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Novogene
  • Novogene
  • Genomics
    • Human Whole Genome Sequencing
    • Whole Exome Sequencing
    • Plant and Animal Whole Genome Sequencing
    • Plant and Animal De Novo Sequencing
    • Microbial Whole Genome Sequencing
    • Microbial De Novo Sequencing

    Metagenomics

    • Shotgun Metagenomics Sequencing
    • Amplicon Sequencing

    Transcriptomics

    • mRNA Sequencing
    • Swift & Express mRNA Sequencing New!
    • Full-Length Transcriptome Sequencing
    • Prokaryotic RNA Sequencing
    • Metatranscriptome Sequencing
    • Total RNA Sequencing
    • Small RNA Sequencing (sRNA‑seq)
    • Whole Transcriptome Sequencing

    Single Cell & Spatial Omics

    • 10x Single Cell Gene Expression
    • Illumina PIP-seq Single Cell 3’ RNA Sequencing New!
    • Spatial Transcriptomics Sequencing New!

    Epigenomics

    • Whole Genome Bisulfite Sequencing (WGBS)
    • Enzymatic Methylation Sequencing
    • Directed Methylation Sequencing (DM-Seq) New!
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • Cleavage Under Targets & Tagmentation (CUT&Tag) New!
    • Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)
    • Reduced Representation Bisulfite Sequencing (RRBS)

    Proteomics

    • Quantitative Proteomics New!
    • PTM Proteomics New!
    • Olink Proteomics New!

    Metabolomics

    • Untargeted Metabolomics

    Premade Library

    • Sequencing Only on Illumina Sequencer
    • Sequencing Only on Ultima Sequencer
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    • mRNA Sequencing
    • Illumina Lane Sequencing

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mRNA SequencingSwift & Express mRNA SequencingTotal RNA SequencingHuman Whole Genome SequencingWhole Exome Sequencing10x Single Cell Gene ExpressionIllumina PIP-seq Single Cell 3’ RNA SequencingSpatial Transcriptomics SequencingWhole Genome Bisulfite Sequencing (WGBS)Quantitative ProteomicsUntargeted MetabolomicsShotgun Metagenomics SequencingMetatranscriptome SequencingSequencing Only on Illumina SequencerSequencing Only on Ultima SequencerFull-Length Transcriptome SequencingChromatin Immunoprecipitation Sequencing (ChIP-seq)
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Copyright © 2026 Novogene Corporation Inc. All rights reserved. For Research Use Only.
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    • Cart
    • Quote
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Novogene
  • Novogene
  • Genomics
    • Human Whole Genome Sequencing
    • Whole Exome Sequencing
    • Plant and Animal Whole Genome Sequencing
    • Plant and Animal De Novo Sequencing
    • Microbial Whole Genome Sequencing
    • Microbial De Novo Sequencing

    Metagenomics

    • Shotgun Metagenomics Sequencing
    • Amplicon Sequencing

    Transcriptomics

    • mRNA Sequencing
    • Swift & Express mRNA Sequencing New!
    • Full-Length Transcriptome Sequencing
    • Prokaryotic RNA Sequencing
    • Metatranscriptome Sequencing
    • Total RNA Sequencing
    • Small RNA Sequencing (sRNA‑seq)
    • Whole Transcriptome Sequencing

    Single Cell & Spatial Omics

    • 10x Single Cell Gene Expression
    • Illumina PIP-seq Single Cell 3’ RNA Sequencing New!
    • Spatial Transcriptomics Sequencing New!

    Epigenomics

    • Whole Genome Bisulfite Sequencing (WGBS)
    • Enzymatic Methylation Sequencing
    • Directed Methylation Sequencing (DM-Seq) New!
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • Cleavage Under Targets & Tagmentation (CUT&Tag) New!
    • Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)
    • Reduced Representation Bisulfite Sequencing (RRBS)

    Proteomics

    • Quantitative Proteomics New!
    • PTM Proteomics New!
    • Olink Proteomics New!

