Obesity Gene Screening Service
InquiryOverview
Epigenetic dysregulation is a key feature in the development of obesity. Studies have identified methylation changes in the promoters of a variety of genes related to obesity, appetite control, metabolism, insulin signaling, and immunity. The study of epigenetic aberrations in these genes plays an important role in the study of changes in energy metabolism, transcriptional regulation, immune response, risk of obesity, and personalized interventions.
Partner with Us to Decode the Epigenetic Landscape of Obesity
Protheragen is a pioneer in the field of Obesity Research and provides high-quality genetic screening services for obesity. We utilize cutting-edge technology to detect dynamic epigenetic modifications that determine gene expression, helping to identify key genes and Epigenetic mechanisms that drive obesity onset, progression, and potential therapeutic interventions. By mapping the epigenetic profile of alterations that occur in different obesity-related contexts and analyzing the correlations with other factors, we help to unravel the complex regulatory networks behind Obesity.
DNA Methylation Analysis
We have numerous techniques to analyze DNA methylation, including but not limited to: whole genome bisulfite sequencing (WGBS), reduced representation bisulfite sequencing (RRBS), targeted methylation sequencing, chromatin immunoprecipitation sequencing (ChIP-seq), and more. Understanding obesity risk by analyzing the interaction of DNA methylation patterns with other factors provides clues for early prevention and intervention of obesity.
RNA Sequencing
We quantify gene expression levels by directly measuring the amount of RNA molecules in cells to identify genes that are significantly differentially expressed between samples. These differentially expressed genes may be directly involved in the onset and progression of obesity or related metabolic disorders.
DNA Sequencing
DNA sequences and exon regions of samples are sequenced using whole genome sequencing, whole exome sequencing, and next-generation sequencing (NGS) technologies to fully understand the differences in genetic information.
Workflow
- Sample submission
Upon receipt of the samples, we conduct stringent quality testing (e.g., DNA concentration, purity, and integrity assessment) to ensure that the samples meet the requirements of subsequent experiments. In addition, depending on the sample type, we also provide high-quality DNA and RNA extraction services.
- Library construction
A standardized library construction process is performed based on the selected technology platform. Each library undergoes strict quality control to ensure that it meets sequencing standards.
- High-throughput sequencing
The libraries are sequenced using industry-leading sequencing platforms to obtain relevant information.
- Bioinformatics analysis
Comprehensive bioinformatics analysis of sequencing data includes sequence comparison, genetic variation interpretation, differential methylation analysis, differential gene expression analysis, etc.
Applications
- The service applies to the discovery of new obesity-related genes and genetic variants. By parsing their functions and mechanisms of action, it supports the study of obesity mechanisms and the development of good interventions.
- The service is used to explore the role of different genetic backgrounds in obesity heterogeneity and to assess the genetic risk of developing obesity or specific obesity subtypes in the future.
- The service is used to analyze the impact of genotypic differences on weight loss and to aid in the design of personalized weight loss programs based on genetic information.
Advantages
- We have a deep background in obesity genetics research and a deep understanding of relevant key genes, pathways, and research hotspots.
- We understand the specificity of each project and provide flexible testing protocols and personalized analysis services based on specific research questions.
- We provide professional project consultation, results interpretation, and recommendations for follow-up studies, while data security is strictly guaranteed.
One-stop Anti-obesity Research Support
Publication Data
Technology: Genome-wide DNA methylation
Journal: Frontiers in Genetics
Published: 2022
Results: In this study, researchers conducted a combined genome-wide and epigenome scan and analyzed the interactions between body mass index (BMI), single-nucleotide polymorphisms (SNPs), DNA methylation sites, diet, and lifestyle factors. The subjects were then trained and predicted to be obese using machine learning (ML) algorithms. Ultimately, an integrated machine learning approach to predict obesity using histology and diet data was developed.
Fig. 1 Flowchart of phenotypic prediction data analysis. (Lee, et al., 2022)
Frequently Asked Questions
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What types of samples do you accept?
We process a wide range of biological samples, including blood, various tissue types (adipose tissue, liver, muscle, etc.), cell lines, and more. From sample processing and sequencing to bioinformatics analysis, we take strict quality control measures to ensure data stability and accuracy.
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How long is your service cycle?
The overall service cycle depends on the complexity of the project, the type of samples, and the type of analytical technology selected. A detailed timeline will be provided prior to the start of the project.
Protheragen specializes in unraveling the complex epigenetic mechanisms behind obesity and provides advanced tools, expert analysis, and insightful data interpretation for obesity genetic screening. Please do not hesitate to contact us to discuss your project and start your obesity research journey.
Reference
- Lee, Y.C.; et al. Using machine learning to predict obesity based on genome-wide and epigenome-wide gene-gene and gene-diet interactions. Frontiers in genetics. 2022, 12: 783845. (CC BY 4.0)
All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.