Evidence map›Paper›PMID 41229277›Full record

ArticleChemistry (Weinheim an der Bergstrasse, Germany)2025

Hybrid Detergents Facilitate Scalable Charge Reduction and Stabilize Membrane Proteins While Retaining Lipid Interactions.

L H Urner, D Shutin, M T Agasid, C V Robinson

Abstract read
In one paragraph

Article in Chemistry (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

L H UrnerDepartment of Chemistry and Chemical Biology, TU Dortmund University, Otto-Hahn-Str. 6, 44227, Dortmund, Germany.ORCID https://orcid.org/0000-0001-8144-8955
D ShutinKavli Institute for Nanoscience Discovery, University of Oxford, South Parks Road, Oxford, Ox1 3QU, UK.
M T AgasidKavli Institute for Nanoscience Discovery, University of Oxford, South Parks Road, Oxford, Ox1 3QU, UK.
C V RobinsonKavli Institute for Nanoscience Discovery, University of Oxford, South Parks Road, Oxford, Ox1 3QU, UK.ORCID https://orcid.org/0000-0001-7829-5505

Funding

ERC Advanced GrantFonds der Chemischen Industrie Material Cost AllowanceMinisterium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen NRW return program
6 · The paper itself

Abstract

Membrane protein complexes regulate many biological functions, yet they are incredibly challenging to handle. Detergents are a key enabling technology for purification and analysis as they can provide membrane proteins with controlled solubility, stability, and heterogeneity. However, the design criteria for detergents that enable both the purification and analysis of membrane proteins with their associated lipids remain unclear. Here, we leverage the modular nature of nonionic hybrid detergents to chemically tune molecular parameters that are important for maintaining native oligomeric states of membrane protein complexes and copurifying lipids. Tuning the hydrophilic-lipophilic balance (HLB), and the relative size of a nonionic head in proximity to a tetraethylene glycol headgroup, led to altered charge reduction, retention of protein oligomers and changed the relative degree of copurifying lipids from purification to analysis in a predictable manner. Our findings represent a significant step forward in the investigation of membrane proteins and interactions with lipids.

Indexed as

DetergentsLipidsMembrane ProteinsHydrophobic and Hydrophilic InteractionsPolyethylene GlycolsSolubilityDetergentsLipidsMembrane ProteinsPolyethylene Glycolschargedetergentlipidmembraneprotein

Identifiers

PMID41229277
PMCPMC12731538

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.