Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Proteomics01:33

Proteomics

7.5K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Respiratory syncytial viral load drives ciliated cell dedifferentiation and suppresses antiviral immunity.

Science advances·2026
Same author

Modular training resources for bioimage analysis.

Journal of microscopy·2026
Same author

Zone-specific hepatocytes orchestrate the early onset of host immune defenses during <i>Staphylococcus aureus</i> bloodstream infection.

Frontiers in immunology·2026
Same author

GloBIAS: strengthening the foundations of bioimage analysis.

Nature methods·2026
Same author

NK cells promote cardiac cell death and regulate myelopoiesis in myocardial infarction.

Nature communications·2026
Same author

Loss of GPRC5D enhances the proliferative capacity and competitive fitness of myeloma upon anti-GPRC5D immunotherapy.

Leukemia·2026
Same journal

ClairS: a deep-learning method for long-read tumor-normal pair somatic small variant calling.

Nature methods·2026
Same journal

RNAbpFlow: base pair-augmented SE(3) flow matching for conditional RNA 3D structure generation.

Nature methods·2026
Same journal

Spatio-DARLIN enables robust and efficient in situ lineage tracing in mice at single-cell resolution.

Nature methods·2026
Same journal

EasyGrid: a versatile platform for automated cryo-EM sample preparation and quality control.

Nature methods·2026
Same journal

Cloud-based microscope enables live neuroimaging for 24 h and beyond with worldwide access.

Nature methods·2026
Same journal

Deep molecular profiling in three dimensions.

Nature methods·2026
See all related articles

Related Experiment Video

Updated: May 5, 2026

Lipid Vesicle-mediated Affinity Chromatography using Magnetic Activated Cell Sorting LIMACS: a Novel Method to Analyze Protein-lipid Interaction
07:33

Lipid Vesicle-mediated Affinity Chromatography using Magnetic Activated Cell Sorting LIMACS: a Novel Method to Analyze Protein-lipid Interaction

Published on: April 26, 2011

12.0K

A quantitative liposome microarray to systematically characterize protein-lipid interactions.

Antoine-Emmanuel Saliba1, Ivana Vonkova1, Stefano Ceschia2

  • 11] Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany. [2].

Nature Methods
|November 26, 2013
PubMed
Summary
This summary is machine-generated.

We developed a new method called liposome microarray-based assay (LiMA) to study lipids and proteins. This high-throughput assay quantitatively measures how proteins interact with cell membranes.

More Related Videos

A Quantitative Fluorescence Microscopy-based Single Liposome Assay for Detecting the Compositional Inhomogeneity Between Individual Liposomes
09:12

A Quantitative Fluorescence Microscopy-based Single Liposome Assay for Detecting the Compositional Inhomogeneity Between Individual Liposomes

Published on: December 13, 2019

7.5K
Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis
10:23

Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis

Published on: April 17, 2017

9.9K

Related Experiment Videos

Last Updated: May 5, 2026

Lipid Vesicle-mediated Affinity Chromatography using Magnetic Activated Cell Sorting LIMACS: a Novel Method to Analyze Protein-lipid Interaction
07:33

Lipid Vesicle-mediated Affinity Chromatography using Magnetic Activated Cell Sorting LIMACS: a Novel Method to Analyze Protein-lipid Interaction

Published on: April 26, 2011

12.0K
A Quantitative Fluorescence Microscopy-based Single Liposome Assay for Detecting the Compositional Inhomogeneity Between Individual Liposomes
09:12

A Quantitative Fluorescence Microscopy-based Single Liposome Assay for Detecting the Compositional Inhomogeneity Between Individual Liposomes

Published on: December 13, 2019

7.5K
Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis
10:23

Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis

Published on: April 17, 2017

9.9K

Area of Science:

  • Biochemistry and Molecular Biology
  • Lipidomics and Membrane Biology

Background:

  • Lipids are crucial in biological processes, serving as structural components, scaffolds, and signaling molecules.
  • Despite their importance, lipids are under-represented in current biological network knowledge.
  • Understanding lipid-protein interactions is essential for deciphering complex biological pathways.

Purpose of the Study:

  • To introduce a novel method for studying lipid-protein interactions.
  • To enable quantitative, automated, multiplexed, and high-throughput measurement of protein recruitment to membranes.

Main Methods:

  • Development of a liposome microarray-based assay (LiMA).
  • The assay quantifies protein binding to liposomes immobilized on a microarray.
  • Method designed for automation and high-throughput screening.

Main Results:

  • Demonstrated the capability of LiMA to measure protein recruitment to membranes.
  • The assay provides quantitative and reproducible data on lipid-protein interactions.
  • LiMA facilitates high-throughput analysis, accelerating lipidomics research.

Conclusions:

  • LiMA is a powerful new tool for investigating the roles of lipids in biological systems.
  • The method addresses the gap in understanding lipid-protein interactions within biological networks.
  • LiMA will advance research in lipidomics, membrane biology, and systems biology.