Evidence map›Paper›PMID 42156677›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Imaging Lipid-Associated Macromolecular Structures by Optimized Negative-Staining Transmission Electron Microscopy.

Jianfang Liu, Meng Zhang, Gang Ren

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jianfang LiuMolecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Meng ZhangMolecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Gang RenMolecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. gren@lbl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many macromolecules, including transmembrane proteins and apolipoproteins, interact with lipids and membranes and play crucial roles in diverse biological processes. Understanding macromolecule-lipid interactions at the structural level is essential for elucidating their functions and mechanisms. However, determining the structure of macromolecules, particularly proteins in their lipid-bound state, has traditionally been challenging for X-ray crystallography due to the conformational and compositional heterogeneity of macromolecule-lipid complexes. Transmission electron microscopy (TEM) offers a unique capability to directly visualizing individual macromolecular particles in the presence of lipid interactions. Among TEM techniques, negative staining (NS) is a fast and widely used approach for imaging macromolecules. However, conventional NS protocols often introduce artifacts in lipid-associated protein samples, such as rouleaux formation in lipoproteins, which can compromise structural interpretation. To address these limitations, Ren and colleagues developed an optimized negative staining (OpNS) protocol by refining earlier methods and validating the results against cryo-electron microscopy (cryo-EM) images of lipoproteins embedded in vitrified ice. This optimized protocol minimizes artifacts and produces "near-native" particle images with high quality. It enables more accurate structural analysis, particularly for three-dimensional (3D) reconstructions of single macromolecular particles without averaging, using individual-particle electron tomography (IPET). This improved protocol provides a robust, efficient, and reliable method for imaging macromolecules in their lipid-binding states, offering significant advances in understanding macromolecule-lipid interactions.

Indexed as

LipidsMacromolecular SubstancesMicroscopy, Electron, TransmissionNegative StainingCryoelectron MicroscopyLipoproteinsLipidsLipoproteinsMacromolecular SubstancesIndividual-particle electron tomographyIPETLipoprotein morphologyLipoprotein structureMacromoleculer structureNegative-staining electron microscopyOpNSOptimized negative-staining protocolSingle molecule 3D structureTransmission electron microscopy

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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.