ArticleNature protocols2018
Identifying key membrane protein lipid interactions using mass spectrometry.
Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
73 citing papers in PubMed, 116 citations in OpenAlex.
- Probing non-covalent membrane protein-lipid interactions using sheath liquid capillary electrophoresis-native top-down mass spectrometry.The Analyst · 2026Article
- Isolation and characterization of plant plasma membrane P-type HScientific reports · 2026Article
- Diverse regulation of functional dimerization of a sugar transporter by different interfacial lipids.Nature communications · 2026Article
- Expression, Purification, and Structural Characterization of Membrane Proteins: A Case Study of the ABC Transporter MsbA.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Hybrid Detergents Facilitate Scalable Charge Reduction and Stabilize Membrane Proteins While Retaining Lipid Interactions.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025Article
- Endogenous Aquaporin-0 Lipid Binding in Ocular Lens Tissue via Native Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2025Article
- Structural basis of stepwise proton sensing-mediated GPCR activation.Cell research · 2025Article
- Comprehensive Identification of Lipid-Membrane Protein Interactions via Advanced Proteomics and Extended Lipid-Immobilized Bead Technology.Analytical chemistry · 2025Article
- Effects of Surface Charge of Amphiphilic Peptides on Peptide-Lipid Interactions in the Gas Phase and in Solution.Analytical chemistry · 2025Article
- Native MS-guided lipidomics to define endogenous lipid microenvironments of eukaryotic receptors and transporters.Nature protocols · 2025Article
- CodY controls the SaeR/S two-component system by modulating branched-chain fatty acid synthesis inJournal of bacteriology · 2024Article
- Investigating Lipid Transporter Protein and Lipid Interactions Using Variable Temperature Electrospray Ionization, Ultraviolet Photodissociation Mass Spectrometry, and Collision Cross Section Analysis.Analytical chemistry · 2024Article
- The complete assembly of human LAT1-4F2hc complex provides insights into its regulation, function and localisation.Nature communications · 2024Article
- Capture of endogenous lipids in peptidiscs and effect on protein stability and activity.iScience · 2024Article
- Phospholipids Differentially Regulate CaACS chemical biology · 2024Article
- Dysregulation of cellular membrane homeostasis as a crucial modulator of cancer risk.The FEBS journal · 2024Review
- Mechanism of Obesity-Related Lipotoxicity and Clinical Perspective.Advances in experimental medicine and biology · 2024Review
- Comparing ATPase activity of ATP-binding cassette subfamily C member 4, lamprey CFTR, and human CFTR using an antimony-phosphomolybdate assay.Frontiers in pharmacology · 2024Article
- Online Buffer Exchange Enables Automated Membrane Protein Analysis by Native Mass Spectrometry.Analytical chemistry · 2023Article
- Deciphering Solution and Gas-Phase Interactions between Peptides and Lipids by Native Mass Spectrometry.Analytical chemistry · 2023Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
With the recent success in determining membrane protein structures, further detailed understanding of the identity and function of the bound lipidome is essential. Using an approach that combines high-energy native mass spectrometry (HE-nMS) and solution-phase lipid profiling, this protocol can be used to determine the identity of the endogenous lipids that directly interact with a protein. Furthermore, this method can identify systems in which such lipid binding has a major role in regulating the oligomeric assembly of membrane proteins. The protocol begins with recording of the native mass spectrum of the protein of interest, under successive delipidation conditions, to determine whether delipidation leads to disruption of the oligomeric state. Subsequently, we propose using a bipronged strategy: first, an HE-nMS platform is used that allows dissociation of the detergent micelle at the front end of the instrument. This allows for isolation of the protein-lipid complex at the quadrupole and successive fragmentation at the collision cell, which leads to identification of the bound lipid masses. Next, simultaneous coupling of this with in-solution LC-MS/MS-based identification of extracted lipids reveals the complete identity of the interacting lipidome that copurifies with the proteins. Assimilation of the results of these two sets of experiments divulges the complete identity of the set of lipids that directly interact with the membrane protein of interest, and can further delineate its role in maintaining the oligomeric state of the protein. The entire procedure takes 2 d to complete.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.