Evidence map›Paper›PMID 32053779›Full record

ArticleCell chemical biology2020

CRISPR-Mediated Protein Tagging with Nanoluciferase to Investigate Native Chemokine Receptor Function and Conformational Changes.

Carl W White, Birgit Caspar, Hannah K Vanyai, Kevin D G Pfleger, Stephen J Hill

Open access · hybridAbstract read
In one paragraph

Article in Cell chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.6field-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

32 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. CRISPR RiPCA for Investigating eIF4E-mACS chemical biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. NanoBCell reports methods · 2023
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Carl W WhiteCell Signalling and Pharmacology Research Group, Division of Physiology, Pharmacology & Neuroscience, School of Life Sciences, University of Nottingham, Queens Medical Centre, Nottingham NG7 2UH, UK; Centre of Membrane Proteins and Receptors, University of Birmingham and University of Nottingham, The Midlands, UK; Harry Perkins Institute of Medical Research and Centre for Medical Research, The University of Western Australia, QEII Medical Centre, Nedlands, WA 6009, Australia; Australian Research Council Centre for Personalised Therapeutics Technologies, Australia. Electronic address: carl.white@perkins.uwa.edu.au.
Birgit CasparCell Signalling and Pharmacology Research Group, Division of Physiology, Pharmacology & Neuroscience, School of Life Sciences, University of Nottingham, Queens Medical Centre, Nottingham NG7 2UH, UK; Centre of Membrane Proteins and Receptors, University of Birmingham and University of Nottingham, The Midlands, UK.
Hannah K VanyaiEpithelial Biology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
Kevin D G PflegerHarry Perkins Institute of Medical Research and Centre for Medical Research, The University of Western Australia, QEII Medical Centre, Nedlands, WA 6009, Australia; Australian Research Council Centre for Personalised Therapeutics Technologies, Australia; Dimerix Limited, Nedlands, WA 6009, Australia.
Stephen J HillCell Signalling and Pharmacology Research Group, Division of Physiology, Pharmacology & Neuroscience, School of Life Sciences, University of Nottingham, Queens Medical Centre, Nottingham NG7 2UH, UK; Centre of Membrane Proteins and Receptors, University of Birmingham and University of Nottingham, The Midlands, UK; Harry Perkins Institute of Medical Research and Centre for Medical Research, The University of Western Australia, QEII Medical Centre, Nedlands, WA 6009, Australia. Electronic address: stephen.hill@nottingham.ac.uk.
Australian Research Council · AUUniversity of Nottingham · GBThe Francis Crick Institute · GB

Funding

Medical Research Council MR/N020081/1
6 · The paper itself

Abstract

G protein-coupled receptors are a major class of membrane receptors that mediate physiological and pathophysiological cellular signaling. Many aspects of receptor activation and signaling can be investigated using genetically encoded luminescent fusion proteins. However, the use of these biosensors in live cell systems requires the exogenous expression of the tagged protein of interest. To maintain the normal cellular context here we use CRISPR/Cas9-mediated homology-directed repair to insert luminescent tags into the endogenous genome. Using NanoLuc and bioluminescence resonance energy transfer we demonstrate fluorescent ligand binding at genome-edited chemokine receptors. We also demonstrate that split-NanoLuc complementation can be used to investigate conformational changes and internalization of CXCR4 and that recruitment of β-arrestin2 to CXCR4 can be monitored when both proteins are natively expressed. These results show that genetically encoded luminescent biosensors can be used to investigate numerous aspects of receptor function at native expression levels.

Indexed as

Bioluminescence Resonance Energy Transfer TechniquesCRISPR-Cas SystemsGene Editingbeta-ArrestinsClustered Regularly Interspaced Short Palindromic RepeatsHEK293 CellsHumansLigandsLuciferasesLuminescent ProteinsProtein BindingProtein ConformationReceptors, CXCRReceptors, CXCR4ACKR3 protein, humanbeta-ArrestinsCXCR4 protein, humanLigandsLuciferasesLuminescent ProteinsReceptors, CXCRReceptors, CXCR4ACKR3CXCR4endogenous.fluorescent ligandsG protein-coupled receptorligand bindingNanoBiTNanoBRETNanoLucβ-arrestin2

Identifiers

PMID32053779
PMCPMC7242902
OpenAlexW3006420827

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.