Evidence map›Paper›PMID 39609567›Full record

ArticleNature methods2025

A proteome-wide quantitative platform for nanoscale spatially resolved extraction of membrane proteins into native nanodiscs.

Caroline Brown, Snehasish Ghosh, Rachel McAllister, Mukesh Kumar, Gerard Walker, Eric Sun, Talat Aman, Aniruddha Panda, Shailesh Kumar, Wenxue Li and 5 more

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Deciphering the language of mingling lipids and proteins.Current opinion in structural biology · 2025
    Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Caroline Brown *Nanobiology Institute, Yale University, West Haven, CT, USA.ORCID http://orcid.org/0000-0002-2751-9262
Snehasish Ghosh *Nanobiology Institute, Yale University, West Haven, CT, USA.ORCID http://orcid.org/0000-0003-0472-747X
Rachel McAllisterNanobiology Institute, Yale University, West Haven, CT, USA.
Mukesh KumarF.M. Kirby Neurobiology Center, Department of Neurobiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Gerard WalkerNanobiology Institute, Yale University, West Haven, CT, USA.ORCID http://orcid.org/0000-0003-1200-7317
Eric SunNanobiology Institute, Yale University, West Haven, CT, USA.
Talat AmanNanobiology Institute, Yale University, West Haven, CT, USA.
Aniruddha PandaNanobiology Institute, Yale University, West Haven, CT, USA.ORCID http://orcid.org/0000-0002-9447-9547
Shailesh KumarDepartment of Pharmacology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-2321-4322
Wenxue LiDepartment of Pharmacology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-8902-0184
Jeff ColemanNanobiology Institute, Yale University, West Haven, CT, USA.
Yansheng LiuDepartment of Pharmacology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-2626-3912
James E RothmanNanobiology Institute, Yale University, West Haven, CT, USA.
Moitrayee BhattacharyyaDepartment of Pharmacology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-2168-1541
Kallol GuptaNanobiology Institute, Yale University, West Haven, CT, USA. Kallol.gupta@yale.edu.ORCID http://orcid.org/0000-0002-3557-3242

Funding

Understanding how membrane composition directs membrane protein structure and functionRM1GM149406 · NIGMS · YALE UNIVERSITY · PI Joel Adam Butterwick, KATHRYN M FERGUSON · 2023 to 2026
$8.4M
Molecular mechanism of regulation and activation of membrane proteins in native membrane milieuR35GM147095 · NIGMS · YALE UNIVERSITY · PI Moitrayee Bhattacharyya · 2022 to 2026
$2.0M
Understanding organization of membrane proteins and lipids through lipid vesicle native mass spectrometryR01GM141192 · NIGMS · YALE UNIVERSITY · PI GUPTA, KALLOL · 2021 to 2025
$1.9M
NIGMS NIH HHS R01 GM141192NIGMS NIH HHS R35 GM147095NIGMS NIH HHS RM1 GM149406U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM141192U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM147095U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) RM1GM149406
6 · The paper itself

Abstract

The native membrane environment profoundly influences every aspect of membrane protein (MP) biology. Despite this, the most prevalent method of studying MPs uses detergents to disrupt and remove this vital membrane context, impeding our ability to decipher the local molecular context and its effect. Here we develop a membrane proteome-wide platform that enables rapid spatially resolved extraction of target MPs directly from cellular membranes into native nanodiscs that maintain the local membrane context, using a library of membrane-active polymers. We accompany this with an open-access database that quantifies the polymer-specific extraction efficiency for 2,065 unique mammalian MPs and provides the most optimized extraction condition for each. To validate, we demonstrate how this resource can enable rapid extraction and purification of target MPs from different organellar membranes with high efficiency and purity. Further, we show how the database can be extended to capture overexpressed multiprotein complexes by taking two synaptic vesicle MPs. We expect these publicly available resources to empower researchers across disciplines to efficiently capture membrane 'nano-scoops' containing a target MP and interface with structural, functional and bioanalytical approaches.

Indexed as

Membrane ProteinsNanostructuresProteomeProteomicsAnimalsCell MembraneHumansMembrane ProteinsProteome

Identifiers

PMID39609567
PMCPMC11810782

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.