Evidence map›Paper›PMID 39574650›Full record

ArticlebioRxiv : the preprint server for biology2024

DeFrND: detergent-free reconstitution into native nanodiscs with designer membrane scaffold peptides.

Qian Ren, Jing Wang, Vinay Idikuda, Shanwen Zhang, Jeehae Shin, W Grant Ludlam, Luis M Real Hernandez, Ilya Levental, Kirill Martemyanov, Baron Chanda and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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
0cells of the map it votes in
0citing 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

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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

5 · Who and what money

Authors and funding

11 authors.

Qian Ren
Jing Wang
Vinay Idikuda
Shanwen Zhang
Jeehae Shin
W Grant Ludlam
Luis M Real Hernandez
Ilya Levental
Kirill Martemyanov
Baron Chanda
Huan Bao

Funding

WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI James Alexander Fitzpatrick · 2013 to 2026
$27.1M
Biophysical mechanisms of gating and modulation in voltage-gated ion channel superfamilyR35NS116850 · NINDS · WASHINGTON UNIVERSITY · PI Baron Chanda · 2020 to 2026
$6.9M
Developing next-generation nanodiscs for the study and modulation of membrane proteinsDP2GM140920 · NIGMS · UNIVERSITY OF VIRGINIA · PI BAO, HUAN · 2020 to 2020
$2.7M
A cost-effective, high-throughput screening platform for modulator discovery of a-synuclein membrane interactions involved in neurodegenerative diseasesR21AG078699 · NIA · UNIVERSITY OF VIRGINIA · PI BAO, HUAN · 2023 to 2024
$492k
NIA NIH HHS R21 AG078699NIDDK NIH HHS P30 DK020579NIGMS NIH HHS DP2 GM140920NINDS NIH HHS R35 NS116850
6 · The paper itself

Abstract

Membrane scaffold proteins-based nanodiscs (NDs) have facilitated unprecedented structural and biophysical analysis of membrane proteins in a near-native lipid environment. However, successful reconstitution of membrane proteins in NDs requires prior solubilization and purification in detergents, which may impact their physiological structure and function. Furthermore, the detergent-mediated reconstitution of NDs is unlikely to recapitulate the precise composition or asymmetry of native membranes. To circumvent this fundamental limitation of traditional ND technology, we herein describe the development of membrane-solubilizing peptides to directly extract membrane proteins from native cell membranes into nanoscale discoids. By systematically protein engineering and screening, we created a new class of chemically modified Apolipoprotein-A1 mimetic peptides to enable the formation of detergent-free NDs (DeFrNDs) with high efficiency. NDs generated with these engineered membrane scaffold peptides are suitable for obtaining high-resolution structures using single-particle cryo-EM with native lipids. To further highlight the versatility of DeFrNDs, we directly extract a sampling of membrane signaling proteins with their surrounding native membranes for biochemical and biophysical interrogations.

Identifiers

PMID39574650
PMCPMC11580953

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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.