Single-Cell Aging Clock Development Services
Technology Platforms & Expertise
Online Inquiry

Single-Cell Aging Clock Development Services

1-1-7-6-single-cell-aging-clock-development-services-1

While individual cells are the units of life, all existing epigenetic clocks rely on measurements derived from bulk samples, both for the creation and application of these models. Advances in epigenomic sequencing methods have now made it possible to evaluate limited methylation profiles in single cells. Based on this, CD BioSciences offers comprehensive single-cell aging clock development services that allow for the precise measurement and analysis of cellular aging.

Overview of Our Single-Cell Aging Clock Services

Assessing methylation profiles in single cells

We provide high-resolution DNA methylation profiling at the single-cell level by single-cell bisulfite sequencing (scBS-Seq) or single-cell reduced representation bisulfite sequencing (sc-RRBS). To address the problem of intrinsic sparsity, we employ Bayesian or deep learning approaches to fill in missing methylation states for CpGs not covered in any given cell.

Developing single-cell aging clocks

We utilize advanced computational methods and bioinformatics tools to integrate and analyze the vast amounts of data generated during the development of single-cell aging clocks. By employing sophisticated algorithms, we can identify patterns and correlations within the data, enabling us to create highly accurate predictive models of cellular aging.

Assessing the biological age of individual cells

We use single-cell aging clocks to assess the biological age of individual cells. Besides, we also can identify age-related variations in different cell populations, uncovering cellular subtypes with distinct aging trajectories and functional states.

Development Process of Single-Cell Aging Clocks

  • Sample collection and preparation
    We employ rigorous protocols to obtain samples from various tissues and cell types, ensuring the representation of diverse aging populations. These samples are then processed and prepared for single-cell analysis, minimizing any potential biases or artifacts.
  • Single-cell epigenomic sequencing
    We perform single-cell sequencing to obtain comprehensive molecular profiles of individual cells.
  • Aging clock modeling
    Once the single-cell data is obtained, we employ advanced statistical and machine-learning techniques to construct aging clock models. Through iterative refinement and validation, we identify the optimal algorithmic approaches that best characterize the aging process.
  • Validation and calibration
    To ensure the reliability and generalizability of our aging clocks, we subject them to rigorous validation and calibration processes. Through this iterative validation process, we refine and improve the accuracy of our aging clocks.

Applications of Single-Cell Aging Clocks in Aging Studies

Longitudinal studies and aging intervention

We use single-cell aging clocks to facilitate longitudinal studies, monitoring changes in cellular aging over time and assessing the effects of aging interventions, lifestyle modifications, or pharmacological treatments at the single-cell level. We utilize this capability of the aging clock to evaluate the effectiveness of interventions targeting aging-related processes.

Disease modeling and biomarker discovery

We also identify unique aging signatures associated with specific disease states by aging clocks, offering insights into disease progression and the potential development of age-related biomarkers.

At CD BioSciences, we offer systematic development services for single-cell aging clocks, including sample collection and preparation, single-cell sequencing, feature selection and model training, and validation and calibration, guaranteeing the reliability and precision of our aging clock models. 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.