ArticleJACS Au2023
Membrane Protein Structures in Native Cellular Membranes Revealed by Solid-State NMR Spectroscopy.
Article in JACS Au, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Atomic structure and dynamics of the mechanosensitive channel MscL fromScience advances · 2026Article
- Nuclear magnetic resonance of membrane proteins-Advances and opportunities.Current opinion in structural biology · 2026Review
- A random fractionalMagnetic resonance letters · 2026Article
- Structural Characterization and Functional Annotation of Hypothetical Proteins in the Multidrug-Resistant Strains ofBioMed research international · 2026Article
- Dynamic structures of a membrane transporter in native cellular membranes.Science advances · 2025Article
- Article
- Solid-state NMR of membrane proteins in situ.Current opinion in structural biology · 2025Review
- Progress, Challenges and Opportunities of NMR and XL-MS for Cellular Structural Biology.JACS Au · 2024Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The structural characterization of membrane proteins within the cellular membrane environment is critical for understanding the molecular mechanism in their native functional context. However, conducting residue site-specific structural analysis of membrane proteins in native membranes by solid-state NMR faces challenges due to poor spectral sensitivity and serious interference from background protein signals. In this study, we present a new protocol that combines various strategies for cellular membrane sample preparations, enabling us to reveal the secondary structure of the mechanosensitive channel of large conductance from
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Registered trials
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.