Evidence map›Paper›PMID 40782689›Full record

ReviewCurrent opinion in structural biology2025

Solid-state NMR of membrane proteins in situ.

Francesca M Marassi, Guido Pintacuda

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. bioRxiv : the preprint server for biology · 2025
    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

2 authors.

Francesca M MarassiDepartment of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226-3548, USA. Electronic address: fmarassi@MCW.edu.
Guido PintacudaCentre de RMN à Très Hauts Champs de Lyon, CNRS / ENS Lyon / UCB Lyon 1, 5 rue de la Doua, 69100 Villeurbanne, France. Electronic address: guido.pintacuda@ens-lyon.fr.

Funding

Project 4 - Mechanisms of pyrophosphate dysregulationP01AG081167 · NIA · MEDICAL COLLEGE OF WISCONSIN · PI Francesca M Marassi · 2023 to 2026
$13.0M
Membrane Protein Effectors of Pathogen Interactions With HostR35GM118186 · NIGMS · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI Francesca M Marassi · 2016 to 2026
$8.5M
A 600 MHz NMR spectrometer upgrade for the Sanford Burnham Prebys Cancer CenterS10OD028716 · OD · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI MARASSI, FRANCESCA M · 2020 to 2020
$926k
NIA NIH HHS P01 AG081167NIGMS NIH HHS R35 GM118186NIH HHS S10 OD028716
6 · The paper itself

Abstract

Membrane proteins have evolved to function as part of specialized biological membranes, and their structures and activities are highly susceptible to their local environment. Detergents and lipid mimetics replicate certain aspects of biological membranes, and have been used to produce an exceptional body of structural data, but do not fully capture the complex, asymmetric properties of the native environment and can alter structure and function. Here, we review recent advances in nuclear magnetic resonance (NMR) that enable the examination of membrane protein structure and activity in situ, within native membranes. The development of optimized protein expression strategies, isotopic labeling schemes, powerful instrumentation and specialized pulse sequences offer new opportunities for exploring the new frontier of in situ structural biology. By outlining the framework for in situ NMR of membrane proteins from conceptualization to experiments we hope to inspire new research in this growing and important area.

Indexed as

Membrane ProteinsNuclear Magnetic Resonance, BiomolecularHumansMembrane Proteins

Identifiers

PMID40782689
PMCPMC12342655

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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.