    Metabolomics

    • Untargeted Metabolomics

    Premade Library

    • Sequencing Only on Illumina Sequencer
    • Sequencing Only on Ultima Sequencer
  • PromotionsPromotions
    • Platforms
    • Service & Support
    • Automated Delivery Platform (Falcon)
    • Bioinformatics Analysis Tool (NovoMagic)
    • Customer Service System (CSS)
    • Case Study
    • Blog
    • Webinar
    • Brochure
    • Cancer Research
    • Immuno-oncology
    • Agrigenomics
    • Environment
    • Food Science
    • Human Microbiome
    • Plant and Animal Microbiome
    • Drug Discovery and Development
    • Rare and Complex Diseases
    • About Us
    • Our Locations
    • News & Events
    • Careers
  • Contact UsContact Us
    • mRNA Sequencing
    • Illumina Lane Sequencing

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Contact UsContact Us menu

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Services
mRNA SequencingSwift & Express mRNA SequencingTotal RNA SequencingHuman Whole Genome SequencingWhole Exome Sequencing10x Single Cell Gene ExpressionIllumina PIP-seq Single Cell 3’ RNA SequencingSpatial Transcriptomics SequencingWhole Genome Bisulfite Sequencing (WGBS)Quantitative ProteomicsUntargeted MetabolomicsShotgun Metagenomics SequencingMetatranscriptome SequencingSequencing Only on Illumina SequencerSequencing Only on Ultima SequencerFull-Length Transcriptome SequencingChromatin Immunoprecipitation Sequencing (ChIP-seq)
Company
About UsOur LocationsNews & EventsCareers
Contact Us
Contact Us
Service Support
Automated Delivery Platform (Falcon)Bioinformatics Analysis Tool (NovoMagic)Customer Service System (CSS)
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Copyright © 2026 Novogene Corporation Inc. All rights reserved. For Research Use Only.
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STOmics Spatial Gene Expression

Comprehensive spatial gene expression analysis to map transcriptomic landscapes across tissue sections and support the discovery of spatially defined cellular organization and function.
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

STOmics’ flagship technology, Spatial Enhanced REsolution Omics-sequencing (Stereo-seq), is an advanced spatial transcriptomics platform based on DNA Nano Ball (DNB) technology. This cutting-edge system offers unparalleled resolution, throughput, and field of view, enabling comprehensive spatial transcriptomic analysis across multiple scales—tissue, cellular, subcellular, and molecular levels. Using a patterned array chip and Coordinate ID (CID) system, Stereo-seq captures mRNA directly from tissue samples, restoring its precise spatial coordinates. As a transformative tool, Stereo-seq empowers researchers to elucidate the complex relationships between gene expression, cell morphology, and their local microenvironments.

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Benefits of Novogene’s STOmics Spatial Transcriptomics Service

Large Area High ResolutionLarge Area High Resolution
Large Area High Resolution

500 nm resolution with up to 13 cm × 13 cm capture area for gene and imaging analysis

Large Area High Resolution
Large Area High Resolution

500 nm resolution with up to 13 cm × 13 cm capture area for gene and imaging analysis

Broad Sample CompatibilityBroad Sample Compatibility
Broad Sample Compatibility

Compatible with fresh-frozen and FFPE samples across diverse animal and plant tissue types

Broad Sample Compatibility
Broad Sample Compatibility

Compatible with fresh-frozen and FFPE samples across diverse animal and plant tissue types

Pathology IntegrationPathology Integration
Pathology Integration

Single-section staining enables simultaneous pathological assessment and spatial transcriptomics analysis

Pathology Integration
Pathology Integration

Single-section staining enables simultaneous pathological assessment and spatial transcriptomics analysis

bg
bg

Benefits of Novogene’s STOmics Spatial Transcriptomics Service

Large Area High ResolutionLarge Area High Resolution
Large Area High Resolution

500 nm resolution with up to 13 cm × 13 cm capture area for gene and imaging analysis

Large Area High Resolution
Large Area High Resolution

500 nm resolution with up to 13 cm × 13 cm capture area for gene and imaging analysis

