Evidence map›Paper›PMID 34085031›Full record

ArticleACS applied nano materials2021

Sensing Enzyme Activation Heat Capacity at the Single-Molecule Level Using Gold-Nanorod-Based Optical Whispering Gallery Modes.

Sivaraman Subramanian, Hannah B L Jones, Simona Frustaci, Samuel Winter, Marc W van der Kamp, Vickery L Arcus, Christopher R Pudney, Frank Vollmer

Abstract read
In one paragraph

Article in ACS applied nano materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Roadmap on optical sensors.Journal of optics (2010) · 2024
    Review
  11. Article
  12. Label-free optical biosensors in the pandemic era.Nanophotonics (Berlin, Germany) · 2022
    Review
  13. Article
  14. Article
  15. 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

8 authors.

Sivaraman SubramanianLiving Systems Institute, Department of Physics & Astronomy, University of Exeter, Exeter EX4 4QD, U.K.ORCID 0000-0001-6856-9867
Hannah B L JonesDepartment of Biology and Biochemistry, Centre for Biosensors, Bioelectronics and Biodevices, University of Bath, Bath BA2 7AY, U.K.
Simona FrustaciLiving Systems Institute, Department of Physics & Astronomy, University of Exeter, Exeter EX4 4QD, U.K.
Samuel WinterDepartment of Biology and Biochemistry, Centre for Biosensors, Bioelectronics and Biodevices, University of Bath, Bath BA2 7AY, U.K.
Marc W van der KampSchool of Biochemistry, University of Bristol, Bristol BS8 1TD, U.K.ORCID 0000-0002-8060-3359
Vickery L ArcusTe Aka Ma̅tuatua - School of Science, University of Waikato, Hamilton 3240, New Zealand.
Christopher R PudneyDepartment of Biology and Biochemistry, Centre for Biosensors, Bioelectronics and Biodevices, University of Bath, Bath BA2 7AY, U.K.ORCID 0000-0001-6211-0086
Frank VollmerLiving Systems Institute, Department of Physics & Astronomy, University of Exeter, Exeter EX4 4QD, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we report a label-free gold nanoparticle-based single-molecule optical platform to study the immobilization, activity, and thermodynamics of single enzymes. The sensor uses plasmonic gold nanoparticles coupled to optical whispering gallery modes (WGMs) to probe enzyme conformational dynamics during turnover at a microsecond time resolution. Using a glucosidase enzyme as the model system, we explore the temperature dependence of the enzyme turnover at the single-molecule (SM) level. A recent physical model for understanding enzyme temperature dependencies (macromolecular rate theory; MMRT) has emerged as a powerful tool to study the relationship between enzyme turnover and thermodynamics. Using WGMs, SM enzyme measurements enable us to accurately track turnover as a function of conformational changes and therefore to quantitatively probe the key feature of the MMRT model, the activation heat capacity, at the ultimate level of SM. Our data shows that WGMs are extraordinarily sensitive to protein conformational change and can discern both multiple steps with turnover as well as microscopic conformational substates within those steps. The temperature dependence studies show that the MMRT model can be applied to a range of steps within turnover at the SM scale that is associated with conformational change. Our study validates the notion that MMRT captures differences in dynamics between states. The WGM sensors provide a platform for the quantitative analysis of SM activation heat capacity, applying MMRT to the label-free sensing of microsecond substates of active enzymes.

Identifiers

PMID34085031
PMCPMC8165693

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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.