10x Multiome Sequencing Service

10x Multiome Sequencing is an advanced approach that integrates genomic and epigenomic data at single-cell resolution, combining RNA sequencing (RNA-Seq) and chromatin accessibility profiling (ATAC-Seq). This powerful technology simultaneously measures gene expression and the chromatin state—the accessibility of DNA regions that regulate gene activity—providing a comprehensive view of cellular processes. The 10x Multiome Sequencing Service uses the 10x Genomics Chromium platform, enabling high-throughput analysis with high sensitivity and precision. By capturing both transcriptional and regulatory layers of data from individual cells, the 10x Multiome Sequencing Service helps link gene activity with epigenetic modifications that drive cellular differentiation, development, and disease.

 

Service at MtoZ Biolabs

MtoZ Biolabs offers the 10x Multiome Sequencing Service to empower researchers with a complete, end-to-end solution. From sample preparation to high-quality sequencing and advanced bioinformatics analysis, MtoZ Biolabs provides custom-tailored services that yield accurate, actionable insights into gene expression and regulation. The 10x Multiome Sequencing Service is ideal for scientists looking to advance their understanding of complex biological systems and disease processes, helping to pave the way for personalized medicine and targeted therapies. Free project evaluation, welcome to learn more details!

 



 

Zhu, K. et al. Sci Adv. 2023.

 

Figure 1.  Joint Single-Cell Profiling of RNA Expression and Chromatin Accessibility of Human Neocortex

 

Service Advantages

1. Advanced Analysis Platform: MtoZ Biolabs established an advanced 10x Multiome Sequencing Service platform, guaranteeing reliable, fast, and highly accurate analysis service.

2.  One-Time-Charge: Our pricing is transparent, no hidden fees or additional costs.

3. High-Data-Quality: Deep data coverage with strict data quality control. AI-powered bioinformatics platform integrates all 10x Multiome Sequencing Service data, providing clients with a comprehensive data report.

 

Applications

1. Discovery of Novel Cell Types

By combining RNA and epigenomic data, 10x Multiome Sequencing enables the identification of previously uncharacterized cell types and subpopulations within heterogeneous tissues or tumors.

 

2. Tissue and Tumor Heterogeneity

The 10x Multiome Sequencing Service provides a comprehensive view of tissue and tumor heterogeneity, revealing the diversity of cell states and regulatory mechanisms that drive disease progression and response to therapy.

 

3. Atlas Generation

The ability to simultaneously profile gene expression and chromatin accessibility makes 10x Multiome Sequencing an ideal tool for creating comprehensive cellular atlases across different tissues, organs, or disease states.

 

4. Biomarker Discovery

By analyzing gene expression and epigenetic modifications, researchers can identify novel biomarkers for early disease detection, prognosis, and therapeutic targeting.

 

5. Insights into Complex Diseases

MtoZ Biolabs' 10x Multiome Sequencing Service helps provide crucial insights into complex diseases by uncovering how genetic and epigenetic changes interact to affect cellular behavior and contribute to disease pathogenesis.

 

6. Novel Pathways and Networks

The integrated analysis of transcriptional activity and chromatin accessibility offers the opportunity to discover new pathways and gene regulatory networks that play a role in development and disease, helping to identify potential therapeutic targets.

 

Case Study

1. Investigating Brain Development and Neuropsychiatric Disorders with 10x Multiome Sequencing Service

In a study exploring the cellular complexity of the human brain, researchers simultaneously profiled gene expression and chromatin accessibility in 45,549 cortical nuclei across six developmental time points, from fetus to adult. By utilizing the 10x Multiome Sequencing technology, they uncovered cell type-specific domains where chromatin accessibility was highly correlated with gene expression. This study enabled pseudotime trajectory analysis, revealing that chromatin changes at cis-regulatory elements (CREs) precede transcription, providing insights into neuronal lineage commitment. Additionally, the integrated data helped map genetic loci linked to neuropsychiatric traits such as schizophrenia and bipolar disorder. This case exemplifies how the 10x Multiome Sequencing Service facilitates the exploration of spatiotemporal gene regulation, cellular differentiation, and their implications in neurodevelopment and disease. 

 



 

Zhu, K. et al. Sci Adv. 2023.

 

Figure 2.  UMAP Visualizations of Single Cells Defined by RNA-Seq and ATAC-Seq Data, Respectively

 

2. Single-Cell Multi-Omics Map of Human Fetal Blood in Down Syndrome Using 10x Multiome Sequencing Service

This study aimed to understand dysregulated hematopoiesis in Down syndrome by integrating single-cell transcriptomics and chromatin accessibility data from fetal liver and bone marrow samples. The analysis revealed that hematopoietic stem cells (HSCs) in trisomy are primed for differentiation. By using the 10x Multiome Sequencing Service, the researchers created a Down syndrome-specific multi-omics map, linking non-coding elements to key genes in HSCs. This map showed how trisomy restructured regulatory interactions, affecting erythroid lineage differentiation and enhancer activity, offering valuable insights into the regulatory changes behind hematological conditions in Down syndrome.

 



 

Marderstein, A. R. et al. Nature. 2024.

 

Figure 3.  Multiome Analysis

 

FAQ

Q: What are the differences between single-cell 10x Multiome Sequencing Service and bulk sequencing?

The single-cell 10x Multiome Sequencing Service enables the analysis of both gene expression (RNA-Seq) and epigenetic modifications (e.g., chromatin accessibility) at single-cell resolution, providing insights into cellular heterogeneity and individual cell states. In contrast, bulk sequencing averages data across all cells in a sample, obscuring variations within heterogeneous populations. The single-cell approach offers more precise and personalized insights into cellular behavior, differentiation, and disease mechanisms.