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Transcriptome Sequencing-based Obesity Gene Screening Service

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Importance of Candidate Obesity Gene Screening

Screening candidate obesity genes is critical to uncovering the genetic basis associated with obesity, providing valuable insights into how specific genes and their interactions lead to obesity. Identifying these genes paves the way for personalized medical interventions, targeted treatments, and prevention strategies, ultimately aiming to curb the global obesity epidemic and improve individual health. At Protheragen, our comprehensive genetic screening approach enables researchers to identify new obesity targets and pathways, thereby gaining a deeper understanding of the pathogenic mechanisms of obesity and developing more effective anti-obesity therapies.

Unlock the Genetic Code: Precision in Obesity Management with Transcriptome Sequencing

The causes of obesity are complex and are affected by multiple factors such as genetics, environment, and lifestyle. To better understand the mechanism of obesity, Protheragen analyzes and studies the causes of obesity at the genetic level. Transcriptome sequencing, also known as RNA sequencing, is a high-throughput genomics technology used to analyze gene transcription in cells or tissues under specific conditions. It not only identifies the expression levels of known genes but also discovers new genes and transcripts, giving a genome-wide activity map. Our obesity gene screening services, based on transcriptome sequencing, are as follows:

Sample Collection

The collected blood samples are pre-processed, and serum is prepared by centrifugation and stored at -80°C until analysis.

RNA Extraction and Purification

Total RNA is extracted from the collected samples and purified to ensure the integrity and purity of the RNA. This step is critical because the quality of RNA directly affects the accuracy and reliability of subsequent sequencing.

cDNA Synthesis

The extracted RNA is reverse transcribed into complementary DNA (cDNA) using reverse transcriptase. This process converts unstable RNA molecules into more stable cDNA for subsequent sequencing library construction.

Library Construction and Quality Detection

The synthesized cDNA is fragmented, connected to adapters, and amplified to construct a sequencing library. Afterwards, the library is tested for quality and concentration by a bioanalyzer to ensure efficient and accurate sequencing.

Transcriptome Sequencing

DNA libraries are sequenced using sequencing technology at high throughput, which simultaneously sequences thousands of DNA fragments to generate a huge data set.

Statistical Analysis

The sequencing data are processed and analyzed using advanced bioinformatics tools. It mainly includes steps such as data filtering, gene annotation, and expression calculation to identify differentially expressed genes related to obesity and their regulatory networks, and generate a detailed project report.

Workflow

Obesity-related gene screening using RNA sequencing. (Protheragen)

Applications

  • Identify and verify specific genes related to obesity and understand their role in fat deposition, metabolic regulation, and energy balance.
  • Analyzing gene expression data helps scientists build and understand complex gene regulatory networks and reveal the interactions between genes involved in the development of obesity.
  • Discover potential drug targets through genetic screening, thereby developing more effective drugs for the treatment of obesity and its complications.

Advantages

  • We comprehensively analyze gene expression levels and their differences to accurately identify genes associated with obesity and the corresponding regulatory networks.
  • Advanced transcriptome sequencing and cutting-edge bioinformatics tools are used to ensure efficient and accurate data processing.
  • Our team consists of experienced genetics experts and health management professionals with rich practical experience, providing clients with comprehensive consulting and support services.

Publication Data

DOI: 10.3390/ijms22041989

Journal: International Journal of Molecular Sciences

Published: 2021

IF: 4.9

Results: The authors investigated the correlation between coding and noncoding oncogenes in subcutaneous adipose tissue of obese patients and various cancers in the context of type 2 diabetes. Samples were collected from subcutaneous adipose tissue of five healthy women, five obese women, five obese women with type 2 diabetes, and five obese men and RNA sequencing was performed. The results identified dysregulated coding and noncoding RNAs, determined dysregulated pathways associated with cancer, possible prognostic predictions for different cancer types, and lncRNAs involved in oncogenic networks and tissues.

Fig.1 Transcriptome analysis of SAT in patients with severe obesity. Fig.1 Transcriptome analysis of subcutaneous adipose tissue in patients with severe obesity. (Rey, et al., 2021)

Frequently Asked Questions

  1. How to interpret transcriptome sequencing results?

    Protheragen provides a detailed report, including the identified obesity-related genes, sequencing raw data, result analysis, etc. Clients also obtain an in-depth interpretation of the report through our professional consulting services.

  2. Is cross-species data comparison supported?

    We provide data comparison services between different species to help identify evolutionarily conserved genes and their functions, providing a basis for basic biological research and drug development.

At Protheragen, our transcriptome sequencing-based obesity gene screening service is expanding its application in the scientific community, providing a powerful means to unravel the complex genetic basis of obesity. Please feel free to contact us for more information.

Reference

  1. Rey, F.; et al. Transcriptome analysis of subcutaneous adipose tissue from severely obese patients highlights deregulation profiles in coding and non-coding oncogenes. International Journal of Molecular Sciences. 2021, 22(4): 1989. (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.

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