10x Single Cell RNA-Seq Service
10x Single Cell RNA-Seq is an advanced transcriptomic analysis tool that enables the profiling of gene expression at the Single Cell level with high precision and throughput. The 10x Single Cell RNA-Seq Service utilizes the 10x Genomics Chromium platform, which employs microfluidic droplet-based technology to partition thousands of individual cells, encapsulating them with unique barcoded beads. Through this process, each cell's transcriptome is captured independently, and unique molecular identifiers (UMIs) prevent amplification biases during cDNA synthesis. The resulting libraries undergo next-generation sequencing (NGS), allowing for comprehensive transcriptomic analysis of diverse biological samples while preserving cellular heterogeneity.
This method is instrumental in understanding complex biological systems. The 10x Single Cell RNA-Seq approach enables cell-type identification, lineage tracing, and differential gene expression analysis, providing key insights into tumor microenvironments, immune cell dynamics, neurodevelopmental processes, and stem cell differentiation. Compared to bulk RNA sequencing, 10x Single Cell RNA-Seq approach resolves transcriptomic heterogeneity within a population, allowing researchers to characterize rare and functionally distinct cell subsets that drive physiological and pathological processes.
Figure 1. Applications of 10x Single Cell RNA-Seq
MtoZ Biolabs offers a comprehensive 10x Single Cell RNA-Seq Service. Our 10x Single Cell RNA-Seq Service provides a seamless workflow from sample preparation to advanced bioinformatics analysis. We ensure high-quality data, tailored to meet the specific needs of your research, enabling precise insights into gene expression and cellular function.
Analysis Workflow
The 10x Single Cell RNA-Seq Service begins with tissue sample collection, followed by single-cell capture and cell isolation. RNA is then reverse-transcribed into cDNA, with molecular barcoding applied to label each individual cell’s RNA. The barcoded cDNAs are used to construct the scRNA-Seq library, preparing the sample for sequencing. In the deep sequencing step, high-throughput technologies capture the entire transcriptomic data from each cell. Finally, data analysis interprets the sequencing results, revealing detailed insights into gene expression patterns, cellular diversity, and functional states. This streamlined process ensures comprehensive, accurate results for single-cell analysis, driving meaningful biological insights.
Figure 2. An Overview of the 10x Single Cell RNA-Seq Service Procedures
Service Advantages
1. Extensive Sample Processing Experience: Our team has extensive expertise in preparing and processing a wide variety of sample types, ensuring optimal cell viability and quality RNA capture.
2. Advanced Analysis Platform: Utilizing 10x Genomics Chromium technology, MtoZ Biolabs provides unmatched single-cell resolution, allowing for comprehensive gene expression profiling across thousands of individual cells in a single experiment.
3. In-Depth Data Analysis: The 10x Single Cell RNA-Seq Service apply advanced computational tools to analyze the generated data, providing robust insights into cellular heterogeneity, gene regulatory networks, and cell-type identification that drive meaningful biological conclusions.
4. End-to-End Solution: We offer a complete workflow from sample preparation to bioinformatics analysis.
5. Customizable Analysis: MtoZ Biolabs' 10x Single Cell RNA-Seq Service includes tailored bioinformatics pipelines, enabling flexible data analysis that aligns with specific research goals and experimental design, whether for cellular subpopulation analysis or differential gene expression.
Applications
The 10x Single Cell RNA-Seq Service is applicable across various research fields, including:
1. Immune cell profiling: Analyze immune cell heterogeneity and activation states.
2. Cancer research: Investigate tumor microenvironment and TIL dynamics.
3. Stem cell research: Study differentiation processes and stem cell populations.
4. Developmental biology: Examine gene expression changes during development.
Sample Results
1. Examples of the t-SNE and UMAP Plots:
Ochocka, N. et al. Nat Commun. 2021.
2. Example of Expression Pattern of Differentially Expressed Genes:
Ochocka, N. et al. Nat Commun. 2021.
Deliverables
1. Comprehensive Experimental Details
2. Materials, Instruments, and Methods
3. Data Analysis and Preprocessing
4. The Detailed Information of Single Cell RNA-Seq Results
5. Bioinformatics Analysis
6. Raw Data Files
For more information about our 10x Single Cell RNA-Seq Service, please contact us.
How to order?
