Evidence map›Paper›PMID 26061224›Full record

ArticleProtein science : a publication of the Protein Society2015

Construction of a robust and sensitive arginine biosensor through ancestral protein reconstruction.

Jason H Whitfield, William H Zhang, Michel K Herde, Ben E Clifton, Johanna Radziejewski, Harald Janovjak, Christian Henneberger, Colin J Jackson

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 72 citations in OpenAlex.

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  19. Redesign of LAOBP to bind novel l-amino acid ligands.Protein science : a publication of the Protein Society · 2018
    Article
  20. An improvedThe Journal of biological chemistry · 2018
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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 at 4 institutions in 4 countries.

Jason H WhitfieldResearch School of Chemistry, Australian National University, Canberra, Australia.
William H ZhangResearch School of Chemistry, Australian National University, Canberra, Australia.
Michel K HerdeInstitute of Cellular Neurosciences, University of Bonn Medical School, Bonn, Germany.
Ben E CliftonResearch School of Chemistry, Australian National University, Canberra, Australia.
Johanna RadziejewskiInstitute of Cellular Neurosciences, University of Bonn Medical School, Bonn, Germany.
Harald JanovjakInstitute of Science and Technology Austria (IST Austria), Klosterneuburg, Austria.
Christian HennebergerInstitute of Cellular Neurosciences, University of Bonn Medical School, Bonn, Germany.
Colin J JacksonResearch School of Chemistry, Australian National University, Canberra, Australia.
Australian National University · AUUniversity of Bonn · DEInstitute of Science and Technology Austria · ATUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensors for signaling molecules allow the study of physiological processes by bringing together the fields of protein engineering, fluorescence imaging, and cell biology. Construction of genetically encoded biosensors generally relies on the availability of a binding "core" that is both specific and stable, which can then be combined with fluorescent molecules to create a sensor. However, binding proteins with the desired properties are often not available in nature and substantial improvement to sensors can be required, particularly with regard to their durability. Ancestral protein reconstruction is a powerful protein-engineering tool able to generate highly stable and functional proteins. In this work, we sought to establish the utility of ancestral protein reconstruction to biosensor development, beginning with the construction of an l-arginine biosensor. l-arginine, as the immediate precursor to nitric oxide, is an important molecule in many physiological contexts including brain function. Using a combination of ancestral reconstruction and circular permutation, we constructed a Förster resonance energy transfer (FRET) biosensor for l-arginine (cpFLIPR). cpFLIPR displays high sensitivity and specificity, with a Kd of ∼14 µM and a maximal dynamic range of 35%. Importantly, cpFLIPR was highly robust, enabling accurate l-arginine measurement at physiological temperatures. We established that cpFLIPR is compatible with two-photon excitation fluorescence microscopy and report l-arginine concentrations in brain tissue.

Indexed as

ArginineBacterial ProteinsBiosensing TechniquesComputer SimulationEvolution, MolecularFluorescence Resonance Energy TransferFluorescent DyesNitric OxideOptical ImagingPeriplasmic Binding ProteinsPhylogenyProtein EngineeringSignal TransductionArginineBacterial ProteinsFluorescent DyesNitric OxidePeriplasmic Binding Proteinsancestral protein reconstructionbiosensorfluorescenceFörster resonance energy transfer (FRET)neurobiologynitric oxideprotein engineering

Identifiers

PMID26061224
PMCPMC4570536
OpenAlexW1573732555

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.