Evidence map›Paper›PMID 41739268›Full record

ArticleJournal of biomolecular NMR2026

Cupriavidus necator, an alternative source for isotopic enrichment of proteins expressed in insect cells for NMR investigations.

Santosh L Gande, Sridhar Sreeramulu, Krishna Saxena, Fiona Rupprecht, Julian David Langer, Hermann Heumann, Harald Schwalbe

Abstract read
In one paragraph

Article in Journal of biomolecular NMR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Santosh L GandeCenter for Biomolecular Magnetic Resonance (BMRZ), Institute for Organic Chemistry and Chemical Biology, Max-von-Laue-Str. 7, 60438, Frankfurt/M, Germany.
Sridhar SreeramuluCenter for Biomolecular Magnetic Resonance (BMRZ), Institute for Organic Chemistry and Chemical Biology, Max-von-Laue-Str. 7, 60438, Frankfurt/M, Germany.
Krishna SaxenaCenter for Biomolecular Magnetic Resonance (BMRZ), Institute for Organic Chemistry and Chemical Biology, Max-von-Laue-Str. 7, 60438, Frankfurt/M, Germany.
Fiona RupprechtProteomics, Max Planck Institute of Biophysics, Frankfurt am Main, Germany.
Julian David LangerProteomics, Max Planck Institute of Biophysics, Frankfurt am Main, Germany.
Hermann HeumannSilantes GmbH, Gollierstr. 70C, 80339, München, Germany.
Harald SchwalbeCenter for Biomolecular Magnetic Resonance (BMRZ), Institute for Organic Chemistry and Chemical Biology, Max-von-Laue-Str. 7, 60438, Frankfurt/M, Germany. schwalbe@nmr.uni-frankfurt.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isotopic enrichment of pharmacologically relevant protein targets is crucial for structural studies by nuclear magnetic resonance (NMR) and plays a key role in advancing structure-guided drug discovery. Many clinically important drug targets require expression in eukaryotic systems-such as mammalian, yeast, or insect cells-rather than prokaryotic hosts. This requirement limits the feasibility of high-throughput isotopic labeling and poses challenges for obtaining uniformly isotope-labeled proteins suitable for NMR analysis. While several enrichment strategies have been developed, no broadly applicable enrichment platform has emerged for eukaryotic expression systems. In this study, we introduce Cupriavidus necator as an alternative biological source for

Indexed as

Cupriavidus necatorIsotope LabelingNuclear Magnetic Resonance, BiomolecularAnimalsCarbon IsotopesInsectaNitrogen IsotopesReceptor, EphA2Sf9 CellsCarbon IsotopesNitrogen IsotopesReceptor, EphA2Eukaryotic expressionInsect cellsIsotope enrichmentNMRProtein labeling

Identifiers

PMID41739268
PMCPMC12935839

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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.