Broad Sample CompatibilityBroad Sample Compatibility
Broad Sample Compatibility

Compatible with fresh-frozen and FFPE samples across diverse animal and plant tissue types

Broad Sample Compatibility
Broad Sample Compatibility

Compatible with fresh-frozen and FFPE samples across diverse animal and plant tissue types

Pathology IntegrationPathology Integration
Pathology Integration

Single-section staining enables simultaneous pathological assessment and spatial transcriptomics analysis

Pathology Integration
Pathology Integration

Single-section staining enables simultaneous pathological assessment and spatial transcriptomics analysis

Applications

Tumor Microenvironment Research

Characterize the molecular and cellular landscape of the tumor microenvironment.

Tumor Microenvironment Research

Characterize the molecular and cellular landscape of the tumor microenvironment.

Immunology

Map the spatial distribution and interactions of immune cells within tissues.

Immunology

Map the spatial distribution and interactions of immune cells within tissues.

Neuroscience

Investigate neural cell function and expression patterns at unprecedented resolution.

Neuroscience

Investigate neural cell function and expression patterns at unprecedented resolution.

Biomarker Discovery

Identify cell-specific biomarkers for disease diagnosis and therapy development.

Biomarker Discovery

Identify cell-specific biomarkers for disease diagnosis and therapy development.

Applications

Tumor Microenvironment Research

Characterize the molecular and cellular landscape of the tumor microenvironment.

Tumor Microenvironment Research

Characterize the molecular and cellular landscape of the tumor microenvironment.

Immunology

Map the spatial distribution and interactions of immune cells within tissues.

Immunology

Map the spatial distribution and interactions of immune cells within tissues.

Neuroscience

Investigate neural cell function and expression patterns at unprecedented resolution.

Neuroscience

Investigate neural cell function and expression patterns at unprecedented resolution.

Biomarker Discovery

Identify cell-specific biomarkers for disease diagnosis and therapy development.

Biomarker Discovery

Identify cell-specific biomarkers for disease diagnosis and therapy development.

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Resources

Demo Results

Image
Image
1/1

Space Ranger is used to count the UMI for each gene on every bin, obtaining a bin-gene expression matrix for the sample. After performing data QC, the figure below shows the distribution of UMI per gene across the spatial regions of the tissue.

Image
Image
1/1

Cluster_Spatial: spatial distribution map of clusters; Cluster_tSNE: tSNE two-dimensional spatial representation map of clusters; Cluster_UMAP: UMAP two-dimensional spatial representation map of clusters

Image
Image
1/1

The top 4 differentially expressed genes of each cluster are displayed in several ways. The figure presents the t-SNE and UMAP dimensional reduction visualization of differentially expressed genes.

Image
Image
1/1

Space Ranger is used to count the UMI for each gene on every bin, obtaining a bin-gene expression matrix for the sample. After performing data QC, the figure below shows the distribution of UMI per gene across the spatial regions of the tissue.

Image
Image
1/1

Cluster_Spatial: spatial distribution map of clusters; Cluster_tSNE: tSNE two-dimensional spatial representation map of clusters; Cluster_UMAP: UMAP two-dimensional spatial representation map of clusters

Image
Image
1/1

The top 4 differentially expressed genes of each cluster are displayed in several ways. The figure presents the t-SNE and UMAP dimensional reduction visualization of differentially expressed genes.

Image
Image
1/1

Space Ranger is used to count the UMI for each gene on every bin, obtaining a bin-gene expression matrix for the sample. After performing data QC, the figure below shows the distribution of UMI per gene across the spatial regions of the tissue.

Image
Image
1/1

Cluster_Spatial: spatial distribution map of clusters; Cluster_tSNE: tSNE two-dimensional spatial representation map of clusters; Cluster_UMAP: UMAP two-dimensional spatial representation map of clusters

Image
Image
1/1

The top 4 differentially expressed genes of each cluster are displayed in several ways. The figure presents the t-SNE and UMAP dimensional reduction visualization of differentially expressed genes.

