Evidence map›Paper›PMID 21282400›Full record

ArticleThe Journal of general physiology2011

Non-vesicular transfer of membrane proteins from nanoparticles to lipid bilayers.

Sourabh Banerjee, Crina M Nimigean

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of general physiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Conformational landscape and clustering of human type 2 IPbioRxiv : the preprint server for biology · 2026
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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

2 authors at 1 institution in 1 country.

Sourabh BanerjeeDepartment of Anesthesiology and Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY 10021, USA.
Crina M Nimigean
Cornell University · US

Funding

MECHANISM OF ION CHANNEL MODULATION BY LIGANDSR01GM077560 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI NIMIGEAN, CRINA M · 2007 to 2011
$1.9M
NIGMS NIH HHS R01 GM077560NIGMS NIH HHS R01GM077560NIGMS NIH HHS R01GM077560-04S1
6 · The paper itself

Abstract

Discoidal lipoproteins are a novel class of nanoparticles for studying membrane proteins (MPs) in a soluble, native lipid environment, using assays that have not been traditionally applied to transmembrane proteins. Here, we report the successful delivery of an ion channel from these particles, called nanoscale apolipoprotein-bound bilayers (NABBs), to a distinct, continuous lipid bilayer that will allow both ensemble assays, made possible by the soluble NABB platform, and single-molecule assays, to be performed from the same biochemical preparation. We optimized the incorporation and verified the homogeneity of NABBs containing a prototypical potassium channel, KcsA. We also evaluated the transfer of KcsA from the NABBs to lipid bilayers using single-channel electrophysiology and found that the functional properties of the channel remained intact. NABBs containing KcsA were stable, homogeneous, and able to spontaneously deliver the channel to black lipid membranes without measurably affecting the electrical properties of the bilayer. Our results are the first to demonstrate the transfer of a MP from NABBs to a different lipid bilayer without involving vesicle fusion.

Indexed as

AnimalsApolipoprotein A-ILipid BilayersMembrane FusionMembrane ProteinsNanoparticlesPotassium ChannelsZebrafishApolipoprotein A-ILipid BilayersMembrane ProteinsPotassium Channels

Identifiers

PMID21282400
PMCPMC3032376
OpenAlexW1969454557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.