Biogenity

Biogenity's vision is to advance omics research. Our mission is to empower researchers, like you, with our expertise in omics to answer your research questions.

[Biogenity @biogenity]

🌍 Discovery #proteomics is not one single workflow. Depth of coverage, acquisition strategy, and sample type all matter.

💬 Let’s discuss which discovery-based proteomics approach fits your research question.

🔗 https://t.co/0lusPtJGUO

[Biogenity @biogenity]

A phosphoproteomics study in Frontiers (2023) showed how Neisseria meningitidis reshapes host signaling at the blood–CSF barrier, with a stronger effect from the capsule-deficient strain.

Biogenity contributed data analysis.

🔗 https://t.co/InF0e4lSki

[Biogenity @biogenity]

Studying #metabolic pathways often requires more than concentration measurements. Method development with isotope tracing enables precise analysis of metabolic dynamics and flux. Let’s discuss tailored metabolomics strategies for your study.

https://t.co/qxqvrlQx7h

[Biogenity @biogenity]

Last week, we said goodbye to our intern Mathilde. Her work centred on our R&D efforts within multi-omics integration. What stood out was not just the work itself, but how she did it. Independent, solution-oriented, and a genuine contributor to the team.

[Biogenity @biogenity]

Planning a large cohort or longitudinal study? Reproducibility across samples, runs, and batches is critical. #Olink proteomics is designed for robustness at scale. Let’s discuss workflow design for your study.

🔗 https://t.co/K74x5WMEs8

[Biogenity @biogenity]

In this @Nature study, supported by Biogenity, researchers uncovered how an autoactive mutation in the nuclear calcium channel CNGC15 enhances root endosymbiosis in both legumes and wheat, improving nutrient acquisition even under field conditions.

🔗 https://t.co/P2u27xfmIl

[Biogenity @biogenity]

⚡️ Amino acids and energy #metabolites reflect how cells use nutrients and generate energy.
Quantifying these pathways provides a direct view of metabolic state and mitochondrial function.

💬 Let’s discuss whether this analysis fits your study.

https://t.co/HfiJdLPAK0

[Biogenity @biogenity]

Pre-analytical variation can significantly affect proteomic results. Standardized sample handling is essential for reliable #Olink data. Let’s discuss sample preparation strategies and logistics for your study.

🔗 https://t.co/kt1dSZBTE9

[Biogenity @biogenity]

🍊 Vitamins and cofactors are sensitive to light, oxidation, and temperature. Careful sample handling and targeted MS methods are essential for reliable quantification. Let’s discuss the analytical strategy for your study.

https://t.co/wPAnwwluCT

[Biogenity @biogenity]

🔬 Peptides can act as biomarkers, epitopes, or bioactive fragments. #Peptidomics adds peptide-level resolution to biomarker and immune-related studies.

💬 Let’s discuss how it could complement your proteomics approach.

🔗 https://t.co/qlmnXoLqJh

[Biogenity @biogenity]

4️⃣ Can you run multi-omics or advise on cost efficiency?
💬 A question we often get at Biogenity

Yes. We help decide when single-omics is enough — and when multi-omics adds real value — while optimizing batch size, multiplexing, and assay choice.

[Biogenity @biogenity]

🧬 Clinical proteomics links protein profiles to disease state, prognosis, and treatment response. Protein-level data across patient samples support biomarker discovery and patient stratification.

💬 Let’s discuss whether this approach fits your study.

https://t.co/DX1I2kucZL

[Biogenity @biogenity]

Not sure whether a targeted or exploratory #Olink panel fits your biological question? Panel choice has a major impact on interpretability. Let’s discuss panel strategy and study alignment for your project.

🔗 https://t.co/kt1dSZBTE9

[Biogenity @biogenity]

Lipid metabolites are sensitive to handling and extraction conditions. Robust lipidomics requires workflows adapted to specific lipid classes. Let’s discuss analytical strategy and panel selection for your lipid metabolism study.

https://t.co/Rmq26my5Yq

[Biogenity @biogenity]

In this paper, the research team presents a step-by-step workflow combining single-cell RNA-seq with LC-MS/MS-based proteomics to identify candidate noise-regulatory proteins.

Biogenity provided the LC-MS/MS-based services and downstream analysis.

🔗 https://t.co/60Q4LjWy8v

[Biogenity @biogenity]

🦠 Microbial #metabolites are key mediators of host-microbiome interaction. Targeted analysis of SCFAs, bile acids, and aromatic compounds provides functional insight beyond taxonomy.

Let’s discuss microbiome metabolomics for your study.

https://t.co/35T87PvmKo

[Biogenity @biogenity]

Concerned about assay specificity in biomarker research? #Olink’s PEA technology uses dual antibody recognition to reduce cross-reactivity. Let’s discuss whether this approach fits your protein analysis needs.

🔗 https://t.co/K74x5WMEs8

[Biogenity @biogenity]

💊 Early drug development benefits from understanding protein turnover, not just abundance. #Proteome dynamics profiling supports early verification of drug candidates through detailed proteomic readouts.

💬 Let’s discuss your study.

🔗 https://t.co/2CgGk6BXvg

[Biogenity @biogenity]

3️⃣ Do I need to know exactly what I want?
💬 A question we often get at Biogenity

Not necessarily. A good starting question is enough. Early dialogue helps refine workflows and avoid limitations before samples are prepared, when changes are still easy to make.

[Biogenity @biogenity]

🍎 #Vitamins and cofactors regulate key metabolic pathways through enzyme activity and redox control. Quantitative analysis provides insight into metabolic regulation beyond end-point readouts.

Let’s discuss whether this fits your study.

https://t.co/BcdoiKKZ3q