Service flyers

Icon
Novogene Stereo-seq OMNI Spatial Transcriptome Sequencing

Stereo-seq is an advanced technology that combines transcriptomics with spatial information. It enables mapping gene expression in tissue samples while preserving their spatial organization. Stereo-seq OMNI, a revolutionary sequencing-based spatial transcriptomics solution specially designed for studying FFPE samples, provides high-definition spatial whole transcriptome information at single-cell scale.

Icon
Novogene Stereo-seq OMNI Spatial Transcriptome Sequencing

Stereo-seq is an advanced technology that combines transcriptomics with spatial information. It enables mapping gene expression in tissue samples while preserving their spatial organization. Stereo-seq OMNI, a revolutionary sequencing-based spatial transcriptomics solution specially designed for studying FFPE samples, provides high-definition spatial whole transcriptome information at single-cell scale.

Icon
Novogene Stereo-seq OMNI Spatial Transcriptome Sequencing

Stereo-seq is an advanced technology that combines transcriptomics with spatial information. It enables mapping gene expression in tissue samples while preserving their spatial organization. Stereo-seq OMNI, a revolutionary sequencing-based spatial transcriptomics solution specially designed for studying FFPE samples, provides high-definition spatial whole transcriptome information at single-cell scale.

Icon
Novogene Stereo-seq OMNI Spatial Transcriptome Sequencing

Stereo-seq is an advanced technology that combines transcriptomics with spatial information. It enables mapping gene expression in tissue samples while preserving their spatial organization. Stereo-seq OMNI, a revolutionary sequencing-based spatial transcriptomics solution specially designed for studying FFPE samples, provides high-definition spatial whole transcriptome information at single-cell scale.

More Services

Spatial Transcriptomics Sequencing
(Spatial Transcriptomics Sequencing)
Spatial Transcriptomics Sequencing
(Spatial Transcriptomics Sequencing)
10x Single Cell RNA Sequencing
(10x Single Cell RNA Sequencing)
10x Single Cell RNA Sequencing
(10x Single Cell RNA Sequencing)

More Services

Spatial Transcriptomics Sequencing
(Spatial Transcriptomics Sequencing)
Spatial Transcriptomics Sequencing
(Spatial Transcriptomics Sequencing)
10x Single Cell RNA Sequencing
(10x Single Cell RNA Sequencing)
10x Single Cell RNA Sequencing
(10x Single Cell RNA Sequencing)
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STOmics Spatial Gene Expression

Comprehensive spatial gene expression analysis to map transcriptomic landscapes across tissue sections and support the discovery of spatially defined cellular organization and function.
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

STOmics’ flagship technology, Spatial Enhanced REsolution Omics-sequencing (Stereo-seq), is an advanced spatial transcriptomics platform based on DNA Nano Ball (DNB) technology. This cutting-edge system offers unparalleled resolution, throughput, and field of view, enabling comprehensive spatial transcriptomic analysis across multiple scales—tissue, cellular, subcellular, and molecular levels. Using a patterned array chip and Coordinate ID (CID) system, Stereo-seq captures mRNA directly from tissue samples, restoring its precise spatial coordinates. As a transformative tool, Stereo-seq empowers researchers to elucidate the complex relationships between gene expression, cell morphology, and their local microenvironments.

bg
bg

Benefits of Novogene’s STOmics Spatial Transcriptomics Service

Large Area High ResolutionLarge Area High Resolution
Large Area High Resolution

500 nm resolution with up to 13 cm × 13 cm capture area for gene and imaging analysis

Large Area High Resolution
Large Area High Resolution

500 nm resolution with up to 13 cm × 13 cm capture area for gene and imaging analysis

Broad Sample CompatibilityBroad Sample Compatibility
Broad Sample Compatibility

Compatible with fresh-frozen and FFPE samples across diverse animal and plant tissue types

Broad Sample Compatibility
Broad Sample Compatibility

Compatible with fresh-frozen and FFPE samples across diverse animal and plant tissue types

Pathology IntegrationPathology Integration
Pathology Integration

Single-section staining enables simultaneous pathological assessment and spatial transcriptomics analysis

