Veterinary & Animal Science

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About Veterinary & Animal Science

Omics sciences such as metabolomics, lipidomics, and proteomics are transforming veterinary medicine and animal science, offering innovative approaches to improve animal health, nutrition, disease prevention, and productivity. These disciplines are driving innovations in animal health, nutrition, and production efficiency, leading to better disease management, improved food safety, and enhanced well-being for both livestock and companion animals.

Lipidomics

Lipid metabolism in animal health:
Investigation of lipid profiles related to metabolic disorders, obesity, and inflammatory conditions in animals.

Nutritional lipidomics:
Optimization of fatty acid intake in animal feed for improved productivity, fertility, and immune function.

Milk and meat quality enhancement:
Study of lipid composition in dairy and meat products to ensure nutritional value and quality.

Disease biomarker discovery:
Identification of lipid-based biomarkers for infectious and metabolic diseases.

Impact of environmental factors on lipid metabolism:
Analysis of how diet, climate, and housing conditions influence lipid homeostasis in animals.

Metabolomics

Animal health and disease diagnostics:
Identification of metabolic biomarkers for early disease detection and monitoring in livestock and companion animals.

Veterinary pharmacology and drug response:
Understanding how drugs influence metabolic pathways to improve treatment efficacy and safety.

Nutrition optimization:
Analysis of metabolic profiles to formulate balanced diets for improved growth, reproduction, and immunity.

Food safety and residue monitoring:
Detection of drug residues, toxins, and contaminants in animal-derived food products.

Stress and welfare assessment
Identification of metabolic: markers to assess animal well-being and adapt management practices accordingly.

Proteomics

Infectious disease research and vaccine development:
Identification of pathogen-related proteins for improved vaccine design and disease control strategies.

Protein biomarkers for health monitoring:
Detection of disease-specific proteins to enable early diagnosis and treatment.

Nutritional proteomics:
Analysis of dietary protein digestion, absorption, and utilization to optimize animal feed.

Meat and milk proteomics:
Evaluation of protein composition in animal products to ensure quality, authenticity, and safety.

Understanding genetic and breed differences:
Study of proteomic variations among breeds to enhance selective breeding programs and productivity.

SERVICES

Our Veterinary & Animal Science Services

At oloBion, we provide cutting-edge omics services designed to empower researchers in the Veterinary & Animal Science industry. With our state-of-the-art technology and the expertise of our team, we help you unlock the full potential of your analytes, driving discovery, innovation, and impactful solutions. Our portfolio includes both Untargeted and Targeted OMICS services, as well as ADME-DMPK assays, all tailored to meet the specific needs of your research.

Lipidomics Compound Screening

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of lipids by LC-MS/MS.The Identification includes a list with superclass, class, lipid name, and InChIKey.

Fatty Acids Profile LC-MS

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of short chain fatty acids by LC-MS/MS. The indentification includes a list with superclass, class, lipid name, and InChIKey.

Lipidomics Profile LC-MS + Oxylipins

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of lipids by LC-MS/MS, including oxylipins. The Identification includes a list with superclass, class, lipid name, and InChIKey.

Lipidomics Profile LC-MS

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of lipids by LC-MS/MS.The Identification includes a list with superclass, class, lipid name, and InChIKey.

PharmacoLipidomics

Is an emerging discipline that combines lipidomic analysis with pharmacology to better understand the interaction between drugs and the body’s lipid profiles. Its integration complements ADME-Tox and pharmacometabolomics studies, enabling a deeper characterization of compound bioavailability, metabolism, and toxicity.

Selection of Lipid Profiles and Biomarkers:

Identify key lipid classes:
- Phospholipids (influence transport and bioavailability)
- Sphingolipids (associated with apoptosis and toxicity)
- Fatty acids and triglycerides (impact on hepatic and renal metabolism)
- Bioactive lipids (eicosanoids, endocannabinoids).
Determine relevant lipid biomarkers in pharmacokinetics and toxicity.

