Evidence map›Paper›PMID 32551584›Full record

ArticleAnalytical chemistry2020

Real-Time Quantitative In-Cell NMR: Ligand Binding and Protein Oxidation Monitored in Human Cells Using Multivariate Curve Resolution.

Enrico Luchinat, Letizia Barbieri, Timothy F Campbell, Lucia Banci

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
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

28 citing papers in PubMed, 71 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Extracting Trends From NMR Data With TrAGICo: A Python Toolbox.Magnetic resonance in chemistry : MRC · 2025
    Article
  6. Spatially resolved DNP-assisted NMR illuminates the conformational ensemble of α-synuclein in intact viable cells.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Stability of the polarization agent AsymPolPOK in intact and lysed mammalian cells.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Ligand-Based Competition Binding by Real-TimeJournal of medicinal chemistry · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Direct Expression of Fluorinated Proteins in Human Cells forJournal of the American Chemical Society · 2023
    Article
  18. Article
  19. Review
  20. 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 at 2 institutions in 1 country.

Enrico LuchinatMagnetic Resonance Center - CERM, University of Florence, Via Luigi Sacconi 6, 50019 Sesto Fiorentino, Florence Italy.ORCID 0000-0003-4183-4311
Letizia BarbieriMagnetic Resonance Center - CERM, University of Florence, Via Luigi Sacconi 6, 50019 Sesto Fiorentino, Florence Italy.
Timothy F CampbellMagnetic Resonance Center - CERM, University of Florence, Via Luigi Sacconi 6, 50019 Sesto Fiorentino, Florence Italy.
Lucia BanciMagnetic Resonance Center - CERM, University of Florence, Via Luigi Sacconi 6, 50019 Sesto Fiorentino, Florence Italy.ORCID 0000-0003-0562-5774
Interuniversity Consortium for Magnetic Resonance · ITConsorzio Interuniversitario per lo Sviluppo dei Sistemi a Grande Interfase · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In-cell NMR can investigate protein conformational changes at atomic resolution, such as those changes induced by drug binding or chemical modifications, directly in living human cells, and therefore has great potential in the context of drug development as it can provide an early assessment of drug potency. NMR bioreactors can greatly improve the cell sample stability over time and, more importantly, allow for recording in-cell NMR data in real time to monitor the evolution of intracellular processes, thus providing unique insights into the kinetics of drug-target interactions. However, current implementations are limited by low cell viability at >24 h times, the reduced sensitivity compared to "static" experiments and the lack of protocols for automated and quantitative analysis of large amounts of data. Here, we report an improved bioreactor design which maintains human cells alive and metabolically active for up to 72 h, and a semiautomated workflow for quantitative analysis of real-time in-cell NMR data relying on Multivariate Curve Resolution. We apply this setup to monitor protein-ligand interactions and protein oxidation in real time. High-quality concentration profiles can be obtained from noisy 1D and 2D NMR data with high temporal resolution, allowing further analysis by fitting with kinetic models. This unique approach can therefore be applied to investigate complex kinetic behaviors of macromolecules in a cellular setting, and could be extended in principle to any real-time NMR application in live cells.

Indexed as

Nuclear Magnetic Resonance, BiomolecularAcetazolamideBinding SitesCarbonic Anhydrase IICarbonic Anhydrase InhibitorsCarrier ProteinsCells, CulturedHEK293 CellsHumansLigandsMethazolamideNerve Tissue ProteinsOxidation-ReductionTime FactorsAcetazolamideCA2 protein, humanCarbonic Anhydrase IICarbonic Anhydrase InhibitorsCarrier ProteinsLigandsMethazolamideNerve Tissue Proteins

Identifiers

PMID32551584
PMCPMC7735651
OpenAlexW3036786753

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.