Bioinformatics Analysis for CNS

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Introduction

The central nervous system (CNS) is the main part of the nervous system. Its location is often on the central axis of the animal body, consisting of obvious brain ganglia, nerve cords, or brain and spinal cord, and the connections between them. Central nervous system degenerative diseases refer to a group of diseases caused by chronic and progressive degeneration of central nervous tissue. Pathologically, neuronal degeneration and loss of the brain and (or) spinal cord can be seen. The main diseases include Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and Huntington disease (HD), etc.

Application of Bioinformatics in the Research of CNS Diseases

With the development of biotechnology, a large amount of experimental data and high-throughput sequencing data have been generated, such as a large number of central nervous system disease-related sample omics-DNA (genome), mRNA (transcriptome), and protein sequence (proteome) data. Understanding the related pathways and gene expression changes of central nervous system diseases such as Alzheimer's disease, dementia, epilepsy and Parkinson's disease through the means of bioinformatics data analysis is essential for the treatment of these diseases.

Characterization of the skin microbiome in atopic dermatitis and psoriasis. The figure shows an evolutionary tree based on 16S rRNA gene sequences, abundance and statistical significance of the 95 most abundant OTUs.Fig 1. Cognition as a Function of Age in Controls Who Were Noncarriers or Carriers of rs75932628-T Variant Associated with the Risk of Alzheimer's Disease. (Jonsson T, et al. 2013)

How We Can Help Your CNS Disease Research

By combining our expertise in bioinformatics analysis with our extensive knowledge in the CNS field, from pre-clinical to clinical, we can support your disease research at every stage. Our bioinformatics service can help you with:

  • Genome-wide association analysis: mining genetic factors related to the occurrence of central nervous system diseases.
  • Meta-analysis: by integrating phenotypes and environmental or genetic factors, mining factors related to the occurrence of central nervous system diseases.
  • Omics data analysis: Research on the pathogenesis of central nervous system diseases.
  • Biomarker and target discovery: Identify disease markers and biomarkers used to measure drug efficacy and mechanism of action.
  • Genotyping analysis: SNP genotype analysis and DNA sequence analysis are used to detect new SNPs related to disease or drug response.
  • Data landscaping and mining: Data landscaping and mining of public datasets for proteomics and/or gene expression data, related to a range of disorders including Alzheimer's disease, Parkinson's disease, dementia, and epilepsy, etc.

In addition, we will use cutting-edge analysis techniques to conduct personalized analysis of data according to the customer's project analysis needs.

An Example of a Data Analysis Process

CD Genomics provides a one-stop bioinformatics data analysis service, and customers only need to provide raw data. The flowchart below shows the general steps for disease research meta-analysis.

The figure shows the general steps for disease research meta-analysis. - CD Genomics.

Service Process

CD Genomics CNS bioinformatics data analysis service process. - CD Genomics.

As one of the experienced bioinformatics analysis service providers, CD Genomics provides established, cost-efficient, and rapid turnaround CNS data analysis services for biomedical researchers. For CNS-related research, CD Genomics not only provides bioinformatics data analysis services, but can also help researchers formulate appropriate technical routes and provide related technical services according to the research purposes of the researchers. If you have any questions about the data analysis cycle, analysis content and price, please click online inquiry.

What's More

Biomedical-Bioinformatics, as a division of CD Genomics, provides researchers with high-quality personalized data analysis and chart production services. For more detailed information, such as sequencing, data landscaping and mining, or data analysis services and others chart production services, please feel free to contact us. We look forward to working with you!

Reference

  1. Jonsson T, et al. Variant of TREM2 associated with the risk of Alzheimer's disease[J]. N Engl J Med. 2013 Jan 10;368(2):107-16.

* For research use only. Not for use in clinical diagnosis or treatment of humans or animals.

Online Inquiry

Please submit a detailed description of your project. Our industry-leading scientists will review the information provided as soon as possible. You can also send emails directly to for inquiries.

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