Gene-lifestyle Interaction

The obesity epidemic is largely driven by Western lifestyles, where genetically susceptible people gain more weight than those who are genetically protected. Research shows a significant interaction between obesity-related genetic variants and body mass index (BMI) in sedentary people, which is mitigated by an active lifestyle. However, lifestyle interventions in people at risk for type 2 diabetes did not confirm this obesity-related gene interaction, suggesting that the differences may be due to study design and demographic variables. Identifying genetic susceptibility to obesity could offset genetic risk and provide important insights for public health. Protheragen has established a strong obesity research team to provide unparalleled Obesity Causation Analysis, Obesity Prediction, Obesity Biomarker Identification, Obesity Gene Editing, and other services.

Unlock the Genetic Secrets of Obesity: Candidate Obesity Gene Screening Service

Protheragen uses advanced technologies such as sequencing, bioinformatics analysis, and Drosophila systems to help clients identify and screen genetic factors related to obesity, and carefully examine genes that affect body weight and metabolic processes. This comprehensive approach helps clients pinpoint genetic variants that may cause obesity, providing high-precision and personalized insights to solve obesity problems from genetic roots.

• Bioinformatics-based Obesity Gene Screening Service

  Protheragen uses advanced bioinformatics to meticulously scan and identify genetic variants associated with obesity. This approach not only highlights potential genetic markers but also integrates large-scale genomic data to fully understand the interaction between genes and the environment. This holistic approach helps develop personalized prevention and treatment strategies, allowing individuals to make informed health decisions. Protheragen's pursuit of precision and innovative methods heralds new ideas for fighting obesity through the lens of genetic insights. Our steps are as follows:

  • Clean and preprocess raw data.
  • Align reads to a reference genome.
  • Perform variant calling to identify genetic variants.
  • Annotate and analyze variants for their functional significance.
  • Conduct pathway and network analyses to understand the genetic underpinnings of obesity.

• Transcriptome Sequencing-based Obesity Gene Screening Service

  We use advanced transcriptome sequencing technology, which goes beyond traditional gene analysis to provide a comprehensive overview of gene expression patterns associated with obesity. The unique perspective provided by this method is its ability to capture dynamic changes in gene activity, allowing researchers and healthcare professionals to identify key regulatory genes and pathways that lead to obesity. This makes it possible to develop targeted intervention strategies and personalized treatment plans. Our steps are as follows:

  • Extract DNA/RNA from biological samples.
  • Prepare sequencing libraries.
  • Sequence the libraries using transcriptome sequencing platforms.
  • Generate raw sequencing data.

• Drosophila Systematic Functional Screening Service

  We take advantage of the genetic simplicity and similarity of the Drosophila genome to humans to comprehensively and systematically assess obesity-related gene function. We silence or knock out target genes by RNA interference or gene editing to observe phenotypic changes associated with obesity traits. This approach ensures a precise and scalable method to elucidate the genetic basis of obesity, with the potential to discover new therapeutic targets that may have been overlooked in mammalian models. We follow these steps:

  • Select candidate obesity-related genes identified from sequencing and bioinformatics.
  • Perform genetic manipulation in Drosophila to knock down or overexpress targeted genes.
  • Observe and document phenotypic changes related to obesity.
  • Validate the functional role of genes in obesity through repeated experiments.

Workflow

Anti-Obesity Therapy Development

Preclinical Studies of Anti-Obesity Therapeutics

Our team of experts conducts comprehensive preclinical studies, including in vivo and in vitro experiments, to evaluate safety, pharmacokinetics, and pharmacodynamics. By providing detailed insights and data-driven analyses, we empower clients to make informed decisions in advancing their anti-obesity therapies from concept to clinical development.

Applications

• Obesity research: Using tools such as gene sequencing and bioinformatics to identify new genetic markers of obesity predisposition, enhancing our understanding of the genetic basis of this complex disease.
• Drug development: Innovatively targeting and regulating specific obesity-related genes, paving the way for new treatments and drug development to mitigate obesity and its related health risks.
• Nutritional genomics: Studying the intricate interactions between genes and dietary factors, developing personalized nutrition plans, and improving obesity management and prevention strategies.

Advantages

• We conduct a thorough investigation of the genetic factors that contribute to obesity by integrating various methods (e.g., sequencing, bioinformatics). This multifaceted strategy ensures that no potential genetic markers are overlooked, providing a detailed genetic map.
• We use state-of-the-art sequencing technologies along with sophisticated bioinformatics tools to identify obesity-related genes with high precision. This precision ensures that the identified genetic variants are both reliable and actionable, paving the way for the development of effective therapeutic strategies.
• We provide robust in vivo validation of the identified gene functions using the Drosophila model system. This service enables researchers to observe the physiological effects of genetic manipulation in organisms, providing key functional insights and helping to translate genetic discoveries into practical applications.

Publication Data

Frequently Asked Questions

Why use Drosophila for functional screening?

Drosophila is a powerful model organism that is widely used for functional screening due to its many scientific advantages. The genetic composition of Drosophila is relatively simple, with a considerable degree of homology to human genes. The short life cycle and high reproductive rate of Drosophila allow for rapid observation of the effects of genetic manipulation. In addition, sophisticated genetic tools and techniques are used to precisely edit, silence, and overexpress genes in Drosophila, allowing for the dissection of pathways and interactions at a granular level. By utilizing Drosophila for functional screening, researchers are gaining valuable insights into gene function, interactions, and the underlying biological processes that lead to obesity, ultimately deepening our understanding and paving the way for targeted therapeutic interventions.

How is the privacy of my genetic information ensured?

The privacy of your genetic information is of paramount importance and is protected through multiple layers of strict data security protocols. All our genetic data is anonymized to remove any personally identifiable information to protect individual identities. Secure encryption methods are used during data transmission and storage to prevent unauthorized access and disclosure. In addition, access to genetic data is strictly controlled and limited to authorized personnel.

Protheragen uses cutting-edge sequencing technology, advanced bioinformatics, and innovative Drosophila functional screening to revolutionize comprehensive solutions for obesity-related gene research. We combine in-depth genomic analysis with functional validation to provide a holistic view of the genetic basis of obesity. Please feel free to contact us to let us know your obesity gene research needs and let us help you advance scientific discovery and innovative development with unparalleled accuracy and reliability.

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