Transcriptomic Analysis of Cellular Senescence

Cellular senescence is specific and different tissues and organs have different rates of cellular senescence, so we need more studies to increase our understanding of senescent cells. As a unique technology expert in senescence research, CD BioSciences can provide transcriptome analysis of senescent cells, primarily by characterizing the transcriptome to understand the transcriptomic mechanisms of cellular senescence and find specific transcriptional markers in specific senescent cells.

Introduction of Transcriptional Heterogeneity of Senescent Cells

Cellular senescence is heterogeneous, including its transcriptome characteristics. It has different transcriptomic changes and some interventions or drugs for senescence will produce different effects. That is, specific cells have different mechanisms of aging.

Fig. 1 Transcriptional heterogeneity in senescent cells in vitro. (Kim S and Kim C, 2021)

We perform many approaches to detect specific senescent cells, including observing senescence-specific cell types in various tissues, monitoring changes in cell populations, and identifying specific populations associated with senescence. We provide transcriptome analysis of senescent cells to help clients establish novel anti-aging interventions or therapeutic regimens by detecting and analyzing the transcriptome characteristics of senescent cells to provide a detailed understanding of senescent cells at the molecular level and to identify new targets for aging interventions.

Our Services of Senescent Cells Transcriptome Analysis

We provide RNA sequencing analysis to help researchers and biopharmaceutical companies explore the specificity and potential biomarkers of senescent cells.

Senescent cell model construction

We construct target cell lines and culture them in appropriate media that can be set up to induce multiple mechanisms of senescence to be used when the cells are cultured to replicative failure.

RNA sequencing

We extract total RNA first, then create double-end cDNA libraries. All senescence models are sequenced using Illumina to ensure the quality of the sequencing data.

Bioinformatics analysis

We carry out differential expression analysis of RNA sequencing data, do quality control for sample bias and abundance bias, and identify common features of the transcriptome of senescent cells and differentially expressed RNAs.

Our Submitted Results of Senescent Cells Transcriptome Analysis

We obtain complete transcriptome data with low error, analyze and provide more of the data results you are looking for. This includes but is not limited to the following:

• Characterization results of senescent cell models. We determine the senescence phenotype of senescent cell populations, assess senescence-related enzymatic activities to monitor the senescence process, and finally form a mature cellular senescence model for further analysis.
• Sequencing results of the transcriptome of senescent cells. We analyze sequencing data bioinformatically and compare it with control data to obtain differential expression RNA analysis. Then, we identify senescence-associated transcripts and validate the results.

CD BioSciences provides knowledge and technical consultation related to the aging transcriptome to help our clients solve problems and advance their research. If you are interested in our services, please feel free to contact us or make an online inquiry.

Reference

1. Kim S, Kim C. Transcriptomic Analysis of Cellular Senescence: One Step Closer to Senescence Atlas. Mol Cells, 2021, 44 (3): 136-145.