Overview of single cell RNA sequencing

In bulk RNA sequencing, the assay results can usually only be used to reveal the average gene expression level of the entire cell population, and are not representative of the transcriptome of each individual cell. Bulk transcriptome sequencing data are better suited for the study of gene expression profiles under a variety of different conditions. Compared to whole transcriptome sequencing, analyzing single-cell RNA sequencing can unlock the limitations of studying gene expression patterns between different cells and allow us to understand expression differences between cells. Complex biological systems are determined by the coordinated functions of individual cells, so single-cell resolution RNA sequencing is important for cellular heterogeneity analysis. In addition to cellular heterogeneity analysis, single-cell RNA sequencing is also suitable for cellular subpopulation response to physiological environmental changes, identification of low-copy RNA distribution, and examination of stochasticity of gene expression at the cellular level. CD Genomics can provide you with NGS-based single cell RNA sequencing services that can enhance the study of cellular heterogeneity in various time-dependent related processes under physiological conditions (e.g. disease generation and development), which can contribute to the development of the pharmaceutical field.

The workflow of transcriptome sequencing service

Here, CD Genomics offers NGS-based single-cell RNA sequencing services to help researchers explore the unique biology of individual cells in complex tissues and understand the responses of cell populations and cell subpopulations to various time-dependent processes of changes in the physiological environment, such as differentiation, proliferation, and disease progression.

01. Sequencing sample requirements

02. Single cell library construction and NGS

NGS-based Illumina / MGI platform

03. Bioinformatics Analysis

• Read alignment
• Feature-barcode matrix
• Digital gene expression matrix
• Clustering
• Gene expression analysis
• t-SNE projections

Advantages of our transcriptome sequencing service

• Robust transcriptome analysis down to single-cell input levels for high-quality samples
• Integrated protocol proceeds directly from whole cells and preserves sample integrity
• High resolution analysis enables discovery of cellular differences usually masked by bulk sampling methods

Applications in pharma research

CD Genomics provides single-cell resolution RNA sequencing services with applications in cell heterogeneity studies, disease generation mechanisms, time-dependent studies of disease at the cellular level, and single immune cell analysis in immune mechanisms. In the biopharmaceutical field, our single cell RNA sequencing can advance research on disease development mechanisms and drug discovery.

CD Genomics is committed to combining professional project protocol guidance and standardized analysis processes to ensure that your project is performed accurately and quickly. If you are interested in CD Genomics' single cell RNA sequencing service in the field of pharma research, please feel free to contact us now.