Single-cell RNA sequencing (scRNA-seq) measures the expression levels of thousands of genes simultaneously. It has emerged as a powerful tool to unravel the molecular landscape of aging at the cellular level. At CD BioSciences, we offer cutting-edge single-cell transcriptome profiling services that enable our clients to gain unprecedented insights into the gene expression dynamics of aging cells.
Our primary scRNA-seq platforms include droplet-based and plate-based single-cell RNA sequencing (scRNA-seq). These platforms offer distinct advantages in terms of scalability, sensitivity, and throughput. In droplet-based scRNA-seq, we can capture individual cells in nanoliter-scale droplets to obtain high-resolution gene expression profiles. In plate-based scRNA-seq, we isolate individual cells into wells of a microtiter plate and perform high-throughput sequencing to quantify gene expression in each cell.
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Cell clustering and aging-associated cell subpopulation identification | We employ clustering algorithms to group cells based on their transcriptomic similarities, revealing distinct cell subpopulations within the samples. Then, we assess the differential expression of genes within these cell clusters to identify transcriptomic signatures associated with aging-related changes in cellular composition or function. |
Trajectory analysis and pseudo-time inference | We perform trajectory analysis or pseudo-time inference to reconstruct the potential developmental or differentiation trajectories within the aging cell populations. We also identify and characterize transcriptomic changes along these trajectories to elucidate aging-related processes such as cellular senescence, and differentiation dynamics. |
Aging-associated biomarkers identification | We conduct differential gene expression analysis to identify genes that exhibit age-associated expression changes within the single-cell transcriptomic data, which serve as potential biomarkers or regulators of age-related cellular processes and pathways. |
Characterization of cell-type specific aging
By profiling gene expression in individual cells, we can identify cell-type-specific gene expression changes associated with aging. This helps us understand how different cell types contribute to the aging process.
Evaluation of interventions
We also use single-cell transcriptome sequencing to assess the effects of potential interventions aimed at promoting healthy aging. By comparing gene expression profiles before and after intervention, we can evaluate the impact of therapeutic strategies on cellular gene expression patterns.
CD BioSciences, with its single-cell transcriptome profiling technology platforms, rigorous workflow, and data analysis expertise, helps our clients gain valuable insights into the molecular changes associated with aging. If you are interested in our services, please feel free to contact us or make an online inquiry.
All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.