Transcriptome Analysis of Aging

INQUIRY

Aging brings about declines in various physiological and biochemical functions and is a risk factor for many age-related diseases. To gain a fundamental understanding of the mechanisms of age-related changes at the molecular level, we can use transcriptome analysis of aging samples to help identify transcriptome-wide changes leading to aging-related changes. CD BioSciences is committed to working with researchers around the world to determine the best solution or technology for your aging-related transcriptomic research project.

Introduction of Aging Transcriptomic Analysis

Transcriptome analysis is an important tool for studying aging, which can detect age-related transcriptome changes in different age sample species. We can obtain a functional characterization of relevant genes and transcripts by classifying all transcripts, analyzing the variation of expressed genes, and quantifying the levels of transcripts under different conditions.

Our Aging Transcriptome Analysis Services

Whole Transcriptome Sequencing for Aging Studies

Whole Transcriptome Sequencing for Aging Studies

We provide whole transcriptome sequencing that involves a wide range of transcriptome analysis to aid in-depth analysis of aging-related gene expression, which can include the analysis of coding and non-coding RNAs such as mRNA, lncRNA, miRNA, and circRNA for a comprehensive transcriptional regulatory networks analysis.

Targeted Aging-Related Transcriptome Analysis

Targeted Aging-Related Transcriptome Analysis

We offer targeted RNA sequencing services to select specific transcripts for accurate characterization and quantification. We achieve this highly accurate approach by either enrichment or amplicon methods, both of which enable us to perform expression analysis of aging genes of interest to understand aging mechanisms and age-related disease processes.

Transcriptome Analysis of microRNA in Aging Research

Transcriptome Analysis of microRNA in Aging Research

It has been shown that miRNA expression changes dramatically during human aging. In some cases, age-related changes in miRNA expression appear to have a protective effect against divine aging.

We provide microRNA sequencing services including novel microRNA discovery, expression, and characterization to support the research interest in aging-related microRNAs.

Transcriptome Analysis of IncRNA in Aging Research

Transcriptome Analysis of IncRNA in Aging Research

We provide transcriptome analysis of lncRNAs, which are non-coding RNAs of more than 200 nucleotides in length. We analyze a variety of their cellular functions, such as the regulation of gene transcription, post-transcriptional modifications, and epigenetics. We highlight their relationship with genomic regulation, cellular functions, aging processes, and age-related diseases.

Transcriptomic Aging Clock Development Services

Transcriptome Analysis of CircRNA in Aging Research

We provide assays to detect the level of circRNA expression in tissues or cells as aging occurs. Based on this, we can investigate whether the accumulation of circRNAs is associated with aging and age-related diseases.

Applications of Aging Transcriptome Analyses

Our professional services help researchers achieve research goals in a wide range of applications.

Study of aging mechanisms and therapy development through tissue-specific transcripts or gene expression.
Discovery of new aging-related transcripts, variable splicing, and transcript variants.
Quantitative analysis of transcripts in tissues or samples of different ages.

With the unique state-of-the-art RNA sequencing technology, CD BioSciences can help you with your aging transcriptomics research. Our diverse and customizable services can help scientists further explore the fundamental field of aging. Please feel free to contact us with the services you need and we will respond to your questions and requests within 24 hours.

All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.