Author: Stefan Lehneis

Exciting Update: LipidCascade Now Available

We are pleased to announce that LipidCascade is now live and available to members of the International Lipidomics Society (ILS). LipidCascade is a cloud-based platform designed to serve as a central database and visualization tool for quantitative lipidomics data. It is built to support the integration and comparison of datasets across studies, following the latest […]

Future perspectives in mass spectrometry of plant lipids

Abstract Plant lipid research has seen a tremendous progress in the last decades, particularly in the area of lipid analytics by mass spectrometry. This includes the characterization of the different lipid classes involved in the establishment of the membrane bilayer, in carbon storage, and signaling. Advances in mass spectrometry have transformed the landscape of plant […]

New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity

Abstract The rapid and continued development of mass spectrometry–based technologies has significantly increased the capability to study and characterize lipids while providing new insight into the complex roles of lipids throughout biology. These capabilities have included the ability to quantify, structurally characterize (including resolving isomers that pose significant challenges to lipidomics), and spatially map lipids […]

In Memory of Walt Shaw

We note with great sadness the passing of Walt Shaw, founder of Avanti Polar Lipids. Through the development of high-quality lipid standards, Walt Shaw laid the essential foundation that made the establishment of modern lipidomics possible. His vision, support and commitment fundamentally shaped the field and enabled reproducible, quantitative lipid research worldwide.  His legacy will […]

Celebrating the ILS Early Career Award 2025 Winners

We’re incredibly proud to congratulate the remarkable recipients of the ILS Early Career Award 2025. This achievement reflects not just your talent and dedication, but the passion, curiosity, and drive you bring to your work every day.It’s truly an inspiration for all us. We’re celebrating your success with genuine joy and admiration. May this award […]

Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data

Abstract Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and visualize statistically significant trends and biologically relevant differences. Besides tailored methods developed by individual labs, a solid core of freely accessible tools exists for exploratory data analysis and visualization, […]

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