At Biogenity, we empower large-scale proteomics studies to unravel complex biological systems, drive biomarker and drug discovery, and support high-resolution insights across diverse research applications.
A large-scale study of proteins offers various insights to many research questions. Proteins are a vital part of all organisms, and studying the proteome opens up for investigating and understanding the biological systems or/and reactions. Protein profiling is an essential tool in many important research areas such as biomarker discovery, phenotyping, personalized medicine, and drug discovery. Proteomics is an important part of mapping system biology and can also answer research questions, such as ligand binding or elements in protein complexes. At Biogenity, we are ready to help you with your proteomic study.
If you’d like to learn more, we are happy to discuss your project and help you get the most out of your proteomics analysis.
+10,000 proteins
in deep discovery workflows
Budget-friendly to deep
coverage options for every study
Outliers to diagnostic models
statistics and bioinformatics
Discovery
We use large-scale proteomics to illuminate complex biological systems, enabling discoveries in biomarkers, phenotyping, personalized medicine and molecular interactions.
Key capabilities
Targeted
Targeted proteomics detects peptide targets of already known proteins, with high throughput, accuracy and sensitivity. It is ideal for biomarker monitoring and validation.
Key capabilities
Cohort studies
We support clinical proteomics with deep, cohort-scale analyses that drive biomarker discovery, disease understanding and the development of personalized treatment strategies.
Key capabilities
PTM analysis
We use phosphoproteomics to map dynamic signaling events, revealing active kinases, pathways and regulatory mechanisms central to your biological question.
Key capabilities
Peptide analysis
Peptidomics is ideal for identifying degradation patterns from biological processes, truncation of protein sequences and amino acid changes during translation.
Key capabilities
Ubiquitin code
We apply ubiquitinomics to uncover site-specific ubiquitination events, providing a comprehensive view of regulatory signaling, protein stability and ubiquitin-chain–dependent cellular decisions.
Key capabilities
Low complexity samples
Proteomics on immunoprecipitations, gel bands and other targeted protein extractions, used to identify binding targets of antibodies and the proteins in protein complexes.
Key capabilities
Microbial communities
We use metaproteomics to reveal the functional activity of complex biological systems, identifying and quantifying proteins across mixed microbial communities and host–microbiome samples.
Key capabilities
Two complementary technologies for protein analysis. We help you choose, or combine them.
Mass spectrometry
LC-MS is not dependent on antibodies or aptamers, which allows the analysis of a much wider range of proteins and modifications.
Proximity Extension Assay
Olink uses Proximity Extension Assay (PEA) technology for precise and efficient analysis of selected protein biomarkers.
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 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 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 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 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 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 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 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.
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