Panel: Fatty Acids LC-MS

Targeted lipidomics analysis for the quantification of total fatty acids (FW) (g/100g)

Custom LC-MS

Technique: LC-MS/MS
Target Lipidomics analysis for the identification of specific lipid(s) according to customer requirements

Metabolomics Exposome Profile LC-MS

Technique: LC-MS/MS
Untargeted metabolomics analysis for the comprehensive profiling of exposome-related compounds, from environmental contaminants and xenobiotics to drugs and lifestyle markers, by LC-MS/MS. Identification output includes a tabulated list of each feature’s chemical superclass, class, compound name and InChIKey.

Metabolomics Compound Screening

Technique: LC-MS/MS
Untargeted metabolomics analysis for the identification of metabolites by LC-MS/MS. The Identification includes a list with superclass, class, metabolite name, and InChIKey.

Metabolomics Profile LC-MS

Technique: LC-MS/MS
Untargeted metabolomics analysis for the identification of metabolites by LC-MS/MS. The Identification includes a list with superclass, class, metabolite name, and InChIKey.

Metabolomics Profile GC-MS

Technique: GC-MS/MS
Untargeted metabolomics analysis for the identification of volatiles and metabolites by GC-MS/MS.The Identification includes a list with superclass, class, metabolite name, and InChIKey.

Metabolomics Volatiles GC-MS

Technique: GC-MS/MS
Untargeted metabolomics analysis for the identification of volatiles by GC-MS/MS. The Identification includes a list with superclass, class, metabolite name, and InChIKey.

PharmacoMetabolomics

Is a key discipline in translational pharmacology, as it allows the analysis of drug impact on metabolism and helps understand variations in therapeutic response. Its integration enhances ADME-Tox studies and enables a more precise characterization of compound bioavailability, efficacy, and toxicity.

Selection of relevant Metabolites and Biomarkers

Identify key metabolic classes:
- Amino acids (biomarkers of energy and protein metabolism)
- Organic acids (involved in key metabolic pathways such as the Krebs cycle)
- Lipid metabolites (involved in inflammation and cell signaling)
Identify pharmacometabolomic biomarkers associated with toxicity, bioavailability, and therapeutic efficacy.

Panel: NAD LC-MS

Technique: LC-MS/MS
Metabolomics analysis for the identification and quantification of NAD-related metabolites: 1MNA 1-methylnicotinamide, 2PY N-methyl-2-pyridone-5-carboxamide, 3HAA 3-hydroxyanthranilic acid, 3HK 3-hydroxykynurenine, 4PA 4-pyridoxic acid/4PY N-methyl-4-pyridone-5-carboxamide, AA Anthranilic acid, CR Creatinine, KA kynurenic acid, KYN L-kynurenine, NA Nicotinic acid, NAAD Nicotinic acid adenine dinucleotide, NAD+Oxidized nicotinamide adenine dinucleotide, NADH Reduced nicotinamide adenine dinucleotide, NADP+ Oxidized nicotinamide adenine dinucleotide phosphate, NAM Nicotinamide, NAMN Nicotinic acid mononucleotide, NAMPT Nicotinamide phosphoribosyltransferase, NAR Nicotinic acid riboside, NR Nicotinamide riboside, PL Pyridoxal, PLP Pyridoxal 5′ -phosphate, PM Pyridoxamine, PN Pyridoxine, QA Quinolinic acid, TRP Tryptophan, XA Xanthurenic acid

Panel: Aminoacids LC-MS

Technique: LC-MS/MS

Metabolomics analysis for the identification and quantification of amino acids: L-Alanine, L-Arginine, L-Aspartic acid, L-Cystine, L-Glutamic acid, Glycine, L-Histidine, L-Isoleucine, L-Leucine, L-Lysine, L-Methionine, L-Phenylalanine, L-Proline, L-Serine, L-Threonine, L-Tyrosine, L-Valine, L-Tryptophan