Pathology Integration
Pathology Integration

Single-section staining enables simultaneous pathological assessment and spatial transcriptomics analysis

bg
bg

Benefits of Novogene’s STOmics Spatial Transcriptomics Service

Large Area High ResolutionLarge Area High Resolution
Large Area High Resolution

500 nm resolution with up to 13 cm × 13 cm capture area for gene and imaging analysis

Large Area High Resolution
Large Area High Resolution

500 nm resolution with up to 13 cm × 13 cm capture area for gene and imaging analysis

Broad Sample CompatibilityBroad Sample Compatibility
Broad Sample Compatibility

Compatible with fresh-frozen and FFPE samples across diverse animal and plant tissue types

Broad Sample Compatibility
Broad Sample Compatibility

Compatible with fresh-frozen and FFPE samples across diverse animal and plant tissue types

Pathology IntegrationPathology Integration
Pathology Integration

Single-section staining enables simultaneous pathological assessment and spatial transcriptomics analysis

Pathology Integration
Pathology Integration

Single-section staining enables simultaneous pathological assessment and spatial transcriptomics analysis

Applications

Tumor Microenvironment Research

Characterize the molecular and cellular landscape of the tumor microenvironment.

Tumor Microenvironment Research

Characterize the molecular and cellular landscape of the tumor microenvironment.

Immunology

Map the spatial distribution and interactions of immune cells within tissues.

Immunology

Map the spatial distribution and interactions of immune cells within tissues.

Neuroscience

Investigate neural cell function and expression patterns at unprecedented resolution.

Neuroscience

Investigate neural cell function and expression patterns at unprecedented resolution.

Biomarker Discovery

Identify cell-specific biomarkers for disease diagnosis and therapy development.

Biomarker Discovery

Identify cell-specific biomarkers for disease diagnosis and therapy development.

Applications

Tumor Microenvironment Research

Characterize the molecular and cellular landscape of the tumor microenvironment.

Tumor Microenvironment Research

Characterize the molecular and cellular landscape of the tumor microenvironment.

Immunology

Map the spatial distribution and interactions of immune cells within tissues.

Immunology

Map the spatial distribution and interactions of immune cells within tissues.

Neuroscience

Investigate neural cell function and expression patterns at unprecedented resolution.

Neuroscience

Investigate neural cell function and expression patterns at unprecedented resolution.

Biomarker Discovery

Identify cell-specific biomarkers for disease diagnosis and therapy development.

Biomarker Discovery

Identify cell-specific biomarkers for disease diagnosis and therapy development.

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.


*FFPE glass slides must be positive charged glass slides.

ServiceSample TypeSample AmountPreservationSample QCShipping
Stereo-seq OMNI
(Animal with reference genome)
FFPE block (recommended)1 block, FFPE block must be contained on plastic dehydrating box, otherwise could not be installed on the sectioning devicePreservation After embedding store at 4°C, protected from lightDV200% ≥ 30%Cold pack transportation
FFPE sectionRNA quality control sample: 10-15 sections of 5 μm thick paraffin rolls (at least 10 sections for biopsy samples);
Formal sample: 4-6 sections of 5 μm thick paraffin sections (adjacent sections).
Dry and sealed,storage time at 4°C< 30 days

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Stereo-seq (FFPE)
SpeciesNo species limitation
Resolution500nm
Sequencing platformBGI DNB-SEQ T7
Read lengthPE75
Recommended Data Amount2.5B reads per sample
AnalysisData QC
Mapping and Quantification
Dimensionality Reduction, Clustering, and Differential analysis:
Graphclust clustering
K-means clustering
Seurat Analysis:
PCA analysis
Spatial variable gene expression analysis
Clustering and dimensionality reduction analysis
Differential Expression Gene Analysis (DEG)
DEGs clustering heatmap
Spatial distribution of DEGs
Violine plot
t-SNE and UMAP dimensional reduction visualization
Functional Enrichment Analysis:
GO enrichment
KEGG enrichment
Reactome enrichment

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Project Workflow

Resources

Demo Results

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1/1

Space Ranger is used to count the UMI for each gene on every bin, obtaining a bin-gene expression matrix for the sample. After performing data QC, the figure below shows the distribution of UMI per gene across the spatial regions of the tissue.

