Multiomics Services

Transcriptomics, Proteomics, Lipidomic, and Metabolomics

At Biogenity, we integrate multiomics to deliver a comprehensive view of biological systems, combining data across epigenetics, transcriptomics, proteomics, lipidomics, and metabolomics to power precision discovery and personalized medicine.

Multiomics is vital for enhancing discovery power searching for diagnostic markers or treatment targets and offers a high resolution into the biological questions, essential development for personalized medicine, and the foundation for research in system biology. No single omics approach can provide a complete picture of the biological processes, systems, and mechanisms found in, e.g., cellular samples. Multiomics studies can combine epigenetics, transcriptomics, proteomics, lipidomic, and metabolomics.

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

Let’s discuss your project

Five omics layers
epigenetics to metabolomics

One report per omics
plus a combined multiomics report

Integrated modeling
diagnostic and prognostic signatures

Guiding you from sample to biology

Our specialists collaborate with you from the very beginning to design an integrated multiomics strategy aligned with your biological question. During an online consultation, we explore your research objectives, sample types, and technological needs to determine the optimal combination of transcriptomics, proteomics, metabolomics, or lipidomics workflows.

Get a project estimate

We deliver tailored project outlines, including multiomics workflow design, integration strategy, timelines, and cost estimates. Book a free consultation to discuss your analytical goals and receive a customized plan for your multiomics study.

Consultation
Sample preparation
Sample analysis
Data analysis
Delivery
Discussion of analysis

Multiomics studies combined in one solution

At Biogenity, we provide end-to-end expertise in preparing samples for multiomics studies, ensuring that each molecular layer, from DNA and RNA to proteins, lipids, and metabolites, is processed with the precision required for integrated downstream analysis. Multiomics requires careful coordination across technologies, and our workflows are designed to preserve sample integrity, minimize variability, and maximize data compatibility across all omics levels.

By coordinating sample handling, extraction strategies, and QC checkpoints across omics disciplines, we deliver a unified multi-layer dataset that provides a holistic overview of the biological systems represented in your samples, giving you the most comprehensive foundation for discovery.

High-performance platforms for multiomics discovery

Biogenity offers a range of high-performance analytical platforms that support both broad discovery studies and precise targeted quantification across multiple omics layers. Depending on your research objectives, we guide you to the optimal combination of proteomics, metabolomics, lipidomics, peptidomics, post-translational modification analysis, or other mass-spectrometry–based omics approaches.

Consistent performance across all omics

Our multiomics framework supports both high-throughput screening and deep, high-resolution studies. Whether you require sensitive detection of low-abundance molecules, extensive pathway coverage, or focused analysis of specific molecular classes, we provide workflows that match the depth and selectivity your study demands. By aligning acquisition strategies and quality standards across omics layers, we ensure your datasets are compatible and ready for integrated, system-level interpretation.

Integrated data analysis for multiomics

Biogenity provides dedicated reports for each omics layer, each following state-of-the-art analytical and bioinformatic workflows. Every report includes statistical analysis, quality assessment, pathway exploration, and molecular interpretation tailored to the specific omics type.

In addition, you receive a combined multiomics report where datasets are integrated into a single bioinformatic framework, allowing you to view cross-omics relationships, shared pathways, and coordinated molecular changes.

We translate complex system-wide data into clear visual summaries, including pathway maps, interaction networks, and multiomics clustering. Our integrated modeling enables the development of diagnostic and prognostic biomarker signatures built from multiple omics layers. To validate the added value of multiomics, we also compare their performance directly against single-omics models generated from the same samples.

Delivery, post-consultation and discussion

At the conclusion of your multiomics 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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Cell Line Proteomics

Cell line proteomics provides highly controlled, low-variance systems that make the effects of stimuli or inhibitors clearly detectable. It also reveals the mechanisms behind vaccine, antibody, enzyme, and other recombinant protein production to improve and optimize output.

Tissue Proteomics

Tissue proteomics captures biological complexity by measuring changes across diverse cell types and compartments, making it powerful for monitoring processes like inflammation. When combined with imaging methods such as immunohistochemistry, it enables investigation of cellular distribution, interactions, and spatial validation of molecular changes.

Laser Microdissection

Laser microdissection isolates specific tissue regions to reduce heterogeneity and variance, improving the detection of biological effects. Because the sample amounts are tiny, specialized proteomic extraction and analysis methods are required.

Extracellular Vesicles

Extracellular vesicles provide a rich window into cell communication, with diverse subtypes (e.g., exosomes, microvesicles, apoptotic bodies) carrying unique molecular signatures. Their feature-rich cargo makes them powerful sources for biomarker discovery and understanding disease-related signaling.

Low Complexity Samples

Low-complexity proteomics methods like immunoprecipitation or gel bands isolate specific proteins or complexes for focused analysis. They are essential for identifying binding partners and supporting discovery in diagnostics and therapy development.

Biological Fluids

Biological fluids like blood, CSF, and urine are key sources for diagnostic and prognostic biomarkers, even though a few abundant proteins dominate most of their composition. With advanced proteomics, deep analyses can now identify up to ~2,000 proteins, enabling rich biological insight.

Secretome

Secretome proteomics reveals how cells communicate and respond by profiling proteins released into the extracellular space. These secreted factors, such as cytokines and growth factors, are highly informative for studying processes like inflammation and tumor development.

Fermentation

Fermentation uses microorganisms or enzymes to convert substrates into valuable products, from cheese and mycelium-based foods to precision-fermented dairy alternatives. Proteomics helps uncover underlying biological mechanisms and informs process parameters to optimize production.