Panel: Organic Acids LC-MS

Technique: LC-MS/MS

Metabolomics analysis for the identification and quantification of organic acids: Acetic acid, Adipic acid, L-Ascorbic acid, Benzoic acid, Butyric acid, Citric acid, Isobutyric acid, Formic acid, Fumaric acid, L-(+)-Lactic acid, DL-Isocitric acid trisodium salt hydrate, Maleic acid, Malonic acid, D-(+)-Malic acid, Oxalic acid, Phytic acid, Propionic acid, (-)Quinic acid, Succinic acid, Shikimic acid, D-(−)-Tartaric acid

Custom LC-MS

Technique: LC-MS/MS
Target Metabolomics analysis for the identification of specific metabolites(s) according to customer requirements

Proteomics Profile in Plasma LC-MS

Technique: LC-MS/MS
NextGen proteomics analysis by LC-MS/MS for the identification of proteins in plasma. The identification includes the family and name of the protein.

Proteomics Profile in Stool LC-MS

Technique: LC-MS/MS
NextGen proteomics analysis by LC-MS/MS for the identification of proteins in stool. The identification includes the family and name of the protein.

Proteomics Profile LC-MS

Technique: LC-MS/MS
NextGen proteomics analysis by LC-MS/MS for the identification of proteins. The identification includes the family and name of the protein.

PharmacoProteomics

Is an emerging discipline that studies the interaction of drugs with the proteome, enabling a better understanding of mechanisms of action, resistance, and treatment toxicity. Its integration complements ADME-Tox and pharmacometabolomics studies, providing key information for the optimization of personalized therapies.

Selection of Proteins and Biomarkers

Identify key proteins involved in:
- Drug metabolism and transport (cytochrome P450 enzymes, membrane transporters)
- Mechanisms of drug resistance
- Immune response and drug-induced toxicity
Determine proteomic biomarkers to assess therapeutic efficacy and toxicity

Custom LC-MS

Technique: LC-MS/MS
Target Proteomics analysis for the identification of specific protein(s) according to customer requirements

PharmacoProteomics

Selection of Proteins and Biomarkers

Identify key proteins involved in:
- Drug metabolism and transport (cytochrome P450 enzymes, membrane transporters)
- Mechanisms of drug resistance
- Immune response and drug-induced toxicity
Determine proteomic biomarkers to assess therapeutic efficacy and toxicity

PharmacoLipidomics

Selection of Lipid Profiles and Biomarkers:

Identify key lipid classes:
- Phospholipids (influence transport and bioavailability)
- Sphingolipids (associated with apoptosis and toxicity)
- Fatty acids and triglycerides (impact on hepatic and renal metabolism)
- Bioactive lipids (eicosanoids, endocannabinoids).
Determine relevant lipid biomarkers in pharmacokinetics and toxicity.

PharmacoMetabolomics

Selection of relevant Metabolites and Biomarkers

Identify key metabolic classes:
- Amino acids (biomarkers of energy and protein metabolism)
- Organic acids (involved in key metabolic pathways such as the Krebs cycle)
- Lipid metabolites (involved in inflammation and cell signaling)
Identify pharmacometabolomic biomarkers associated with toxicity, bioavailability, and therapeutic efficacy.

Enhance your analysis with:

Standard oloMAP

Statistical analysis and visualization of omics data

Advanced oloMAP

Integrate omics data with clinical, nutritional, or environmental datasets through the Correlation Module

Biological Interpretation Report

Expert interpretation to connect omics data with biological pathways and outcomes

How we work

From Samples to Insights

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Standard Delivery Time:
6 weeks
Fast-track option available

Minimum Sample Amount:
Consult our experts for guidance
on sample requirements

Discount:
Associated with the number of
samples and multi-omics analysis

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Partner with us to explore the power of omics in your field. Our team is ready to guide you through the process and deliver insights tailored to your research or industry needs.

Contact us today to discuss your project or schedule a consultation. Together, we’ll advance innovation through omics!