Image
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Cluster_Spatial: spatial distribution map of clusters; Cluster_tSNE: tSNE two-dimensional spatial representation map of clusters; Cluster_UMAP: UMAP two-dimensional spatial representation map of clusters

Image
Image
1/1

The top 4 differentially expressed genes of each cluster are displayed in several ways. The figure presents the t-SNE and UMAP dimensional reduction visualization of differentially expressed genes.

Image
Image
1/1

Space Ranger is used to count the UMI for each gene on every bin, obtaining a bin-gene expression matrix for the sample. After performing data QC, the figure below shows the distribution of UMI per gene across the spatial regions of the tissue.

Image
Image
1/1

Cluster_Spatial: spatial distribution map of clusters; Cluster_tSNE: tSNE two-dimensional spatial representation map of clusters; Cluster_UMAP: UMAP two-dimensional spatial representation map of clusters

Image
Image
1/1

The top 4 differentially expressed genes of each cluster are displayed in several ways. The figure presents the t-SNE and UMAP dimensional reduction visualization of differentially expressed genes.

Image
Image
1/1

Space Ranger is used to count the UMI for each gene on every bin, obtaining a bin-gene expression matrix for the sample. After performing data QC, the figure below shows the distribution of UMI per gene across the spatial regions of the tissue.

Image
Image
1/1

Cluster_Spatial: spatial distribution map of clusters; Cluster_tSNE: tSNE two-dimensional spatial representation map of clusters; Cluster_UMAP: UMAP two-dimensional spatial representation map of clusters

Image
Image
1/1

The top 4 differentially expressed genes of each cluster are displayed in several ways. The figure presents the t-SNE and UMAP dimensional reduction visualization of differentially expressed genes.

Service flyers

Icon
Novogene Stereo-seq OMNI Spatial Transcriptome Sequencing

Stereo-seq is an advanced technology that combines transcriptomics with spatial information. It enables mapping gene expression in tissue samples while preserving their spatial organization. Stereo-seq OMNI, a revolutionary sequencing-based spatial transcriptomics solution specially designed for studying FFPE samples, provides high-definition spatial whole transcriptome information at single-cell scale.

Icon
Novogene Stereo-seq OMNI Spatial Transcriptome Sequencing

Stereo-seq is an advanced technology that combines transcriptomics with spatial information. It enables mapping gene expression in tissue samples while preserving their spatial organization. Stereo-seq OMNI, a revolutionary sequencing-based spatial transcriptomics solution specially designed for studying FFPE samples, provides high-definition spatial whole transcriptome information at single-cell scale.

Icon
Novogene Stereo-seq OMNI Spatial Transcriptome Sequencing

Stereo-seq is an advanced technology that combines transcriptomics with spatial information. It enables mapping gene expression in tissue samples while preserving their spatial organization. Stereo-seq OMNI, a revolutionary sequencing-based spatial transcriptomics solution specially designed for studying FFPE samples, provides high-definition spatial whole transcriptome information at single-cell scale.

Icon
Novogene Stereo-seq OMNI Spatial Transcriptome Sequencing

Stereo-seq is an advanced technology that combines transcriptomics with spatial information. It enables mapping gene expression in tissue samples while preserving their spatial organization. Stereo-seq OMNI, a revolutionary sequencing-based spatial transcriptomics solution specially designed for studying FFPE samples, provides high-definition spatial whole transcriptome information at single-cell scale.

More Services

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(Spatial Transcriptomics Sequencing)
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(Spatial Transcriptomics Sequencing)
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(10x Single Cell RNA Sequencing)
10x Single Cell RNA Sequencing
(10x Single Cell RNA Sequencing)

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(Spatial Transcriptomics Sequencing)
Spatial Transcriptomics Sequencing
(Spatial Transcriptomics Sequencing)
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(10x Single Cell RNA Sequencing)
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(10x Single Cell RNA Sequencing)
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