Evidence map›Paper›PMID 26392565›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Thermodynamics of protein destabilization in live cells.

Jens Danielsson, Xin Mu, Lisa Lang, Huabing Wang, Andres Binolfi, François-Xavier Theillet, Beata Bekei, Derek T Logan, Philipp Selenko, Håkan Wennerström and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing 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

90 citing papers in PubMed.

  1. Review
  2. Review
  3. Computational and Experimental Approaches and Applications of Biological NMR.Advances in experimental medicine and biology · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Crowding-induced stabilization and destabilization in a single protein.Protein science : a publication of the Protein Society · 2025
    Article
  12. Article
  13. Article
  14. RNA Structure: Past, Future, and Gene Therapy Applications.International journal of molecular sciences · 2024
    Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

30 more citing papers are in PubMed but not listed here.

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

11 authors.

Jens DanielssonDepartment of Biochemistry and Biophysics, Arrhenius Laboratories of Natural Sciences, Stockholm University, 10691 Stockholm, Sweden; mikael.oliveberg@dbb.su.se jens.danielsson@dbb.su.se.
Xin MuDepartment of Biochemistry and Biophysics, Arrhenius Laboratories of Natural Sciences, Stockholm University, 10691 Stockholm, Sweden;
Lisa LangDepartment of Biochemistry and Biophysics, Arrhenius Laboratories of Natural Sciences, Stockholm University, 10691 Stockholm, Sweden;
Huabing WangDepartment of Biochemistry and Biophysics, Arrhenius Laboratories of Natural Sciences, Stockholm University, 10691 Stockholm, Sweden;
Andres BinolfiIn-Cell Nuclear Magnetic Resonance (NMR) Laboratory, Department of NMR-Supported Structural Biology, Leibniz Institute of Molecular Pharmacology (FMP Berlin), 13125 Berlin, Germany;
François-Xavier TheilletIn-Cell Nuclear Magnetic Resonance (NMR) Laboratory, Department of NMR-Supported Structural Biology, Leibniz Institute of Molecular Pharmacology (FMP Berlin), 13125 Berlin, Germany;
Beata BekeiIn-Cell Nuclear Magnetic Resonance (NMR) Laboratory, Department of NMR-Supported Structural Biology, Leibniz Institute of Molecular Pharmacology (FMP Berlin), 13125 Berlin, Germany;
Derek T LoganDivision of Biochemistry and Structural Biology, Department of Chemistry, Lund University, 22100 Lund, Sweden;
Philipp SelenkoIn-Cell Nuclear Magnetic Resonance (NMR) Laboratory, Department of NMR-Supported Structural Biology, Leibniz Institute of Molecular Pharmacology (FMP Berlin), 13125 Berlin, Germany;
Håkan WennerströmDivision of Physical Chemistry, Department of Chemistry, Lund University, 22100 Lund, Sweden.
Mikael OlivebergDepartment of Biochemistry and Biophysics, Arrhenius Laboratories of Natural Sciences, Stockholm University, 10691 Stockholm, Sweden; mikael.oliveberg@dbb.su.se jens.danielsson@dbb.su.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although protein folding and stability have been well explored under simplified conditions in vitro, it is yet unclear how these basic self-organization events are modulated by the crowded interior of live cells. To find out, we use here in-cell NMR to follow at atomic resolution the thermal unfolding of a β-barrel protein inside mammalian and bacterial cells. Challenging the view from in vitro crowding effects, we find that the cells destabilize the protein at 37 °C but with a conspicuous twist: While the melting temperature goes down the cold unfolding moves into the physiological regime, coupled to an augmented heat-capacity change. The effect seems induced by transient, sequence-specific, interactions with the cellular components, acting preferentially on the unfolded ensemble. This points to a model where the in vivo influence on protein behavior is case specific, determined by the individual protein's interplay with the functionally optimized "interaction landscape" of the cellular interior.

Indexed as

Protein FoldingProtein UnfoldingThermodynamicsAlgorithmsAnimalsCatalytic DomainCell Line, TumorCircular DichroismCrystallography, X-RayEscherichia coliHumansHydrogen-Ion ConcentrationKineticsMagnetic Resonance SpectroscopyMiceModels, MolecularProteinsSuperoxide Dismutasecrowdingin vivoNMRprotein stabilitythermodynamics

Identifiers

PMID26392565
PMCPMC4603463

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.