Biomarker Studies

Discovery, Prioritisation and Verification


At Biogenity, we have deep expertise and experience in all aspects of biomarker discovery, prioritisation, and verification, helping you progress from samples, a hypothesis, or existing data towards robust, reproducible candidates.

From finding molecular signals to identifying robust, reproducible candidates with relevance to your biological question, disease process or intervention, Biogenity supports a wide range of omics, multiomics, targeted assays, and informatics analyses.

If you’d like to learn more, we are happy to discuss your project and help you get the most out of your biomarker study.


Let’s discuss your project


Discovery to verification
untargeted and targeted workflows


Multiomics
proteomics, metabolomics, transcriptomics


Candidate prioritisation
statistics, pathways and integration

Guiding you from sample to biology

At Biogenity, we understand that biomarker research is a sophisticated field that demands precision, expertise, and a tailored approach. Our team of proteomics experts is dedicated to guiding you through every step of your study, ensuring your project not only succeeds but also contributes to your scientific venture.



Get a free consultation

We invite you to an online consultation, during which we can address your questions and offer an expert assessment of how our biomarker strategies can be customized to meet your research goals.


Sample preparation and sample analysis

Untargeted -omics and multiomics

Depending on the needs of your study, Biogenity supports untargeted proteomics to explore broad protein changes, untargeted metabolomics to investigate metabolic responses, and transcriptomics to characterise gene-expression patterns.

When a pathway, mechanism or candidate group is already of interest, hypothesis-driven approaches such as Olink panels, targeted metabolomics or targeted transcriptome analysis can focus the search on relevant biology.

Candidate prioritisation and multiomics integration

Discovery studies can generate hundreds or thousands of signals. The challenge is identifying which are sufficiently reliable and biologically meaningful to justify further work. Robust statistical analysis and bioinformatics help narrow the field and interpret findings in their biological context.

Candidate prioritisation may draw on statistical assessment and quality control, pathway and network analysis, and integration of proteomic, metabolomic and transcriptomic evidence.

Data analysis, including report, figures, and tables

Targeted verification of promising candidates

Once candidates have been prioritised, targeted assays can test whether the observed signals hold true in additional samples. The aim is to build confidence in the candidates and identify which merit more extensive validation for their intended use. Verification can draw on targeted proteomics, targeted metabolomics, qPCR-based transcript assays, Olink panels and other orthogonal approaches.



Clear reporting and a practical next step

Statistical and bioinformatic reporting, data integration and biological interpretation help make complex findings easier to assess, communicate and act on.

Whether you already have data, have candidates to confirm, or have a hypothesis to test, we can help you identify the most useful next step.

Delivery and discussion

Delivery, post-consultation and discussion

At the conclusion of our analysis, we ensure a seamless transition from discovery to application. We deliver detailed reports and data, followed by a post-delivery consultation to discuss your study's insights and findings.


What to expect during post-consultation:

  • Explanation of the different steps in the sample analysis
  • Discussion of the data
  • Explanation of the different steps in the data analysis
  • Q&A to the report(s)

Together, we ensure that you have the best prerequisite for your further research. The consultation can also be used to explore the next step, whether you are looking to expand the project with additional omics studies or validate the results.


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