Bioinformatics Analysis for Nephrology
The kidneys are not beating like the heart, and the stomach does not feel swollen and painful due to overeating. It acts as a body scavenger in the human body, filtering and removing metabolites. It is precisely because there is no manifestation of pain. Therefore, by the time symptoms (such as fatigue, easy fatigue, backache, low back pain, hematuria, etc.) are shown, kidney function may have been lost. The affected area is not only the urinary system, but also spreads to the circulatory system, causing great harm to health. Kidney disease is a common and frequently-occurring disease, if the deterioration may develop uremia, serious harm to life and health. Chronic kidney disease has become another important disease threatening human health after cardiovascular and cerebrovascular diseases, tumors, and diabetes, and has become a global public health problem.
Application of Bioinformatics in the Research of Nephrology
The rapid development of high-throughput omics technology has obtained massive amounts of different types of biomolecular data. The rapid development of bioinformatics technology helps us to interpret such huge amounts of data and explore the potential molecular mechanisms in the process of life or disease. High-throughput omics technology and bioinformatics technology have been widely used in kidney disease research. For example, the integrated analysis of multiple omics data helps us better understand the genetic basis of kidney disease and the pathological process behind it, and provides help for early diagnosis and treatment decision research.
Fig 1. Four loci identified with genome-wide significance for Rapid3 or CKDi25 in the research of rapid kidney function decline. (Gorski M, et al. 2020)
How We Can Help Your Nephrology Research
By combining our expertise in bioinformatics analysis with our extensive knowledge in the field of kidney diseases, from pre-clinical to clinical, we can provide support for your research at every stage of research. Our bioinformatics service can help:
- Genome-wide association analysis: The use of GWAS analysis method to study the genetic mutation background of kidney disease is of great significance for improving the treatment of kidney disease.
- Multi-omics joint analysis: combine different omics to conduct joint analysis and research on nephropathy, obtain susceptibility genes, identify drug targets, etc.
- Meta-analysis: Exploring factors related to the occurrence of infectious diseases by integrating phenotype and environmental or genetic factors.
- Data mining: Use bioinformatics technology to mine international biomedical public data, find the metabolic regulation pathways, key genes and interaction targets of various molecules, and provide support for molecular typing and targeted drug development.
In addition, we will use cutting-edge analysis technology 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 genome-wide association analysis.
As one of the experienced biological information analysis service providers, CD Genomics provides established, cost-efficient, and rapid turnaround nephrology-related data analysis services for biomedical researchers. For nephrology study, 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.
Biomedical-Bioinformatics, as a division of CD Genomics, provides researchers with high-quality personalized data analysis and chart production services with a strong technical team. For NGS-data analysis, we provide a series of omics data analysis services to analyze whole genome, whole exome, transcriptome, proteome, DNA methylation, microbiome, etc. Our analysts can help you answer key questions and reduce wet lab work to hasten the discovery process. For more detailed information for data analysis, please feel free to contact us.
- Gorski M, et al. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline[J]. Kidney Int. 2020 Oct 31: S0085-2538(20)31239-4.
- Gu X, et al. Kidney disease genetic risk variants alter lysosomal beta-mannosidase (MANBA) expression and disease severity[J]. Sci Transl Med. 2021 Jan 13;13(576): eaaz1458.
* For research use only. Not for use in clinical diagnosis or treatment of humans or animals.
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