Tag Whitepaper

New White Paper “Unlocking the Power of Multiomics”

Multiomics approaches harness synergies and eliminate shortcomings to effectively deliver what one omics science alone cannot achieve. Lipotype’s new white paper “Unlocking the Power of Multiomics” highlights why combining genomics with lipidomics makes for a great omics pair.


Genomics for genes, lipidomics for lipids
Being major players in cardiovascular disease research, genomics and lipidomics are perfectly suited for a joint multiomics approach. It matches the capacity to identify genetic predestinations with one or multiple snapshots of the lipid metabolic status.

Linking genotype with phenotype will be critical when it comes to clinical diagnostics and to the goal of identifying the onsets of a disease.


From genotype to phenotype: interconnected disease risk factors
In this study, a large number of SNPs (single-nucleotide polymorphisms) from genomes was drawn. They were then correlated with corresponding lipid species levels from human blood plasma. The blood plasma has been analyzed with Lipotype Shotgun Lipidomics technology. The most important findings are the following.

First, the heritability of lipid species levels was quantified from the SNP correlations. Second, genetic predispositions influencing lipid species levels provide useful information for cardiovascular disease risk predictions. And third, lipidomics yields greater statistical power to identify SNPs with direct roles in lipid metabolism. Lipidomics outperforms traditional lipid panel measures used in clinical routine.


Resources

Lipotype White Paper: Unlocking the Power of Multiomics

Press release: Unlocking the Power of Multiomics – Lipotype releases new Multiomics White Paper


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Skin lipidomics: a tool for understanding skin aging at the molecular level

Lipotype published in SOFW Journal about skin lipidomics to better understand skin aging

The lipid composition of human skin is essential for its function; however the simultaneous quantification of a wide range of skin lipids, belonging to both stratum corneum and sebum, is not trivial. Recently we developed a new, “shotgun” mass spectrometry-based method characterized by a broad coverage of lipids, absolute quantitation, high reproducibility and high-throughput providing comprehensive insight into skin lipid composition [1].

We applied this method in a large-scale study of natural lipid variability of human skin. In this study we analyzed samples from 104 individuals of both sexes of different ages. We discovered gradual changes in the skin lipidome correlated with age but no sex-specific differences. Our novel method enables detailed and broad insights into skin lipidomes, both in terms of lipidome coverage and sample number. Therefore, skin shotgun lipidomics has the potential to become useful in studies related to skin aging and anti-aging product claims support.

Read more: 
Click her to read the full article in SOFW Journal


Learn more about Lipotype Skin Lipidomics
 Download our White Paper

[1] Large-scale human skin lipidomics by quantitative, high-throughput shotgun mass spectrometry – Scientific Reports, 2017
Tomasz Sadowski, Christian Klose, Mathias J. Gerl, Anna Wójcik-MaciejewiczRonny HerzogKai SimonsAdam Reich, Michal A. Surma

Release of White Paper: Big data lipidomics for lipid biomarker identification

Lipidomics is the large-scale investigation of lipids in biological systems. Venturing into the analysis of large dataset, with potential thousands of lipidomes, by advanced multiparametric statistical approaches is a challenging endeavour. We established algorithms and a full set of methods tailored to quantitative lipid data. This allows to perform statistical analysis and enrichment analysis in order to identify lipid biomarkers. In our recently published white paper a cohort of healthy subjects is compared with a cohort of diseased subjects. The result is a lipid signature that discriminates healthy from disease. Those could then potentially be of use for disease stratification or diagnosis by means of predictive modelling (machine learning). In this white paper, we will guide you through the data analysis process for lipid biomarkers.   Read more


Learn more about Big Data Lipidomics and get the White Paper.


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