Evidence map›Paper›PMID 27149326›Full record

ArticleNature protocols2016

A protocol for the systematic and quantitative measurement of protein-lipid interactions using the liposome-microarray-based assay.

Antoine-Emmanuel Saliba, Ivana Vonkova, Samy Deghou, Stefano Ceschia, Christian Tischer, Karl G Kugler, Peer Bork, Jan Ellenberg, Anne-Claude Gavin

Abstract read
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In one paragraph

Article in Nature protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Exploring lipid-protein interactions in plant membranes.Journal of experimental botany · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Antoine-Emmanuel SalibaEuropean Molecular Biology Laboratory (EMBL) Structural and Computational Biology Unit, Heidelberg, Germany.
Ivana VonkovaEuropean Molecular Biology Laboratory (EMBL) Structural and Computational Biology Unit, Heidelberg, Germany.
Samy DeghouEuropean Molecular Biology Laboratory (EMBL) Structural and Computational Biology Unit, Heidelberg, Germany.
Stefano CeschiaEuropean Molecular Biology Laboratory (EMBL) Structural and Computational Biology Unit, Heidelberg, Germany.
Christian TischerEuropean Molecular Biology Laboratory (EMBL) Advanced Light Microscopy Facility, Heidelberg, Germany.
Karl G KuglerEuropean Molecular Biology Laboratory (EMBL) Structural and Computational Biology Unit, Heidelberg, Germany.
Peer BorkEuropean Molecular Biology Laboratory (EMBL) Structural and Computational Biology Unit, Heidelberg, Germany.
Jan EllenbergEuropean Molecular Biology Laboratory (EMBL) Cell Biology and Biophysics Unit, Heidelberg, Germany.
Anne-Claude GavinEuropean Molecular Biology Laboratory (EMBL) Structural and Computational Biology Unit, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipids organize the activity of the cell's proteome through a complex network of interactions. The assembly of comprehensive atlases embracing all protein-lipid interactions is an important challenge that requires innovative methods. We recently developed a liposome-microarray-based assay (LiMA) that integrates liposomes, microfluidics and fluorescence microscopy and which is capable of measuring protein recruitment to membranes in a quantitative and high-throughput manner. Compared with previous assays that are labor-intensive and difficult to scale up, LiMA improves the protein-lipid interaction assay throughput by at least three orders of magnitude. Here we provide a step-by-step LiMA protocol that includes the following: (i) the serial and generic production of the liposome microarray; (ii) its integration into a microfluidic format; (iii) the measurement of fluorescently labeled protein (either purified proteins or from cell lysate) recruitment to liposomal membranes using high-throughput microscopy; (iv) automated image analysis pipelines to quantify protein-lipid interactions; and (v) data quality analysis. In addition, we discuss the experimental design, including the relevant quality controls. Overall, the protocol-including device preparation, assay and data analysis-takes 6-8 d. This protocol paves the way for protein-lipid interaction screens to be performed on the proteome and lipidome scales.

Indexed as

Cell LineHumansImage Processing, Computer-AssistedLab-On-A-Chip DevicesLiposomesMicroarray AnalysisProtein BindingProteinsQuality ControlLiposomesProteins

Identifiers

PMID27149326

What OpenQuestion holds

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Registered trials

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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.