples with an RNA Integrity Number (RIN) greater than 7.

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