Evidence map›Paper›PMID 32759217›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Direct imaging of liquid domains in membranes by cryo-electron tomography.

Caitlin E Cornell, Alexander Mileant, Niket Thakkar, Kelly K Lee, Sarah L Keller

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 92 citations in OpenAlex.

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  18. Experimentally determined leaflet-leaflet phase diagram of an asymmetric lipid bilayer.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

5 authors at 2 institutions in 1 country.

Caitlin E CornellDepartment of Chemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0001-7675-1415
Alexander MileantDepartment of Medicinal Chemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0003-2475-1629
Niket ThakkarInstitute for Disease Modeling, Seattle, WA 98109.ORCID 0000-0001-5260-3928
Kelly K LeeDepartment of Medicinal Chemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0001-5577-9873
Sarah L KellerDepartment of Chemistry, University of Washington, Seattle, WA 98195; slkeller@uw.edu.ORCID 0000-0001-5919-0185
University of Washington · USInstitute for Disease Modeling · US

Funding

Pharmacological Sciences SupplementT32GM007750 · NIGMS · UNIVERSITY OF WASHINGTON · PI ATKINS, WILLIAM M · 1985 to 2023
$12.6M
TRAINING IN MOLECULAR BIOPHYSICST32GM008268 · NIGMS · UNIVERSITY OF WASHINGTON · PI KOLLMAN, JUSTIN M, ZHENG, NING · 1988 to 2023
$8.6M
Waters ACQUITY UPLC M-Class with NanoLockSpray ionization sourceR01GM099989 · NIGMS · UNIVERSITY OF WASHINGTON · PI LEE, KELLY KEISEN · 2012 to 2020
$3.5M
NIGMS NIH HHS R01 GM099989NIGMS NIH HHS T32 GM007750NIGMS NIH HHS T32 GM008268
6 · The paper itself

Abstract

Images of micrometer-scale domains in lipid bilayers have provided the gold standard of model-free evidence to understand the domains' shapes, sizes, and distributions. Corresponding techniques to directly and quantitatively assess smaller (nanoscale and submicron) liquid domains have been limited. Researchers commonly seek to correlate activities of membrane proteins with attributes of the domains in which they reside; doing so hinges on identification and characterization of membrane domains. Although some features of membrane domains can be probed by indirect methods, these methods are often constrained by the limitation that data must be analyzed in the context of models that require multiple assumptions or parameters. Here, we address this challenge by developing and testing two methods of identifying submicron domains in biomimetic membranes. Both methods leverage cryo-electron tomograms of ternary membranes under vitrified, hydrated conditions. The first method is optimized for probe-free applications: Domains are directly distinguished from the surrounding membrane by their thickness. This technique quantitatively and accurately measures area fractions of domains, in excellent agreement with known phase diagrams. The second method is optimized for applications in which a single label is deployed for imaging membranes by both high-resolution cryo-electron tomography and diffraction-limited optical microscopy. For this method, we test a panel of probes, find that a trimeric mCherry label performs best, and specify criteria for developing future high-performance, dual-use probes. These developments have led to direct and quantitative imaging of submicron membrane domains in vitrified, hydrated vesicles.

Indexed as

Cell MembraneElectron Microscope TomographyLipid BilayersMembrane MicrodomainsLipid Bilayersheight mismatchmembranephase separationprobe-free

Identifiers

PMID32759217
PMCPMC7443872
OpenAlexW3047259174

What OpenQuestion holds

Textmetadata
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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.