Genomics and biomarker analysis can be incorporated as early as discovery to support target validation, candidate selection, and early pharmacology studies. As a program advances, these approaches can also help characterize drug response, inform dose strategy, and identify biomarkers that may support translational and clinical development.
LAB SERVICES
Pharmacogenomics & Biomarker Analysis
Translating genomic data into actionable insights for drug discovery, target validation, and precision medicine.
The Role of Pharmacogenomics in Drug Development
Genomics and molecular biology play a crucial role in understanding disease mechanisms, predicting drug response, and optimizing therapeutic strategies. Pharmacokinetics (PK) can utilize these techniques when studying how genetic variations, such as gene mutations and polymorphisms, affect an individual’s response to drugs including how they are absorbed, distributed, metabolized, and eliminated (ADME).
These differences can impact enzyme activity, drug transporter function, and susceptibility to side effects, ultimately influencing dosing, efficacy, and safety. From early-stage discovery to clinical development, genomic analysis enables researchers to uncover molecular drivers, identify patient subgroups, and develop targeted treatments.
Genomics & Biomarker Analysis at Xyzagen
At Xyzagen, we offer a comprehensive suite of genomic and molecular biology services to accelerate drug development and precision medicine research. Our services are designed to support a range of applications including target identification, pharmacogenomics, and companion diagnostics.
With expertise spanning everything from initial DNA/RNA extraction and qPCR to final sample analysis and bioinformatics, our team helps uncover genetic and molecular signals that drive disease and influence drug efficacy. We tailor each study to your development stage and scientific goals, ensuring high-quality data and interpretation.
Core Capabilities
Xyzagen’s genomics laboratory provides end-to-end support for discovery-phase genomic and molecular biology studies. From sample processing to data analysis, our team applies advanced tools in DNA/RNA preparation, molecular assays, and bioinformatics to help uncover genetic and molecular signals that drive disease and inform early drug development decisions.
DNA/RNA Based Procedures
This is often the first step in pharmacogenomic analysis. Samples can be obtained from cells or whole tissue. Purified products can be used for gene expression analysis or sent for sequencing.
- Extraction
- Purification
Molecular Assays
We provide expertise in the development, optimization, and validation of complex molecular assays using RT-qPCR. We collaborate with your team to ensure your project is a success.
- Custom PCR Primer Design
- Custom Real-Time qPCR Amplification
- Target Gene Expression Analysis
- Preclinical Biodistribution
Bioinformatic Analysis
Analysis of raw genomic sequence data using analytical software tools and standard file formats. Our customized bioinformatics services are tailored to meet the needs of the client, but generally include:
- Data Quality Control (QC)
- Reference Genome Alignment
- Genome Annotation
- Variation Annotation
Immunoassays
Vital for the detection and quantification of specific proteins, antigens, or antibodies in a sample, our immunoassays offer rapid and reliable results that can be customized to fit your needs.
- Western Blot
- ELISA
Discovery Genomics for Translational Biomarker Studies
Researchers frequently combine discovery genomics with bioanalysis to validate biomarkers during early translational research. Discovery genomics can help identify and validate biomarkers that provide insight into drug response, disease biology, and pharmacologic activity during early translational studies. By evaluating gene expression and other molecular changes alongside bioanalytical and pharmacokinetic data, researchers can better understand whether observed drug exposure is translating into the intended biological response.
Xyzagen provides flexible, fit-for-purpose discovery genomics and biomarker support, including RT-qPCR assay development, gene expression analysis, biomarker quantification, and molecular assay optimization. These capabilities can be integrated with bioanalysis, in vivo PK, and PK/PD analysis to connect drug exposure with molecular and pharmacodynamic endpoints.
This integrated approach allows biotech companies to use complementary genomic, biomarker, and PK data to support target validation, candidate selection, dose strategy, and other early development decisions.
How Genetics Influence Drug Response
Genetic differences in enzymes, such as cytochrome P450s, can influence how quickly or slowly a drug is metabolized—affecting both its effectiveness and risk of toxicity. Some individuals may require higher doses to achieve therapeutic effects, while others may be at risk of adverse reactions at standard doses.
A person’s genetic makeup may predispose them to certain side effects or influence how well a therapy works. Pharmacogenomics allows drug therapy to be tailored to a person’s genetic profile—improving efficacy, reducing adverse reactions, and supporting more precise, personalized medicine.
Why Choose Xyzagen for Genomics & Biomarker Analysis?
Xyzagen provides flexible, fit-for-purpose solutions that integrate seamlessly into your discovery or development pipeline. Our team partners with you to deliver:
Custom study designs aligned with your program objectives
Expert support in assay development, data interpretation, and bioinformatics
Integrated insights from genomics, PK, and biomarker data
Fast turnaround and rigorous quality controls
Frequently Asked Questions
Can one CRO provide both bioanalysis and discovery genomics?
Yes. Xyzagen provides integrated laboratory support that combines bioanalysis, biomarker testing, and discovery genomics—including qPCR and gene expression analysis—with pharmacokinetic expertise. This allows sponsors to evaluate drug exposure alongside molecular and biomarker responses with support from a single scientific partner.
How can qPCR and gene expression analysis support biomarker validation?
qPCR and gene expression analysis can measure changes in specific molecular targets associated with disease biology or drug response. During early translational studies, these data can help validate potential biomarkers, assess pharmacodynamic effects, and provide insight into whether a therapeutic candidate is producing the intended biological response.
Contact Us
From hypothesis generation to clinical validation, our genomics lab helps turn data into direction. Contact us to learn how our genomics and biomarker services can support your next discovery or development milestone.
