Big Data meets Body Fat – Lipidomics for Better Life
Lipids are important building blocks of life – Lipidomics is the study of lipids in biological systems. They have many different biological functions. Their main function is to form the matrix of our cell membranes where they support a variety of functions essential for life. But lipids also store energy, they serve as hormones and signalling molecules. Lipid is a generic name for different lipid classes, comprising thousands of different lipid molecules. Each lipid is chemically different and thus equipped with different functional properties.
Why are lipids important?
Recent studies have demonstrated that lipids are not only involved in cardiovascular disease (cholesterol!) and obesity, but they also play an important role in Alzheimer’s disease, asthma, diabetes, and hypertension. To identify the lipid molecules concerned – the culprits – is the task of lipidomics. Like sequencing DNA in genomics, lipidomics has developed technology to analyse the lipid composition in cells and body fluids.
Lipidomics is not only interesting for basic research and clinical diagnostics. It can also be used to develop functional food and nutraceuticals or to test cosmetic products dermatologically. However, until now lipidomics was time-consuming, work-intensive or not detailed enough to do a good job.
We live in exciting times. Technological progress now makes it possible for the first time to analyse lipids with unprecedented precision. Based on many years of research by the laboratories of professor Kai Simons and Dr Andrej Shevchenko, Lipotype was founded and shotgun mass spectrometry was developed to analyse hundreds of lipids in only a few minutes with absolute quantification.
This effective routine of shotgun lipidomics became possible by introducing a unique workflow that combined improved extraction protocols with cutting edge mass spectrometry and proprietary software. Our interdisciplinary team has experts in biology, chemistry, robotics and informatics, all trained at the Max Planck Institute in Dresden with several years of lipid experience and this is unique world-wide!
The new quality of shotgun lipidomics will make it possible to identify clinically relevant biomarkers on a scale that is unprecedented. This will be the basis for novel optimized products in different areas, including multi-parameter diagnostics, drug development, nutrition, cosmetics or industrial biotechnology.
Their services will provide unrivalled tools for clients to develop products with a significant competitive edge.
Lipidomics is the large-scale study of lipids in biological systems. The analysis of large datasets, potentially containing up to thousands of lipidomes, is a challenging endeavour. Lipotype have established multiparametric statistical approaches, tailored to quantify lipid data. These methods are geared to identify lipid biomarkers.
In this white paper a cohort of healthy subjects is compared with a cohort of diseased persons to identify lipid signatures that discriminate health from disease. Such signatures could potentially be useful for disease stratification or for diagnosis by means of predictive modelling (machine learning). In this white paper, they will guide you through the data analysis process aiming at the identification of lipid biomarkers and the evaluations of their performance.
Want to learn more about Big Data Lipidomics:
White Paper guides you through the data analysis process aiming at the identification of lipid biomarkers and the evaluations of their performance. It includes:
A description of the data analysis process and the statistical methods used: e.g. principal component analysis, statistical tests, correlation analysis and enrichment analysis including pathway analysis. We also show-case how we work with predictive modelling (or machine learning).
How algorithms and a full set of methods are tailored to quantitative lipid data. Applications of big datasets in lipidomics such as for biomarker identification in clinical research and clinical diagnostics, in drug discovery for mode-of-action studies as well as for food and cosmetics applications.
Application for Big Data Lipidomics
Lipid biomarker identification and validation (pharmacodynamic, pharmacokinetic, CDx) for biotech and pharma industry as well as (pre-)clinical research. Lipid biomarker identification and validation for clinical diagnostics (prognostic, diagnostic, patient stratification). Identification of novel, lipid-related therapeutic targets and mode-of-action studies in drug discovery phases. Intervention studies for development of functional food/nutraceuticals. Cosmetic claim support for (active) ingredients for cosmetic industry
Lipotype is a spin-off company from the Kai Simons and Andrej Shevchenko labs of the world-renowned Max-Planck-Institute of Molecular Cell Biology and Genetics in Dresden, Germany. Drawing on many years of cutting edge research experience, Lipotype delivers comprehensive, absolutely quantitative lipid analysis services for clinical and biological samples on a high-throughput scale.
Lipotype offers high quality lipid analysis services for a wide range of customers and applications including biomarker identification for clinical researchers, pharma and biotech companies, functional food development for the food industry, claim support for the cosmetics industry, as well as for the small-scale profiling needs of academic researchers.
Lipotype is a spin-off company from the laboratories of Prof. Dr. Kai Simons and Dr. Andrej Shevchenko of the Max-Planck-Institute of Molecular Cell Biology and Genetics in Dresden, Germany. Our team is composed of experts in membrane and lipid biology/chemistry, mass spectrometry, and bioinformatics. Our experience is based on years of academic research focusing primarily on the role of lipids in various cellular processes and on methodological/ technical aspects of lipidomics. Lipotype was founded in 2012.
Lipotype and its trusted services
Lipotype offers unique lipid analysis services from organelles, microorganisms, cultured cells to tissues and organs. The advantages are such as broad coverage of lipids (>2300 absolutely quantified lipids), little sample amount (e.g. 60.000 cells), two weeks delivery time of results, comprehensive statistical analysis and graphical presentation of data.
Lipotype Shotgun Lipidomics platform provides a broad coverage of membrane lipids, but also of storage lipids. Our analysis routinely covers 30 different lipid classes (e.g. TAG or PC) on the level of lipid species (e.g. TAG 54:0) or subspecies (e.g. PC 18:0/16:0, including the fatty acid information) – in total more than 2300 individual lipids. Moreover our platform allows for the analysis of various sample types – from organelles, microorganisms, cultured cells and blood plasma to tissues and organs: muscles, liver, brain, and many others.
Lipotype uses Shotgun Lipidomics Technology, without time consuming chromatographic separation of lipids before analysis. We utilize the advantages of cutting-edge mass spectrometry, combined with automated sample extraction, processing and data analysis. In this way our exquisitely standardized platform allows the complete analysis of 200 plasma samples per day, offering unprecedented delivery time (weeks, instead of months) for complete results and associated reports.
The quantification is achieved using lipid class-specific internal standards allowing unbiased and direct quantitation of individual lipids directly from their mass spectra intensities. Therefore, we deliver results expressed in absolute and not in relative values, which provides the basis for a direct comparison of different samples and experiments.
Lipotype’s Shotgun Lipidomics Technology is highly robust and reproducible1. This performance is ensured by a rigorous quality control system. The high standards of Lipotype operations are based on years of research experience on the role of lipids in cellular processes and on the development of lipidomics technology according to industry requirements.
Lipotype uses proprietary software for lipid identification: LipotypeXplorer. With the molecular fragmentation query language it identifies lipids with high precision and without bias. LipotypeXplorer does not rely on predefined databases, which have to be curated and maintained and which might not be complete.