Single-Cell Transcriptome Profiling for Aging Characterization
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Single-Cell Transcriptome Profiling for Aging Characterization


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.

Technology Platforms for Single-Cell Transcriptome Sequencing

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.

Our Workflow for Single-Cell Transcriptome Sequencing

Our Workflow for Single-Cell Transcriptome Sequencing

  • Sample collection and preparation
    We establish the optimal sample collection and preparation protocols for our client's specific aging research projects. Our previous successful biospecimen types include healthy aging cohorts, aging-related disease cohorts, aging animal models, etc.
  • Cell isolation and capture
    Depending on the sample type and experimental requirements, we employ various techniques such as fluorescence-activated cell sorting (FACS), laser capture microdissection (LCM), or manual cell picking to isolate specific cell populations of interest. Once isolated, the cells are captured using droplet-based or plate-based methods.
  • RNA extraction, library preparation, sequencing
    After cell capture, we perform RNA extraction to isolate the cellular RNA. The extracted RNA is then subjected to reverse transcription to convert it into cDNA for library construction and high-throughput sequencing.
  • Data analysis
    We perform quality control, read alignment, gene quantification, normalization, and statistical analysis to identify differentially expressed genes, define cell clusters, reconstruct gene regulatory networks, and detect aging-related genes.
Data Analysis Services Details
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.

Applications of Single-Cell Transcriptome Profiling in Aging Studies

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.