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In the plasma membrane, the lipids forming the bilayer can also act as an anchor to tether proteins to the membrane. The three main types of lipid anchors found in eukaryotes are – prenyl groups, fatty acyl groups, and glycosylphosphatidylinositol or GPI groups. Prenyl and fatty acyl groups act as anchors on the cytosolic surface of the membrane, whereas GPI anchors proteins on the extracellular side.
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The microbial conversion of organic matter into biofuels holds potential as a renewable energy source. Among biofuel sources, microalgae are recognized as a highly efficient and adaptable feedstock for biodiesel production, owing to their rapid biomass accumulation, elevated lipid productivity, and capacity to proliferate in diverse aquatic systems, including freshwater, marine, and wastewater habitats. Unlike terrestrial crops, microalgae do not compete for land and can achieve significantly...
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Related Experiment Video

Updated: May 7, 2026

Differential Effects of Lipid-lowering Drugs in Modulating Morphology of Cholesterol Particles
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ALISTER - Application for lipid stability evaluation and research.

Samuel Rischke1, Robert Gurke2, Alexandre Bennett3

  • 1Goethe University Frankfurt, Institute of Clinical Pharmacology, Faculty of Medicine, Theodor Stern-Kai 7, 60590 Frankfurt am Main, Germany.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|March 16, 2024
PubMed
Summary
This summary is machine-generated.

Pre-analytical pitfalls in lipidomics and metabolomics studies can be mitigated with ALISTER, a new web application. This tool aids in making data-driven decisions about blood sample stability for reliable omics research and clinical testing.

Keywords:
BiobankingBlood sample stabilityLipidomicsMetabolomicsPre-analytic sample handling

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Area of Science:

  • Biochemistry
  • Clinical Chemistry
  • Bioanalytics

Background:

  • Pre-analytical sample handling is critical in lipidomics and metabolomics.
  • Poor sample handling leads to unreliable data, wasting time and resources.
  • Standardized guidance is needed for translating omics technologies into clinical practice.

Purpose of the Study:

  • To enable informed decision-making regarding sample stability in lipidomics and metabolomics studies.
  • To provide a tool for assessing sample quality throughout the research process.
  • To support the reliable application of omics technologies in clinical settings.

Main Methods:

  • Aggregation of data from multiple pre-analytical studies into a centralized database.
  • Development of flexible data evaluation approaches.
  • Implementation of an RShiny-based web application (ALISTER) for broad applicability.

Main Results:

  • ALISTER facilitates decision-making on blood sample stability for lipidomic and metabolomic studies.
  • The application provides sampling recommendations for planning and retrospective quality assessment.
  • It supports biomarker research, biobank sample analysis, and clinical testing.

Conclusions:

  • ALISTER is publicly available at https://itmp.shinyapps.io/alister/.
  • The tool simplifies data-driven decisions for pre-analytical blood sample handling.
  • ALISTER meets diverse needs across various clinical investigation perspectives.